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|a (JST)23525264
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|a DE-627
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|a eng
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|a NEEL, MAILE C.
|e verfasserin
|4 aut
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1 |
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|a Predicting Recovery Criteria for Threatened and Endangered Plant Species on the Basis of Past Abundances and Biological Traits
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|c 2013
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|a Text
|b txt
|2 rdacontent
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|a Computermedien
|b c
|2 rdamedia
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|a Online-Ressource
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|a Recovery plans for species listed under the U.S. Endangered Species Act are required to specify measurable criteria that can be used to determine when the species can be delisted. For the 642 listed endangered and threatened plant species that have recovery plans, we applied recursive partitioning methods to test whether the number of individuals or populations required for delisting can be predicted on the basis of distributional and biological traits, previous abundance at multiple time steps, or a combination of traits and previous abundances. We also tested listing status (threatened or endangered) and the year the recovery plan was written as predictors of recovery criteria. We analyzed separately recovery criteria that were stated as number of populations and as number of individuals (population-based and individual-based criteria, respectively). Previous abundances alone were relatively good predictors of population-based recovery criteria. Fewer populations, but a greater proportion of historically known populations, were required to delist species that had few populations at listing compared with species that had more populations at listing. Previous abundances were also good predictors of individual-based delisting criteria when models included both abundances and traits. The physiographic division in which the species occur was also a good predictor of individual-based criteria. Our results suggest managers are relying on previous abundances and patterns of decline as guidelines for setting recovery criteria. This may be justifiable in that previous abundances inform managers of the effects of both intrinsic traits and extrinsic threats that interact and determine extinction risk. Los planes de recuperación para especies enlistadas en el Acta de Especies en Peligro de E.U.A. deben especificar criterios medibles que pueden ser utilizados para determinar cuando se puede suprimir de la lista a la especie. Para las 642 especies de plantas enlistadas en peligro o amenazadas y que tienen planes de recuperación, aplicamos métodos de partición recursiva para probar si se podía predecir el número de individuos o poblaciones que se requieren para suprimir de la lista a la especie con base en atributos de la distribución y biológicos, en la abundancia previa en múltiples frecuencias temporales, o en una combinación de atributos y abundancias previas. También probamos como predictores de criterios de recuperación al estatus en la lista (amenazada o en peligro) y el año en que se escribió el plan de recuperación. Analizamos por separado los criterios de recuperación definidos como número de poblaciones y como número de individuos (criterios basados en poblaciones y basados en individuos, respectivamente). Las abundancias previas por sí solas fueron predictores relativamente buenos de criterios de recuperación basados en poblaciones. Se requirieron menos poblaciones, pero una mayor proporción de poblaciones conocidas históricamente, para suprimir de la lista a especies que tenían pocas poblaciones cuando fueron enlistadas en comparación con especies que tenían más poblaciones al ser enlistadas. Las abundancias previas también fueron buenos predictores de criterios basados en individuos cuando los modelos incluyeron tanto abundancias como atributos. La división fisiográfica en la que ocurren las especies también fue un buen predictor de criterios basados en individuos. Nuestros resultados sugieren que los manejadores están confiando en abundancias previas y patrones de declinación como lineamientos para definir criterios de recuperación. Esto puede ser justificable debido a las abundancias previas informan a los manejadores sobre los efectos tanto de atributos intrínsecos como de las amenazas extrínsecas que interactúan para determinar el riesgo de extinción.
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|a © 2013 Society for Conservation Biology
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650 |
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4 |
|a Biological sciences
|x Biology
|x Biological taxonomies
|x Species
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650 |
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4 |
|a Biological sciences
|x Wildlife studies
|x Wildlife management
|x Wildlife conservation
|x Endangered species
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650 |
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4 |
|a Biological sciences
|x Ecology
|x Species extinction
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650 |
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4 |
|a Biological sciences
|x Biology
|x Zoology
|x Animals
|x Extinct species
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650 |
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4 |
|a Biological sciences
|x Biology
|x Conservation biology
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650 |
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4 |
|a Biological sciences
|x Biology
|x Botany
|x Plants
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650 |
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4 |
|a Physical sciences
|x Earth sciences
|x Geography
|x Geomorphology
|x Topography
|x Lowlands
|x Plains
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650 |
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4 |
|a Applied sciences
|x Research methods
|x Modeling
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650 |
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4 |
|a Social sciences
|x Population studies
|x Population characteristics
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650 |
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4 |
|a Biological sciences
|x Wildlife studies
|x Wildlife management
|x Wildlife conservation
|x Threatened species
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655 |
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4 |
|a research-article
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700 |
1 |
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|a CHE-CASTALDO, JUDY P.
|e verfasserin
|4 aut
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773 |
0 |
8 |
|i Enthalten in
|t Conservation Biology
|d Blackwell Science, 1987
|g 27(2013), 2, Seite 385-397
|w (DE-627)320599957
|w (DE-600)2020041-9
|x 15231739
|7 nnns
|
773 |
1 |
8 |
|g volume:27
|g year:2013
|g number:2
|g pages:385-397
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4 |
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|u https://www.jstor.org/stable/23525264
|3 Volltext
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|d 27
|j 2013
|e 2
|h 385-397
|