# Self-thinning: slope of log (biomass) vs log (density) is -1/2 whereas slope of log (weight) vs log (density) is -3/2, why?

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In self-thinning or intraspecific competition (more relevant for trees I guess) why does logarithm of Biomass vs logarithm Density give you a slope of -1/2 whereas logarithm of Weight vs logarithm of Density gives you a slope of -3/2? Biomass is mass (or quantity) of an organism per volume(or area), weight is mass scaled by gravitational acceleration which is a constant, unless the organism you are dealing with is very very tall. So the plots can be shifted accordingly but shouldn't slopes be more or less the same ?

source: Ecology: Concepts and Applications by Manuel Molles www.mheducation.com/highered/product/ecology-concepts-applications-molles/M0077837282.html

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Biomass here refers to the total mass of all the organisms in the population (in a unit of area), added together.

Weight here refers to the average weight or mass of an individual.

If biomass decreases, that could be because the individuals got lighter, or it could be because there are fewer of them, or both.

I think I see what's happening.

Let \$W\$ be the average mass of an individual, \$N\$ be the number of individuals, and \$B\$ be their total biomass. Then of course,

\$B=WN\$

• \$W\$ is proportional to \$N^{-frac{3}{2}}\$
• \$N\$ is proportional to \$N\$ (duh). Let's rewrite that though, as:
• \$N\$ is proportional to \$N^1\$

But that means:

\$B=WN\$ is proportional to \$N^{-frac{3}{2}} cdot N^{1} =N^{-frac{3}{2}+1} = N^{-frac{1}{2}}\$

Density increases with density (N). Weight per individual decreases with the -3/2rd power (W). So their product, biomass decreases with the -3/2 + 1 = -1/2nd power (B=WN).

## Temporal and spatial scales of kelp demography: the role of oceanographic climate.

Most important issues in community ecology involve the evaluation of scale-dependent relationships among populations and communities. In coastal habitats, the spatial variability involves the depth distribution of the species, and temporal variability involves evaluating important processes over many years and even decades during different oceanographic conditions. Do disturbances, nonequilibrium conditions, or large-scale episodic events override equilibrium mechanisms in structuring communities? What is the role of the frequency and intensity of competition as it affects comparison between density dependent/independent population control and density-vague (Strong 1986) relationships? Most important population and community processes also involve the trade-off between inter- and intraspecific competition, and the roles of disturbance and succession in population dynamics and community organization. Obviously, these processes are integrated in nature, and clarifying this integration contributes to understanding the organization of biological communities, as well as to a better perception of evolutionary processes that structure coastal communities. Finally, how do ecosystem processes, such as the control of productivity and various rate processes, influence these evolutionary processes?

An earlier paper (Tegner et al. 1997) demonstrated that the equilibrium conditions that dominated after massive El Nino and storm disturbances failed to persist through a La Nina that stimulated strong competitive dominance. This paper addresses the effects of competition and oceanographic climate across a depth gradient as they influence patterns of density, survivorship, growth, and reproduction of the most conspicuous kelp species in the Point Loma kelp forest community off San Diego, California, USA. We integrate long-term descriptive and experimental data and specifically address effects of inter- and intraspecific kelp density on these parameters in different depths and years, integrating time and space with an evaluation of the roles of large-scale oceanographic processes. We contrast small-scale patterns driven by processes (competition, disturbance, dispersal, etc.) that are also potentially very important at larger scales however, we ask whether the most lasting effects result from very large-scale, low-frequency episodic changes in the oceanographic climate.

Scales. - Understanding stability of patterns in time and space always has been a dominant theme in ecology. Ecologists have become acutely attuned to the problems of replication in study design at small scales, as well as the scale dependence of inferences derived from experimental hypothesis testing (Schneider et al. 1997, Thrush et al. 1997). Only rarely are research scales explicitly chosen to be appropriate to the questions, and, despite the fact that it is increasingly apparent that many important processes take place over longer and larger scales, most ecologists tend to avoid environmental heterogeneity and work at ever smaller and more homogeneous plots, enhancing the precision of their experiments at the cost of their generality. McGowan (1995) reviews long-term studies of marine populations where large-scale, interannual and interdecadal changes in abundance account for most of the variability in these communities. Bascompte and Sole (1995) review the chaotic behavior of many temporal population models as influenced by the stabilizing effect of spatial heterogeneity. However, ecological research seems to focus on oscillations and extinctions of small local populations, without making explicit reference to the larger scales in space and time often populations behave very differently at these larger scales. Very few marine situations are relevant to the type of metapopulation dynamics reviewed by Bascompte and Sole (1995), because local extinctions of patches of individuals are very small scale and clearly do not constitute populations in the normal sense. Certainly there are local differences in survivorship, but, in fact, most population interactions do not result in extinctions of metapopulations, although they may still have important influence on various demographic factors such as age-specific rates of growth and reproduction.

Competition. - Some of the earliest ecological theory was built on a clear understanding of the importance of both inter- and intraspecific competition as well as predation (Gause 1934). The effects of inter- and intraspecific competition are important to community and evolutionary theory, even if they occur in a density-vague manner (sensu Strong 1986). Studies of canopy competition are common in kelp forest research (and include some of the earliest, such as Hatton [1932], Kitching et al. [1934], Kitching [1941]). Much of this research has been reviewed by Dayton (1985), Schiel and Foster (1986), Chapman (1986b), and DeWreede and Klinger (1988). Despite this long-standing interest, uncertainty exists about density effects on algal productivity, and this is particularly true across depth gradients (Brawley and Adey 1981, Schiel and Choat 1981, Cousins and Hutchins 1983, Schiel 1985). Different interpretations may result from confounding differences in plant architecture or habitat structure or depth. Santelices (1990) reviews studies of intra- and interspecific effects on reproduction and recruitment.

Disturbance. - Most reviews of disturbance have emphasized the importance of the intensity and scales of the perturbation. Kelp forests are exposed to a large array of disturbances, from small to large scales, that usually results in patchiness (Dayton et al. 1984, 1992). Such patchy structure can be removed by sea urchin grazing (Harrold and Pearse 1987). Kelp forest communities are also influenced by much larger scale physical processes that, in our case, involve the entire Southern California Bight and the much larger California Current system. Oceanic and atmospheric processes in the Pacific cause large-scale, low-frequency changes leading to important interannual variability, such as El Ninos and La Ninas. These and smaller mesoscale (1-100s of km) oceanic anomalies are responsible for many episodic events that have long-term implications (Tegner and Dayton 1987, Dayton and Tegner 1990, Dayton et al. 1992). The persistence of such postdisturbance states in kelp forests vary. Some Alaskan urchin barrens appear persistent so long as sea otters are rare or absent (Simenstad et al. 1978, Duggins et al. 1989), while extensive Nova Scotia urchin barrens were stable for a decade until disease killed the urchins (see reviews in Chapman and Johnson 1990, Elner and Vadas 1990, Vadas and Steneck 1995). Other kelp habitats in the Gulf of Maine depend upon a bivalve substrate that is vulnerable to various types of disturbances (Witman 1987). The 1957-1959 El Nino in southern California was associated with sea urchin barrens that recovered quickly, without management, in nonpolluted areas (R. McPeak and W. J. North, personal communication), while recovery varied from a few years at Point Loma to a score of years in Los Angeles County (Wilson et al. 1977). Two very unusual and massive large-scale storm disturbances (associated with the most intense El Nino in a century and an apparent 200-yr storm Seymour et al. 1989) impacted the Point Loma kelp forest in the 1980s one effect was increased canopy destruction, but much of the structure of the community recovered quickly (Dayton et al. 1992). Tegner et al. (1997) considered the important secondary effects of large disturbances followed by different oceanographic climate events and found striking differences in succession driven by the density and condition of the Macrocystis canopy and its competitive effects on understory populations.

Prioritizing environmental variables

Which environmental factors define patterns of distribution and abundance of kelps across a gradient? We used Hutchinson's (1957) niche theory to prioritize the importance of potential explanatory variables over different spatial and temporal scales. Physical factors affecting plants include temperature, nutrients, light quality and quantity, wave exposure, and sediments. Such factors potentially determine patterns of recruitment, survivorship, growth, and reproduction as such they define the "fundamental niches" (sensu Hutchinson 1957) of the species. Within the context of actual kelp communities, fundamental niches may be importantly modified by biological processes, especially intra- and interspecific competition and disturbances including grazing, abrasion by plants, or other interactions that impose restrictions beyond those of the physiological limits (Dayton 1975a). There are also many indirect negative interactions such as canopy reduction of nutrients and modification of flow regimes (Jackson 1977, Jackson and Winant 1983, Eckman et al. 1989), and there probably are indirect positive effects as well (e.g., Witman 1987, Bertness and Callaway 1994). Hutchinson termed these distribution patterns "realized niches." Yet, as with most actual communities, patterns in kelp forests are patchy in space and variable in time. We attempt to compare these heterogeneities to the general importance of biological processes. To do this, we evaluated aspects of fundamental and realized niches of the dominant kelp species as they are influenced by the two most important environmental factors: water depth and density of the canopy forming plants. In this system, the role of depth encompasses gradients in light, wave energy, and temperature (a surrogate for nutrient availability).

Our identification of critical variables is based on earlier studies of temporal and spatial patterns of disturbance and recovery (Dayton et al. 1992), evidence for the effects of a long-term oceanographic regime shift (Tegner et al. 1996), direct and indirect effects of gradients of wave exposure on competitive and successional patterns (Dayton et al. 1984), and ecologically important shifts in competitive relationships during different oceanographic climate conditions (Tegner et al. 1997). Here we report on controlled experiments evaluating the relative effects of Macrocystis pyrifera canopy on the density, growth, and reproduction of Pterygophora californica, Eisenia arborea, and Laminaria farlowii. For Macrocystis and Pterygophora we also evaluated the effects of manipulating intraspecific density. We attempted to control for or measure other variables: temperature, light, grazing, and, by choice of sites, substrata differences. Recent experiments are put in context of work done in the 1970s and 1980s, and we report new data on density, growth, and reproductive processes during two very different oceanographic climate events (Hayward et al. 1994, 1995): a nutrient-rich La Nina event (Kerr 1988) in 1988-1989 and nutrient-stressed El Nino conditions in 1992-1994. Clearly this program is similar to benthic programs, especially diving ones, that often lack adequate data for sophisticated analysis (Legendre et al. 1997, Schneider et al. 1997), but we have studied sufficient scales in space to evaluate commonly accepted generalizations of canopy effects in this one kelp forest, and this may be the only such study repeated through sufficient time to assess differences in interannual oceanographic variability.

