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No. de sistema: 000006748

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040 _ _ a| ECO
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245 0 0 a| Using a novel model approach to assess the distribution and conservation status of the endangered Baird’s tapir
506 _ _ a| Acceso electrónico sólo para usuarios de ECOSUR
520 1 _ a| Aim: We test a new species distribution modelling (SDM) framework, while comparing results to more common distribution modelling techniques. This framework allows for the combination of presence-only (PO) and presence-absence (PA) data and accounts for imperfect detection and spatial bias in presence data. The new framework tested here is based on a Poisson point process model, which allows for predictions of population size. We compared these estimates to those provided by experts on the species. Species and Location: Presence data on Baird’s tapir (Tapirus bairdii) throughout its range from southern México to northern Colombia were used in this research, primarily from the years 2000 to 2016. Methods: Four SDM frameworks are compared as follows: (1) Maxent, (2) a presence-only (PO) SDM based on a Poisson point process model (PPM), (3) a presence-absence (PA) SDM also based on a PPM and (4) an Integrated framework which combines the previous two models. Model averaging was used to produce a single set of coefficient estimates and predictive maps for each model framework. A hotspot analysis (Gi*) was used to identify habitat cores from the predicted intensity of the Integrated model framework. Results: Important variables to model the distribution of Baird’s tapir included land cover, human pressure and topography. Accounting for spatial bias in the presence data affected which variables were important in the model. Maxent and the Integrated model produced predictive maps with similar patterns and were considered to be more in agreement with expert knowledge compared to the PO and PA models.
520 1 _ a| Main conclusions: Total abundance as predicted by the model was higher than expert opinion on the species, but local density estimates from our model were similar to available independent assessments. We suggest that these results warrant further validation and testing through collection of independent test data, development of more precise predictor layers and improvements to the model framework.
538 _ _ a| Adobe Acrobat profesional 6.0 o superior
650 _ 4 a| Tapirus bairdii
650 _ 4 a| Modelos de distribución de especies
650 _ 4 a| Hábitat (Ecología)
650 _ 4 a| Distribución de la población
651 _ 4 a| Veracruz de Ignacio de la Llave (México)
651 _ 4 a| Oaxaca (México)
651 _ 4 a| Chocó (Colombia)
700 1 _ a| Schank, Cody J.
700 1 _ a| Cove, Michael V.
e| coaut.
700 1 _ a| Kelly, Marcella J.
e| coaut.
700 1 _ a| Mendoza Ramírez, Eduardo
e| coaut.
700 1 _ a| O´Farril Cruz, Elsa Georgina
c| Dr.
e| coaut.
700 1 _ a| Reyna Hurtado, Rafael Ángel
e| coaut.
700 1 _ a| Meyer, Ninon France Victoire
c| Doctora
e| coaut.
700 1 _ a| Jordan, Christopher A.
e| coaut.
700 1 _ a| González Maya, José F.
e| coaut.
700 1 _ a| Lizcano, Diego J.
e| coaut.
n| 18040542200
700 1 _ a| Moreno, Ricardo
e| coaut.
700 1 _ a| Dobbins, Michael T.
e| coaut.
700 1 _ a| Montalvo, Víctor
e| coaut.
700 1 _ a| Sáenz Bolaños, Carolina
e| coaut.
700 1 _ a| Carillo Jiménez, Eduardo
e| coaut.
700 1 _ a| Estrada, Nereyda
e| coaut.
700 1 _ a| Cruz Díaz, Juan Carlos
e| coaut.
700 1 _ a| Sáenz, Joel
e| coaut.
700 1 _ a| Spínola, Manuel
e| coaut.
700 1 _ a| Carver, Andrew
e| coaut.
700 1 _ a| Fort, Jessica
e| coaut.
700 1 _ a| Nielsen, Clayton K.
e| coaut.
700 1 _ a| Botello, Francisco
e| coaut.
700 1 _ a| Pozo Montuy, Gilberto
e| coaut.
700 1 _ a| Rivero Hernández, Crysia Marina
e| coaut.
n| 57194556350
700 1 _ a| De la Torre, José Antonio
e| coaut.
700 1 _ a| Brenes Mora, Esteban
e| coaut.
700 1 _ a| Godínez Gómez, Oscar
e| coaut.
700 1 _ a| Wood, Margot A.
e| coaut.
700 1 _ a| Gilbert, Jessica
e| coaut.
700 1 _ a| Miller, Jennifer A.
e| coaut.
773 0 _
t| Diversity and Distributions
g| Vol. 23, no. 12 (December 2017), p. 1459–1471
x| 1809-127X
900 _ _ a| Solicítelo con su bibliotecario/a
901 _ _ a| Artículo con arbitraje
905 _ _ a| Artecosur
905 _ _ a| Biblioelectrónica
906 _ _ a| Producción Académica ECOSUR
LNG eng
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*Solicítelo con su bibliotecario/a
Using a novel model approach to assess the distribution and conservation status of the endangered Baird’s tapir
Schank, Cody J. (autor)
Cove, Michael V. (autor)
Kelly, Marcella J. (autor)
Mendoza Ramírez, Eduardo (autor)
O´Farril Cruz, Elsa Georgina (autor)
Reyna Hurtado, Rafael Ángel (autor)
Meyer, Ninon France Victoire (autor)
Jordan, Christopher A. (autor)
González Maya, José F. (autor)
Lizcano, Diego J. (autor)
Moreno, Ricardo (autor)
Dobbins, Michael T. (autor)
Montalvo, Víctor (autor)
Sáenz Bolaños, Carolina (autor)
Carillo Jiménez, Eduardo (autor)
Estrada, Nereyda (autor)
Cruz Díaz, Juan Carlos (autor)
Sáenz, Joel (autor)
Spínola, Manuel (autor)
Carver, Andrew (autor)
Fort, Jessica (autor)
Nielsen, Clayton K. (autor)
Botello, Francisco (autor)
Pozo Montuy, Gilberto (autor)
Rivero Hernández, Crysia Marina (autor)
De la Torre, José Antonio (autor)
Brenes Mora, Esteban (autor)
Godínez Gómez, Oscar (autor)
Wood, Margot A. (autor)
Gilbert, Jessica (autor)
Miller, Jennifer A. (autor)
Nota: Acceso electrónico sólo para usuarios de ECOSUR
Contenido en: Diversity and Distributions. Vol. 23, no. 12 (December 2017), p. 1459–1471. ISSN: 1809-127X
No. de sistema: 6748
Tipo: - Artículo con arbitraje
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Inglés

