Avoiding Pitfalls of Using Species-Distribution Models in Conservation Planning

作者: BETTE A. LOISELLE , CHRISTINE A. HOWELL , CATHERINE H. GRAHAM , JAQUELINE M. GOERCK , THOMAS BROOKS

DOI: 10.1111/J.1523-1739.2003.00233.X

关键词: GeographyConservation planningHumanitiesSpecies distribution

摘要: : Museum records have great potential to provide valuable insights into the vulnerability, historic distribution, and conservation of species, especially when coupled with species-distribution models used predict species' ranges. Yet, increasing dependence on in identifying priorities calls for a more critical evaluation model robustness. We 11 bird species concern Brazil's highly fragmented Atlantic Forest data environmental conditions region distributions. These predictions were repeated five different types each species. then combined these distributions separately applied reserve-selection algorithm identify priority sites. compared outcomes from reserve selection among models. Although similarity identification networks occurred models, differed markedly geographic scope flexibility networks. It is essential planners evaluate implications false-positive false-negative errors their specific management scenario before beginning modeling process. Reserve selected by that minimized provided better match areas identified specialists. Thus, we urge caution use overestimate occurrences because they may misdirect action. Our approach further demonstrates value museum biodiversity studies utility decision-making. results also demonstrate, however, must be critically cautiously. Resumen: Los registros de museos tienen un gran valor potencial al proporcionar entendimiento sobre la vulnerabilidad, distribucion historica y conservacion especies, especialmente cuando se combinan con modelos especies utilizados para predecir los rangos las especies. No obstante, mayor dependencia identificacion prioridades requiere una evaluacion critica robustez del modelo. Utilizamos aves interes en el muy fragmentado Bosque Atlantico Brasil asi como datos condiciones ambientales Estas predicciones fueron repetidas cinco tipos diferentes cada aves. Luego combinamos estas distribuciones modelo por separado aplicamos algoritmo seleccion reservas identificar sitios prioritarios. Comparamos resultados potenciales entre modelos. Aunque hubo similitud redes reservas, difirieron marcadamente alcance geografico flexibilidad reservas. Es importancia fundamental planificadores evaluar implicaciones errores falsos positivos negativos su escenario manejo especifico antes comenzar proceso modelado. Las seleccionadas que minimizaron proporcionaron mejor correspondencia prioritarias identificadas especialistas. Por lo tanto, instamos tener precaucion uso sobreestiman ocurrencia porque pueden desviar acciones conservacion. Nuestro metodo demuestra ademas estudios biodiversidad utilidad toma decisiones Sin embargo, nuestros demuestran estos deben ser aplicados cuidadosamente.

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