SITE AND SPECIES DESCRIPTIONS

This paper is based on work done in the Point Loma kelp forest off San Diego, California, USA. Research from the mid-1950s by W. J. North and M. Neushul, and our own work starting in 1970, are summarized in Tegner et al. (1996, 1997). The kelp forest is [approximately]8-10 km long x [approximately]-1 km wide. It is one of the largest giant kelp forests in the world, and it has marked cross- and long-shore gradients. We have maintained long-term study sites in different areas of the kelp forest since 1971 (Dayton et al. 1992), with the intention of integrating gradients in important environmental factors such as depth, light, nutrients, wave energy, flow, planktonic propagules, and epifaunal animals. In January 1988, an extremely violent storm struck San Diego and produced extraordinary biological and physical damage at Point Loma (Dayton et al. 1989, Seymour 1989, Seymour et al. 1989).

Kelp forests are composed of canopy types that can be categorized into guilds distinguished by morphological adaptations (Dayton 1985). In southern California, these include the following features: (1) a floating canopy (Macrocystis), (2) an erect understory in which the fronds are supported by stipes (Pterygophora californica and Eisenia aborea), (3) a prostrate canopy lying on the substratum (Laminaria farlowii), (4) a turf composed of many species of foliose and articulated coralline algae, and (5) a pavement of encrusting algae.

Kelps occur from the intertidal zone to depths [much greater than]25 m, and species composition changes along this gradient (see Dayton et al. 1992). Competitive relationships among kelps at Point Loma are well described (Dayton et al. 1984, 1992, Tegner et al. 1997). The dominant kelp, Macrocystis pyrifera, which provides most of the structure and primary productivity, ranges in depth 525 m. Pterygophora californica is most abundant in waters [less than] 15 m (Dayton et al. 1992). Laminaria farlowii is also a common and important understory species in southern California it has an extremely wide depth distribution occurring from the intertidal to 120 m (Lissner and Dorsey 1986). Eisenia arborea offers another interesting pattern, in that it is found on rocky outcrops as deep as 40 m, yet it occurs all the way into the intertidal at Point Loma. Previous work (Dayton et al. 1984) has shown a competitive hierarchy of Macrocystis [greater than] Pterygophora [greater than] Laminaria and the other understory algae including red foliose and coralline algae, with an inverse hierarchy of susceptibility to wave stress. Macrocystis is subjected to sustainable harvest that has no measurable negative impacts on kelp population parameters. We have no evidence that the kelp populations at this location, their interactions, and their responses to the oceanographic patterns generally are much affected by anthropogenic influences.

Nutrient distributions in southern California are strongly affected by density stratification and occasionally by uptake and release by phytoplankton. As temperature is the dominant factor controlling sea water density in this region, there is a clear relationship between temperature and nutrient concentrations, and the processes that affect density and temperature, such as shoaling of isotherms near the coast, wind-driven upwelling or downwelling, and internal waves, also affect nutrient distributions (Eppley et al. 1979, Jackson 1983). A strong negative correlation between temperature and nitrate, the nutrient most likely to limit kelp growth (North et al. 1982), has been established for the southern California Bight there are negligible amounts of nitrate for temperatures [greater than]15 [degrees] C (Jackson 1977, 1983, Gerard 1982, Zimmerman and Kremer 1984). Fig. 1 illustrates a 10-yr temperature vs. nitrate relationship from the California Cooperative Oceanic Fisheries Investigations (CalCOFI) station nearest to the Point Loma kelp forest. The same relationship for the Point Loma kelp forest (Jackson 1977) shows a similar slope and intercept but more variation, which probably relates to the influence of the bottom and the far higher abundance of animals than in open water. The relationship tends to be temporally stable, although there is some noise that may be related to the advection of different water parcels (Zimmerman and Kremer 1984), or to the use by phytoplankton, which leads to lower nitrate concentration coupled with high oxygen and chlorophyll with little temperature change (Hayward and Mantyla 1990). Zimmerman and Robertson (1985) found a slight but significant variation at Santa Catalina Island in the temperature vs. nitrate relationship between non-El Nino conditions (1981) and a strong El Nino year the intercept shifted slightly but the slope of the relationship was not changed. We compared the temperature at which regression lines indicated zero nitrate and found slight shifts as well: for the 1986-1996 period, the value was 14.3 [degrees] C for the 1988-1989 La Nina period, the value was 14.2 [degrees] C and for the 1992-1994 El Nino period, the value was 14.5 [degrees] C. Schroeter et al. (1995) present evidence that the higher nutrient concentrations within a few centimeters of the bottom, presumably from regeneration in the sediments or animal excretion, aided the growth of blade stage Macrocystis in 1983. As multifrond juvenile kelps ([greater than] 1 m) grew slowly and were experimentally shown to be nutrient limited (Dean and Jacobsen 1986), they concluded that temperature is a useful proxy for nutrient concentrations in the water column, but not for benthos.

Average in situ water temperatures at Point Loma decrease significantly with depth in the cross-shore direction, with 12-, 15-, and 18-m depths all significantly different from one another (Dayton et al. 1992). Seasonally, bottom and surface temperatures follow different patterns, with the coldest bottom water in the spring/early summer, followed by rising temperatures in the late summer/fall, and an isothermal water column in the winter. Both surface and bottom temperatures are strongly correlated with sea level, and [greater than]75% of the variance in sea level in the southern California Bight is accounted for by equatorial forcing by El Nino-Southern Oscillation (ENSO) events (see Tegner et al. 1996). Interannual variability in recent years has been dominated by the 1982-1984 El Nino, considered to be the strongest observed to that time, the 19881989 La Nina, a cold-water ENSO event, and strong but intermittent El Nino conditions during 1992-1993. Using a 31-yr database for kelp harvest, Tegner et al. (1996) found that the best predictor of annual kelp harvest among several physical variables was average surface temperature. This correlation results from the fact that most of the biomass and most of the production of giant kelp is in the surface canopy this high proportion of Macrocystis above the thermocline probably overwhelms the capacity for upward nutrient transport.

Light patterns in the Point Loma kelp forest vary considerably with depth, runoff, wave surge, plankton populations, other dissolved or particulate material in the water, shading by attached organisms, and surface light level. In the absence of .other factors, such as grazing or unsuitable habitat, the lower depth limit of the kelp forest is apparently set by light (reviewed by Foster and Schiel 1985). Lunning (1981) suggested that this limit occurs at [approximately] 1% of surface irradiance for most kelps. Light is attenuated logarithmically with depth the extinction coefficient varies inversely with turbidity. Both Macrocystis and Pterygophora canopies can reduce benthic irradiance levels by 90%, relative to kelp-free areas at the same depth (Reed and Foster 1984).

Some of the worst water conditions we have seen in [greater than]25 yr of work at Point Loma occurred in winter 1993, which was characterized by 190% of the average (1939-1992) number of rainy days, vs. 45% for 1988. Muddy runoff resulted in extremely poor water visibility. The visibility. cleared somewhat during spring, but there was a thick plankton bloom over the entire region. Our observations of massive plankton blooms in the kelp forest were associated with measurements of low light availability on the bottom and low kelp recruitment during this period. This extended period of low light may have been responsible for the very poor kelp recruitment during this time, relative to 1988. However, there were no major wave events during this period, so large-scale spore dispersal was likely to be limited (Dayton et al. 1984, Reed et al. 1988). Heavy suppression of the understory by the strong Macrocystis canopy during the La Nina may also have contributed to the low understory kelp recruitment observed in 1993 (Tegner et al. 1997).

Monitoring important physical variables

Temperature. - We have continuously measured bottom temperatures, at our study sites of 8, 12, 15, 18, and 21 m, using Ryan TempMentors (Ryan Instruments, Redmond, Washington, USA) and StowAway data loggers (Onset Instruments, Pocasset, Massachusetts, USA). Monthly temperature means were calculated using 8 values/d. Sea surface temperature data are from the Scripps Institution of Oceanography (SIO) pier, 17 km north of the study sites. A diving quarantine during the 1992 sewage spill and equipment failures caused several gaps in the data. Previously published temperature data (Dayton et al. 1992, Tegner et al. 1996) are updated for reference [ILLUSTRATION FOR FIGURE 2A OMITTED].

Irradiance. - During December 1989-December 1991, six Li-Cor Quantum sensors (LI-192SB) with Micro-Powered underwater data loggers (model UDL 250-3, ECOSystems Management Associates, Encinitas, California, USA) were deployed [approximately]22 d each month in the high and low density Macrocystis treatments at 8, 15, and 21 m. Irradiance at the bottom was integrated over 15 min periods and stored in erasable programmable read-only memory (EPROM) units total daily levels were calculated from these values. While accurate, these instruments proved unreliable and the data sets were incomplete [ILLUSTRATION FOR FIGURE 3 OMITTED]. Irradiance data were collected again with the same instruments in March and April 1993 in the Macrocystis exclusion treatments at the 8- and 15-m sites [ILLUSTRATION FOR FIGURE 4 OMITTED].

Permanent transects. - In 1971 we established non-replicated transects at 12-, 15-, and 18-m depths in the central region of the Point Loma kelp forest, and these were replaced in 1983 with replicates at each site. At each site, four parallel 25-m lead lines were installed in an onshore-offshore direction, with the lines spaced 5-7 m apart. The plants were mapped (on a grid basis see Dayton et al. 1984) quarterly within 2 m of each side of each line (400 [m.sup.2]/site). All Macrocystis with [greater than or equal to]4 stipes were mapped, as were the understory species when possible. We also usually estimated percent cover of Laminaria and turf algae on a quarterly basis (Dayton et al. 1992, Tegner et al. 1996, 1997).

1988 clearings. - In winter 1988, immediately following the storm, we initiated an experiment to determine the effects of kelp density (inter- and intraspecific) on competitive relationships. To evaluate effects across a depth gradient, experiments were established at 8, 15, and 21 m in a cross-shore transect in the central region of the Point Loma kelp forest. At each depth, all nonencrusting macroalgae and urchins were cleared from one 30 x 30 m area. To avoid edge effects, the experiments were conducted within the central 20 x 20 m. Lead lines marked the boundaries of the squares. To evaluate effects of different densities of Macrocystis, we manipulated them such that half (20 x 10 m) had a naturally recruited ambient density and the other half of the clearing had the Macrocystis density reduced to one-third (low density) of natural density. Kelp density data were collected until spring 1991. Algal populations in the clearings were assessed quarterly. All kelps were counted and percent cover of turf algae estimated within 2 m of the three permanent lines crossing the treatments of each clearing.

1993 clearings. - In winter 1993, we again cleared the same (1988) areas of all macroalgae and sea urchins, but also made several modifications to the 1988 design. First, an additional treatment was added to examine growth and competition of understory kelp species in the absence of Macrocystis. The clearings were expanded and now measured 30 x 20 m one-third of each clearing (10 x 20 m) had one of the following treatments: (1) a naturally recruited density of Macrocystis (high density), (2) a density of Macrocystis one-third of naturally recruited density (low density), and (3) complete removal of Macrocystis (no Macrocystis). To eliminate edge effects, a 10-m buffer zone around the entire clearing was maintained free of Macrocystis. To examine recruitment and competition among species of kelps at the extreme depth range of Macrocystis, an additional 30 x 20 m clearing was made at 23 m, where Macrocystis naturally occurs in relatively low density. To examine spatial variability on a small scale, an additional 30 x 20 m clearing was made at each depth, with distances between the two clearings ranging from 30-50 m, with the exact location chosen to match substrates and natural kelp populations of the preexisting clearings. In winter 1995, a powerful storm with a maximum significant wave high of 5 m (Coastal Data Information Project, SIO) greatly reduced the number of Macrocystis at our study sites, leading to the decision to terminate the study.

