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Emergent dispersal networks in dynamic wetlandscapes
The connectivity among distributed wetlands is critical for aquatic habitat integrity and to maintain metapopulation biodiversity. Here, we investigated the spatiotemporal fluctuations of wetlandscape connectivity driven by stochastic hydroclimatic forcing, conceptualizing wetlands as dynamic habita...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7477191/ https://www.ncbi.nlm.nih.gov/pubmed/32895428 http://dx.doi.org/10.1038/s41598-020-71739-8 |
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author | Bertassello, Leonardo E. Aubeneau, Antoine F. Botter, Gianluca Jawitz, James W. Rao, P. S. C. |
author_facet | Bertassello, Leonardo E. Aubeneau, Antoine F. Botter, Gianluca Jawitz, James W. Rao, P. S. C. |
author_sort | Bertassello, Leonardo E. |
collection | PubMed |
description | The connectivity among distributed wetlands is critical for aquatic habitat integrity and to maintain metapopulation biodiversity. Here, we investigated the spatiotemporal fluctuations of wetlandscape connectivity driven by stochastic hydroclimatic forcing, conceptualizing wetlands as dynamic habitat nodes in dispersal networks. We hypothesized that spatiotemporal hydrologic variability influences the heterogeneity in wetland attributes (e.g., size and shape distributions) and wetland spatial organization (e.g., gap distances), in turn altering the variance of the dispersal network topology and the patterns of ecological connectivity. We tested our hypotheses by employing a DEM-based, depth-censoring approach to assess the eco-hydrological dynamics in a synthetically generated landscape and three representative wetlandscapes in the United States. Network topology was examined for two end-member connectivity measures: centroid-to-centroid (C2C), and perimeter-to-perimeter (P2P), representing the full range of within-patch habitat preferences. Exponentially tempered Pareto node-degree distributions well described the observed structural connectivity of both types of networks. High wetland clustering and attribute heterogeneity exacerbated the differences between C2C and P2P networks, with Pareto node-degree distributions emerging only for a limited range of P2P configuration. Wetlandscape network topology and dispersal strategies condition species survival and biodiversity. |
format | Online Article Text |
id | pubmed-7477191 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-74771912020-09-08 Emergent dispersal networks in dynamic wetlandscapes Bertassello, Leonardo E. Aubeneau, Antoine F. Botter, Gianluca Jawitz, James W. Rao, P. S. C. Sci Rep Article The connectivity among distributed wetlands is critical for aquatic habitat integrity and to maintain metapopulation biodiversity. Here, we investigated the spatiotemporal fluctuations of wetlandscape connectivity driven by stochastic hydroclimatic forcing, conceptualizing wetlands as dynamic habitat nodes in dispersal networks. We hypothesized that spatiotemporal hydrologic variability influences the heterogeneity in wetland attributes (e.g., size and shape distributions) and wetland spatial organization (e.g., gap distances), in turn altering the variance of the dispersal network topology and the patterns of ecological connectivity. We tested our hypotheses by employing a DEM-based, depth-censoring approach to assess the eco-hydrological dynamics in a synthetically generated landscape and three representative wetlandscapes in the United States. Network topology was examined for two end-member connectivity measures: centroid-to-centroid (C2C), and perimeter-to-perimeter (P2P), representing the full range of within-patch habitat preferences. Exponentially tempered Pareto node-degree distributions well described the observed structural connectivity of both types of networks. High wetland clustering and attribute heterogeneity exacerbated the differences between C2C and P2P networks, with Pareto node-degree distributions emerging only for a limited range of P2P configuration. Wetlandscape network topology and dispersal strategies condition species survival and biodiversity. Nature Publishing Group UK 2020-09-07 /pmc/articles/PMC7477191/ /pubmed/32895428 http://dx.doi.org/10.1038/s41598-020-71739-8 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Bertassello, Leonardo E. Aubeneau, Antoine F. Botter, Gianluca Jawitz, James W. Rao, P. S. C. Emergent dispersal networks in dynamic wetlandscapes |
title | Emergent dispersal networks in dynamic wetlandscapes |
title_full | Emergent dispersal networks in dynamic wetlandscapes |
title_fullStr | Emergent dispersal networks in dynamic wetlandscapes |
title_full_unstemmed | Emergent dispersal networks in dynamic wetlandscapes |
title_short | Emergent dispersal networks in dynamic wetlandscapes |
title_sort | emergent dispersal networks in dynamic wetlandscapes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7477191/ https://www.ncbi.nlm.nih.gov/pubmed/32895428 http://dx.doi.org/10.1038/s41598-020-71739-8 |
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