This data package was submitted to a staging environment for testing purposes only. Use of these data for anything other than testing is strongly discouraged.

Data Package Summary    View Full Metadata

  • The distance dependence prediction of the Janzen-Connell hypothesis: a meta-analysis
  • Hyatt, Laura A.; Department of Ecology and Evolutionary Biology, Stony Brook University, Stony Brook, NY, USA
    Rosenberg, Michael S.; Department of Ecology and Evolutionary Biology, Stony Brook University, Stony Brook, NY, USA
    Howard, Timothy G.; Department of Ecology and Evolutionary Biology, Stony Brook University, Stony Brook, NY, USA
    Bole, Gregory; Department of Ecology and Evolutionary Biology, Stony Brook University, Stony Brook, NY, USA
    Fang, Wei; City University of New York-Queens College, New York City, NY, USA
    Anastasia, Jean; Department of Ecology and Evolutionary Biology, Stony Brook University, Stony Brook, NY, USA
    Brown, Kerry; Department of Ecology and Evolutionary Biology, Stony Brook University, Stony Brook, NY, USA
    Grella, Rebecca; Department of Ecology and Evolutionary Biology, Stony Brook University, Stony Brook, NY, USA
    Hinman, Katharine; Department of Ecology and Evolutionary Biology, Stony Brook University, Stony Brook, NY, USA
    Kurdziel, Josepha P.; Department of Ecology and Evolutionary Biology, Stony Brook University, Stony Brook, NY, USA
    Gurevitch, Jessica; Department of Ecology and Evolutionary Biology, Stony Brook University, Stony Brook, NY, USA
  • 2020-06-17
  • Hyatt, L.A., M.S. Rosenberg, T.G. Howard, G. Bole, W. Fang, J. Anastasia, K. Brown, R. Grella, K. Hinman, J.P. Kurdziel, and J. Gurevitch. 2020. The distance dependence prediction of the Janzen-Connell hypothesis: a meta-analysis ver 1. Environmental Data Initiative. https://doi.org/DOI_PLACE_HOLDER (Accessed 2024-12-27).
  • The Janzen‐Connell hypothesis explains the maintenance of tropical diversity through the interacting effects of parent‐centered dispersal patterns and distance‐ and density‐dependent propagule survival. These effects were thought to support regular spacing of species within tropical forest, enhancing diversity. One of the predictions of the hypothesis is that seed and seedling survival should improve with increased parental distance, due to reduced predation with increased parental distance. Although there are many independent tests of this hypothesis for individual species, there are few synthetic studies that have brought these data together to test its validity across species. Therefore, this data set was created as a part of a meta‐analysis of the effect of distance on enhancing propagule survival. It contains the results of 40 experimental studies which tested the above-mentioned distance dependent prediction of the Janzen-Connell hypothesis, by examining spatial patterns of seed and seedling predation.

  • N: 80.0      S: -80.0      E: 180.0      W: -180.0
  • edi.542.1  (Uploaded 2020-06-17)  
  • 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.
  • DOI PLACE HOLDER
  • Analyze this data package using:           

EDI is a collaboration between the University of New Mexico and the University of Wisconsin – Madison, Center for Limnology:

UNM logo UW-M logo