To study intra- and interspecific effects on growth and reproduction in the different treatments, we tagged individual Macrocystis, Pterygophora, Eisenia, and Laminaria plants. The giant kelps were tagged with plastic-coated wire that was looped around haptera, and the tags were replaced as they were overgrown stipitate plants were tagged with Floy spaghetti tags tied on the stipes. In 1988, 20 Macrocystis were tagged in each treatment at 8 and 15 m, but only 10 were tagged in each treatment at 21 m, because of low recruitment. Twenty Pterygophora were tagged in each treatment at 8 and 15 m, but there was no recruitment at 21 m. Fifteen Laminaria were tagged in each treatment at 8, 15, and 21 m. In late 1990, there was recruitment of Eisenia in the low Macrocystis treatments at 8 and 15 m seven Eisenia were tagged at 15 m, and six were tagged at 8 m.

In 1993, Macrocystis, Pterygophora, and Laminaria recruited in both clearings at 8 and 15 m Pterygophora and Laminaria recruited only in one clearing each at 21 m and Laminaria also recruited in one clearing at 23 m. There was also much spatial variability in the recruitment of Macrocystis in deeper water recruitment occurred in only one clearing at each of the 21- and 23-m sites. Even though Macrocystis recruited in only one clearing at 23 m, 12 Eisenia were tagged and monitored in the clearing with no Macrocystis to obtain more life history data for this species.

Macrocystis growth and reproduction. - To measure growth, we recorded the number of stipes per plant at a height of 1 m above the substratum, and holdfast volume was calculated from in situ measurements of height and two basal diameters, assuming the shape to be an elliptical cone (Ghelardi 1971). The volume of the bundle of sporophyll blades at the base of each plant was determined, assuming a cylinder from in situ measurements of height and diameter of the bundle. This is an indirect measure of reproductive effort, but Reed (1987) has shown that sporophyll biomass is closely related to zoospore production. We ranked the reproductive state for each plant on the following scale:

1) Sporophylls present but no sorus development.

2) Sporophylls with sori only at the base of sporophylls.

3) Sporophylls with sori over most of the sporophylls surface.

4) Sporophylls with sori over all of the sporophylls surface.

5) Sporophylls with sori over all of the sporophylls surface releasing zoospores.

Growth and reproduction of understory kelps. - Pterygophora and Laminaria in the clearings were individually tagged at the same time as Macrocystis. Eisenia recruited and were tagged later. Growth of Pterygophora was determined by the method of DeWreede (1984). A 6-mm hole was punched in the midrib of the terminal blade 30 mm from the base of the blade, and every 3 mo another hole was punched at the same location the distance between the two holes was the linear growth of the blade. Reproductive effort for Pterygophora was evaluated by counting the number of sporophyll blades and sori per plant. Eisenia growth was evaluated by measuring stipe length, and reproductive capacity was evaluated by the number of sporophyll blades and sori. Growth of Laminaria was determined in a similar manner to Pterygophora. A 10-mm hole was punched 85 mm from the base of the blade and repunched in the same place every 3 mo the distance between the two holes was the linear growth of the blade. Reproductive potential of Laminaria was evaluated as the percent of each blade covered by sori.

Reproduction of control kelps

To compare the reproductive output of understory species in our clearings with unmanipulated populations at 8, 15, and 21 m, each month from fall 1989-December 1991, we collected 25 Pterygophora and Laminaria from just outside our clearings. Plants were sampled haphazardly from areas with moderate Macrocystis densities. We recorded the number of Pterygophora sporophyll blades and sporophyll blades with sori, as well as the wet weight of the soral tissue and the wet weight of all sporophyll tissue. We also estimated the percent of Laminaria blades covered by soral tissue and calculated a reproductive index from the wet weight of the soral tissue divided by the total wet weight of the blade.

Pterygophora. - To further assess the effects of inter- and intraspecific competition on growth and reproduction, we manipulated Pterygophora densities on modules. Recruits from margins of the 15-m clearing were attached to 30 X 30 cm polystyrene cube louver light diffusers (our modules). Individual Pterygophora hold-fasts were threaded into three strand nylon lines that were attached to the modules with cable ties. These modules were cable-tied to spikes on the bottom, in the 8-, 15-, and 21-m sites. This allowed the modules to be brought to the boat for measurements of growth and reproduction, and then returned to their exact location. Ten modules with five plants and 10 modules with 25 plants were installed in each clearing. Five replicates of each Pterygophora density were installed in the high- and low-Macrocystis density treatments at each depth in 1989.

Eisenia. - In August 1989, 72 unbifurcated Eisenia were collected at the 15-m site and attached to 18 modules, each with four Eisenia. Thirteen Eisenia of the same age class and size were tagged and left attached to the natural substratum as controls. The modules were attached to stakes, in each half of each clearing, at 8, 15, and 21 m, with three replicates per treatment at each depth. Stipe length and bifurcation, and reproductive status were recorded quarterly over the next 2 yr.

We utilized generalized linear modeling (GzLM McCullagh and Nedler 1989), as contained in SAS/Insight (1993), to determine the relative importance of various biological factors influencing kelp survivorship, abundance, growth, and reproduction. This method of analysis increases the flexibility and generality of the evaluation of data, particularly where nonnormal errors occur (Schneider 1994). Since many kinds of ecological data have nonnormal distribution of errors, GzLM is very useful by allowing specification of a variety of different error distributions: Poisson, binomial, and gamma distributions. The decision to use a particular model was made in an attempt to minimize error deviance and thus increase the "goodness of fit." Inspection of the error distribution of various data sets indicated a multiplicative increase of the error variance with the mean, so a gamma model with a log-link function was chosen for most analyses (Crawley 1993, Schneider 1994). We were interested in the response to treatment of each individual tagged plant, and this is the focus of the analysis. Separate analyses were performed on data from the two clearing experiments (initial years 1988 and 1993) at each depth. Data from same-depth clearings in the 1993 experiment were also analyzed separately to examine small spatial scale differences. Each model was made up of growth, reproduction, density, or survivorship data as the response variable and Macrocystis stipe density as the independent variable. To examine the relative importance of inter- and intraspecific competition of the understory, Pterygophora density was also used as an independent variable, when appropriate.

We derived the most parsimonious model, following Occam's Razor, by using backwards selection (Crawley 1993) with an exit level of [Alpha] [less than] 0.10. That is, we ran each model for analyses including both Macrocystis stipe density and Pterygophora density. Upon inspection of the level of significance (P) for each variable, the least significant variable was discarded and the resulting deviance checked. If the change in deviance was nonsignificant, then the term was permanently dropped from the model. In the tables, we present the P values, degrees of freedom, and the regression coefficients, to enable the reader to evaluate the relationships. Discarded variables are presented in the tables as nonsignificant (NS) with no regression coefficient.

It is important to note that the clearing experiments represent experimental treatments of high (ambient), low (one-third ambient), and zero Macrocystis plant densities across the depth gradient. The treatments were maintained by continually manipulating Macrocystis densities, and the results are presented in those terms. Due to the life history characteristics of this kelp, however, it appears that stipe density is the more sensitive indicator of the competitive effects of Macrocystis (Tegner et al. 1996, 1997). Generally, there is an inverse relationship between Macrocystis plant density and the average number of stipes per plant (North 1994). As a cohort undergoes self-thinning, stipe density remains relatively constant and appears to be a good indicator of environmental carrying capacity (Dayton et al. 1992, Tegner et al. 1996). While it was not practical to manipulate stipe density in these experiments, the data were collected, and we used this more appropriate variable in the actual statistical analyses. That is, the data presented in the tables utilize the more appropriate stipe density as an independent variable.

Different response variables had to be analyzed in different ways:

1) To compare response variables in both experiments (1988 vs. 1993) at comparable life history stages, a point in time near the termination of the shorter 1993 experiment (10 mo) was chosen for data to be analyzed along with the corresponding 10-mo time span in the 1988 experiment. To determine whether patterns apparent at this time persisted, data were again analyzed at the 25-mo point in the longer running 1988 experiment. Macrocystis stipes per plant, holdfast size, sporophyll condition, and algal densities were all analyzed in this manner.

2) Kelp survivorship was analyzed in terms of the number of weeks that individual tagged plants lived.

3) Pterygophora and Laminaria growth and reproduction data collected at the peak of the first growth and reproductive cycles were used because of strong seasonality of these variables.

4) Unfortunately, Pterygophora modules in one treatment at 8 m disappeared after 7 mo. The number of sporophyll blades per plant was analyzed at this last time point so that all treatments could be compared trends were clearly apparent at this time.

We realize that comparison-wise error may increase when a large number of statistical tests are performed. Corrections of the [Alpha] level reduce the probability of making a Type I error (i.e., accepting the existence of an effect that is not real), but also they increase the chance of making a Type II error (i.e., rejecting the existence of a real interaction). We consider the latter Type II error a more important risk. The experiments and comparisons reported here were logistically difficult and fraught with countless real world problems, common to diving research, that encompass important scales in space and time. That is, such a high energy and extremely variable coastal habitat imposes a great deal of natural variation into such experiments. Considering the amount of noise in the system, we adopted probabilities of P = 0.10 as sufficient evidence to imply a meaningful relationship. Most values were much more significant, and we simply present the uncorrected probabilities and the degrees of freedom, and allow readers to decide where they wish to be conservative. This approach of considering the weight of evidence, rather than testing point hypotheses, is in line with current thinking (McCullagh and Nelder, 1989, Brown 1995, McArdle 1996, Hilborn and Mangel 1997).

Data collected through the course of these experiments, which are presented as summary statistics in the tables, are also graphically presented in the Appendix, so that readers can evaluate depth-specific patterns of response and variation. Again, the actual experiments were analyzed with Macrocystis stipe densities as the treatment variable, rather than plant densities. Plant densities, however, are presented in the figures and were what we actually manipulated.

The study period (1988-1995) was marked by strongly varying temperature regimes [ILLUSTRATION FOR FIGURE 2 OMITTED]. During the 1988-1989 La Nina event, bottom temperatures were predominantly [less than]14 [degrees] C, the isotherm indicating water with adequate nutrients, and were above the 16 [degrees] C threshold for nitrate detection for a negligible period of time. Strong but intermittent El Nino conditions persisted during 1992 and 1993 (Hayward 1993, Hayward et al. 1994), and bottom temperatures were [greater than] 16 [degrees] C for much of these years [ILLUSTRATION FOR FIGURE 2B OMITTED]. Stratification of the water column is reduced during strong El Nino events as the 14 [degrees]C isotherm is depressed below kelp forest depths (Tegner and Dayton 1987). During 1994, circulation returned to non-El Nino conditions, but sea surface and bottom temperatures were again anomalously warm during most of the year, as well as in the first quarter of 1995 (Hayward et al. 1995). While surface temperatures in 1992-1994 reached levels comparable with the 1982-1984 El Nino, the strong spring upwelling observed during 1991, 1992 (Tegner et al. 1995), 1993, and 1994 sharply contrasts recent temperature regimes with the massive earlier El Nino. For purposes of brevity, we will call the 1988-1992 experiments the La Nina set, and the 1993-1995 experiments the El Nino set.