"Aim: We test a new species distribution modelling (SDM) framework, while comparing results to more common distribution modelling techniques. This framework allows for the combination of presence-only (PO) and presence-absence (PA) data and accounts for imperfect detection and spatial bias in presence data. The new framework tested here is based on a Poisson point process model, which allows for predictions of population size. We compared these estimates to those provided by experts on the species. Species and Location: Presence data on Baird’s tapir (Tapirus bairdii) throughout its range from southern México to northern Colombia were used in this research, primarily from the years 2000 to 2016. Methods: Four SDM frameworks are compared as follows: (1) Maxent, (2) a presence-only (PO) SDM based on a Poisson point process model (PPM), (3) a presence-absence (PA) SDM also based on a PPM and (4) an Integrated framework which combines the previous two models. Model averaging was used to produce a single set of coefficient estimates and predictive maps for each model framework. A hotspot analysis (Gi*) was used to identify habitat cores from the predicted intensity of the Integrated model framework. Results: Important variables to model the distribution of Baird’s tapir included land cover, human pressure and topography. Accounting for spatial bias in the presence data affected which variables were important in the model. Maxent and the Integrated model produced predictive maps with similar patterns and were considered to be more in agreement with expert knowledge compared to the PO and PA models."

"Main conclusions: Total abundance as predicted by the model was higher than expert opinion on the species, but local density estimates from our model were similar to available independent assessments. We suggest that these results warrant further validation and testing through collection of independent test data, development of more precise predictor layers and improvements to the model framework."


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