Predicting Presence-Absence of the Endangered Golden-Cheeked Warbler (Dendroica Chrysoparia)

DeBoer, Timery S.; Diamond, David D.

doi:10.1894/0038-4909(2006)51[181:ppoteg]2.0.co;2

Cited by 35 publications

(47 citation statements)

References 4 publications

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“…We constructed six candidate models that included landscape and local habitat covariates for the zeroinflation and density portions of the model that we hypothesized were important and that received support in other studies (DeBoer and Diamond 2006;Magness et al 2006;Farrell et al 2013;Peak and Thompson 2013) and in our preliminary analyses (City of Austin et al 2014). We evaluated multi-collinearity of covariates and did not include variables in individual models that resulted in tolerance values \0.4 (Allison 1999).…”

Section: Actual Densitymentioning

confidence: 96%

“…Additionally, golden-cheeked warbler occupancy was better predicted by coarse-scale forest structure measures that were refined by inclusion of LiDAR data . DeBoer and Diamond (2006) reported golden-cheeked warbler occupancy was positively related to slope steepness, forest interior, and canopy height. Of the few published studies reporting density of golden-cheeked warblers, none has focused on density-habitat relationships in an Fig.…”

Section: Introductionmentioning

confidence: 92%

“…Robinson (2013) reported a greater minimum patch size threshold for territory establishment, pairing success, and territory success in an urban landscape than a rural landscape. DeBoer and Diamond (2006) reported higher occupancy rates of golden-cheeked warblers in wooded patches away from human development.…”

Section: Introductionmentioning

confidence: 95%

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Landscape and local effects on occupancy and densities of an endangered wood-warbler in an urbanizing landscape

et al. 2015

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Context Golden-cheeked warblers (Setophaga chrysoparia), an endangered wood-warbler, breed exclusively in woodlands co-dominated by Ashe juniper (Juniperus ashei) in central Texas. Their breeding range is becoming increasingly urbanized and habitat loss and fragmentation are a main threat to the species' viability.Objectives We investigated the effects of remotely sensed local habitat and landscape attributes on point occupancy and density of warblers in an urban preserve and produced a spatially explicit density map for the preserve using model-supported relationships. Methods We conducted 1507 point-count surveys during spring 2011-2014 across Balcones Canyonlands Preserve (BCP) to evaluate warbler habitat associations and predict density of males. We used hierarchical Bayesian models to estimate multiple components of detection probability and evaluate covariate effects on detection probability, point occupancy, and density. Results Point occupancy was positively related to landscape forest cover and local canopy cover; mean occupancy was 0.83. Density was influenced more by local than landscape factors. Density increased with greater amounts of juniper and mixed forest and decreased with more open edge. There was a weak negative relationship between density and landscape urban land cover. Conclusions Landscape composition and habitat structure were important determinants of warbler occupancy and density, and the large intact patches of juniper and mixed forest on BCP ([2100 ha) supported a high density of warblers. Increasing urbanization and fragmentation in the surrounding landscape will likely result in lower breeding density due to loss of juniper and mixed forest and increasing urban land cover and edge.

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Section: Actual Densitymentioning

confidence: 96%

Section: Introductionmentioning

confidence: 92%

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Landscape and local effects on occupancy and densities of an endangered wood-warbler in an urbanizing landscape

et al. 2015

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“…Three studies have investigated the effects of landscape or habitat on the Goldencheeked Warbler's occurrence. DeBoer and Diamond (2006) found that occurrence was positively associated with larger patches with less edge. Magness et al (2006) assessed occurrence at scales of radii of 100, 200, 400, and 800 m and found that pereent of woodland in the landscape and patch size were the most important variables in predicting occurrence at all scales.…”

Section: Introductionmentioning

confidence: 93%

Amount and Type of Forest Cover and Edge Are Important Predictors of Golden-cheeked Warbler Density