To better understand physical gradients, these experiments were conducted at shallower and deeper sites than our previously published temperature data (Dayton et al. 1992, Tegner et al. 1996). The temperature records from 8 and 21 m generally follow the same seasonal patterns as 12, 15, and 18 m differences among sites are maximal in the spring and summer, decrease during the fall, and virtually disappear during winter [ILLUSTRATION FOR FIGURE 2 OMITTED]. The pattern of significantly cooler temperatures with increasing depth holds for these additional sites as well 8 m is significantly warmer than 12 m (paired t test, P [less than] 0.005), although temperatures from the two sites are highly correlated (simple linear regression, [R.sup.2] = 0.7). Despite its shallow depth, the temperature pattern at 8 m is closer to that of the rest of the kelp forest than the sea surface, from which it is also significantly different (P [less than] 0.005, [R.sup.2] = 0.5). This is supported by higher frequency observations (samples every 10 min) of surface and bottom temperatures at the 8-m site, which show much larger amplitude tidal variations on the bottom than on the surface (unpublished data). Similarly, 21 and 23 m (for which we do not have overlapping data) are both significantly colder than 18 m (P = 0.001, [r.sup.2] = 0.93 P [less than] 0.001, [r.sup.2] = 0.95, respectively).

Finally, we evaluated the actual effect of high- and low-Macrocystis densities on irradiance levels by assuming the relative irradiance at the maximum recording station, "8 m low," as 1.00 and calculating monthly ratios of 8 m low density to the other irradiance stations. These monthly ratios were averaged between December 1989 and August 1991. The mean values were: 8 m low = 1.00 8 m high = 0.35 15 m low = 0.22 15 m high = 0.10 and 21 m low = 0.04. These data [ILLUSTRATION FOR FIGURE 3 OMITTED] show the substantial differences with both depth and experimental thinning of giant kelp density.

Kelp recruitment: background patterns of populations of Macrocystis, Pterygophora, and Laminaria

Macrocystis recruitment events of 1988-1989 and 1993-1994 on the permanent transects differed in magnitude (Tegner et al. 1996, 1997), and these distinctions were also seen in the patterns of plant and stipe densities in our experimental clearings [ILLUSTRATION FOR FIGURES 5 and 6 OMITTED]. The contrasts probably reflect the divergent storm patterns (e.g., Reed et al. 1988) during these periods, as well as reflecting the strong Macrocystis canopy suppression of the understory during the La Nina and poor water visibility in spring 1993. During spring-early summer 1988, water temperatures were cool. Also, because of the massive storm, the canopy was negligible and there was much more light than in 1993. This resulted in heavy 1988 recruitment of all kelps along the transects at 18-, 15-, and 12-m depths (Tegner et al. 1996, 1997). Bottom temperatures in 1993 were [approximately] 1[degree] C higher than those in 1988 [ILLUSTRATION FOR FIGURE 2 OMITTED], and Macrocystis recruitment was much slower and less intense, in contrast with the massive event in 1988.

Tegner et al. (1996, 1997) demonstrated that differences in Macrocystis stipe densities between the 1988 and 1993 cohorts apparently had strong effects on the success and distribution of understory species, and this related to the importance of oceanographic climate events on Macrocystis stipe density and canopy cover, with subsequent cascading effects on the abundance of the understory. Density and reproductive condition of the two most important understory species, Pterygophora and Laminaria, are offered in Figs. 7-9. Here we extend these data with actual experiments designed to identify thresholds. The reference data for Pterygophora reproduction [ILLUSTRATION FOR FIGURE 8 OMITTED] show a winter peak for both percentage of plants with soral tissue and reproductive index (McPeak 1981), with a much higher proportion being reproductive in shallower depths. While there is more noise, much the same pattern was observed for Laminaria [ILLUSTRATION FOR FIGURE 9 OMITTED]. However, again note that La Nina stimulation of the Macrocystis canopy (Tegner et al. 1996, 1997) may be responsible for much lower reproductive indices before late 1990.

Canopy-thinning and clearance experiments: I. Macrocystis on Macrocystis

Plant and stipe density. - The Macrocystis manipulation involved the removal of all nonencrusting macroalgae, allowing natural recruitment. The density of giant kelp then was manipulated and new recruits thereafter were removed. Relative experimental densities were maintained after quarterly assessments of 120 [m.sup.2]/treatment. The differences between the La Nina and El Nino experiments were dramatic, as Macrocystis densities varied over an order of magnitude, and there were strong depth-related density differences in both cohorts [ILLUSTRATION FOR FIGURE 5 OMITTED].

We were able to manipulate the density of giant kelp plants, but stipe density most closely reflects the amount of light interference that Macrocystis exerts on the understory. While not directly manipulated, stipe densities were quantified [ILLUSTRATION FOR FIGURE 6 OMITTED], and the densities following the initial clearings in 1988 dropped from levels of 310/[m.sup.2] at 8 m, 200/[m.sup.2] at 15 m, and 50-100/[m.sup.2] at 21 m to relatively low levels that then remained rather steady for the following 2 yr. However, instead of a steep decline from initial densities in 1993, the pattern was one of an increase in stipe density at all depths for the first year. In fact, there was no Macrocystis recruitment at 21 m until January 1994, 10 mo after that clearing was completed. Recruitment at one of the two clearings was sparse, and the small sporophytes were completely grazed away, as a front of sea urchins moved through. At 23 m, recruitment was not evident until June 1994, 14 mo after that clearing was initiated, and then in only one of the two clearings. Because Macrocystis recruits were removed after initial densities were established in the experimental areas, the effect of stipe density on Macrocystis recruitment could not be evaluated.

Survivorship. - The effect of Macrocystis intraspecific competition should be evident as survivorship at three depths in low- and high-density treatments during the poststorm 1988-1989 La Nina and 1992-1994 El Nino conditions. In the 1988-1989 experiment, low density treatments tended to have higher survivorship, but there was no significant intraspecific difference between the treatments (Table 1 [ILLUSTRATION FOR FIGURE A1 OMITTED] in the Appendix). In the 1993 experiment there were consistent effects of depth on survivorship, with the shallow 8-m plants suffering high initial mortality (probably reflecting the relatively high initial density) the 15-m plants had intermediate mortality, and the deep 21- and 23-m plants had relatively low recruitment and high survivorship. However, only one of the shallow 8-m clearings had a significant negative intraspecific effect the other showed no difference between treatments. This lack of significance probably relates to small-scale (10-100 [m.sup.2]) patchiness in recruitment.

Growth. - The number of stipes on each Macrocystis plant 1 m above the substratum showed similar trends in both experiments, although the La Nina conditions seemed to support more stipes overall and had greater variation between depths and densities ([ILLUSTRATION FOR FIGURE A2 OMITTED] in the Appendix). With regard to the intraspecific effects of stipe density on number of new stipes per plant in 1988, after 10 mo there were very strong negative relationships at 8 and 15 m, and an important relationship at 21 m (Table 2) this pattern of significant differences at 8 and 15 m continued to 25 mo. Again, in contrast to the La Nina, there was no hint of an intraspecific effect of stipe density on stipes per plant in the El Nino experiment (Table 2).

Macrocystis holdfasts ([ILLUSTRATION FOR FIGURE A3 OMITTED] in the Appendix) obtained larger size at all depths and again had greater variation among depths during the La Nina. Clearly higher nutrients enhanced growth of both the canopy and the holdfasts. Because holdfast size probably integrates more physiological factors involved with the health of the plant, this may be a more conservative measure of environmental conditions than stipe numbers. During the nutrient-rich La Nina, there were very strong treatment effects, with Macrocystis stipe density negatively affecting holdfast size (Table 2) after 10 and 25 mo. This negative relationship persisted, but was much less significant during the El Nino at the 8 m south site there was a positive relationship, but not at 8 m north. Both 15-m sites were significant. The 21 m north site did not have a significant relationship, and the 23 m north site had a negative relationship. Thus, again, the strong interactions were associated with nutrient-rich conditions of La Nina, and this pattern broke down during the 1993 El Nino, which even had positive relationships.

Reproduction. - Growth of sporophylls represents an important evolutionary adaptation to disturbance and environmental change. Reed et al. (1996) discussed the relationship between reproductive responses and resources, and Reed (1987) reported a strong relationship between biomass and zoospore production because our treatments induced differences in growth, we hypothesized that there should also be differences in reproduction. Two reproductive indicators were evaluated: (1) sporophyll bundle volume ([ILLUSTRATION FOR FIGURE A4 OMITTED] in the Appendix), and (2) sporophyll condition ([ILLUSTRATION FOR FIGURE A5 OMITTED] in the Appendix), assessed on a scale of 0-5, in which 0 = no sporophylls present, and 5 = sporophylls actually releasing zoospores (Table 2).

The volume of sporophyll bundles during the La Nina was larger than the El Nino years ([ILLUSTRATION FOR FIGURE A4 OMITTED] in the Appendix). After 10 and 25 mo, sporophyll bundle size was highly significantly negatively influenced by stipe density during the La Nina (Table 2). However, the only negative relationships between sporophyll bundle size and stipe density during the El Nino were at 15 m, both north and south. This is strong evidence of an interaction between nutrient availability and density dependent reproduction. In fact, in the first experiment, sporophyll bundles at 21 m were larger than those in shallow water. This suggests that the size of the bundles is heavily influenced by nutrients, as this area of the kelp forest consistently had colder, presumably more nutrient-rich waters.

Sporophyll reproductive condition data ([ILLUSTRATION FOR FIGURE A5 OMITTED] in the Appendix) follow similar patterns as those of bundle volume. There were negative density effects among treatments after 10 mo at 8, 15, and 21 m during the La Nina (Table 2). After 25 mo, these effects were largely lost as only 15 m had a negative effect. In the El Nino experiment, there was only one negative effect at the 23 m north site. The appearance of the first sori at the shallower sites was much faster under La Nina conditions than in the El Nino experiment: 1.5 vs. 5.5 mo at 8 m, and 2.5 vs. 6.0 mo at 15 m. Plants at 21 m did not become reproductive until 10-13.5 mo after the experiment started, whereas 21- and 23-m plants became reproductive in 6-9 mo in 1993.

