大型底栖动物快速评价指数BMWP在太子河流域的应用
发布时间：2018-07-21 13:45
【摘要】：大型底栖动物快速生物评价方法可快速判断河流在人为活动影响下的生态状况,对河流健康评价研究和河流保护与管理具有重要的意义。基于太子河46个样点的大型底栖动物监测数据,探讨大型底栖动物生物监测工作组(Biological Monitoring Working Party,BMWP)指数的适用性。采用方差分析研究了BMWP指数对重要水环境参数的响应程度,研究结果表明BMWP指数随地表水水质级别的降低呈显著地下降趋势。利用回归分析研究了BMWP指数与其他生物指数、生境状况的回归关系,结果显示BMWP指数与底栖动物香农多样性指数(R2=0.74)、底栖动物完整性指数(R2=0.85)以及生境质量评估指数(R2=0.60)均呈显著线性回归关系(p0.01),表明BMWP指数可以有效指示与反映不同河段的生物状况及其栖息地质量。利用BMWP指数对采样点进行的河流健康评价结果显示太子河46个采样点中,极好和良好的采样点占45.7%,一般的样点占21.7%,差和极差的样点为32.6%。BMWP指数对河流生态状况指示灵敏,能够准确反映河流健康状况。同时,野外监测、物种鉴定和指数计算简便,是河流健康评价中表征能力较强的快速生物评价指数。
[Abstract]:The rapid biological assessment method of macrobenthos can quickly judge the ecological status of rivers under the influence of human activities. It is of great significance to the study of river health assessment and river protection and management. Based on the monitoring data of macrobenthos in 46 samples of Taizi River, the applicability of the Biological Monitoring working Party BMWP index was discussed. The response of BMWP index to important water environmental parameters was studied by variance analysis. The results showed that BMWP index decreased significantly with the decrease of surface water quality level. Regression analysis was used to study the regression relationship between BMWP index and other biological indexes and habitat status. The results showed that there was a significant linear regression relationship between BMWP index and Shannon diversity index (R2N 0.74), zoobenthos integrity index (R2C0.85) and habitat quality assessment index (R2C0.60) (p0.01), which indicated that BMWP index could effectively indicate and reflect different river segments. And the quality of their habitats. The results of river health evaluation by using BMWP index showed that among the 46 sampling sites in Taibei River, the excellent and good sampling points accounted for 45.7, the normal samples accounted for 21.7, the difference and extreme points were 32.6.BMWP index was sensitive to the ecological condition of the river. Can accurately reflect the health of the river. At the same time, the field monitoring, species identification and index calculation are simple, which is a fast biological evaluation index in river health evaluation.
【作者单位】： 山东农业大学水利土木工程学院;中国水利水电科学研究院水环境研究所;中国水利水电科学研究院流域水循环模拟与调控国家重点实验室;
【基金】：国家自然科学基金(51439007,51479219,51208483) 流域水循环模拟与调控国家重点实验室培育项目(2014RC01)~~
【分类号】：X826
，
本文编号：2135715
[Abstract]:The rapid biological assessment method of macrobenthos can quickly judge the ecological status of rivers under the influence of human activities. It is of great significance to the study of river health assessment and river protection and management. Based on the monitoring data of macrobenthos in 46 samples of Taizi River, the applicability of the Biological Monitoring working Party BMWP index was discussed. The response of BMWP index to important water environmental parameters was studied by variance analysis. The results showed that BMWP index decreased significantly with the decrease of surface water quality level. Regression analysis was used to study the regression relationship between BMWP index and other biological indexes and habitat status. The results showed that there was a significant linear regression relationship between BMWP index and Shannon diversity index (R2N 0.74), zoobenthos integrity index (R2C0.85) and habitat quality assessment index (R2C0.60) (p0.01), which indicated that BMWP index could effectively indicate and reflect different river segments. And the quality of their habitats. The results of river health evaluation by using BMWP index showed that among the 46 sampling sites in Taibei River, the excellent and good sampling points accounted for 45.7, the normal samples accounted for 21.7, the difference and extreme points were 32.6.BMWP index was sensitive to the ecological condition of the river. Can accurately reflect the health of the river. At the same time, the field monitoring, species identification and index calculation are simple, which is a fast biological evaluation index in river health evaluation.
【作者单位】： 山东农业大学水利土木工程学院;中国水利水电科学研究院水环境研究所;中国水利水电科学研究院流域水循环模拟与调控国家重点实验室;
【基金】：国家自然科学基金(51439007,51479219,51208483) 流域水循环模拟与调控国家重点实验室培育项目(2014RC01)~~
【分类号】：X826
，
本文编号：2135715
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