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基于物理生境和种群模型评估科罗拉多河大峡谷三种鱼类的生态状况。

Assessing three fish species ecological status in Colorado River, Grand Canyon based on physical habitat and population models.

机构信息

Key Laboratory of Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research, China Academy of Sciences, Beijing 100101, China.

出版信息

Math Biosci. 2018 Apr;298:91-104. doi: 10.1016/j.mbs.2018.02.006. Epub 2018 Feb 22.

Abstract

Colorado River is a unique ecosystem and provides important ecological services such as habitat for fish species as well as water power energy supplies. River management for this ecosystem requires assessment and decision support tools for fish which involves protecting, restoring as well as forecasting of future conditions. In this paper, a habitat and population model was developed and used to determine the levels of fish habitat suitability and population density in Colorado River between Lees Ferry and Lake Mead. The short term target fish populations are also predicted based on native fish recovery strategy. This model has been developed by combining hydrodynamics, heat transfer and sediment transport models with a habitat suitability index model and then coupling with habitat model into life stage population model. The fish were divided into four life stages according to the fish length. Three most abundant and typical native and non-native fish were selected as target species, which are rainbow trout (Oncorhynchus mykiss), brown trout (Salmo trutta) and flannelmouth sucker (Catostomus latipinnis). Flow velocity, water depth, water temperature and substrates were used as the suitability indicators in habitat model and overall suitability index (OSI) as well as weight usable area (WUA) was used as an indicator in population model. A comparison was made between simulated fish population alteration and surveyed fish number fluctuation during 2000 to 2009. The application of this habitat and population model indicates that this model can be accurate present habitat situation and targets fish population dynamics of in the study areas. The analysis also indicates the flannelmouth sucker population will steadily increase while the rainbow trout will decrease based on the native fish recovery scheme.

摘要

科罗拉多河是一个独特的生态系统,提供了重要的生态服务,如鱼类栖息地以及水力能源供应。为了管理这个生态系统,需要评估和决策支持工具来保护、恢复和预测未来的鱼类状况。本文开发了一个栖息地和种群模型,用于确定利弗莫尔和米德湖之间科罗拉多河的鱼类栖息地适宜性和种群密度水平。还根据本地鱼类恢复策略预测了短期目标鱼类种群。该模型是通过将水动力、热传递和泥沙输运模型与栖息地适宜性指数模型相结合,并将其与栖息地模型耦合到生命阶段种群模型中而开发的。根据鱼类长度将鱼类分为四个生命阶段。选择了三种最丰富和典型的本地和非本地鱼类作为目标物种,分别是虹鳟(Oncorhynchus mykiss)、褐鳟(Salmo trutta)和绒口雅罗鱼(Catostomus latipinnis)。在栖息地模型中,流速、水深、水温和底质被用作适宜性指标,整体适宜性指数(OSI)和可用面积权重(WUA)被用作种群模型中的指标。对 2000 年至 2009 年模拟鱼类种群变化和调查鱼类数量波动进行了比较。该栖息地和种群模型的应用表明,该模型可以准确呈现研究区域的栖息地状况和目标鱼类种群动态。分析还表明,根据本地鱼类恢复计划,绒口雅罗鱼的种群将稳步增加,而虹鳟的种群将减少。

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