Canopy-thinning and clearance experiments: II. Macrocystis and/or Pterygophora effects on Pterygophora

Density. - Pterygophora responded to major disturbances, such as the 1982-1984 ENSO and the 1988 storm (Dayton et al. 1992), on both the transect lines [ILLUSTRATION FOR FIGURE 7 OMITTED] and in the experimental plots ([ILLUSTRATION FOR FIGURE A6 OMITTED] in the Appendix). The background densities observed along the transect lines showed relatively high shallow water recruitment with densities of 6-7 plants/[m.sup.2], while the deeper sites were [less than] 1 plant/[m.sup.2]. The 1988 storm cleared much of the substratum, vastly reducing the density of all algae, and there was massive Pterygophora recruitment of 100-200 plants/[m.sup.2]. This soon decreased considerably, as the strong La Nina Macrocystis competition took effect (Tegner et al. 1997), and the background densities were very much lower during the 1993 El Nino than during the La Nina conditions of the late 1980s. After 10 mo during the La Nina, Macrocystis had strong negative effects at 8 m and a strong positive effect at 15 m (Table 3). Furthermore, probably because densities were very low, the same sites after 25 mo had negative effects. Densities at 21 m were very low, and there was never an effect at 21 m during the La Nina. For some reason, the 15-m site had stronger recruitment in 1993 than did the 8-m site. While the densities at 21 m during the 1992-1993 El Nino were very much lower than at shallower depths, they began to increase at about the same time that densities decreased at 15 m. In 1993 the densities remained virtually unchanged at 8 and 15 m. There was only one significant effect of Macrocystis stipe density on Pterygophora density at the 8 m south site (Table 3).

Survivorship. - Table 1 summarizes the interspecific effects of Macrocystis density on Pterygophora survivorship ([ILLUSTRATION FOR FIGURE A7 OMITTED] in the Appendix). Pterygophora survivorship was very similar at both depths and treatments in 1988. The 1993 experiment was extremely variable, yet there was a highly significant negative Macrocystis effect on Pterygophora survivorship at 8 m north [TABULAR DATA FOR TABLE 1 OMITTED] all of the rest of the comparisons were insignificant.

Growth. - Terminal blade growth of Pterygophora ([ILLUSTRATION FOR FIGURE A8 OMITTED] in the Appendix) was seasonal and very strongly affected by the Macrocystis density treatment in 1988, at both 8 m and 15 m (Table 3). In 1993 there were negative effects of Macrocystis stipe density at both the 8- and 15-m sites, but not at 21 or 23 m. Clearly Macrocystis can have a very powerful effect on Pterygophora growth, apparently much stronger than the depth effect.

Reproduction. - The number of sporophylls per Pterygophora plant was similar during the La Nina and El Nino periods, except that the deep 21-m plants did not become reproductive in 1993 ([ILLUSTRATION FOR FIGURE A9 OMITTED] in the Appendix). It is interesting to note that the single 8 m low-density plant surviving through 1991 had many more fertile sporophylls than the other plants. During the 1988 La Nina, Macrocystis stipe density negatively impacted Pterygophora sporophyll production at 8 m and 15 m (Table 3). In the 1993 experiment, there were negative effects of Macrocystis stipe density on sporophyll production at all sites. Clearly, Macrocystis has very strong interspecific effects on Pterygophora sporophyll production. There is no evidence that Pterygophora are deciduous at Point Loma, as has been reported for more northerly populations (Reed 1987).

The effects of Macrocystis stipe density on the production of sori on Pterygophora sporophyll blades were highly variable, although the seasonality noted by Reed et al. (1996) was apparent, especially under El Nino conditions ([ILLUSTRATION FOR FIGURE A10 OMITTED] in the Appendix). In 1989, the percentage of sporophyll blades per plant that were reproductive may have been relatively high, but, since monitoring was not performed until late spring, the peak was not recorded. During the second spring, few blades became reproductive. This pattern differed in the 1993-1995 experiment in 1994, the percentage of reproductive blades was relatively low, at 8 and 15 m, compared with soral production during the plants' third spring. The negative effects of Macrocystis stipe density varied from not significant at 8 m south and 15 m north to highly significant at 8 m north and at 15 m south (Table 3). Because Pterygophora recruited in [TABULAR DATA FOR TABLE 2 OMITTED] mid-1994 at 21 m, data are only from 1995. This temporal variation may reflect release from the El Nino and improved temperature/nutrient conditions. Statistical analysis was not performed on the data from the first experiment, because there was no concurrent peak in reproduction of plants from the treatments. Pterygophora in the 1988 experiment required 12-16.5 mo for appearance of the first sori (except 8 m high which never became reproductive), but under El Nino conditions, most sites developed initial sori within 5-11 mo (8 m high required 20 mo).

Intraspecific Pterygophora effects on growth and reproduction. - Reed (1990) attributed intraspecific density dependence in Pterygophora growth and reproduction to competition for light. Probably reflecting the extremely high densities, we also found very strong intraspecific negative effects of Pterygophora density on growth at both 8 and 15 m in 1989 (Table 3). We found, however, very strong intraspecific positive effects of Pterygophora density on growth at 8 m south in 1993 (Table 3). One explanation might be that there was a high Pterygophora density under a low Macrocystis [TABULAR DATA FOR TABLE 3 OMITTED] [TABULAR DATA FOR TABLE 4 OMITTED] canopy. Thus, there might have been release from Macrocystis competition expressed as a positive intraspecific Pterygophora relationship. At 15 m in 1988, we found the expected strong negative intraspecific Pterygophora relationship.

We also analyzed the intraspecific effects of Pterygophora density on Pterygophora sporophyll production (Table 3). During the 1988-1989 La Nina, there were highly significant effects at both 8 and 15 m, but the 8-m site had a positive relationship, whereas the 15-m site had a negative relationship. There were no tagged Pterygophora at 21 m during La Nina. At 8 m north during the 1993 El Nino, however, there was a negative effect of Pterygophora density on sporophyll production, but no other significant intraspecific effects on Pterygophora sporophyll number.

The spatial variability in soral production occurred not only with respect to the Macrocystis effect, but also with the intraspecific Pterygophora effects (Table 3). Soral production was strongly affected by Macrocystis density at 8 m north, but not at 8 m south, which actually had a strong positive Pterygophora density effect. There were no other negative Pterygophora effects. Again, this may be because the Pterygophora density was higher in low Macrocystis treatment, and Pterygophora were, therefore, much more fertile.

Pterygophora module experiments. - In 1989 we tested the effects of Macrocystis and Pterygophora on survivorship, growth, and reproduction of Pterygophora plants that were transplanted on modules ([ILLUSTRATION FOR FIGURE A11 OMITTED] in the Appendix). Three modules in one treatment were lost at 8 m, so testing of survivorship was not possible. There was a strong negative Macrocystis effect on survivorship (Table 4) at 15 m, but not at 21 m. In contrast and perhaps reflecting the lack of a Macrocystis effect at 21 m, there was a strong negative intraspecific Pterygophora effect at 21 m. There was also a strong negative Macrocystis stipe effect on Pterygophora growth ([ILLUSTRATION FOR FIGURE A12 OMITTED] in the Appendix) at all three depths. The intraspecific negative effect of Pterygophora (as manipulated on the modules) on Pterygophora growth was significant only at 8 m. The lack of an intraspecific effect was probably due to the strong effect of Macrocystis.

The two shallow sites, 8 and 15 m, had strong negative Macrocystis effects on Pterygophora sporophyll production ([ILLUSTRATION FOR FIGURE A13 OMITTED] in the Appendix), but not the deeper 21-m site (Table 4). Interestingly, there were strong intraspecific effects of Pterygophora density on sporophyll production at 8 and 15 m. Finally, the mean percent of sporophylls per plant with sori ([ILLUSTRATION FOR FIGURE A14 OMITTED] in the Appendix) was significantly negatively affected by Macrocystis stipe density at 8 and 15 m, but not at 21 m. Again, possibly reflecting release from this strong Macrocystis canopy effect, there were no intraspecific Pterygophora effects at those depths but there was a very strong positive intraspecific effect at 21 m, where there had been no Macrocystis effects (Table 4).

Canopy-thinning and clearance experiments: III. Effects of Macrocystis and/or Pterygophora on Laminaria

Density. - The effects of Macrocystis or Pterygophora overstories on Laminaria were variable ([ILLUSTRATION FOR FIGURE A15 OMITTED] in the Appendix). A recruitment peak at 15 m low density in 1989 was associated with a die-off of Desmarestia, which inhibits kelp recruitment (Dayton et al. 1992). Analyses of the 1988 experiments, after 10 mo (Table 5), show negative effects of Macrocystis stipe density on Laminaria density at 15 m, but not at [TABULAR DATA FOR TABLE 5 OMITTED] 8 or 21 m. It is interesting to note that the 25-mo analysis of the 1988 experiment found a very strong negative Macrocystis impact at the 8-m site that had not demonstrated a Macrocystis or Pterygophora effect after 10 mo. In 1993 during the El Nino, Macrocystis stipe density had a strong negative effect at both 8-m sites. There was no effect at 15 m south, but a strong negative effect at 15 m north. There were no effects at the deeper sites. It appears that Laminaria densities at the shallow sites are impacted more strongly by competition with Macrocystis than in the deeper sites.

In addition to Macrocystis, we analyzed for an effect of Pterygophora density on Laminaria density (Table 5). These correlations were interesting, because some were strongly positive. In 1988, there were no effects at 8 or 15 m, but at 21 m, where there had been no Macrocystis effect, the Pterygophora had a strong positive correlation. In 1993, there was a strong positive Pterygophora effect at 8 m south, but not at 8 m north or the deeper depths.

Survivorship. - In 1988, the Macrocystis effect was so severe at 8 m that no Laminaria survived more than 32 wk ([ILLUSTRATION FOR FIGURE A16 OMITTED] in the Appendix). There was a strong negative impact at 8 and 15 m, but not at 21 m (Table 1). However, the much thinner Macrocystis density during the El Nino in 1993 had no significant effect on Laminaria survivorship, although one of the 15-m clearings showed a strong relationship the differences between the clearings may have reflected a Desmarestia effect (Dayton et al. 1992), although the Desmarestia was gone by September 1993.

Growth. - Data from the 1989 seasonal growth peak of tagged Laminaria ([ILLUSTRATION FOR FIGURE A17 OMITTED] in the Appendix) were used in the analysis (Table 5). There was a very strong negative Macrocystis impact on growth at both 15 and 21 m. Except for 15 m north, in 1993 the negative effects were also important at all three depths.

Interspecific competition with Pterygophora also appeared to affect Laminaria growth rates, at least under certain conditions (Table 5). Interestingly, in some cases, the effects were positive, and, in other cases, they were negative. In the La Nina experiment, there were very strong positive effects of Pterygophora density at both 15-m sites, but an equally strong negative effect at 21 m. In the 1993 El Nino experiment, neither 8-m site had a Pterygophora effect, possibly because the Macrocystis effect had been so strong on both Laminaria and Pterygophora. The 15 m south site had a strong negative Pterygophora effect, but there was no effect at 15 m north. In addition, the 21 m north site had an important negative correlation between Pterygophora and Laminaria densities, but in contrast the deeper 23-m sites had strong positive Pterygophora correlations with Laminaria growth.

