人居prioritization landscapes题seasons、跨越广泛和novel地区为例:每年使用in greater sage-grouse怀俄明州H H o n . del Priorizaci Paisajes公众4页的Extensos你ltiples estacio M、yÁreas Nuevas:例如,一个Usando al Urogallo Mayor在怀俄明州的栖息地内大面积的景观,重点几个季节,和新地点:使用一个示例Armoises松鸡的怀俄明州

IF 4.3 1区 生物学 Q1 ECOLOGY Wildlife Monographs Pub Date : 2014-09-22 DOI:10.1002/wmon.1014
Bradley C. Fedy, Kevin E. Doherty, Cameron L. Aldridge, Micheal O'Donnell, Jeffrey L. Beck, Bryan Bedrosian, David Gummer, Matthew J. Holloran, Gregory D. Johnson, Nicholas W. Kaczor, Christopher P. Kirol, Cheryl A. Mandich, David Marshall, Gwyn Mckee, Chad Olson, Aaron C. Pratt, Christopher C. Swanson, Brett L. Walker
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引用次数: 104

摘要

动物栖息地选择是生态学研究的一个重要领域。特别是,生境选择的研究对保护物种的生境优选工作至关重要。由于认识到景观尺度模式在物种持久性中的作用,再加上物种和栖息地数据集的改进,以及人类土地利用对景观的影响不断扩大和加剧,物种景观规划的开展程度越来越高。我们提出了一个大规模的合作努力,开发跨大景观和多季节的栖息地选择模型,以优先考虑保护物种的栖息地。大鼠尾草(Centrocercus urophasianus,以下简称鼠尾草)出现在北美西部半干旱地区。这一物种在整个范围内的数量下降已经被记录在案,目前它被认为是“有理由但被排除在外”的,根据美国濒危物种法案被列入名单。据预测,怀俄明州仍将是鼠尾草种群的大本营,约占鼠尾草种群总数的37%。我们收集了来自14个独特的无线电遥测研究(数据收集于1994-2010年)的位置数据,以及来自怀俄明州高质量的、生物相关的地理信息系统(GIS)层的栖息地数据。我们为怀俄明州的大艾草松鸡开发了3个不同生命阶段的栖息地选择模型:1)筑巢,2)夏季和3)冬季。我们开发了4个范围的斑块和景观模型,为怀俄明州创建了全州和区域(西南、中部、东北部)模型。生境选择因地区和季节的不同而不同,但偏好的生境属性通常与大量文献中关于艾草松鸡的季节性生境要求相匹配。在不同的季节和地区,鸟类更喜欢山艾树覆盖比例更高的地区,避开铺砌的道路、农业和森林地区。鸟类总是喜欢夏季降水较多的地区,冬季避开崎岖的地形。对山艾树覆盖的选择因地区而异,东北地区的选择更强,可能是因为可用性有限,而避免铺设道路在各地区是相当一致的。我们为每个模型集(季节×区域组合)选择了资源选择函数(RSF)阈值,这些阈值描绘了艾草松鸡的重要季节性栖息地。每个模型集在研究地点范围内都显示出良好的有效性和区分能力。我们将筑巢季节模型应用于模型开发中未包含的新区域。在新区域,直接落在确定的重要栖息地内的独立筑巢地点的百分比并不令人印象深刻(49%);然而,包括在重要栖息地周围500米的缓冲区,在新区域内捕获了98%的独立筑巢地点。我们还使用韭葱和相关的峰值雄性数量作为用于开发模型的研究地点以外的筑巢栖息地的代理。在重要的筑巢栖息地边界周围1.5公里的缓冲区中,有77%的雄性在研究地点以外的怀俄明州的leks中被统计。在我们的研究地点之外,没有数据可用于定量测试夏季和冬季模型的性能。这里介绍的模型集合代表了大规模的资源管理规划工具,在空间和时间分辨率方面是先前工具的重大进步。2014年出版。这篇文章是美国政府的作品,在美国属于公有领域。
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Habitat prioritization across large landscapes, multiple seasons, and novel areas: An example using greater sage-grouse in Wyoming Priorización del Hábitat a través de Paisajes Extensos, Estaciones Múltiples, y Áreas Nuevas: Un Ejemplo Usando al Urogallo Mayor en Wyoming Habitat Priorités au sein de Vastes Paysages, Plusieurs Saisons, et les Aires de Nouveaux: Un Exemple d'utilisation du Tétras des Armoises dans le Wyoming

