| Keyword search (4,163 papers available) | ![]() |
"metacommunity" Keyword-tagged Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | Heterogeneous dispersal networks to improve biodiversity science | Savary P; Lessard JP; Peres-Neto PR; | 37891075 BIOLOGY |
| 2 | Mutualistic coevolution and community diversity favour persistence in metacommunities under environmental changes | Cosmo LG; Sales LP; Guimarães PR; Pires MM; | 36629106 BIOLOGY |
| 3 | Inconsistent response of taxonomic groups to space and environment in mediterranean and tropical pond metacommunities | Gálvez Á; Peres-Neto PR; Castillo-Escrivà A; Bonilla F; Camacho A; García-Roger EM; Iepure S; Miralles-Lorenzo J; Monrós JS; Olmo C; Picazo A; Rojo C; Rueda J; Sahuquillo M; Sasa M; Segura M; Armengol X; Mesquita-Joanes F; | 36199222 BIOLOGY |
| 4 | Beyond neutrality: disentangling the effects of species sorting and spurious correlations in community analysis. | Clappe S, Dray S, Peres-Neto PR | 29723919 BIOLOGY |
| Title: | Heterogeneous dispersal networks to improve biodiversity science | ||||
| Authors: | Savary P, Lessard JP, Peres-Neto PR | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/37891075/ | ||||
| DOI: | 10.1016/j.tree.2023.10.002 | ||||
| Publication: | Trends in ecology & evolution | ||||
| Keywords: | ecological networks; graph theory; metacommunity; spatial ecology; species movement; | ||||
| PMID: | 37891075 | Category: | Date Added: | 2023-10-28 | |
| Dept Affiliation: |
BIOLOGY
1 Department of Biology, Concordia University, 7141 Sherbrooke Street West, Montreal, QC, H4B 1R6, Canada. Electronic address: psavary@protonmail.com. 2 Department of Biology, Concordia University, 7141 Sherbrooke Street West, Montreal, QC, H4B 1R6, Canada. |
||||
Description: |
Dispersal has a key role in shaping spatial patterns of biodiversity, yet its spatial heterogeneity is often overlooked in biodiversity analyses and management strategies. Properly parameterised heterogeneous dispersal networks capture the complex interplay between landscape structure and species-specific dispersal capacities. However, this heterogeneity is recurrently neglected when studying the processes underlying biodiversity variation. To address this gap, we introduce a conceptual framework detailing the fundamental processes driving dispersal heterogeneity and its effects on biodiversity dynamics. We propose methods to parameterise heterogeneous dispersal networks, facilitating their integration into commonly used quantitative frameworks for biodiversity analyses. By considering the architecture of heterogeneous dispersal networks, we demonstrate their critical role in guiding biodiversity management strategies. |



