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|Title: ||Thinking outside the patch: a multi-species comparison of conceptual models from real-world landscapes|
|Authors: ||Salgueiro, Pedro|
Rabaça, João Eduardo
|Keywords: ||Mosaic landscapr|
|Issue Date: ||2018|
|Publisher: ||Springer -Landscape Ecology|
|Citation: ||Salgueiro, P.A.; Mira. A.; Rabaça, J.E.; Silva, C.; Eufrázio, S.; Medinas, D.; Manghi, G.; Silva, B.; Santos, S.M. 2018. Thinking outside the patch: a multi-species comparison of conceptual models from real-world landscapes. Landscape Ecology, 33:353-370.|
|Abstract: ||Context: When modeling a species’ distribution, landscapes can alternatively be conceptualized following patch- or gradient-based approaches. However,
choosing the most suitable conceptualization is difficult and methods for empirical validation are still lacking. Objectives: To address the conditions under which a
given conceptual model is more suitable, taking into account landscape context and species trait dependency effects. Patch- and gradient-based conceptualizations
were built based on two structurally
different landscapes: variegated and mosaic. We hypothesize that: (H1) gradient-based models better describe variegated landscapes while patch-based models perform better in mosaic landscapes; and (H2) gradient-based models will fit generalist species
better while patch-based models will suit specialists better.
Methods: We modeled the distribution of eleven bird species in each landscape using each conceptualization. We determined the suitability of each conceptual model to fit statistical models by looking for cross- species responses and deviations from best models.
Results: We found no clear support for our hypotheses. Although patch-based models performed better in mosaic landscapes (H1), they also provided useful conceptualizations in variegated landscapes. However, when patches showed high heterogeneity, gradient-
based approaches better fit specialist species (H2).
Conclusions: The suitability of a given conceptual model depends on the interaction between species habitat specialization, and the intrinsic spatial heterogeneity
of the landscape and the ability of each
conceptualization to capture it. Gradient-based models provide better information on resource allocation, while patch-based models offer a simplified perspective
on landscape attributes. Future research should consider the nature of both species and landscapes in order to avoid bias from inadequate landscape conceptualizations.|
|Appears in Collections:||ICAAM - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica|
BIO - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
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