Reduced complexity models for regional aquatic habitat suitability assessment

Reduced complexity models for regional aquatic habitat suitability assessment
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DOI:
10.1111/1752-1688.13077
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发表时间:
2022-11
期刊:
JAWRA Journal of the American Water Resources Association
影响因子:
--
通讯作者:
Gregory C. Goodrum;S. Null
Gregory C. Goodrum;S. Null
中科院分区:
其他
文献类型:
--
作者:
Gregory C. Goodrum;S. Null

文献摘要

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需要确定大型河流流域和区域的适当水生生境的可推广方法,以告知资源管理。生境适宜性模型交叉环境变量来预测物种的发生,但往往是数据密集型的,因此通常是在小的空间尺度上开发的。这项研究估计了平均每月水生栖息地的适宜性,整个犹他州(美国)的博纳维尔割喉鳟鱼(Oncorhynchus clarkii犹他州)和蓝头吸盘(Catostomus discobolus)与公开可用的,地理空间数据集。我们评估了15个栖息地适宜性模型,使用独特的组合百分比的年平均流量,流速,梯度和流温度。环境变量进行了验证与观察到的条件和物种存在的观察,以验证栖息地适宜性估计。流温度,梯度和放电最好的预测博纳维尔割喉鳟鱼的存在,梯度和放电最好的预测蓝头吸盘的存在。简单的水生栖息地适宜性模型优于仅使用径流来估计两种物种栖息地的模型,并且对于保护规划和水资源决策是有用的。这种建模方法可以使资源管理者优先考虑在其管理领域内的广大地区的河流恢复,并有可能与水管理建模,以提高管理模型中的生态目标兼容。
Generalizable methods that identify suitable aquatic habitat across large river basins and regions are needed to inform resource management. Habitat suitability models intersect environmental variables to predict species occurrence, but are often data intensive and thus are typically developed at small spatial scales. This study estimated mean monthly aquatic habitat suitability throughout Utah (USA) for Bonneville Cutthroat Trout (Oncorhynchus clarkii utah) and Bluehead Sucker (Catostomus discobolus) with publicly available, geospatial datasets. We evaluated 15 habitat suitability models using unique combinations of percent of mean annual discharge, velocity, gradient, and stream temperature. Environmental variables were validated with observed conditions and species presence observations to verify habitat suitability estimates. Stream temperature, gradient, and discharge best predicted Bonneville Cutthroat Trout presence, and gradient and discharge best predicted Bluehead Sucker presence. Simple aquatic habitat suitability models outperformed models that used only streamflow to estimate habitat for both species, and are useful for conservation planning and water resources decision‐making. This modeling approach could enable resource managers to prioritize stream restoration across vast regions within their management domain, and is potentially compatible with water management modeling to improve ecological objectives in management models.