کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6293628 1303105 2016 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Do human disturbance variables influence more on fish community structure and function than natural variables in the Wei River basin, China?
ترجمه فارسی عنوان
آیا متغیرهای اختلال انسان بیشتر بر ساختار و عملکرد جامعه ماهی بیشتر از متغیرهای طبیعی در حوضه رود وی و چین تأثیر دارند؟
کلمات کلیدی
فراوانی ماهی، معیارهای ماهی، گونه های نادر، اختلال در انسان، تقسیم بندی متغیر،
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک بوم شناسی، تکامل، رفتار و سامانه شناسی
چکیده انگلیسی
Quantifying how human disturbance affects biotic communities in the context of other natural and spatial factors is a vital precursor to develop environmental management strategies to effectively conserve and restore ecosystem. This is particularly so for freshwater ecosystems in heavily populated and increasingly disturbed regions such as the Wei River basin in north-west China. In this paper, we employed both species' abundance and functional metrics (displaying species diversity, habitat, trophic level, tolerance and abundance) to quantify the effect of human disturbance using canonical correspondence analysis. The results showed that spatial, natural and human disturbance variables can explain 40.1% and 33.7% of the total variation in fish abundance without rare species and with all species, respectively. 37.1% and 37.9% variation can be explained in fish metrics without rare species and with all species. Human disturbance variables explained most of the total variations in the four fish matrices. Inclusion or exclusion of rare species will influence the total explained variation from three factors in fish metrics, but little in fish abundance. Rare species will highlight this relationship with human disturbance gradient. For fish metrics, removing rare species will reflect some wrong information for human disturbance gradient. We recommend to include rare species for fish metrics to assess the impact of environment.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ecological Indicators - Volume 61, Part 2, February 2016, Pages 438-446
نویسندگان
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