整合精细尺度的栖息地适宜性和水文结构,评估伊朗西南部凯撒山蝾螈(Neurgus kaiseri)的种群连通性

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Peyman Karami, Sajad Tavakoli, Mina Esmaeili
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引用次数: 0

摘要

两栖动物的生命周期独特,包括水生和陆生阶段,这给研究元种群内的景观连通性带来了挑战。两栖动物对水的严重依赖和有限的活动能力加剧了这些挑战。对环境因素的精细调查有助于了解两栖动物元种群的分布范围和景观连通性。本研究考察了伊朗西南部易危(VU)物种卢里斯坦蝾螈(Neurgus kaiseri)种群核心之间的栖息地适宜性和连通性。利用数字高程模型(DEM)和水文工具,根据排水流域和最大熵(MaxEnt)确定了研究区域的边界,并结合八个栖息地变量调查了分布范围。鉴于两栖动物依靠湿度移动,因此利用 DEM 计算了沉积物迁移指数(STI),作为合适的移动环境的代用指标。利用该指数,可以评估溪流中的沉积物在整个地形中的潜在移动情况。较高的 STI 值会限制两栖动物的移动和栖息,从而威胁到幼虫的生存。在此,使用 s 型方法和对称成员函数,根据存在点对 STI 进行模糊化。利用栖息地适宜性图和 OR 逻辑,采用模糊叠加技术,最后使用模糊图的逆值作为景观阻力。确定了流域内至少有两个种群核心的子流域,并利用联系图谱建立了它们之间的联系。此外,还确定了每个子流域中沿人口核心链接路径的汇的深度和数量。MaxEnt 分析结果表明,海拔、与溪流的距离和与森林的接近程度等变量是影响 N. kaiseri 的最重要因素。所有伊朗的 N. kaiseri 种群都位于一个流域内。在这个流域中,有五个子流域拥有两个以上的种群。子流域 4 包含的种群数量最多,其连接质量也最高(29 流量)。该子流域的种群核心之间的最大连接深度达到了距地表 100 米,而且大部分种群位于子流域的上部。在种群核心之间有 432 个水汇,这些水汇有助于涵养水源、创造微气候和提供水分。该子流域内的种群排列、水汇的存在以及连接路径深度的变化为种群核心创造了独特的条件。这些条件极大地影响了联系的质量。本研究的结果可作为一种宝贵的工具,用于识别种群核心和子流域并确定其优先次序,以开展有针对性的保护工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrating fine-scale habitat suitability and hydrological structures to assess population connectivity for the Kaiser's mountain newt (Neurergus kaiseri) in southwest of Iran
The unique life cycle of amphibians, encompassing both aquatic and terrestrial stages, poses challenges for examining landscape connectivity within meta-populations. Their heavy reliance on water and limited mobility exacerbate these challenges. Fine-scale investigations of environmental factors contribute to understanding the distribution range and landscape connectivity of amphibian meta-populations. The present study examines the habitat suitability and connectivity among population cores of the Luristan newt (Neurergus kaiseri), a vulnerable (VU) species in southwest Iran. Using the Digital Elevation Model (DEM) and hydrological tools, the boundary of the study area was defined based on drainage basins and Maximum Entropy (MaxEnt), incorporating eight habitat variables to investigate the distribution range. Given that amphibians rely on moisture to move, DEM was used to calculate the Sediment Transport Index (STI) as a surrogate for suitable movement contexts. Using this index, the potential movement of sediment within streams across the landscape will be assessed. A high STI value can limit amphibian movement and shelter and therefore threaten the survival of larvae. Here, the STI was fuzzified based on the presence points using the s-shaped method and the symmetric membership function. The fuzzy overlay technique was employed using the habitat suitability map and OR logic, and finally, the inverse of the fuzzy map was used as landscape resistance. Sub-basins with at least two population cores in the drainage basin were identified and their linkage was established using the Linkage Mapper. Also, the depth and number of sinks along the linkage path of the population cores in each sub-basin were identified. The MaxEnt analysis highlighted the variables of elevation, distance from streams, and proximity to the forest as the most important factors influencing N. kaiseri. All Iranian populations of N. kaiseri were located within a single drainage basin. In this drainage basin, there were five sub-basins with more than two populations. Sub-basin 4 encompassed the largest population and exhibited the highest connectivity quality (29 flow rate). The maximum depth of the links between the population cores in this sub-basin reached 100 m from the surface, and a large segment of the population was located in the upper part of the sub-basin. 432 sinks were located between the population cores that helped conserve water, create microclimates, and supply moisture.The arrangement of the populations within the sub-basin, along with the presence of sinks and variations in linkage path depths created distinct conditions for population cores. These conditions significantly influenced the quality of the linkages. The results of the present study can serve as a valuable tool to identify and prioritize population cores and sub-basins for targeted conservation efforts.
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CiteScore
7.20
自引率
4.30%
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