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Indicator environmental variables in regulating the distribution patterns of small freshwater fish Amblypharyngodon mola in India and Bangladesh
Ecological Indicators ( IF 6.9 ) Pub Date : 2020-09-08 , DOI: 10.1016/j.ecolind.2020.106906
Sangeeta Roy , Santanu Ray , Surjya Kumar Saikia

The key challenge in the fields of conservation and resource management is to track local, regional and global species extinctions and preserve biodiversity through optimization of investment of funds. To fulfil that purpose modelling and mapping habitat suitability of species is becoming essential. The freshwater ecosystem is today one of the most threatened ecosystems and fishes are especially vulnerable for climate change as they have fewer choices for dispersal. The altered thermal regimes, land use and hydrology together cause isolation, fragmentation and changes in distributional patterns of fish. In such landlocked situation, there is utmost need to identify suitable environmental conditions for a species to exist. Indigenous fish is one of the essential components of healthy inland aquatic ecosystems as they fulfil several important ecological functions and form an important part of the aquatic food web. Amblypharyngodon mola is an economically and ecologically important indigenous freshwater fish species of the tropical and subtropical floodplain rivers and wetland habitats of India and Bangladesh. However, lack of knowledge about the key environmental indicators is hindering appropriate management and conservation initiation. Modelling and mapping the distribution of A. mola was done for identifying the key environmental variables and predicting the potential distribution area of the species in current climatic condition. The species occurrence data were accessed from both primary and secondary sources and used after cleaning and removing biasness. Climatic, topographic, landcover and soil variables of 1 km resolution were used as environmental predictors. India and Bangladesh together were used as model background. Ensemble species distribution modelling was done, and the model was validated by area under the curve (AUC) value (>0.7). The result showed that the Ganges delta of lower reach going through West Bengal and Bangladesh is most suitable for A. mola occurrence. Annual upstream precipitation (hydroclim_12), soil pH in water (soil_average_02) and elevation (ele_01) are the key indicators for predicting the habitats suggesting the importance of hydroclimatic, topographic and soil variables in determining the distribution of the fish.



中文翻译:

在调节小淡水鱼的分布模式指示灯环境变量Amblypharyngodon莫拉在印度和孟加拉国

保护和资源管理领域的主要挑战是跟踪局部,区域和全球物种的灭绝并通过优化资金投资来保护生物多样性。为了实现该目的,对物种的栖息地适应性进行建模和绘图变得至关重要。如今,淡水生态系统是受威胁最大的生态系统之一,鱼类因扩散的选择较少而特别容易受到气候变化的影响。不断变化的热力状况,土地利用和水文学共同导致鱼类的隔离,破碎和分布格局的变化。在这种内陆情况下,最需要确定一个物种存在的适当环境条件。Amblypharyngodon mola是印度和孟加拉国热带和亚热带洪泛区河流以及湿地栖息地的一种在经济和生态上很重要的土著淡水鱼类。但是,由于缺乏对关键环境指标的了解,阻碍了适当的管理和保护工作的开展。建模和绘制A. mola的分布旨在确定关键的环境变量并预测当前气候条件下物种的潜在分布区域。可从主要和次要来源访问物种发生数据,并在清洁和消除偏差后使用。1 km分辨率的气候,地形,土地覆盖和土壤变量被用作环境预测指标。印度和孟加拉国一起被用作模型背景。完成了集合物种分布建模,并通过曲线下面积(AUC)值(> 0.7)验证了该模型。结果表明,穿过西孟加拉邦和孟加拉国的下游恒河三角洲最适合于A. mola发生。上游年度降水量(hydroclim_12),水中的土壤pH(soil_average_02)和高程(ele_01)是预测生境的关键指标,表明水文气候,地形和土壤变量在确定鱼类分布方面的重要性。

更新日期:2020-09-09
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