Animal habitat selection is an important and expansive area of research in ecology. In particular, the study of habitat selection is critical in habitat prioritization efforts for species of conservation concern. Landscape planning for species is happening at ever-increasing extents because of the appreciation for the role of landscape-scale patterns in species persistence coupled to improved datasets for species and habitats, and the expanding and intensifying footprint of human land uses on the landscape. We present a large-scale collaborative effort to develop habitat selection models across large landscapes and multiple seasons for prioritizing habitat for a species of conservation concern. Greater sage-grouse (Centrocercus urophasianus, hereafter sage-grouse) occur in western semi-arid landscapes in North America. Range-wide population declines of this species have been documented, and it is currently considered as “warranted but precluded” from listing under the United States Endangered Species Act. Wyoming is predicted to remain a stronghold for sage-grouse populations and contains approximately 37% of remaining birds. We compiled location data from 14 unique radiotelemetry studies (data collected 1994–2010) and habitat data from high-quality, biologically relevant, geographic information system (GIS) layers across Wyoming. We developed habitat selection models for greater sage-grouse across Wyoming for 3 distinct life stages: 1) nesting, 2) summer, and 3) winter. We developed patch and landscape models across 4 extents, producing statewide and regional (southwest, central, northeast) models for Wyoming. Habitat selection varied among regions and seasons, yet preferred habitat attributes generally matched the extensive literature on sage-grouse seasonal habitat requirements. Across seasons and regions, birds preferred areas with greater percentage sagebrush cover and avoided paved roads, agriculture, and forested areas. Birds consistently preferred areas with higher precipitation in the summer and avoided rugged terrain in the winter. Selection for sagebrush cover varied regionally with stronger selection in the Northeast region, likely because of limited availability, whereas avoidance of paved roads was fairly consistent across regions. We chose resource selection function (RSF) thresholds for each model set (seasonal × regional combination) that delineated important seasonal habitats for sage-grouse. Each model set showed good validation and discriminatory capabilities within study-site boundaries. We applied the nesting-season models to a novel area not included in model development. The percentage of independent nest locations that fell directly within identified important habitat was not overly impressive in the novel area (49%); however, including a 500-m buffer around important habitat captured 98% of independent nest locations within the novel area. We also used leks and associated peak male counts as a proxy for nesting habitat outside of the study sites used to develop the models. A 1.5-km buffer around the important nesting habitat boundaries included 77% of males counted at leks in Wyoming outside of the study sites. Data were not available to quantitatively test the performance of the summer and winter models outside our study sites. The collection of models presented here represents large-scale resource-management planning tools that are a significant advancement to previous tools in terms of spatial and temporal resolution. Published 2014. This article is a U.S. Government work and is in the public domain in the USA.

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来源期刊
Wildlife Monographs
Wildlife Monographs 生物-动物学
CiteScore
9.10
自引率
0.00%
发文量
3
审稿时长
>12 weeks
期刊介绍: Wildlife Monographs supplements The Journal of Wildlife Management with focused investigations in the area of the management and conservation of wildlife. Abstracting and Indexing Information Academic Search Alumni Edition (EBSCO Publishing) Agricultural & Environmental Science Database (ProQuest) Biological Science Database (ProQuest) CAB Abstracts® (CABI) Earth, Atmospheric & Aquatic Science Database (ProQuest) Global Health (CABI) Grasslands & Forage Abstracts (CABI) Helminthological Abstracts (CABI) Natural Science Collection (ProQuest) Poultry Abstracts (CABI) ProQuest Central (ProQuest) ProQuest Central K-543 Research Library (ProQuest) Research Library Prep (ProQuest) SciTech Premium Collection (ProQuest) Soils & Fertilizers Abstracts (CABI) Veterinary Bulletin (CABI)
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