Showing papers by "Clare H. Robinson published in 2017"
University of Oklahoma1, Utah State University2, University of North Carolina at Greensboro3, Eastern Michigan University4, University of Oregon5, Johns Hopkins University6, Smithsonian Environmental Research Center7, Wichita State University8, University of Minnesota9, Virginia Institute of Marine Science10, Qatar University11, University of Maryland, College Park12, University of Alberta13, Archbold Biological Station14, University of Colorado Boulder15, James Hutton Institute16, University of New Mexico17, Lanzhou University18, University of Oulu19, Helmholtz Centre for Environmental Research - UFZ20, Towson University21, University of Bayreuth22, United States Forest Service23, Norwegian University of Life Sciences24, Colorado State University25, University of Greifswald26, Tsinghua University27, Northern Arizona University28, University of Texas at El Paso29, United States Department of Agriculture30, Charles Sturt University31, University of Manchester32, Arizona State University33, Leiden University34, Chinese Academy of Sciences35, University of Buenos Aires36, Aarhus University37
TL;DR: Spatial heterogeneity should be a major focus for maintaining the stability of ecosystem services at larger spatial scales because asynchronous responses among local communities were linked with species’ populations fluctuating asynchronously across space.
Abstract: Temporal stability of ecosystem functioning increases the predictability and reliability of ecosystem services, and understanding the drivers of stability across spatial scales is important for land management and policy decisions. We used species-level abundance data from 62 plant communities across five continents to assess mechanisms of temporal stability across spatial scales. We assessed how asynchrony (i.e. different units responding dissimilarly through time) of species and local communities stabilised metacommunity ecosystem function. Asynchrony of species increased stability of local communities, and asynchrony among local communities enhanced metacommunity stability by a wide range of magnitudes (1–315%); this range was positively correlated with the size of the metacommunity. Additionally, asynchronous responses among local communities were linked with species’ populations fluctuating asynchronously across space, perhaps stemming from physical and/or competitive differences among local communities. Accordingly, we suggest spatial heterogeneity should be a major focus for maintaining the stability of ecosystem services at larger spatial scales.
112 citations
DOI•
01 Jan 2017
TL;DR: The analysis proceeds in several steps, which can be viewed most easily by examining the ~/Wilcox_etal_DerivedData-and-Code/analysis_scripts/main_text-scripts/patches_source_all_scripts.R file.
Abstract: R code, derived metrics, and limited metadata associated with Wilcox et al. (2017). Asynchrony among local communities stabilizes ecosystem function of metacommunities. Ecology Letters. When using this data or code, please cite the original publication: Wilcox, K.R., A.T. Tredennick, S. Koerner, E. Grman, L. Hallett, M. Avolio, K. La Pierre, G. Houseman, F. Isbell, D. Johnson, J. Alatalo, A. Baldwin, E. Bork, E. Boughton, W. Bowman, A. Britton, J. Cahill, S. Collins, G-Z. Du, A. Eskelinen, L. Gough, A. Jentsch, C. Kern, K. Klanderud, A. Knapp, J. Kreyling, Y. Luo, J. McLaren, P. Megonigal, V. Onipchenko, J. Prevey, J. Price, C. Robinson, O. Sala, M. Smith, N. Soudzilovskaia, L. Souza, D. Tilman, S. White, Z. Xu, L. Yahdjian, Q. Yu, P. Zhang, Y, Zhang. (2017). Asynchrony among local communities stabilizes ecosystem function of metacommunities. Ecology Letters vol(iss):xx-xx. Additionally, please cite the Figshare file set: Wilcox, K.R., A.T. Tredennick, S. Koerner, E. Grman, L. Hallett, M. Avolio, K. La Pierre. (2017). Data and code from: Asynchrony among local communities stabilizes ecosystem function of metacommunities. Figshare. https://dx.doi.org/10.6084/m9.figshare.5384167. R Code The analysis proceeds in several steps, which can be viewed most easily by examining the ~/Wilcox_etal_DerivedData_and_Code/analysis_scripts/main_text_scripts/patches_source_all_scripts.R file. Questions about the code or analysis should be directed to Kevin Wilcox (wilcoxkr@gmail.com) or Andrew Tredennick (atredenn@gmail.com). Derived Data We provide the full set of metrics (e.g., alpha, beta, and gamma stability and diversity) for each of our study sites. The main analysis and all figures in the paper can be reproduced using these metrics. Metrics were calculated from time series of abundance data from 62 grassland sites around the globe, although primarily from North America and Europe. The data is part of the CoRRE Data Base (http://corredata.weebly.com/), and those interested in using proprietary data not included in this fileset are encouraged to contact the CoRRE data base maintainers (http://corredata.weebly.com/contact.html).
1 citations