A mesoscale approach to extinction risk in fragmented habitats
Renato Casagrandi and
Marino Gatto ()
Additional contact information
Renato Casagrandi: Politecnico di Milano
Marino Gatto: Politecnico di Milano
Nature, 1999, vol. 400, issue 6744, 560-562
Abstract:
Abstract Assessing the fate of species endangered by habitat fragmentation1,2,3 using spatially explicit and individual-based models4,5,6,7 can be cumbersome and requires detailed ecological information that is often unavailable. Conversely, Levins-like8 macroscale models9,10 neglect data on the distribution of local numbers, which are frequently collected by field ecologists11,12,13. Here we present an alternative, mesoscale approach for metapopulations that are subject to demographic stochasticity, environmental catastrophes and habitat loss. Starting from a model that accounts for discrete individuals in each patch and assumes a birth–death stochastic process with global dispersal14,15, we use a negative-binomial approximation16 to derive equations for the probability of patch occupancy and the mean and variance of abundance in each occupied patch17. A simple bifurcation analysis18 can be run to assess extinction risk. Comparison with both the original model and a spatially explicit model with local dispersal proves that our approximation is very satisfactory. We determine the sensitivity of metapopulation persistence to patch size, catastrophe frequency and habitat loss, and show that good dispersers are affected more by habitat destruction than by environmental disasters.
Date: 1999
References: Add references at CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
https://www.nature.com/articles/23020 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:400:y:1999:i:6744:d:10.1038_23020
Ordering information: This journal article can be ordered from
https://www.nature.com/
DOI: 10.1038/23020
Access Statistics for this article
Nature is currently edited by Magdalena Skipper
More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().