Reproduction. - Reproductive effort is highly seasonal, but it also has a great deal of spatial and interannual variability ([ILLUSTRATION FOR FIGURE 8 OMITTED] [ILLUSTRATION FOR FIGURE A18 OMITTED] in the Appendix). Generally, there was an order of magnitude difference in the mean percent soral cover between the two experiments (Table 5), with the reproductive effort in Laminaria much higher in the second (El Nino) experiment. Probably because of the uniformly severe interspecific competition, there were no important depth effects during the La Nina, although the 21-m site showed a strong negative Macrocystis effect. There were some big differences between depths during the El Nino, although they were not consistent through time. For example, one could argue for a depth effect in winter 1994, but this was reversed the following year. In addition, there was considerable summer reproduction at 8 m in both 1994 and 1995, but none elsewhere. Moreover, these patterns do not behave consistently within a depth profile. In fact, Laminaria reproduction in the north clearing at 15 m was always higher under the high density than under the low density Macrocystis. There were no Macrocystis or Pterygophora effects on Laminaria reproduction deeper than 8 m during El Nino. Also, since Laminaria recruited later at 21 and 23 m, their first reproductive season was a year later than at 8 and 15 m. A Macrocystis effect was observed only at 21 m in 1988, and there was a negative Pterygophora effect at 8 m north.

Canopy-thinning and clearance experiments: IV. Effects of Macrocystis and/or Pterygophora on Eisenia

There were enough naturally recruiting Eisenia at 8 and 15 m in 1991 to measure survivorship, growth, and reproduction [ILLUSTRATION FOR FIGURE 10 OMITTED]. No Macrocystis effect could be determined, because Eisenia recruitment was observed only in the low-density Macrocystis treatments at each depth. This in itself may be indicative of an effect of the Macrocystis canopy on the irradiance needed for Eisenia recruitment. Some interesting depth effects were again apparent in 1994 as Eisenia recruitment occurred only in the 23-m clearing that had no Macrocystis.

Survivorship, bifurcation, and growth. - For at least the first 11-21 mo, there was growth and very good survivorship of the three sets of tagged Eisenia [ILLUSTRATION FOR FIGURE 10 OMITTED]. Those at 8 m experienced no mortality, and, after only 2-4 mo, two of the six plants had bifurcated (unpublished data). After 6-8 mo, all Eisenia had bifurcated. The time to bifurcation was much longer at 15 m: after 8 mo, only one of seven plants had bifurcated and after 17 mo, only two of the seven had bifurcated. In 1994, five of the 12 plants at 23 m had bifurcated after 11 mo. Because Eisenia recruited at 8 and 15 m at the same time in late fall 1990, initial stipe growth could be compared, and it was much higher at 8 m [ILLUSTRATION FOR FIGURE 10 OMITTED]. Mean total stipe length of plants at 8 m was almost twice that at either 15 or 23 m.

Reproduction. - Eisenia at 8 m also had a higher reproductive output as measured by sporophyll blade production [ILLUSTRATION FOR FIGURE 10 OMITTED]. Not only did plants at 8 m produce more sporophylls, but the rates at which these blades were produced was higher than at 15 or 23 m. Interestingly, while sporophyll production was higher at 23 m in 1994 than at 15 m in 1991, the rates at which new blades were produced were very similar. The number of blades with sori per plant also showed a marked depth effect. During winter 1991-1992, two of six plants at 8 m actually produced sori. During winter 1992-1993, all six became reproductive. Plants at 15 m never became reproductive. At 23 m in 1994, only two of the 12 plants had become reproductive after 13 mo.

Survivorship. - Even though survivorship of Eisenia transplanted on modules in 1989 was not as good as controls, some important Macrocystis and depth effects were apparent [ILLUSTRATION FOR FIGURE 11A OMITTED]. The greatest mortality occurred during the first winter: at each depth, there were significant Macrocystis stipe effects on the number of weeks that the Eisenia survived (Table 6). Plants at 8 and 21 m low-density Macrocystis and the control plants at 15 m had the highest survival, while no plants survived after only 9 mo in the high-density Macrocystis treatments at 15 and 21 m. The Macrocystis treatment effect appears to be much more important than the depth effect on survivorship, as plants in the high-density Macrocystis treatments, at all three depths, were unhealthy and had high mortality.

Stipe growth and bifurcation. - The Eisenia on modules in the 8-m low-density Macrocystis site appeared to be the healthiest. Two of the plants at 8 m low-density Macrocystis had bifurcated after 6 mo, and, after 17 mo, three of five had bifurcated. No other plants had bifurcated by that time. Mean total stipe length of plants at 8 m low after 17 mo was [greater than]2x that of the remaining plants at 21 m as well as the 15-m controls [ILLUSTRATION FOR FIGURE 11B OMITTED]. These data were compared with nearby control situations. The mean percent growth (percent growth = [stipe length - original length]/[original length] x 100) of Eisenia at 15 m was 62% of the original stipe length, compared with the control plants, which exhibited 17% growth, after 14 mo. After 21 mo, the Eisenia in the 8 m low-density Macrocystis grew 228%, while the 15-m control plants grew only 47%.

Effects on articulated coralline and foliose red algal cover. - The turf of articulated coralline algae was recorded as percent cover of the substrate it responded differently in each experiment and demonstrated higher cover in shallow water (Table 7). There was only one important effect of Macrocystis stipe density on percent cover of articulated coralline algae after 10 mo in the 1988 experiment at 8 m ([ILLUSTRATION FOR FIGURE A19 OMITTED] in the Appendix). There were no Macrocystis effects at 15 or 21 m. After 25 mo during La Nina, there were very prominent negative Macrocystis effects at 8 and 15 m. This suggests lag effects for the coralline algae. There were no Macrocystis effects on articulated coralline cover during the 1993 El Nino. Neither were there any effects of Pterygophora density on percent cover of articulated coralline algae, except during 1988 at 8 m.

There were evident effects of Macrocystis, but not Pterygophora, on the cover of foliose red algae ([ILLUSTRATION FOR FIGURE A20 OMITTED] in the Appendix) during the El Nino experiment (data were not collected during the La Nina), and Macrocystis had important negative effects at both 8-m sites (Table 7). There were heavy patches of Desmarestia that may have obscured the initial recruitment and abundance differences (Dayton et al. 1992). Finally, there was a strong Macrocystis impact at 23 m.

This paper is predicated on the assumption that fitness and community organization are based on the net effects of many types of environmental factors that influence the distribution, abundance, survivorship, growth, and reproduction of the component species. Kelps have evolved in the context of great natural variation in oceanographic climate as well as many types of biotic interactions. Here we have attempted to evaluate kelp populations in the context of integrated and interacting oceanographic and biological processes.

Oceanographic processes influence marine systems over many scales (Haury et al. 1978, Barry and Dayton 1991). This is certainly true in coastal ecology, as efforts to generalize from even widely accepted models in the marine coastal zone, such as those of Connell (1961) and Paine (1966), are proving illusory and certainly not general in time or space (Connell 1970, Paine 1994 see recent review in Dayton 1994 for many hard substrata examples, and Hall et al. 1994 for soft substrata examples). The strong influence of oceanographic processes over large scales is especially true of kelp systems (Dayton and Tegner 1984b, Tegner et al. 1996, 1997). Santelices (1990) makes a strong case that "the processes of reproduction, dispersal and recruitment of seaweeds often involve different ecological scales. "

Most interesting ecological questions occur at regional scales far larger in time and space than those used in controlled ecological experiments. There have been very few attempts to scale up small-scale research to these larger, but more important, scales in time and space (Thrush et al. 1997). Obviously, there are many practical reasons to work at small scales with the assumption that the processes have some generality in space and time however, such assumptions are rarely tested. Small-scale experiments, no matter how well replicated, lack important reality unless they are built on a substantial foundation of natural history, including an appreciation of variability of patterns in time and space as they affect recruitment, density, survivorship, growth and reproduction rates, and dispersal. To understand larger scale patterns, it is necessary to integrate empirical small-scale experimental studies into the large-scale mosaic (Wiens 1993, Root and Schneider 1995, Thrush et al. 1997). How can we scale up small-scale studies of patterns and processes in a kelp habitat to contribute to a general understanding relevant over larger and longer scales?

One solution is to create large-scale experiments such as whole watersheds (Likens 1985) or lakes (Schindler 1987, Carpenter et al. 1995). In most cases, controls and replications are precluded, as often is standard statistical analysis. The problem of scaling up from experiments is acute, because most experiments can not be formally generalized (Eberhardt and Thomas 1991). Various methods of formally cycling experiments and surveys have been recommended by Rastetter et al. (1992) and Wiens et al. (1993). Schneider et al. (1997) and Thrush et al. (1997) have presented examples of iterative cycling between models, observations, and experiments.

We have evaluated the "fundamental niches" (sensu Hutchinson 1957) of important species of kelp with long-term observations and experiments that have incorporated different oceanographic conditions with contrasting levels of nutrients and disturbance. To understand the spatial components of the fundamental niches and to explore the relative importance of these variables across an environmental gradient, we have replicated these observations and experiments at different water depths in the kelp forest. The "realized niches" resulting from biotic interactions were evaluated by simple density manipulations over both time and space. Santelices (1990) reviews many studies demonstrating intense intra- and interspecific density effects. For several species of kelps, we have evaluated survival of recruits and juveniles, as well as their growth and reproduction in different oceanographic climate conditions, types of disturbance, and important competition. Because the different oceanographic conditions have presumably included important differences in nutrients, we are able to evaluate the importance of bottom-up (nutrients and light) forcing on these relationships. Moreover, because we have also experienced extreme variation in the intensity and extent of physical disturbances over almost 30 yr, we can contrast important components of top-down (biotic and abiotic disturbance) forcing as they influence the relationships under study (Dayton et al. 1992).

Conducting experiments during two very different oceanographic climates over the environmental depth [TABULAR DATA FOR TABLE 6 OMITTED] gradients of one of the largest giant kelp forests in the world allows an unusual evaluation of the robustness of competition experiments in time and space. This community is characterized by a single strong competitive dominant plant, Macrocystis pyrifera, and several understory species, especially Pterygophora californica, Eisenia arborea, and Laminaria farlowii. Previous work (Dayton et al. 1984) has shown a competitive hierarchy of Macrocystis [greater than] Pterygophora [greater than] Laminaria and other understory species including red foliose and coralline algae, and that the hierarchy changed in different regimes of wave exposure. The current study has demonstrated that the intensity of that pattern varies markedly across depth in the same region.

