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利用多指标模型评估亚洲温带地区河流生态健康,土地利用/土地覆被是调控养分、有机物和鱼类组成的主要因素。

Ecological River Health Assessment Using Multi-Metric Models in an Asian Temperate Region with Land Use/Land Cover as the Primary Factor Regulating Nutrients, Organic Matter, and Fish Composition.

机构信息

Department of Bioscience and Biotechnology, Chungnam National University, Daejeon 34134, Korea.

出版信息

Int J Environ Res Public Health. 2022 Jul 29;19(15):9305. doi: 10.3390/ijerph19159305.

DOI:10.3390/ijerph19159305
PMID:35954657
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9368116/
Abstract

This study was performed to determine the ecological health of a temperate river over nine years (2011−2019); it also analyzed the trophic structure and linkage of nutrients (nitrogen [N] and phosphorus [P]), sestonic chlorophyll-a (CHL-a), and the top trophic fish in the Asian monsoon region. Water chemistry, trophic indicators, and tolerance guilds were primarily influenced by land use and land cover (LULC); the magnitude of variation was also related to geographic elevation, artificial physical barriers (weirs), and point sources. Levels of nutrients, organic matter, and CHL-a largely influenced by the intensity of the monsoon seasonality for a particular LULC and stream order. Mann−Kendall tests based on a long-term annual dataset showed that annual organic matter and CHL-a increased over time because of longer hydraulic residence time after weir construction. The results of empirical nutrient models suggested that P was the key determinant for algal growth (CHL-a); the strong P-limitation was supported by N:P ratios > 17 in ambient waters. Linear regression models and canonical correspondence analysis (CCA) were used to determine the influences of LULC and water quality on the trophic/tolerance linkages, fish community compositions and structures, and river health. Tolerant species had a positive functional relationship with nutrient enrichment through total phosphorus (TP) (R2 = 0.55, p < 0.05) and total nitrogen (TN) (R2 = 0.57, p < 0.05), organic pollution in terms of biological oxygen demand (BOD) (R2 = 0.41, p < 0.05) and chemical oxygen demand (COD) (R2 = 0.49, p < 0.05), and algal growth (R2 = 0.47, p < 0.05); sensitive species exhibited the opposite pattern. The degradation of river health, based on the multi-metric index of biotic integrity (IBI) model, was evident in the downriver region (“fair−poor” condition) and was supported by the quantitative fish community index (QFCI) model. The outcomes suggested that the degradation and variation of ecological river health, trophic linkages of water chemistry (N, P)-algal biomass-fish, were largely controlled by the land use pattern and construction of physical barriers in relation to the Asian monsoon.

摘要

本研究旨在确定九年来(2011-2019 年)一条温带河流的生态健康状况;分析营养物质(氮[N]和磷[P])、悬浮叶绿素-a(CHL-a)和亚洲季风区顶级掠食性鱼类的营养结构和联系。水化学、营养指标和耐受力等级主要受土地利用和土地覆盖(LULC)的影响;变化的幅度也与地理海拔、人工物理障碍(堰坝)和点源有关。营养物、有机物和 CHL-a 的水平主要受到特定 LULC 和溪流等级的季风季节性强度的影响。基于长期年度数据集的 Mann-Kendall 检验表明,由于堰坝建设后水力停留时间延长,年度有机物和 CHL-a 随着时间的推移而增加。经验营养模型的结果表明,P 是藻类生长(CHL-a)的关键决定因素;在环境水中 N:P 比>17 支持强烈的 P 限制。线性回归模型和典范对应分析(CCA)用于确定土地利用和水质对营养/耐受力联系、鱼类群落组成和结构以及河流健康的影响。通过总磷(TP)(R2=0.55,p<0.05)和总氮(TN)(R2=0.57,p<0.05)、生物需氧量(BOD)(R2=0.41,p<0.05)和化学需氧量(COD)(R2=0.49,p<0.05)表示的有机污染,以及藻类生长(R2=0.47,p<0.05),耐受物种与营养富集呈正功能关系;敏感物种则表现出相反的模式。基于生物完整性多指标指数(IBI)模型的河流健康退化在下游地区(“一般较差”状况)明显,并得到定量鱼类群落指数(QFCI)模型的支持。结果表明,生态河流健康的退化和变化,水化学营养物质(N,P)-藻类生物量-鱼类的营养联系,主要受与亚洲季风相关的土地利用模式和物理障碍建设的控制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd45/9368116/8e14f9996399/ijerph-19-09305-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd45/9368116/556681ff753f/ijerph-19-09305-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd45/9368116/8382a09911f5/ijerph-19-09305-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd45/9368116/ebf908276874/ijerph-19-09305-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd45/9368116/b58295c82da4/ijerph-19-09305-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd45/9368116/c3dcea93d387/ijerph-19-09305-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd45/9368116/e51924b43491/ijerph-19-09305-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd45/9368116/8e14f9996399/ijerph-19-09305-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd45/9368116/556681ff753f/ijerph-19-09305-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd45/9368116/8382a09911f5/ijerph-19-09305-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd45/9368116/ebf908276874/ijerph-19-09305-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd45/9368116/b58295c82da4/ijerph-19-09305-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd45/9368116/c3dcea93d387/ijerph-19-09305-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd45/9368116/e51924b43491/ijerph-19-09305-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd45/9368116/8e14f9996399/ijerph-19-09305-g007.jpg

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