TY - JOUR
T1 - Scale-dependent relationships between the spatial distribution of a limiting resource and plant species diversity in an African grassland ecosystem
AU - Anderson, T. Michael
AU - McNaughton, Samuel J.
AU - Ritchie, Mark E.
N1 - Funding Information:
Acknowledgements Special thanks to E. M. Peter for help in the field and M. M. McNaughton for help in the laboratory. D. E. O’Connell, L. L. Wolf, and B. Schmedicke improved the manuscripts with editorial comments. Thanks to M. Coughenour for providing a field vehicle and the Serengeti Monitoring Program for providing rainfall data. This research was funded by NSF grant DEB-9903845 to S. J. McNaughton and an NSF doctoral fellowship to T. M. Anderson.
Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2004/4
Y1 - 2004/4
N2 - One cornerstone of ecological theory is that nutrient availability limits the number of species that can inhabit a community. However, the relationship between the spatial distribution of limiting nutrients and species diversity is not well established because there is no single scale appropriate for measuring variation in resource distribution. Instead, the correct scale for analyzing resource variation depends on the range of species sizes within the community. To quantify the relationship between nutrient distribution and plant species diversity, we measured NO3- distribution and plant species diversity in 16 paired, modified Whittaker grassland plots in Serengeti National Park, Tanzania. Semivariograms were used to quantify the spatial structure of NO3- from scales of 0.4-26 m. Plant species diversity (Shannon-Weiner diversity index; H′) was quantified in 1-m 2 plots, while plant species richness was measured at multiple spatial scales between 1 and 1,000 m2. Small-scale variation in NO3- (<0.4 m) was positively correlated with 1-m 2 H′, while 1,000-m2 species richness was a log-normal function of average NO3- patch size. Nine of the 16 grassland plots had a fractal (self-similar across scales) NO 3- spatial distribution; of the nine fractal plots, five were adjacent to plots that had a non-fractal distribution of NO 3-. This finding offered the unique opportunity to test predictions of Ritchie and Olff (1999): when the spatial distribution of limiting resources is fractal, communities should display a left-skewed log-size distribution and a log-normal relationship between net primary production and species richness. These predictions were supported by comparisons of plant size distributions and biomass-richness relationships in paired plots, one with a fractal and one with a non-fractal distribution of NO3-. In addition, fractal plots had greater large-scale richness than paired non-fractal plots (1,0-1000 m2), but neither species diversity (H′) nor richness was significantly different at small scales (1 m 2). This result is most likely explained by differences in the scale of resource variation among plots: fractal and non-fractal plots had equivalent NO3- variation at small scales but differed in NO 3- variation at large scales (as measured by the fractal dimension). We propose that small-scale variation in NO3- is largely due to the direct effects of plants on soil, while patterns of species richness at large scales is controlled by the patch size and fractal dimension of NO3- in the landscape. This study provides an important empirical step in understanding the relationship between the spatial distribution of resources and patterns of species diversity across multiple spatial scales.
AB - One cornerstone of ecological theory is that nutrient availability limits the number of species that can inhabit a community. However, the relationship between the spatial distribution of limiting nutrients and species diversity is not well established because there is no single scale appropriate for measuring variation in resource distribution. Instead, the correct scale for analyzing resource variation depends on the range of species sizes within the community. To quantify the relationship between nutrient distribution and plant species diversity, we measured NO3- distribution and plant species diversity in 16 paired, modified Whittaker grassland plots in Serengeti National Park, Tanzania. Semivariograms were used to quantify the spatial structure of NO3- from scales of 0.4-26 m. Plant species diversity (Shannon-Weiner diversity index; H′) was quantified in 1-m 2 plots, while plant species richness was measured at multiple spatial scales between 1 and 1,000 m2. Small-scale variation in NO3- (<0.4 m) was positively correlated with 1-m 2 H′, while 1,000-m2 species richness was a log-normal function of average NO3- patch size. Nine of the 16 grassland plots had a fractal (self-similar across scales) NO 3- spatial distribution; of the nine fractal plots, five were adjacent to plots that had a non-fractal distribution of NO 3-. This finding offered the unique opportunity to test predictions of Ritchie and Olff (1999): when the spatial distribution of limiting resources is fractal, communities should display a left-skewed log-size distribution and a log-normal relationship between net primary production and species richness. These predictions were supported by comparisons of plant size distributions and biomass-richness relationships in paired plots, one with a fractal and one with a non-fractal distribution of NO3-. In addition, fractal plots had greater large-scale richness than paired non-fractal plots (1,0-1000 m2), but neither species diversity (H′) nor richness was significantly different at small scales (1 m 2). This result is most likely explained by differences in the scale of resource variation among plots: fractal and non-fractal plots had equivalent NO3- variation at small scales but differed in NO 3- variation at large scales (as measured by the fractal dimension). We propose that small-scale variation in NO3- is largely due to the direct effects of plants on soil, while patterns of species richness at large scales is controlled by the patch size and fractal dimension of NO3- in the landscape. This study provides an important empirical step in understanding the relationship between the spatial distribution of resources and patterns of species diversity across multiple spatial scales.
KW - Fractal geometry
KW - Nitrogen
KW - Serengeti National Park
KW - Soil heterogeneity
KW - Spatial scale
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U2 - 10.1007/s00442-004-1499-1
DO - 10.1007/s00442-004-1499-1
M3 - Article
C2 - 15007724
AN - SCOPUS:2342535162
SN - 0029-8549
VL - 139
SP - 277
EP - 287
JO - Oecologia
JF - Oecologia
IS - 2
ER -