Perhaps our most striking observation is the role of scaling in time. Santelices (1990) and Reed et al. (1996) summarize the literature, emphasizing the important role of seasonal patterns in reproduction. Certainly, we observed seasonality in Pterygophora and Laminaria. However, longer scales in time seem even more important, as long-term research demonstrates the critical role of oceanographic climate that varies from the nutrient-poor conditions of massive, or even intermittent, El Nino conditions (such as we studied in 1992-1993 in which the competitive dominant was highly stressed) to a nutrient-rich La Nina event (in which the competitive dominance was very powerful) (Dayton et al. 1992, Tegner et al. 1996, 1997). A historical review (Tegner et al. 1996) reports major changes in the Macrocystis canopy over the last century, and up to two-thirds reductions in standing biomass and stipe carrying capacity since 1957, with most of the changes assumed to occur after an important oceanographic regime shift (sensu Steele 1996) in the mid-1970s (Hayward 1997) that offers evidence of even more important time scale understanding. As expected, we found considerable differences in the fundamental and realized niches of the specific kelps.

Macrocystis exhibited dramatic differences between the oceanographic climate events with order of magnitude differences in initial kelp density between the nutrient-rich La Nina and the nutrient-poor El Nino there were also strong between depth differences during the La Nina. Table 6 summarizes all the plant-plant relationships over the depth gradient during these contrasting oceanographic conditions.

The effects of Macrocystis were manipulated as plant density, but they were analyzed as stipe density. Its competitive effects, however, are mediated through both canopy and water column shading, neither of which is practical to manipulate (Dayton et al. 1984, 1992). We have two 31 yr time series of the Point Loma canopy: canopy area as determined from annual aerial surveys and the commercial harvest, which closely approximates canopy productivity (Tegner et al. 1996, 1997). Canopy area and harvest are significantly correlated, but vary relative to each other colder years support higher stipe per plant values, denser canopies, and higher harvests, relative to canopy area, which does not give a measure of canopy density or standing stock. Canopy area and harvest varied by factors of about four from the post La Nina high in 1990 to the low of 1992, which was associated with El Nino conditions. By 1994, canopy area had recovered to its 1990 value, due to the recovery of sea urchin barrens (Tegner et al. 1995) but area was high relative to harvest, because the warm water conditions were associated with very low stipe densities.

Because Macrocystis were manipulated, intraspecific effects on density could not be evaluated. The survivorship data (Table 1) show generally higher survivorship [TABULAR DATA FOR TABLE 7 OMITTED] during the La Nina, but, with one exception, there were no significant intraspecific Macrocystis effects on survivorship at any depth during either La Nina or El Nino conditions. The one exception was one of the two shallow clearings in 1993, which may have resulted from localized Desmarestia settlement or patchy localized Macrocystis recruitment (Dayton et al. 1984). Thus, there was a single shallow-water intraspecific effect of Macrocystis stipe density on survivorship during El Nino. There were strong oceanographic and competition-induced differences in growth of both holdfasts and sporophylls, which were highly impacted by Macrocystis stipe density at all depths during La Nina, but only at shallow depths where nutrients are more likely to be limiting during El Nino (Table 6 Jackson 1977, 1983, Gerard 1982, Zimmerman and Kremer 1984). Neushul and Harger (1985), working in a very shallow (7-m) protected site near Santa Barbara, found that density manipulations and fertilization of the surface canopy resulted in surprisingly high yields, with a considerable amount of genetic among-plant variation. As in our experiments, they found important density effects. They also found similar nutrient effects (corresponding to our temperature effects) and that fertilization was important only during the warm, "nutrient drought" periods of the year. Again, consistent with our results, Reed et al. (1996) have shown that nitrogen content of adult Macrocystis tissue was negatively correlated with temperature, but positively correlated with reproductive capacity. Summarizing for Macrocystis, the intraspecific impacts were mostly restricted to the nutrient-rich La Nina conditions, with a tendency toward being more severe at shallower depths. It is important to point out that there were large background differences in which the nutrient-rich La Nina conditions resulted in increased Macrocystis growth and reproduction in general, but that the intraspecific impact was nevertheless very severe during the La Nina.

At smaller (10-100 [m.sup.2]) scales, Macrocystis usually had conspicuously patchy recruitment. We suggest that this results from a drifting entanglement of several plants snagged on the bottom for a few days (Dayton et al. 1984) and/or dense but patchy recruitment of Desmarestia that restricts kelp recruitment in the area (Dayton et al. 1992). In 1988, for example, Desmarestia recruited so densely at 15 m that an entire experimental block was abandoned and a new clearing made nearby. Another Desmarestia recruitment event occurred at 8 and 15 m in 1993, and we removed the Desmarestia for 4 mo to minimize its impact.

Three enrichment experiments to consider the role of oceanographic conditions on Pterygophora were attempted, using the same techniques as Dean and Jacobson (1986) who found enrichment effects with Macrocystis. The first was conducted from September 1991-January 1992, when it was terminated by a break in the nearby San Diego City sewage outfall. The second was run from September 1993-February 1994 and was terminated by prolonged strong upwelling in the area that produced cold, nutrient-rich water that made treatment irrelevant. Finally, the third was run from July 1994-December 1994, at which time all the plants were destructively sampled and the soral tissue weighed in the laboratory. In each case, the results were suggestive, but in contrast with Dean and Jacobson's (1986) results with Macrocystis, we found no significant differences in growth, sporophyll numbers, number of fertile sporophylls, or wet mass of soral tissue for Pterygophora.

Pterygophora is known to be competitively dominated by Macrocystis (Dayton et al. 1984, 1992, Reed and Foster 1984, Tegner et al. 1997). Pterygophora responded to the loss and poor growth of Macrocystis in the 1982-1984 El Nino in many areas (Dayton and Tegner 1984a, Tegner and Dayton 1987, Dayton et al. 1992), but, except for the shallow 12-m site [ILLUSTRATION FOR FIGURE 7A OMITTED], Pterygophora recruitment in these sites during the post-1982-1984 El Nino period was quickly dominated by Macrocystis (Dayton et al. 1992). Pterygophora populations at the more shallow sites were virtually eliminated by the 1988 storm (Dayton et al. 1992). Like Macrocystis, the background densities of Pterygophora were almost an order of magnitude higher during La Nina.

The effects of Macrocystis on Pterygophora density, during the 1988 La Nina, were pronounced at 8 and 15 m, but during the 1993 El Nino they were important only at one 8-m site (Tables 1 and 3). The 1988 experiment had much higher initial densities than were observed in the 1993 experiments, but these did not persist. A likely explanation is that we observed extremely heavy recruitment of both species after the 1988 storm, and higher nutrient concentrations during the La Nina contributed to a strong Macrocystis canopy impact on Pterygophora that occurred later. Another unexpected observation is that in 1994-1995, the north and south clearings at 15 m behaved differently. The south clearing followed the expected negative relationship between Pterygophora density and Macrocystis stipe density, while the north site had a much lower Pterygophora density in the no-Macrocystis treatment than in the low Macrocystis density. Nevertheless, at the high Macrocystis density, the Pterygophora density was similar to that of the south clearing, suggesting patchy recruitment. Another natural history explanation for the low Pterygophora density with no Macrocystis is that the site had a very heavy cover of Laminaria, which we observed to be able to reduce recruitment of both Macrocystis and Pterygophora, in the 1970s (Dayton et al. 1984), before Pterygophora appeared. As mentioned, the 1988 high Macrocystis area had a much lower Pterygophora density after 25 mo, suggesting that it simply took longer for the Macrocystis effect to be exerted.

The most impressive effects of Macrocystis on Pterygophora were exerted on growth and reproduction, which were very strongly impacted by Macrocystis stipe densities at most depths (Table 3). DeWreede (1984) found a clear relationship between biomass and reproductive output for Pterygophora, and Novaczek (1984) and DeWreede and Klinger (1988) reported similar patterns for Ecklonia radiata, and Laminaria setchelli and L. ephemera, respectively. This relationship between growth and reproduction was apparent in our study, with both being strongly affected by competition with Macrocystis.

Considering the strong general interspecific effects of Macrocystis on Pterygophora growth and reproduction, it is interesting that we did not find strong effects on survivorship. The only Macrocystis effects on survival were at 15 m during the La Nina and at 8 m during the El Nino (Tables 1 and 3). The module experiment (Table 4) also recorded a strong negative effect on survivorship at 15 m. We believe that this lack of consistent and strong effect on survival is an artifact that is caused by a lag in time before the Pterygophora die spindly Pterygophora were slow to die even if they could not grow or reproduce. Pterygophora on the transect lines [ILLUSTRATION FOR FIGURE 7 OMITTED] disappeared by 1992, a year after we stopped monitoring the 1988 clearing experiment. Similarly, Reed (1990) found Pterygophora survival was not density dependent, probably for the same reason. It appears that Pterygophora can persist in low light, nutrient-rich conditions, but growth and reproduction are much reduced in low light situations.

These "sublethal" effects are consistent with observations by Reed (1990) and Reed et al. (1996). Reed (1990) documented important intraspecific density dependence in Pterygophora growth and reproduction, and related these effects to competition for light. Initial densities of Pterygophora in our 1988 experiments were much higher than in 1993, suggesting that the intraspecific effect at 8 and 15 m would be stronger in 1988-1989. It was significantly positive in 1993 in the clearing experiments (Tables 3 and 6), and the module experiments (Tables 4 and 6) also included several examples of strong Pterygophora intraspecific competition. Perhaps the most important observation is that Pterygophora did not recruit as well at the beginning of the 1993 experiments as they did after the 19821983 El Nino storms and after the 1988 storm (Dayton and Tegner 1984a, Reed et al. 1988, 1996, Dayton et al. 1992, Tegner et al. 1997). Pterygophora responded quickly at 8 m, but took longer at 15 m. It is not clear why Pterygophora did not respond to the clearings immediately in 1993, although Desmarestia at 15 m and limits to dispersal seem to be obvious hypotheses because populations were depressed throughout the kelp forest, and there was no major storm. Furthermore, light levels were very low [ILLUSTRATION FOR FIGURE 4 OMITTED]. The module experiment did suggest patchy but intense intraspecific competition this competitive intensity appears to fall off during nutrient-poor years. However, in contrast to Dean and Jacobson's (1986) results with Macrocystis, our experiments failed to document nutrient stress in Pterygophora, despite repeated efforts. This is consistent with Reed et al. (1996) as well as with our observations of heavy recruitment, growth, and survivorship of Pterygophora during the highly nutrient-stressed El Nino of 1982-1984 (Dayton and Tegner 1984a, Tegner and Dayton 1987). Any kelp can be stressed by low nutrients, but Pterygophora seems relatively robust and tolerant to nutrient stress.

