کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8845849 1617189 2018 30 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Assessing the river habitat suitability and effects of introduction of exotic fish species based on anecohydraulic model system
ترجمه فارسی عنوان
ارزیابی مناسب بودن زیستگاه رودخانه و اثرات معرفی گونه های ماهی عجیب و غریب بر اساس سیستم مدل آنکوهیدرولیکی
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک بوم شناسی، تکامل، رفتار و سامانه شناسی
چکیده انگلیسی
An ecohydraulic model system was used to determine the levels of native fish species habitat suitability and assess the effects of two non-native fish species introduction in the Xiaonam River. The model system was developed by combining four models which are hydrodynamic, sediment transport, habitat and population models. The Light Belly fish (Schizothorax lissolabiatus) was selected as the native fish species. The Thorn Barb (Barbodes caldwelli) and Ray-finned fish (Acrossocheilus yunnanensis) were selected as non-native species. Water depth, flow velocity, substrates, and shear stress were used as suitability indicators for habitat and population models. A typical annual flow pattern was used to represent the discharge into the Xiaonam River. Numerical model simulations were created to determine native and non-native fish species' habitat suitability level and population density. The simulated results indicated that given atypical flow pattern, the habitat quality for native fish species was good and the population would remain table. The research showed that the habitat level in Xiaonam River was very suitable for Ray-finned fish but not for Thorn Barb. It also suggested that the Ray-finned fish was a suitable fish species to import into Xiaonam River and its population could increase steadily after introduction. The analysis indicated that the model developed and used in this study could yield valuable information on river ecological processes and fish monitoring programs.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ecological Informatics - Volume 45, May 2018, Pages 59-69
نویسندگان
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