基于景观水平生境结构的大鼠尾草生境利用空间分析

M. Freese, S. Petersen, Richard Miller, A. Yost, W. Robinson
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引用次数: 4

摘要

大鼠尾草;在广阔的异质景观中,尾尾棘猴(Centrocercus urophasianus)选择性地利用了部分山艾树及其相关栖息地。迄今为止,对艾草松鸡的研究主要集中在精细尺度的植被结构和组成上,而较少关注景观尺度的生境需求。大范围的信息不足限制了管理者解释和预测栖息地使用模式、评估栖息地适宜性以及保护和生态恢复的目标区域的能力。我们在广阔的空间尺度上确定了与GSG栖息地利用相关的环境属性。2006年,我们在美国俄勒冈州中部31,416公顷的研究区域内捕获了50只GSG,并对每只鸟都进行了无线电项圈,并跟踪了每只鸟的位置。我们从2006年3月到2008年3月对整个研究区域的鸟类进行了一年的监测。每次找到一只鸟,我们都会在观察到它的地方收集一个坐标位置。我们在地理信息系统中生成空间明确的预测变量,以量化景观结构与GSG发生之间的关系。预测变量包括海拔、坡度、坡向、曲率、太阳辐射、景观崎岖度、朝向、距离道路的距离、距离洞穴的距离、距离植物栖息地的距离和覆盖类型。我们利用空间建模(Maximum Entropy)方法,建立了GSG季节性资源利用预测模型,生成了用于视觉评价的概率图,以及基于单个景观预测变量表征了GSG栖息地偏好的响应曲线。结果表明,在繁殖季节,GSG将利用大山艾、低山艾或低山大山艾复盖类型。在夏季,GSG使用低山艾树,山地大山艾树和mesic地区。此外,夏季使用区域包括在整个生长季节维持多肉植物生长的栖息地内或附近的高海拔地区。模型数据的地图确定了空间上明确的首选栖息地区域,并预测了鸟类的使用模式。这些信息可以帮助管理者识别和保护跨异质景观的重要GSG栖息地。
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Spatial Analysis of Greater Sage-grouse Habitat Use in Relation to Landscape Level Habitat Structure
Greater sage-grouse (GSG; Centrocercus urophasianus) selectively utilize portions of sagebrush and sagebrush associated habitats within broad and heterogeneous landscapes. Until recently, sage-grouse research has generally focused on fine-scale vegetation structure and composition and less on landscape-scale habitat requirements. Insufficient information at broad scales limits a manager’s ability to interpret and predict habitat use patterns, assess habitat suitability, and target areas for conservation and ecological rehabilitation. We identified environmental attributes associated with GSG habitat use at broad spatial scales. In 2006, we captured 50 GSG, radio-collared each bird, and tracked each bird’s position within a 31,416 ha study area in central Oregon, USA. We monitored birds year-long between March 2006 and March 2008 across the study area. Each time a bird was located, we collected a coordinate position at the point where it was observed. We generated spatially explicit predictor variables in a Geographic Information System to quantify the association between landscape structure and GSG occurrence. Predictor variables included elevation, slope, aspect, curvature, solar radiation, landscape ruggedness, orientation, distance from roads, distance from leks, distance from mesic habitats, and cover type. We used spatial modeling (Maximum Entropy) to 1) develop predictive models of GSG seasonal resource use, 2) generate probability maps for visual assessment, and 3) characterize response curves associated with GSG habitat preference based on individual landscape predictor variables. Results indicate that during the breeding season GSG will use big sagebrush, low sagebrush or complexes of low and mountain big sagebrush cover types. During the summer season, GSG use low sagebrush, mountain big sagebrush, and mesic areas. Additionally, summer season use areas include higher elevation sites within or in close proximity to habitats that sustain succulent forbs throughout most of the growing season. Maps of modeled data identify spatially explicit areas of preferred habitat and predicted bird use patterns. This information can help managers identify and protect important GSG habitat across heterogeneous landscapes.
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