A landscape approach to conserving wetland bird habitat in the prairie pothole region of eastern South Dakota

Naugle, David E.; Johnson, Rex R.; Estey, Michael E.; Higgins, Kenneth F.

doi:10.1672/0277-5212(2001)021[0001:alatcw]2.0.co;2

Cited by 129 publications

(98 citation statements)

References 37 publications

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“…The influence of agriculture is generally considered a threat to wetland-dependent birds (Naugle et al 2001, Wires et al 2010), but our results indicate a positive relationship between Yuma Ridgway's rail and agriculture. Other marsh bird species may also be positively associated with wetlands surrounded by agriculture (e.g., least bittern [Ixobrychus exilis]; Valente et al 2011, Quesnelle et al 2013.…”

Section: Discussioncontrasting

confidence: 60%

Habitat models to predict wetland bird occupancy influenced by scale, anthropogenic disturbance, and imperfect detection

et al. 2017

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Abstract. Understanding species-habitat relationships for endangered species is critical for their conservation. However, many studies have limited value for conservation because they fail to account for habitat associations at multiple spatial scales, anthropogenic variables, and imperfect detection. We addressed these three limitations by developing models for an endangered wetland bird, Yuma Ridgway's rail (Rallus obsoletus yumanensis), that examined how the spatial scale of environmental variables, inclusion of anthropogenic disturbance variables, and accounting for imperfect detection in validation data influenced model performance. These models identified associations between environmental variables and occupancy. We used bird survey and spatial environmental data at 2473 locations throughout the species' U.S. range to create and validate occupancy models and produce predictive maps of occupancy. We compared habitatbased models at three spatial scales (100, 224, and 500 m radii buffers) with and without anthropogenic disturbance variables using validation data adjusted for imperfect detection and an unadjusted validation dataset that ignored imperfect detection. The inclusion of anthropogenic disturbance variables improved the performance of habitat models at all three spatial scales, and the 224-m-scale model performed best. All models exhibited greater predictive ability when imperfect detection was incorporated into validation data. Yuma Ridgway's rail occupancy was negatively associated with ephemeral and slow-moving riverine features and high-intensity anthropogenic development, and positively associated with emergent vegetation, agriculture, and low-intensity development. Our modeling approach accounts for common limitations in modeling species-habitat relationships and creating predictive maps of occupancy probability and, therefore, provides a useful framework for other species.

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Section: Discussioncontrasting

confidence: 60%

Habitat models to predict wetland bird occupancy influenced by scale, anthropogenic disturbance, and imperfect detection

et al. 2017

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“…Based on species' habitat requirements, landscapescale habitat models for grassland birds, waterfowl, and waterbirds have been developed to guide conservation planning and management activities in the PPR (Cowardin et al 1988, Naugle et al 2001, Niemuth et al 2005, Reynolds et al 2006). The importance of using similar models or approaches to guide delivery of USDA conservation programs in the PPR to maximize wildlife benefits only recently has been considered.…”

Section: Wildlife Habitatmentioning

confidence: 99%

USDA conservation program and practice effects on wetland ecosystem services in the Prairie Pothole Region

Gleason

Euliss

Tangen

et al. 2011

Ecological Applications

108

102

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Implementation of the U.S. Department of Agriculture (USDA) Conservation Reserve Program (CRP) and Wetlands Reserve Program (WRP) has resulted in the restoration of >2 million ha of wetland and grassland habitats in the Prairie Pothole Region (PPR). Restoration of habitats through these programs provides diverse ecosystem services to society, but few investigators have evaluated the environmental benefits achieved by these programs. We describe changes in wetland processes, functions, and ecosystem services that occur when wetlands and adjacent uplands on agricultural lands are restored through Farm Bill conservation programs. At the scale of wetland catchments, projects have had positive impacts on water storage, reduction in sedimentation and nutrient loading, plant biodiversity, carbon sequestration, and wildlife habitat. However, lack of information on the geographic location of restored catchments relative to landscape‐level factors (e.g., watershed, proximity to rivers and lakes) limits interpretation of ecosystem services that operate at multiple scales such as floodwater retention, water quality improvement, and wildlife habitat suitability. Considerable opportunity exists for the USDA to incorporate important landscape factors to better target conservation practices and programs to optimize diverse ecosystem services. Restoration of hydrologic processes within wetlands (e.g., hydroperiod, water level dynamics) also requires a better understanding of the influence of conservation cover composition and structure, and management practices that occur in uplands surrounding wetlands. Although conservation programs have enhanced delivery of ecosystem services in the PPR, the use of programs to provide long‐term critical ecosystem services is uncertain because when contracts (especially CRP) expire, economic incentives may favor conversion of land to crop production, rather than reenrollment. As demands for agricultural products (food, fiber, biofuel) increase, Farm Bill conservation programs will become increasingly important to ensure provisioning of ecosystem services to society, especially in agriculturally dominated landscapes. Thus, continued development and support for conservation programs legislated through the Farm Bill will require a more comprehensive understanding of wetland ecological services to better evaluate program achievements relative to conservation goals.

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“…Indeed, as small wetlands are critical components of the surrounding landscape that influence habitat suitability of larger wetlands (Naugle et al 2001; for forest landscapes: Norton et al 2000), it is likely that also apparently unsuitable (i.e. below thresholds in size) fragments may be instead important for shaping a suitable network of marshlands at landscape scale.…”

Section: Management Implicationsmentioning

confidence: 99%

“…On the other hand, few research has been focused on area-sensitivity of marshland-related species (e.g. Tscharntke 1992; Celada and Bogliani 1993;Báldi andKisbenedek 1998, 1999;Naugle et al 2001;Báldi 2004).…”

Section: Introductionmentioning

confidence: 99%

Area-sensitivity of three reed bed bird species breeding in Mediterranean marshland fragments

Benassi¹,

Battisti²,

Luiselli³

et al. 2009

Wetlands Ecol Manage

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Density and species-specific thresholds for three strictly reed bed (Phragmites australis)-related bird species (Ixobrychus minutus, Acrocephalus scirpaceus, Acrocephalus arundinaceus), known as area-sensitive and breeding in an archipelago of 16 Mediterranean marshland fragments (Central Italy), were studied with mapping method techniques. No individuals of these species occurred in fragments smaller than 1 ha. Marshland fragments larger than 10 ha hosted all the three study species. We observed a significant increase in mean density between 0-1 and 1-10 ha for Acrocephalus scirpaceus and between 1-10 and [10 ha for Acrocephalus arundinaceus. Habitat heterogeneity of the marshland fragments was directly correlated to their size area. Therefore, area-sensitivity for the reed bed species can be interpreted also as a heterogeneity-sensitivity effect at fragment scale. In Mediterranean landscapes, a suitable marshland for the entire selected set of reed bed area-sensitive species should have a size greater than 10 ha with a patchy mosaic of reed beds, open waters, and other edge features.

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A landscape approach to conserving wetland bird habitat in the prairie pothole region of eastern South Dakota

Cited by 129 publications

References 37 publications

Habitat models to predict wetland bird occupancy influenced by scale, anthropogenic disturbance, and imperfect detection

Habitat models to predict wetland bird occupancy influenced by scale, anthropogenic disturbance, and imperfect detection

USDA conservation program and practice effects on wetland ecosystem services in the Prairie Pothole Region

Area-sensitivity of three reed bed bird species breeding in Mediterranean marshland fragments

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