Peak¹,

Thompson²

2013

The Condor

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Considered endangered by the U.S. Fish and Wildlife Service, the Golden-cheeked Warbler (Setophaga chrysoparia) breeds exclusively in the juniper-oak (Juniperus ashei-Quercus spp.) woodlands of central Texas. Large-scale, spatially explicit models that predict population density as a function of habitat and landscape variables can provide important insight for its management and recovery. We used distance sampling to model detection probability and to estimate the density and abundance of singing male Golden-cheeked Warblers on Fort Hood Military Reservation. We used an information-theoretic approach to evaluate hypotheses concerning the effects of proportion of forest type and forest cover, forest-edge density, and patch size on density. We fitted generalized linear models with detection probability as an offset term to predict density as a function of the habitat and landscape variables, calculate a model-based density and abundance estimate, and map density across the area sampled. The design-based estimates were 0.39 males ha"' and 7557 singing males. The most supported model contained proportion of forest type and forest cover, both of which had a positive effect on density, as well as forest-edge density, which had a negative effect. The model-based estimates of 0.39 males ha"' and 7571 singing males were greater than estimates extrapolated from intensive territory monitoring. Knowledge of factors affecting Golden-cheeked Warbler density can be used to inform recovery efforts, and our density model can be used to assess the effects of various activities proposed for military training and of environmental disturbance on warbler densities.Resumen. La especie Setophaga chrysoparia, considerada en peligro por el Servicio de Vida Silvestre y Pesca de EUA, cria exclusivamente en los bosques de enebro y roble {Juniperus ashei-Quercus spp.) del centro de Texas. Modelos espacialmente explícitos de gran escala que predicen la densidad poblacional como una función de las variables del habitat y del paisaje pueden brindar información importante para su manejo y recuperación. Usamos muéstreos de distancia para modelar la probabilidad de detección y para estimar la densidad y abundancia de individuos machos canoros de S. chrysoparia en la Reserva Militar Fuerte Hood. Usamos un enfoque de la teoria de la información para evaluar las hipótesis concernientes sobre los efectos de la proporción del tipo de bosque y de la cobertura del bosque, de la densidad de borde de bosque y del tamaño del parche sobre la densidad. Ajustamos modelos lineales generalizados con la probabilidad de detección como un término de compensación para predecir la densidad como función de las variables del habitat y del paisaje, calcular la densidad y abundancia estimada basada en el modelo y mapear la densidad a lo largo del área muestreada. Las estimaciones basadas en el diseño fueron 0.39 machos ha"' y 7557 machos canoros. El modelo con mejor soporte contuvo una proporción de tipo de bosque y de cobertura de bosque, ambos de los cuales tuvieron un ...

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“…Where vegetation height has been studied in relation to occurrence or other avian responses, height is typically v www.esajournals.org assessed on the ground. Thus, while studies have long investigated statistical correlations between vegetation height and responses of interest, the technological capacity to estimate height remotely and extrapolate statistical correlations to generate spatially explicit predictions has not been available until more recently (DeBoer andDiamond 2006, McFarland et al 2012a). Previous studies correlating height to avian responses are limited in their ability to be applied to management.…”

Section: Introductionmentioning

confidence: 99%

Using LiDAR‐derived vegetation metrics for high‐resolution, species distribution models for conservation planning

et al. 2013

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. Using LiDAR-derived vegetation metrics for high-resolution, species distribution models for conservation planning. Ecosphere 4(3):42. http://dx.doi.org/10.1890/ES12-000352.1Abstract. Advances in remotely sensed data for characterizing habitat have enabled development of spatially explicit predictive species distribution models (SDM) that can be essential tools for management. SDMs commonly use coarse-grain metrics, such as forest patch size or patch connectivity, over broad spatial extents. However, species distributions are likely driven in part by local, fine-grained habitat conditions. Conservation and management are often planned and applied locally, where coarse predictions may be uninformative or not sufficiently precise. We investigated the integration of high-resolution LiDAR (Light Detection and Ranging) with avian point sampling data to develop a detection-corrected occupancy model to quantify habitat-occurrence relationships for two species with different habitats: the endangered golden-cheeked warbler (Setophaga chrysoparia) and black-capped vireo (Vireo atricapilla) on a military installation in central Texas. We compared occupancy models that used only the more conventional, coarse remotely sensed metrics to models that also incorporated high-resolution LiDAR-derived metrics for vegetation height and canopy cover, to assess their use for predicting distributions. Models including LiDAR-derived vegetation height and canopy cover metrics were competitive for both species, and models without LiDAR-derived vegetation height had substantially lower model weights and explanatory strength. Area under curve estimates for the highest ranked models were high for warblers (0.864) and moderate for vireos (0.746). Using the best supported models for each species, we predicted the occurrence distribution for both species. The resulting predictions provide a decision support tool that enables assessment of the status, impacts, and mitigation of impacts to endangered species habitat on the installation due to land management and military training activities that is more standardized and accurate than current assessment approaches based on visual gestalt of habitat and expert opinion. Additionally, although previous species distribution models have been created for our focal species, most fail to match the grain and extent of most management actions or include local, fine-grained metrics that influence distributions. In contrast, we demonstrate that use of LiDAR with species occurrence data can provide precision and resolution at a scale that is relevant ecologically and to the operational scale of most conservation and management actions.

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Predicting Presence-Absence of the Endangered Golden-Cheeked Warbler (Dendroica Chrysoparia)

Cited by 35 publications

References 4 publications

Landscape and local effects on occupancy and densities of an endangered wood-warbler in an urbanizing landscape

Landscape and local effects on occupancy and densities of an endangered wood-warbler in an urbanizing landscape

Amount and Type of Forest Cover and Edge Are Important Predictors of Golden-cheeked Warbler Density

Using LiDAR‐derived vegetation metrics for high‐resolution, species distribution models for conservation planning

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