Landscape - level impact of tropical forest loss and fragmentation on bird occurrence in eastern Guatemala

Tropical forest destruction and fragmentation of habitat patches may reduce population persistence at the landscape level. Given the complex nature of simultaneously evaluating the effects of these factors on biotic populations, statistical presence/absence modelling has become an important tool in...

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Detalles Bibliográficos
Autor principal: Cerezo, Alexis
Otros Autores: Perelman, Susana Beatríz, Robbins, Chandler S.
Formato: Artículo
Lenguaje:Inglés
Materias:
AIC
AUTOLOGISTIC REGRESSION
HABITAT FRAGMENTATION
HABITAT LOSS
LANDSCAPE COHERENCE
SCALE
COMPLEX NATURE
CONSERVATION BIOLOGY
FOREST LOSS
GUATEMALA
HABITAT PATCHES
LANDSCAPE LEVEL
LANDSCAPE SCALE
LOGISTIC REGRESSION MODELS
LOGISTIC REGRESSIONS
M-SCALE
PREDICTIVE ACCURACY
PREDICTIVE VARIABLES
PRESENCE/ABSENCE
TARGET SPECIES
TROPICAL FOREST
BIOLOGY
CONSERVATION
POPULATION STATISTICS
REGRESSION ANALYSIS
TROPICS
ECOLOGY
AKAIKE INFORMATION CRITERION
BIRD
DISPERSAL
FOREST COVER
HABITAT CONSERVATION
LANDSCAPE CHANGE
GUATEMALA [CENTRAL AMERICA]
AVES
Acceso en línea:http://ri.agro.uba.ar/files/intranet/articulo/2010Cerezo.pdf
LINK AL EDITOR
Aporte de:Registro referencial: Solicitar el recurso aquí
Biblioteca Central (FAUBA) de Universidad de Buenos Aires
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245 0 0 |a Landscape - level impact of tropical forest loss and fragmentation on bird occurrence in eastern Guatemala 
520 |a Tropical forest destruction and fragmentation of habitat patches may reduce population persistence at the landscape level. Given the complex nature of simultaneously evaluating the effects of these factors on biotic populations, statistical presence/absence modelling has become an important tool in conservation biology. This study uses logistic regression to evaluate the independent effects of tropical forest cover and fragmentation on bird occurrence in eastern Guatemala. Logistic regression models were constructed for 10 species with varying response to habitat alteration. Predictive variables quantified forest cover, fragmentation and their interaction at three different radii [200, 500 and 1000 m scales] of 112 points where presence of target species was determined. Most species elicited a response to the 1000 m scale, which was greater than most species' reported territory size. Thus, their presence at the landscape scale is probably regulated by extra-territorial phenomena, such as dispersal. Although proportion of forest cover was the most important predictor of species' presence, there was strong evidence of area-independent and -dependent fragmentation effects on species presence, results that contrast with other studies from northernmost latitudes. Species' habitat breadth was positively correlated with AIC model values, indicating a better fit for species more restricted to tropical forest. Species with a narrower habitat breadth also elicited stronger negative responses to forest loss. Habitat breadth is thus a simple measure that can be directly related to species' vulnerability to landscape modification. Model predictive accuracy was acceptable for 4 of 10 species, which were in turn those with narrower habitat breadths. 
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773 |t Ecological Modelling  |g Vol.221, no.3 (2010), p.512-526 
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900 |a ^aCerezo, A.^tDepartment of Quantitative Methods and Information Systems, Faculty of Agronomy, University of Buenos Aires, Av. San Martín 4453, 1417 Buenos Aires, Argentina 
900 |a ^aPerelman, S.^tFoundation for Ecodevelopment and Conservation [FUNDAECO], 25 calle, 2-39, C.P. 0101, Guatemala City, Guatemala 
900 |a ^aRobbins, C.S.^tPatuxent Wildlife Research Center, Biological Resources Division, United States Geological Survey, 11 410 American Holly Drive, Laurel, MD 20 708-4015, United States 
900 |a ^tIFEVA, Institute for Agricultural Plant Physiology and Ecology Research, UBA-CONICET, Argentina 
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