Predicting the occurrence of endangered species in fragmented landscapes

Reliable prediction of metapopulation persistence in fragmented landscapes has become a priority in conservation biology, with ongoing destruction of habitat confining increasing numbers of species into networks of small patches. A spatially realistic metapopulation model, which includes the first-o...

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Bibliographic Details
Published in:Science (American Association for the Advancement of Science) 1996-09, Vol.273 (5281), p.1536-1538
Main Authors: Wahlberg, N. (University of Helsinki, Helsinki, Finland.), Moilanen, A, Hanski, I
Format: Article
Language:English
Subjects:
Animal populations
Animal, plant and microbial ecology
Applied ecology
Biodiversity conservation
Biological and medical sciences
Biological diversity conservation
Butterflies
Butterflies & moths
Conservation (Concept)
Conservation biology
Conservation, protection and management of environment and wildlife
DENSIDAD DE LA POBLACION
DENSITE DE POPULATION
ECOSISTEMA
ECOSYSTEME
Endangered & extinct species
Endangered species
ESPECE
ESPECE EN DANGER
ESPECIES
ESPECIES EN PELIGRO DE EXTINCION
Fundamental and applied biological sciences. Psychology
HABITAT
Habitat conservation
Habitat destruction
Land Settlement
LEPIDOPTERA
Mathematical independent variables
Metapopulation ecology
MODELE
Modeling
MODELOS
Networks
Parametric models
Parks, reserves, wildlife conservation. Endangered species: population survey and restocking
Population biology
Predictions
Spatial models
TECHNIQUE DE PREVISION
TECNICAS DE PREDICCION
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Description
Summary:Reliable prediction of metapopulation persistence in fragmented landscapes has become a priority in conservation biology, with ongoing destruction of habitat confining increasing numbers of species into networks of small patches. A spatially realistic metapopulation model, which includes the first-order effects of patch area and isolation on extinction and colonization, has been tested. The distribution of an endangered butterfly was successfully predicted on the basis of parameter values estimated for a well-studied congeneric species. This modeling approach can be a practical tool in the study and conservation of species in highly fragmented landscapes
ISSN:0036-8075
1095-9203
DOI:10.1126/science.273.5281.1536