The role of behavior in recent avian extinctions and endangerments

作者: J. Michael Reed

DOI: 10.1046/J.1523-1739.1999.013002232.X

关键词:

摘要: : Understanding patterns of differential extinction and predicting the relative risks among extant species are most important problems in conservation biology. Although recent studies reveal that behavior can be a critical component many species’ extinctions or endangerments, current approaches to problem largely ignore behavior. I reviewed how affect population persistence then used avian endangerments illustrate behaviors relevant risk. Behaviors grouped as aggregation, interspecific responses, dispersal, habitat selection, intraspecific behavior, maladaptive Behavior risk is not limited birds; for example, taxonomic groups (vertebrate invertebrate) there evidence socially facilitated reproduction colonial species, Allee effects on reproductive success survival, behavioral regulation size, conspecific attraction breeding sites. Incorporating specific into models probabilities should improve their predictions. Resumen: El entendimiento de los patrones extincion diferencial y la prediccion riesgos relativos entre especies existentes se encuentran problemas mas importantes en biologia conservacion. A pesar que recientes estudios revelan conducta puede ser un componente critico muchas extinciones o procesos amenaza especies, las aproximaciones actuales ignoran grandemente conducta. Revise como afectar persitencia poblacional posteriormente use aves para ilustrar conductas relevantes extincion. Las afectan persistencia pueden agrupados agregacion, respuestas interespecificas, dispersion, seleccion habitat, intraespecifica conducats maladaptivas. no estan limitadas aves, por ejemplo, muchos grupos taxonomicos (vertebrados e invertebrados) existe evidencia reproduccion socialmente facilitada coloniales, efectos el exito reproductivo supervivencia, regulacion conductual del tamano atraccion coespecifica hacia sitios reproduccion. La incorporacion especificas modelos probabilidades prodria mejorar predicciones estos modelos.

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