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Proyecciones de distribución global de alta resolución de 10 géneros de roedores bajo diversos escenarios de SSP-RCP,
1School of Economics and Management, Beihang University, Beijing, 100191, China.
Scientific data
|August 22, 2025
Resumen
El cambio climático alterará significativamente las distribuciones de roedores a nivel mundial. Este conjunto de datos de alta resolución proyecta las ocurrencias del género de roedores bajo varios escenarios, ayudando a los esfuerzos de conservación y gestión de riesgos.
Área de la Ciencia:
- Ecología
- Biología del cambio climático
- Informática de la biodiversidad
Sus antecedentes:
- Los roedores son mamíferos ecológicamente vitales, que influyen en los ecosistemas, la agricultura y la salud pública.
- Comprender los impactos del cambio climático en la distribución de las especies es fundamental para la conservación y la gestión.
- El modelado predictivo es esencial para anticipar futuros cambios ecológicos.
Objetivo del estudio:
- Presentar GridScopeRodents, un conjunto de datos global de alta resolución de las distribuciones proyectadas del género de roedores.
- Para modelar los cambios en la distribución de roedores de 2021 a 2100 bajo múltiples escenarios de cambio climático.
- Proporcionar un recurso para la investigación en biodiversidad, agricultura y ecología de enfermedades.
Principales métodos:
- Modelado de distribución de especies utilizado (SDM) con el algoritmo de Entropía Máxima (MaxEnt).
- Se utilizaron datos de ocurrencia global para 10 géneros de roedores y variables ambientales.
- Distribuciones proyectadas a una resolución espacial de 1/12° (~10 km) en cuatro escenarios de la vía socioeconómica compartida y la vía de concentración representativa (SSP-RCP).
Principales resultados:
- Proyecciones de distribución global de alta resolución para 10 géneros de roedores.
- Se han incluido proyecciones en cuatro escenarios SSP-RCP (SSP126, SSP245, SSP370, SSP585) y 10 modelos climáticos globales (GCM).
- Datos proporcionados a intervalos de 20 años desde 2021 hasta 2100.
Conclusiones:
- GridScopeRodents ofrece un recurso valioso para estudiar los impactos del cambio climático en las poblaciones de roedores.
- El conjunto de datos apoya la investigación en la conservación de la biodiversidad, las especies invasoras, la sostenibilidad agrícola y la ecología de la enfermedad.
- Los datos disponibles públicamente de GeoTIFF facilitan un amplio acceso científico y su aplicación.
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