Cerrar

No. de sistema: 000059854

LDR _ _ 00000nab^^22^^^^^za^4500
008 _ _ 200217m20199999xx^^r^p^o^^^^z0^^^a0eng^d
040 _ _ a| ECO
c| ECO
044 _ _ a| xx
245 0 0 a| A sensitivity analysis of the application of integrated species distribution models to mobile species
b| a case study with the endangered baird’s tapir
506 _ _ a| Disponible para usuarios de ECOSUR con su clave de acceso
520 1 _ a| Species distribution models (SDMs) are statistical tools used to develop continuous predictions of species occurrence. ‘Integrated SDMs’ (ISDMs) are an elaboration of this approach with potential advantages that allow for the dual use of opportunistically collected presence-only data and site-occupancy data from planned surveys. These models also account for survey bias and imperfect detection through the use of a hierarchical modelling framework that separately estimates the species–environment response and detection process. This is particularly helpful for conservation applications and predictions for rare species, where data are often limited and prediction errors may have significant management consequences. Despite this potential importance, ISDMs remain largely untested under a variety of scenarios. We performed an exploration of key modelling decisions and assumptions on an ISDM using the endangered Baird’s tapir (Tapirus bairdii) as a test species. We found that site area had the strongest effect on the magnitude of population estimates and underlying intensity surface and was driven by estimates of model intercepts. Selecting a site area that accounted for the individual movements of the species within an average home range led to population estimates that coincided with expert estimates. ISDMs that do not account for the individual movements of species will likely lead to less accurate estimates of species intensity (number of individuals per unit area) and thus overall population estimates.
520 1 _ a| This bias could be severe and highly detrimental to conservation actions if uninformed ISDMs are used to estimate global populations of threatened and data-deficient species, particularly those that lack natural history and movement information. However, the ISDM was consistently the most accurate model compared to other approaches, which demonstrates the importance of this new modelling framework and the ability to combine opportunistic data with systematic survey data. Thus, we recommend researchers use ISDMs with conservative movement information when estimating population sizes of rare and data-deficient species. ISDMs could be improved by using a similar parameterization to spatial capture–recapture models that explicitly incorporate animal movement as a model parameter, which would further remove the need for spatial subsampling prior to implementation.
533 _ _ a| Reproducción electrónica en formato PDF
538 _ _ a| Adobe Acrobat profesional 6.0 o superior
650 _ 4 a| Tapirus bairdii
650 _ 4 a| Tapires
650 _ 4 a| Especies en peligro de extinción
650 _ 4 a| Modelos de distribución de especies
650 _ 4 a| Distribución de la población
650 _ 4 a| Modelos de captura- recaptura espacialmente explicitos
650 _ 4 a| Conservación de la vida silvestre
700 1 _ a| Schank, Cody J.
e| autor
700 1 _ a| Cove, Michael V.
e| autor
700 1 _ a| Kelly, Marcella J.
e| autora
700 1 _ a| Nielsen, Clayton K.
e| autor
700 1 _ a| O´Farril Cruz, Elsa Georgina
c| Dr.
e| autora
700 1 _ a| Meyer, Ninon France Victoire
c| Doctora
e| autora
700 1 _ a| Jordan, Christopher A.
e| autor
700 1 _ a| González Maya, José F.
e| autor
700 1 _ a| Lizcano, Diego J.
e| autor
n| 18040542200
700 1 _ a| Moreno, Ricardo
e| autor
700 1 _ a| Dobbins, Michael
e| autor
700 1 _ a| Montalvo, Víctor
e| autor
700 1 _ a| Cruz Díaz, Juan Carlos
e| autor
700 1 _ a| Pozo Montuy, Gilberto
e| autor
700 1 _ a| Torre, J. Antonio de la
e| autor
700 1 _ a| Brenes Mora, Esteban
e| autor
700 1 _ a| Wood, Margot A.
e| autor
700 1 _ a| Gilbert, Jessica
e| autora
700 1 _ a| Jetz, Walter
e| autor
700 1 _ a| Miller, Jennifer A.
e| autora
773 0 _
t| Environmental Conservation
g| Vol. 46, no. 3 (2019), p. 184–192
x| 1469-4387
900 _ _ a| Solicítelo con su bibliotecario/a
902 _ _ a| BG / GOG
904 _ _ a| Febrero 2020
905 _ _ a| Artecosur
905 _ _ a| Biblioelectrónica
LNG eng
Cerrar
PDF


Inglés

"Species distribution models (SDMs) are statistical tools used to develop continuous predictions of species occurrence. ‘Integrated SDMs’ (ISDMs) are an elaboration of this approach with potential advantages that allow for the dual use of opportunistically collected presence-only data and site-occupancy data from planned surveys. These models also account for survey bias and imperfect detection through the use of a hierarchical modelling framework that separately estimates the species–environment response and detection process. This is particularly helpful for conservation applications and predictions for rare species, where data are often limited and prediction errors may have significant management consequences. Despite this potential importance, ISDMs remain largely untested under a variety of scenarios. We performed an exploration of key modelling decisions and assumptions on an ISDM using the endangered Baird’s tapir (Tapirus bairdii) as a test species. We found that site area had the strongest effect on the magnitude of population estimates and underlying intensity surface and was driven by estimates of model intercepts. Selecting a site area that accounted for the individual movements of the species within an average home range led to population estimates that coincided with expert estimates. ISDMs that do not account for the individual movements of species will likely lead to less accurate estimates of species intensity (number of individuals per unit area) and thus overall population estimates."

"This bias could be severe and highly detrimental to conservation actions if uninformed ISDMs are used to estimate global populations of threatened and data-deficient species, particularly those that lack natural history and movement information. However, the ISDM was consistently the most accurate model compared to other approaches, which demonstrates the importance of this new modelling framework and the ability to combine opportunistic data with systematic survey data. Thus, we recommend researchers use ISDMs with conservative movement information when estimating population sizes of rare and data-deficient species. ISDMs could be improved by using a similar parameterization to spatial capture–recapture models that explicitly incorporate animal movement as a model parameter, which would further remove the need for spatial subsampling prior to implementation."


  • Adobe Acrobat profesional 6.0 o superior