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将破碎化和非本地物种纳入分布模型,以告知河流鱼类保护。

Incorporating fragmentation and non-native species into distribution models to inform fluvial fish conservation.

机构信息

Department of Natural Resource Ecology and Management, Oklahoma State University, 007 Agriculture Hall, Stillwater, OK 74078, U.S.A.

Department of Integrative Biology, Oklahoma State University, Stillwater, OK 74078, U.S.A.

出版信息

Conserv Biol. 2018 Feb;32(1):171-182. doi: 10.1111/cobi.13024. Epub 2017 Dec 29.

Abstract

Fluvial fishes face increased imperilment from anthropogenic activities, but the specific factors contributing most to range declines are often poorly understood. For example, the range of the fluvial-specialist shoal bass (Micropterus cataractae) continues to decrease, yet how perceived threats have contributed to range loss is largely unknown. We used species distribution models to determine which factors contributed most to shoal bass range loss. We estimated a potential distribution based on natural abiotic factors and a series of currently occupied distributions that incorporated variables characterizing land cover, non-native species, and river fragmentation intensity (no fragmentation, dams only, and dams and large impoundments). We allowed interspecific relationships between non-native congeners and shoal bass to vary across fragmentation intensities. Results from the potential distribution model estimated shoal bass presence throughout much of their native basin, whereas models of currently occupied distribution showed that range loss increased as fragmentation intensified. Response curves from models of currently occupied distribution indicated a potential interaction between fragmentation intensity and the relationship between shoal bass and non-native congeners, wherein non-natives may be favored at the highest fragmentation intensity. Response curves also suggested that >100 km of interconnected, free-flowing stream fragments were necessary to support shoal bass presence. Model evaluation, including an independent validation, suggested that models had favorable predictive and discriminative abilities. Similar approaches that use readily available, diverse, geospatial data sets may deliver insights into the biology and conservation needs of other fluvial species facing similar threats.

摘要

河流鱼类面临着越来越多的人为活动的威胁,但导致其分布范围缩小的具体因素往往知之甚少。例如,河流特化的拟鲈(Micropterus cataractae)的分布范围仍在继续缩小,但人们对感知到的威胁如何导致其分布范围缩小还知之甚少。我们使用物种分布模型来确定哪些因素对拟鲈分布范围的缩小贡献最大。我们根据自然非生物因素和一系列包含土地覆盖、非本地物种和河流破碎化强度特征变量的当前占有分布来估计潜在分布(无破碎化、仅大坝和大坝和大型水库)。我们允许非本地同属种与拟鲈之间的种间关系在破碎化强度上有所不同。潜在分布模型的结果估计了拟鲈在其原生流域的大部分地区存在,而当前占有分布的模型则表明,随着破碎化的加剧,分布范围的损失增加。当前占有分布模型的响应曲线表明,破碎化强度与拟鲈和非本地同属种之间的关系之间存在潜在的相互作用,在最高破碎化强度下,非本地种可能更有利。响应曲线还表明,需要>100 公里相互连接、自由流动的溪流片段来支持拟鲈的存在。模型评估,包括独立验证,表明模型具有良好的预测和区分能力。类似的方法,使用现成的、多样化的地理空间数据集,可能会深入了解面临类似威胁的其他河流物种的生物学和保护需求。

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