This article tries to understand the dynamics involving benthic macroinvertebrate studies over 18 watersheds for a period of 2 years in the Jhelum River Basin (JRB) of Kashmir Himalaya, India. We aimed to understand this by recognizing spatio‐temporal patterns of macroinvertebrates and their relation to some environmental factors across the whole JRB. A total of 93 taxa pertaining to 3 phyla, 7 classes and 55 families were observed. Our observations revealed that taxa richness, Shannon diversity, total density and percentage of Ephemeroptera, Plecoptera and Trichoptera (EPT) metrics considerably declined towards downstream regions. Summer and spring seasons have higher influence on richness, diversity and abundance of most percentage indices. Macrobenthic assemblage structure reflected significant variability with space and time having clear segregation of the downstream sites from upper and midstream reaches in canonical ordination plots. Variation partitioning models [distance‐based redundancy analysis (dbRDA)] showed water discharge and temperature as the main drivers of variation in community structure during summer, whereas fine substrate composition (% sand) and pH were revealed to define the variability in the biology of streams during other seasonal times. Pertinently, much of the variability in benthic faunal assemblages could not be deciphered by environmental drivers and therefore may be linked to other hydrochemical variables (like alkalinity, hardness, chloride and dissolved organic matter) and nutrients (nitrogen and phosphorus). Given the apprehension of future climatic changes, understanding spatial and seasonal influences on the macroinvertebrate assemblage structure remains highlighted here, which is crucial for baseline information as well as management of lotic Himalayan systems spanning longitudinal gradients and climatic variability.

中文翻译：

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克什米尔喜马拉雅山（印度）的耶鲁姆河流域融雪流水域底栖大型无脊椎动物的纵向和时间组合模式

本文试图了解在印度克什米尔喜马拉雅山的杰勒姆河盆地（JRB）的18个流域进行的底栖大型无脊椎动物研究的动态，为期2年。我们旨在通过认识大型无脊椎动物的时空模式及其与整个JRB中某些环境因素的关系来理解这一点。总共观察到93个分类，涉及3个门，7个类别和55个科。我们的观察结果表明，向下游地区的分类单元丰富度，香农多样性，星翅目，鞘翅目和毛鳞翅目（EPT）的总密度和百分比显着下降。夏季和春季对大多数百分比指数的丰富度，多样性和丰富度影响更大。大型底栖动物的组合结构反映了随时间和空间的显着变化，在规范排序图中，上游站点和中游河段的下游站点明显分离。变异分区模型[基于距离的冗余分析（dbRDA）]显示，夏季期间，排水和温度是群落结构变化的主要驱动力，而精细的底物组成（％砂）和pH值则表明了该菌的生物学变异性。在其他季节流。与此相关的是，底栖动物群的许多变异性无法通过环境驱动力来识别，因此可能与其他水化学变量（如碱度，硬度，氯化物和溶解的有机物）和养分（氮和磷）有关。