Journal ArticleDOI
River health assessment of the Yellow River source region, Qinghai-Tibetan Plateau, China, based on tolerance values of macroinvertebrates
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TLDR
The biotic indices indicated that the ecological health of the headwater streams was comparably poorer than that of the downstream tributaries, and the combined effect of vulnerable natural conditions and increasing human disturbance is likely the main cause of eco-environmental degradation in the Yellow River headwaters streams.Abstract:
For decades, the river health of the Yellow River source region (YRSR) on the Qinghai-Tibetan Plateau has been a focal issue owing to its unique geographic location and ecological functions. This study investigated the ecological status of the headwater streams, the main stem, and the tributaries of the Yellow River in the YRSR using the tolerance values of macroinvertebrates and those related to biotic indices. The macroinvertebrate assemblages of the headwater streams were characterized by lower biodiversity than the tributaries downstream, based on comparisons of taxonomical composition, functional feeding group composition, and the pollution-tolerant capacity of taxa. The headwater streams had a lower ratio (16%) of pollution-sensitive macroinvertebrate taxa than that of the tributaries downstream (30%). The biotic indices (family- and genus-level biotic indices) indicated that the ecological health of the headwater streams was comparably poorer than that of the downstream tributaries. The combined effect of vulnerable natural conditions and increasing human disturbance is likely the main cause of eco-environmental degradation in the Yellow River headwater streams.read more
Citations
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Study on river health assessment based on a fuzzy matter-element extension model
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Degradation of river ecological quality in Tibet plateau with overgrazing: A quantitative assessment using biotic integrity index improved by random forest
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Lake ecosystem health assessment using a novel hybrid decision-making framework in the Nam Co, Qinghai-Tibet Plateau
TL;DR: Wang et al. as discussed by the authors proposed a novel hybrid decision-making framework combining PFC integration algorithm and TOPSIS model to determine the lake health levels with fuzziness and randomness.
Journal ArticleDOI
Assessment of river health based on a novel multidimensional similarity cloud model in the Lhasa River, Qinghai-Tibet Plateau
Zhengxian Zhang,Yun Li,Xiaogang Wang,Hongze Li,Feidong Zheng,Yipeng Liao,Nanbo Tang,Guangyu Chen,Chang Yang +8 more
TL;DR: Wang et al. as mentioned in this paper investigated the river health in the Qinghai-Tibet Plateau, China, the Lhasa River is selected as study area, and a comprehensive indicator system incorporating ecosystem integrity (physical habitat, water quantity and quality, aquatic life) and non-ecological performance (social services) is constructed.
References
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