超越重叠:考虑伞形物种概念中的生境偏好和适应性结果

IF 2.8 2区 环境科学与生态学 Q1 BIODIVERSITY CONSERVATION
J. D. Carlisle, K. T. Smith, J. L. Beck, M. A. Murphy, A. D. Chalfoun
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引用次数: 0

摘要

保护伞状物种和其他替代物种的方法提供了一个有吸引力的框架,将保护工作的范围扩大到单一物种之外。要使伞状物种概念有效,多个受关注物种的种群必须在代表伞状物种的保护区域内持续存在。然而,对这一概念的大多数评估只关注伞状物种和背景物种之间的地理重叠,而不关注影响种群持续性的措施(如栖息地质量或适应性)。2012-2013年期间,我们在美国怀俄明州中部量化了一个备受瞩目的伞状物种(大松鸡,Centrocercus urophasianus,以下简称 "大松鸡")与三个同域的衰退鸣禽物种(布鲁尔麻雀 Spizella breweri、鼠鲛 Oreoscoptes montanus 和堇麻雀 Pooecetes gramineus)的栖息地偏好和筑巢成功率之间的一致性。我们使用机器学习方法,通过将野外采集的鼠雉数据与栖息地属性进行建模,创建数据驱动的鼠雉巢址选择和巢存活概率预测。然后,我们使用实地收集的鸣禽数据来评估鸣禽的优质巢址是否与鼠松鸡的优质巢址一致。鸣禽选择的筑巢地点与沙鸡的筑巢偏好并不一致,但布鲁尔麻雀在 2012 年选择的筑巢地点与沙鸡相似。此外,鸣禽筑巢存活率较高的地区与松鸡筑巢存活率较高的地区无关。我们的研究结果表明,在地方范围内优先考虑鼠尾草筑巢栖息地的管理措施并不一定会提高鼠尾草相关鸣禽的繁殖成功率。在广阔的空间范围内为保护鼠尾草和其他所谓的伞状物种而采取的措施可能会与许多物种的分布重叠,然而,广阔范围的重叠可能不会转化为伞状物种本身以外的精细范围的保护效益。维持对多种受关注物种非常重要的微生境异质性对于更全面地应用伞状物种概念至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Beyond overlap: considering habitat preference and fitness outcomes in the umbrella species concept

Beyond overlap: considering habitat preference and fitness outcomes in the umbrella species concept

Beyond overlap: considering habitat preference and fitness outcomes in the umbrella species concept

Umbrella species and other surrogate species approaches to conservation provide an appealing framework to extend the reach of conservation efforts beyond single species. For the umbrella species concept to be effective, populations of multiple species of concern must persist in areas protected on behalf of the umbrella species. Most assessments of the concept, however, focus exclusively on geographic overlap among umbrella and background species, and not measures that affect population persistence (e.g. habitat quality or fitness). We quantified the congruence between the habitat preferences and nesting success of a high-profile umbrella species (greater sage-grouse, Centrocercus urophasianus, hereafter ‘sage-grouse’), and three sympatric species of declining songbirds (Brewer's sparrow Spizella breweri, sage thrasher Oreoscoptes montanus and vesper sparrow Pooecetes gramineus) in central Wyoming, USA during 2012–2013. We used machine-learning methods to create data-driven predictions of sage-grouse nest-site selection and nest survival probabilities by modeling field-collected sage-grouse data relative to habitat attributes. We then used field-collected songbird data to assess whether high-quality sites for songbirds aligned with those of sage-grouse. Nest sites selected by songbirds did not coincide with sage-grouse nesting preferences, with the exception that Brewer's sparrows preferred similar nest sites to sage-grouse in 2012. Moreover, the areas that produced higher rates of songbird nest survival were unrelated to those for sage-grouse. Our findings suggest that management actions at local scales that prioritize sage-grouse nesting habitat will not necessarily enhance the reproductive success of sagebrush-associated songbirds. Measures implemented to conserve sage-grouse and other purported umbrella species at broad spatial scales likely overlap the distribution of many species, however, broad-scale overlap may not translate to fine-scale conservation benefit beyond the umbrella species itself. The maintenance of microhabitat heterogeneity important for a diversity of species of concern will be critical for a more holistic application of the umbrella species concept.

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来源期刊
Animal Conservation
Animal Conservation 环境科学-生态学
CiteScore
7.50
自引率
5.90%
发文量
71
审稿时长
12-24 weeks
期刊介绍: Animal Conservation provides a forum for rapid publication of novel, peer-reviewed research into the conservation of animal species and their habitats. The focus is on rigorous quantitative studies of an empirical or theoretical nature, which may relate to populations, species or communities and their conservation. We encourage the submission of single-species papers that have clear broader implications for conservation of other species or systems. A central theme is to publish important new ideas of broad interest and with findings that advance the scientific basis of conservation. Subjects covered include population biology, epidemiology, evolutionary ecology, population genetics, biodiversity, biogeography, palaeobiology and conservation economics.
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