Temporal heterogeneity increases with spatial heterogeneity in ecological communities.
Autor: | Collins SL; Department of Biology, University of New Mexico, Albuquerque, New Mexico, 87131, USA., Avolio ML; Department of Earth and Planetary Sciences, Johns Hopkins University, Baltimore, Maryland, 21218, USA., Gries C; Center for Limnology, University of Wisconsin-Madison, Madison, Wisconsin, 53706, USA., Hallett LM; Environmental Studies Program and Department of Biology, University of Oregon, Eugene, Oregon, 97403, USA., Koerner SE; Department of Biology, University of North Carolina Greensboro, Greensboro, North Carolina, 27402, USA., La Pierre KJ; Smithsonian Environmental Research Center, Edgewater, Maryland, 21037, USA., Rypel AL; Department of Wildlife, Fish and Conservation Biology, University of California, Davis, California, 95616, USA., Sokol ER; National Ecological Observatory Network, Boulder, Colorado, 80301, USA., Fey SB; Biology Department, Reed College, Portland, Oregon, 97202, USA., Flynn DFB; The Arnold Arboretum of Harvard University, Boston, Massachusetts, 02130, USA., Jones SK; Department of Biology, University of New Mexico, Albuquerque, New Mexico, 87131, USA., Ladwig LM; Department of Integrative Biology, University of Wisconsin-Madison, Madison, Wisconsin, 53706, USA., Ripplinger J; Department of Botany and Plant Sciences, University of California, Riverside, California, 92521, USA., Jones MB; National Center for Ecological Analysis and Synthesis, 735 State Street, Suite 300, Santa Barbara, California, 93101, USA. |
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Jazyk: | angličtina |
Zdroj: | Ecology [Ecology] 2018 Apr; Vol. 99 (4), pp. 858-865. Date of Electronic Publication: 2018 Feb 15. |
DOI: | 10.1002/ecy.2154 |
Abstrakt: | Heterogeneity is increasingly recognized as a foundational characteristic of ecological systems. Under global change, understanding temporal community heterogeneity is necessary for predicting the stability of ecosystem functions and services. Indeed, spatial heterogeneity is commonly used in alternative stable state theory as a predictor of temporal heterogeneity and therefore an early indicator of regime shifts. To evaluate whether spatial heterogeneity in species composition is predictive of temporal heterogeneity in ecological communities, we analyzed 68 community data sets spanning freshwater and terrestrial systems where measures of species abundance were replicated over space and time. Of the 68 data sets, 55 (81%) had a weak to strongly positive relationship between spatial and temporal heterogeneity, while in the remaining communities the relationship was weak to strongly negative (19%). Based on a mixed model analysis, we found a significant but weak overall positive relationship between spatial and temporal heterogeneity across all data sets combined, and within aquatic and terrestrial data sets separately. In addition, lifespan and successional stage were negatively and positively related to temporal heterogeneity, respectively. We conclude that spatial heterogeneity may be a predictor of temporal heterogeneity in ecological communities, and that this relationship may be a general property of many terrestrial and aquatic communities. (© 2018 by the Ecological Society of America.) |
Databáze: | MEDLINE |
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