Patterns in Wildlife–Vegetation Association Matrices

Williams, Byron K.; Mahabir, Sean P.; Schlagel, Joel; Capen, David E.

doi:10.1006/jema.1997.0132

Cited by 4 publications

(2 citation statements)

References 13 publications

(17 reference statements)

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“…Entre estos últimos, las asociaciones con la vegetación han demostrado ser particularmente importantes (Coulson 1993, Williams et al 1997, Sanders & Edge 1998. De igual manera, la importancia de la estructura del hábitat en reptiles y anfibios en varios ambientes y a diferentes escalas ha sido determinada (e.g.…”

Section: Secas Lluvias Ambasunclassified

Estacionalidad y estructura de la vegetación en la comunidad de anfibios y reptiles de Chamela, Jalisco, México

García

Cabrera-Reyes

2008

AZM

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RESUMENSe evaluó el efecto de la estacionalidad ambiental y la estructura de la vegetación en los patrones espacio-temporales de la comunidad (composición, diversidad, riqueza y abundancia relativa) de los anfibios y reptiles de la región de Chamela, Jalisco. Tres sitios fueron muestreados, mediante un diseño de bloque dentro de una matriz de vegetación de arroyo (VA) y bosque tropical caducifolio (BTC) utilizando tres técnicas complementarias de muestreo (trampeo; parcelas de búsqueda intensiva y transectos visuales) durante la época de secas y de lluvias. Se registraron 34 especies (25 de reptiles y nueve de anfibios). Las curvas de acumulación de especies y los índices predictores de riqueza, sugieren que el esfuerzo de muestreo fue el adecuado. Los valores más altos de riqueza, diversidad y abundancia se registraron en la VA. Se registraron mayores fluctuaciones estacionales en anfibios que en reptiles, y en el BTC que en la VA. Se documenta un recambio de especies, tanto espacial (matriz de vegetación VA-BTC) como temporal (estacional), más marcado en anfibios cuyo registro de individuos fue mínimo durante la época de secas y solo dentro de la VA. La VA es importante para el mantenimiento de la diversidad herpetofaunística, no sólo por su menor estacionalidad y mayor productividad, sino por su mayor complejidad estructural. Se encontró una mayor respuesta de los anfibios hacia los cambios en la estructura de la vegetación que los reptiles, los cuales estuvieron más ampliamente distribuidos espacial y temporalmente. Palabras clave: bosque tropical caducifolio; herpetofauna; estacionalidad ambiental; vegetación; estructura de la comunidad ABSTRACT The effect of effect of environmental seasonality and habitat structure on the spatial and temporal patterns of the reptile and amphibian communities in Chamela, Jalisco, Mexico was evaluated. Three complementary sampling techniques (plots, visual transects and sampling arrays with drift fences and pitfall traps) were used in three sites during the wet and dry seasons using a block design to sample the seasonally dry tropical forest (SDTF) and its adjacent arroyo forest (VA). Thirty-four species were recorded (25 of reptiles and 9 of amphibians). The species accumulation curves and richness predictors suggested sampling effort was appropriated. Highest values of species richness, diversity and relative abundance were recorded in the VA when compared with the SDTF. Seasonal fluctuations were marker in the amphibian community and in the SDTF than in reptiles and the VA respectively. There is a marked species turn over both spatially (along the VA and SDTF) and temporally (across the seasons) more Acta Zoológica Mexicana (n.s.) 24(2): 91-115 (2008) especially evident in amphibians. Arroyo forest is important for the maintenance of species diversity, especially for amphibians, because in this vegetation environmental seasonality is less marked, and both productivity and vegetation structure is higher. The response of amphibians to changes in vegetation structure wa...

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Section: Secas Lluvias Ambasunclassified

Estacionalidad y estructura de la vegetación en la comunidad de anfibios y reptiles de Chamela, Jalisco, México

García

Cabrera-Reyes

2008

AZM

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“…Scientists frequently complain that decision makers do not pay adequate attention to the scientific information that they provide. Adaptive resource management (ARM) [3,4] provides an alternative approach to management that better integrates science into the decision-making process [5]. Adaptive management was developed as an approach to making recurrent decisions that are characterized by potentially resolvable uncertainty.…”

Section: Introductionmentioning

confidence: 99%

Integrating Land Cover Modeling and Adaptive Management to Conserve Endangered Species and Reduce Catastrophic Fire Risk

Breininger

Duncan

Eaton

et al. 2014

Land

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Land cover modeling is used to inform land management, but most often via a two-step process, where science informs how management alternatives can influence resources, and then, decision makers can use this information to make decisions. A more efficient process is to directly integrate science and decision-making, where science allows us to learn in order to better accomplish management objectives and is developed to address specific decisions. Co-development of management and science is especially productive when decisions are complicated by multiple objectives and impeded by uncertainty. Multiple objectives can be met by the specification of tradeoffs, and relevant uncertainty can be addressed through targeted science (i.e., models and monitoring). We describe how to integrate habitat and fuel monitoring with decision-making focused on the dual objectives of managing for endangered species and minimizing catastrophic fire risk. Under certain conditions, both objectives might be achieved by a similar management policy; other conditions require tradeoffs between objectives. Knowledge about system responses to actions can be informed by developing hypotheses based on ideas about fire OPEN ACCESSLand 2014, 3 875 behavior and then applying competing management actions to different land units in the same system state. Monitoring and management integration is important to optimize state-specific management decisions and to increase knowledge about system responses. We believe this approach has broad utility and identifies a clear role for land cover modeling programs intended to inform decision-making.

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Climate change and biodiversity conservation in Great Plains agroecosystems

Guo¹

2000

Global Environmental Change

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Patterns in Wildlife–Vegetation Association Matrices

Cited by 4 publications

References 13 publications

Estacionalidad y estructura de la vegetación en la comunidad de anfibios y reptiles de Chamela, Jalisco, México

Estacionalidad y estructura de la vegetación en la comunidad de anfibios y reptiles de Chamela, Jalisco, México

Integrating Land Cover Modeling and Adaptive Management to Conserve Endangered Species and Reduce Catastrophic Fire Risk

Climate change and biodiversity conservation in Great Plains agroecosystems

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