Landscape connectivity modeling from the perspective of animal dispersal
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Data
2020
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Resumo
Context
Dispersal plays a key role in linking populations, habitat (re)-colonization, and species range expansion. As fragmentation and habitat loss are ubiquitous threats and can disrupt dispersal, landscape connectivity modeling has become a valuable tool in conservation planning.
Objectives
We provide an overview of how current connectivity modeling has incorporated the different aspects of animal dispersal. We describe the most popular connectivity models and highlight their main assumptions related to dispersal, suggesting a series of questions that could clarify the advantages and disadvantages of using a particular approach.
Methods
We review the structure of the connectivity models based on least-cost analysis, circuit theory, and the individual-based dispersal models. We use some studies as case examples to discuss how important elements of animal dispersal were considered through models to predict movement routes.
Results
Ongoing developments in connectivity modeling have made it possible to represent animal dispersal in a more realistic way by implementing key elements such as dispersal behaviors, mortality, and inter-individual variability. However, the potential to consider such elements and how this is done in connectivity modeling depends on the selected approach, since each model represents animal dispersal through a different perspective.
Conclusions
We recommend that the choice of a connectivity model should be made after considering the study objectives, the species dispersal mechanism, and the prior knowledge available about it. By understanding and incorporating dispersal behavior into connectivity modeling, we can improve our capacity to generate useful information aimed to construct more effective conservation strategies.
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Palavras-chave
Circuit theory, Dispersal movement, Least-cost path analysis, Resistant kernels, Individual-based models, Resistance surface
Citação
DINIZ, Milena F. et al. Landscape connectivity modeling from the perspective of animal dispersal. Landscape Ecology, Berlin, v. 35, p. 41-58, 2020. DOI: 10.1007/s10980-019-00935-3. Disponível em: https://link.springer.com/article/10.1007/s10980-019-00935-3. Acesso em: 25 jul. 2023.