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  • GlobalGrasslandEvennessAcrossWaterAvailabilityGradients_Smith_etal_2022
  • Smith, Melinda D.; Colorado State University
    Koerner, Sally E.; University of North Carolina Greensboro
    Avolio, Meghan L.; Johns Hopkins University
    Komatsu, Kimberly J.; Smithsonian Environmental Research Center
    Eby, Stephanie; Northeastern University
    Forrestel, Elisabeth J.; University of California, Davis
    Collins, Scott L.; University of New Mexico
    Wilcox, Kevin R.; University of Wyoming
    Ahumada, Rodrigo; Instituto Nacional de Tecnología Agropecuaria
    Morgan, John W.; La Trobe University
    Oliva, Gabriel; Instituto Nacional de Tecnología Agropecuaria
    Oñatibia, Gastón; Universidad de Buenos Aires
    Overbeck, Gerhard E.; Universidade Federal do Rio Grande do Sul
    Peter, Guadalupe; Universidad Nacional de Río Negro
    Quiroga, Emiliano; Universidad Nacional de Catamarca
    Sankaran, Mahesh; University of Leeds, National Centre for Biological Sciences
    Wu, Jianshuang; Chinese Academy of Agricultural Sciences
    Yahdjian, Laura; Universidad de Buenos Aires
    Yu, Qiang; Chinese Academy of Agricultural Sciences
  • 2022-02-18
  • Smith, M.D., S.E. Koerner, M.L. Avolio, K.J. Komatsu, S. Eby, E.J. Forrestel, S.L. Collins, K.R. Wilcox, R. Ahumada, J.W. Morgan, G. Oliva, G. Oñatibia, G.E. Overbeck, G. Peter, E. Quiroga, M. Sankaran, J. Wu, L. Yahdjian, and Q. Yu. 2022. GlobalGrasslandEvennessAcrossWaterAvailabilityGradients_Smith_etal_2022 ver 2. Environmental Data Initiative. https://doi.org/DOI_PLACE_HOLDER (Accessed 2024-12-28).
  • These are the required data to do all analyses in Smith et al. 2022 in Oecologia using the assembled database across gradients. Included are the richness, evenness, and site level abiotic data. Paper abstract: We sought to understand the role that water availability (expressed as an aridity index) plays in determining regional and global patterns of richness and evenness, and in turn how these water availability-diversity relationships may result in different richness-evenness relationships at regional and global scales. We examined relationships between water availability, richness and evenness for eight grassy biomes spanning broad water availability gradients on five continents. Our study found that relationships between richness and water availability switched from positive for drier (South Africa, Tibet and USA) vs. negative for wetter (India) biomes, though were not significant for the remaining biomes. In contrast, only the India biome showed a significant relationship between water availability and evenness, which was negative. Globally, the richness-water availability relationship was hump-shaped, however, not significant for evenness. At the regional scale, a positive richness-evenness relationship was found for grassy biomes in India and Inner Mongolia, China. In contrast, this relationship was weakly concave-up globally. These results suggest that different, independent factors are determining patterns of species richness and evenness in grassy biomes, resulting in differing richness-evenness relationships at regional and global scales. As a consequence, richness and evenness may respond very differently across spatial gradients to anthropogenic changes, such as climate change.

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  • This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data ("Data User" herein) is required to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.
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