Macrocystis had variable impacts on Laminaria farlowii (Table 5). There were highly significant shallow-water impacts on density during both La Nina and El Nino, but these were not observed in the deepest sites. This probably reflects the denser shallow-water Macrocystis canopy. There were strong shallow-water effects on survivorship during the La Nina, but not during the El Nino, and strong effects of Macrocystis on Laminaria growth at all depths and during both time periods. We also observed effects on reproduction. There were significant Pterygophora effects on Laminaria density at 15 m only during El Nino, again suggesting that biological interactions are stronger in shallow water. The dense 1988 Macrocystis eliminated Laminaria at 8 m high density, but there were also highly significant Pterygophora effects on Laminaria growth in 1988. This significant Pterygophora effect was seen only at the deepest site during El Nino. Thus, both Macrocystis and Pterygophora had serious impacts on Laminaria during the nutrient-rich La Nina years. The deeper Laminaria at 18 and 15 m, however, fared better after the massive 1982-1984 El Nino [ILLUSTRATION FOR FIGURE 7B OMITTED] and suffered less in the 1988 storm. Both Laminaria and Pterygophora responded to the loss of Macrocystis after the winter storms of 1982-1983 and after the great 1988 storm (see Dayton et al. 1992). This supports a hierarchical effect in which Pterygophora has a strong impact on Laminaria in the absence of Macrocystis (Dayton et al. 1984). Initial densities of Pterygophora in the first experiments were much higher than in 1993, so the intraspecific effects at 8 and 15 m would be stronger in 1988-1989. The positive effects may relate to the fact that the high Macrocystis treatments also had high Pterygophora densities. Hence, there can be a strong correlation between Macrocystis and Pterygophora.

The evolutionary implications of the La Nina event on Laminaria survival and reproduction are striking. None of the tagged plants in the 8 m high Macrocystis treatment, and only two of 16 plants in the 15 m high density treatment, reproduced before their early death. Laminaria in the high density Macrocystis treatment at 21 m had better survivorship, but only one plant was ever observed to be reproductive at that site. The fundamental niche of Laminaria is very broad, as evidenced by its large geographic range as well as its extremely wide depth distribution ranging from the intertidal to 120 m (Lissner and Dorsey 1986). But, because it is so sensitive to competition, its realized niche is relatively small and an extended period of colder temperatures, by stimulating overstory species, could be devastating for this competitively inferior member of the understory.

Eisenia arborea has as wider depth distribution than Pterygophora, but it also ranges south down the western Baja California peninsula. Compared with the other kelps we have studied, recruitment rates of Eisenia were extremely low, and we observed it only in shallow low Macrocystis treatments or in deeper areas that had no other canopy. This low recruitment has been consistent over the entire 27 yr that we have worked at Point Loma. Once juveniles were established, there was remarkably good survivorship [ILLUSTRATION FOR FIGURE 10 OMITTED]. Both growth and reproduction were much diminished with depth stipe growth at 8 m was [approximately]2x that observed at deeper depths, and sporophyll production was much higher in shallow water. These conclusions are consistent with the module experiments, in which the low density treatments had significantly higher survivorship at all three depths (Table 6), and the only growth was observed in the shallow low density treatment [ILLUSTRATION FOR FIGURE 11 OMITTED]. The Macrocystis treatment effect seemed much stronger than the depth effect.

Like Laminaria, Eisenia seems especially sensitive to competition in almost all life history parameters. Recruitment is strongly inhibited by canopies, as are growth and reproduction. Most interestingly, it seems to be the slowest kelp of those studied to reach sexual maturity. This was not expected, because it has a very broad depth distribution occurring in deep water (Lissner and Dorsey 1986) as well as into the intertidal at Point Loma (Dayton et al. 1992). Perhaps these fringe populations serve as refuges from competition. It is important to point out that although recruitment is very rare and seemingly sensitive to competition, in the 1970s and early 1980s we observed Eisenia to have high survivorship and to strongly out compete Pterygophora in the 15 m patches (Dayton et al. 1984).

It seems that the strongest biological interactions were consistently seen during the La Nina, when nutrient-rich water conditions resulted in strong canopy growth, especially in shallow water. This resulted in significant and often massive competitive impacts on the subordinate species. These patterns were dependent upon the depth of the research sites, because stipe carrying capacity increases with decreasing water depth (Dayton et al. 1992), resulting in denser Macrocystis canopy growth in shallow water. These patterns were very different during the nutrient-poor El Nino years, when the Macrocystis canopy was more strongly impacted than the understory canopies (Dayton and Tegner 1984a, Tegner and Dayton 1987, Tegner et al. 1996, 1997). In terms of the fundamental and realized niches of the kelps, the fundamental niches were strongly influenced by light and nutrients, but the realized niches that were potentially dictated by canopy competition were variable in time, depending upon the oceanographic climate (ENSO events).

Recovery from the two oceanographic climate events was also different. Patches and populations of kelps all recovered from El Ninos remarkably quickly, however, the recovery from the strong canopy competition induced by the nutrient-rich La Nina was much slower and some of the patches appear to be permanently changed. Understory patches at 15 m that had persisted 25 yr through the strongest El Nino in a century and perhaps the most destructive storm in two centuries (Dayton et al. 1992) were finally eliminated by light limitation induced by La Nina conditions. Indeed, Laminaria disappeared from large areas. This emphasizes the long-term persistence of rare competition (both intra- and interspecific) events.

Most reviews of disturbance emphasize the importance of the intensity and scales of the perturbation. Kelp forests are exposed to a large array of small-scale disturbances, many of which have been well studied (Dayton 1985) however, integrated studies of large scale events are rare (Dayton et al. 1992, Tegner et al. 1996, 1997). Concerning the disturbances impacting Point Loma in the 1980s, one effect was increased canopy destruction. However, much of the structure of the community recovered quickly (Dayton et al. 1992). Tegner et al. (1997) discussed how the patterns of succession following the El Nino storms of 1982-1983 and the single 1988 storm were very different because of the different oceanographic climates that followed the disturbances.

Age of maturation is one of the most important demographic parameters. The Macrocystis density treatment had little intraspecific or interspecific effects on this parameter, except for Pterygophora during La Nina and the shallow site during the El Nino. However, very important depth effects during La Nina were only marginal during El Nino years. Santelices (1990) summarizes some of the literature describing ontogenic patterns of reproduction. Most authors (e.g., DeWreede 1984, Chapman 1986a, Reed 1987) agree that the most important determinant of the actual number of spores produced is the size of the plant, rather than the age of maturation. However, age of maturation is well known to be an important component of an organism's response to disturbance. Santelices (1990) points out that age can be a poor indicator of demographic parameters for kelps, because growth and reproductive rates can be suppressed by environmental variables, like those that we have demonstrated.

What is the selective mechanism for the different reproductive strategies of kelps in this community? Survivorship of Macrocystis and Pterygophora appear similar in our results, Pterygophora is well known to be able to live much longer than Macrocystis (Dayton 1985). Reed et al. (1996) suggested that Macrocystis reproduces more or less continuously, because it is energetically cheap to produce spores and, considering that the plants do not live very long, it is adaptive bet-hedging to reproduce continuously rather than risk mortality. On the other hand, the often much longer lived Pterygophora can afford to save their energy and reproduce when the probability of spore survival is highest. Reed et al. (1996) observed that Pterygophora spore C/N ratios were constant over time, whereas the Macrocystis C/N ratio was strongly affected by water temperature, which is an indicator of nutrients. Our data support this observation: the important storm disturbances we have documented since 1970 occurred in the winter months, with consequent increased irradiance on the bottom (summarized in Dayton et al. 1984, 1992). Furthermore, Pterygophora reproduction [ILLUSTRATION FOR FIGURE 8B OMITTED] peaks before the onset of cold temperatures during the spring [ILLUSTRATION FOR FIGURE 2 OMITTED], offering further indication that reproduction in this species is independent of nutrients. Not surprisingly, Pterygophora seems sensitive to the amount of irradiance for reproduction (Reed 1990, Reed et al. 1996), and this strongly selects for seasonal reproduction during the period most likely characterized by disturbance, and subsequent open space on the bottom, as well as storm-thinned canopies above. In contrast, as we have seen, Macrocystis is extremely sensitive to nutrient stress (see also Neushul and Harger 1985, Reed et al. 1996, Tegner et al. 1996, 1997). Because its canopy floats on the surface, adult Macrocystis are sensitive to surface nutrients and relatively less sensitive to light, thus decoupling surface and benthic events.

Demonstration that the most lasting impacts of natural variation in oceanographic climate result from those induced by strong light competition suggests revisiting the comparison between density-dependent/density-independent regulation and density-vague relationships (Strong 1986). In density-vague relationships, inconsistent relationships are occasionally replaced by strong density-dependent impacts, such as those resulting from competition for light, which are strengthened by the nutrient-rich La Nina. It appears as though the realized niches (as opposed to the fundamental niches) are defined by density-vague regulation. For example, most small-scale studies of kelp have shown density-dependent regulation of growth and reproduction (see reviews in Dayton 1985, Chapman 1986b, DeWreede and Klinger 1988), and self-thinning of dense patches of new recruits (Dayton et al. 1984) is common. Much less common, but extremely important in a density-vague sense, are the strong and more lasting events of competitive exclusion, such as seen in this study.

Finally, ecosystem biologists ask questions about environmental parameters critical to the very existence of the system as a whole. For example: what controls productivity and various rate functions, and what general forcing functions work to channel material through different pathways? While these parameters define the biotic systems, it has been difficult to relate ecosystem variables to evolutionary processes. We and Tegner et al. (1996, 1997) have evaluated temperature as a surrogate of nitrogen and light, two of the most important parameters affecting kelp productivity. We found that temporal differences in nitrogen affect the growth rate of the dominant kelp. Furthermore, there are cascading effects on the recruitment, survivorship, and reproduction of the understory species, and these effects vary across the depth gradient. That is, the availability of nutrients influences kelp interactions across spatial scales, as well as influencing the amount and direction of intraspecific and interspecific competition. This implies that the bottom-up forcing of nutrient availability may be one of the most important characteristics of this system.

What is the appropriate scale of study? For marine systems, this answer must be based on integrating an understanding of the appropriate oceanographic structure or physical processes (Barry and Dayton 1991) with locally important biological processes. The relevant physical and biological processes define both large- and small-scale patterns (Thrush et al. 1997), and these processes should be identified a priori. In our system, small-scale patterns are driven by processes (competition, disturbance, dispersal, etc.) that are also potentially very important at larger scales however, our most lasting effects result from very large-scale, low-frequency episodic changes in nutrients, with cascading competitive consequences to the other algal populations on in the community.

This project is built on data collected in thousands of underwater hours. In particular, we acknowledge R. Butler, D. Green, L. Hall, T. Klinger, C. Lennert, E. Nestler, W. Nordhausen, E. Parnell, K. Plummer, and L. Walcheff. For advice and help, we sincerely thank L. Basch, M. Graham, T. Hayward, J. Hewitt, A. Hobday, J. McGowan, B. Mordida, D. Reed, E. Sala, E. Scripps, S. Thrush, and E. Vetter. For financial support, we thank the National Science Foundation, City of San Diego, Marine Life Research Group of the University of California, Pew Charitable Trust, and the California Sea Grant College Program for support over many years.

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Figs. A1-A20 showing supplemental plots of experimental data are available in ESA's Electronic Data Archive: Ecological Archives M069-003.

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