Tianjin Engineering Center of Urban River Eco-Purification Technology, School of Environmental Science and Engineering, Tianjin University, Tianjin, 300350, China.
Tianjin Engineering Center of Urban River Eco-Purification Technology, School of Environmental Science and Engineering, Tianjin University, Tianjin, 300350, China.
J Environ Manage. 2021 Aug 15;292:112788. doi: 10.1016/j.jenvman.2021.112788. Epub 2021 May 20.
Conservation of habitat patches and the related environment benefits both the focal species and human well-being. Many indices use the dispersal range to identify habitat patches with conservation priorities. However, there lacks approaches to identify environmental variables with conservation priorities (noted as target variables) in those identified patches. Therefore, this paper proposes an approach to identify environmental variables with conservation priorities in habitat patches using perception range and introduces the related assumption. It is assumed the agents select habitats based on their prior preference and perceived information in their perception ranges, which avoids the omniscient assumption of agents. Based on such assumptions, the proposed approach identifies the target variables by approximating how animals identify their habitats. It highlights the use of perception range and identifies target variables using the maximum information gain. The variables that contribute the largest reduction of uncertainty are regarded as the target variables in the habitat patches. Taking the Common Moorhen (Gallinula chloropus) living in Tianjin, China as the case, different scenarios with 100 m, 250 m and 500 m perception ranges are designed to illustrate the feasibility of the proposed approach. The proposed approach identifies the normalized vegetation index, rather than the distance to water surface, is the target variable in 42.3%, 58.9% and 72.1% habitat patches with given perception ranges. Adjustments are made on areas within the given perception range of each patch. More grid cells that has increased suitability index can be found in scenarios given 250 m perception range, which indicates the conservation area is not always the large the better. Optimizations are expected on both a better approximation method and a more thorough hypothesis of using perception range.
保护生境斑块及其相关环境有利于目标物种和人类福祉。许多指数都使用扩散范围来确定具有保护优先级的生境斑块。然而，在这些确定的斑块中，缺乏确定具有保护优先级的环境变量（称为目标变量）的方法。因此，本文提出了一种使用感知范围识别生境斑块中具有保护优先级的环境变量的方法，并介绍了相关假设。该假设认为，动物根据其先前的偏好和感知范围内的感知信息选择栖息地，从而避免了对动物的全知假设。基于这些假设，该方法通过模拟动物如何识别其栖息地来确定目标变量。它强调了感知范围的使用，并使用最大信息增益来识别目标变量。对不确定性贡献最大的变量被视为生境斑块中的目标变量。以中国天津的普通黑水鸡 (Gallinula chloropus) 为例，设计了不同的感知范围为 100m、250m 和 500m 的场景来说明该方法的可行性。该方法确定归一化植被指数而不是到水面的距离是给定感知范围下 42.3%、58.9%和 72.1%生境斑块中的目标变量。在每个斑块的给定感知范围内对区域进行调整。在给定 250m 感知范围的场景中，可以找到更多适合度指数增加的网格单元，这表明保护区并不总是越大越好。预计会对更好的逼近方法和更彻底的使用感知范围的假设进行优化。
