Generalized Linear Models to Identify Key Hydromorphological and Chemical Variables Determining the Occurrence of Macroinvertebrates in the Guayas River Basin (Ecuador)

被引:28
作者
Damanik-Ambarita, Minar Naomi [1 ]
Everaert, Gert [1 ]
Forio, Marie Anne Eurie [1 ]
Thi Hanh Tien Nguyen [1 ,2 ]
Lock, Koen [1 ]
Musonge, Peace Liz Sasha [1 ]
Suhareva, Natalija [1 ,3 ]
Dominguez-Granda, Luis [4 ]
Bennetsen, Elina [1 ]
Boets, Pieter [1 ,5 ]
Goethals, Peter L. M. [1 ]
机构
[1] Univ Ghent, Dept Appl Ecol & Environm Biol, Lab Environm Toxicol & Aquat Ecol, Jozef Plateaustr 22, B-9000 Ghent, Belgium
[2] Res Inst Aquaculture 1, Tu Son, Bac Ninh, Vietnam
[3] Latvian Inst Aquat Ecol, Voleru St 4, LV-1007 Riga, Latvia
[4] Escuela Super Politecn Litoral ESPOL, Ctr Agua & Desarrollo Sustentable, Campus Gustavo Galindo,Km 30-5 Via Perimetral, Guayaquil 09015863, Ecuador
[5] Prov Ctr Environm Res, Godshuizenlaan 95, B-9000 Ghent, Belgium
关键词
generalized linear models; sensitivity analysis; bioassessments; biotic integrity management; Guayas River basin; ECOLOGICAL WATER-QUALITY; LAND-USE; BENTHIC MACROINVERTEBRATES; HABITAT SUITABILITY; MULTIMETRIC INDEX; NETWORK MODELS; STREAMS; COMMUNITIES; ASSEMBLAGES; PREDICTIONS;
D O I
10.3390/w8070297
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The biotic integrity of the Guayas River basin in Ecuador is at environmental risk due to extensive anthropogenic activities. We investigated the potential impacts of hydromorphological and chemical variables on biotic integrity using macroinvertebrate-based bioassessments. The bioassessment methods utilized included the Biological Monitoring Working Party adapted for Colombia (BMWP-Col) and the average score per taxon (ASPT), via an extensive sampling campaign that was completed throughout the river basin at 120 sampling sites. The BMWP-Col classification ranged from very bad to good, and from probable severe pollution to clean water based on the ASPT scores. Generalized linear models (GLMs) and sensitivity analysis were used to relate the bioassessment index to hydromorphological and chemical variables. It was found that elevation, nitrate-N, sediment angularity, logs, presence of macrophytes, flow velocity, turbidity, bank shape, land use and chlorophyll were the key environmental variables affecting the BMWP-Col. From the analyses, it was observed that the rivers at the upstream higher elevations of the river basin were in better condition compared to lowland systems and that a higher flow velocity was linked to a better BMWP-Col score. The nitrate concentrations were very low in the entire river basin and did not relate to a negative impact on the macroinvertebrate communities. Although the results of the models provided insights into the ecosystem, cross fold model development and validation also showed that there was a level of uncertainty in the outcomes. However, the results of the models and sensitivity analysis can support water management actions to determine and focus on alterable variables, such as the land use at different elevations, monitoring of nitrate and chlorophyll concentrations, macrophyte presence, sediment transport and bank stability.
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页数:23
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