Development of a multimetric index based on aquatic macroinvertebrate communities to assess water quality of rice fields in southern Brazil

被引:27
|
作者
Melo, Susane [1 ]
Stenert, Cristina [1 ]
Dalzochio, Marina Schmidt [1 ]
Maltchik, Leonardo [1 ]
机构
[1] Univ Vale Rio dos Sinos UNISINOS, Lab Ecol & Conservat Aquat Ecosyst, BR-93022000 Sao Leopoldo, RS, Brazil
关键词
Agroecosystem; Biomonitoring; Biotic indices; Cultivation system; Wetland; BENTHIC MACROINVERTEBRATES; BIOLOGICAL CONDITION; CHIRONOMID LARVAE; BIOTIC INTEGRITY; NATURAL WETLANDS; STREAMS; DIVERSITY; INVERTEBRATES; SYSTEM; RIVERS;
D O I
10.1007/s10750-014-1957-7
中图分类号
Q17 [水生生物学];
学科分类号
071004 ;
摘要
In the last decade, dozens of indices based on macroinvertebrates were developed to evaluate lotic ecosystems. In contrast, very few of these indices have been applied in lentic ecosystems. Natural wetlands in southern Brazil are increasingly threatened by the expansion of irrigated rice. The main objective of this study was to develop a multimetric index based on macroinvertebrates to evaluate the water quality of natural wetlands and rice fields in southern Brazil. Three samplings were carried out over the rice growth cycle in four conventional and four biodynamic rice fields, and four natural wetlands. The wetlands were considered as reference sites, and the conventional and biodynamic rice crops were considered as manipulated sites at different levels of degradation. Seven metrics were included in the final index after passing though sensitivity and correlation tests. The results indicated that our index has a power to detect a gradient of variation in water quality. Natural wetlands had the best water quality, biodynamic crops had intermediate water quality, and the conventional crops had the lowest water quality. We believe that development of this macroinvertebrate-based multimetric index of water quality could be an important tool for monitoring natural wetlands and rice crops in southern Brazil.
引用
收藏
页码:1 / 14
页数:14
相关论文
共 46 条
  • [31] Development of an index based on fish, macroinvertebrates, phytoplankton, and physicochemical properties to assess urban aquatic ecosystems in Jinan, China
    Liu, Linfei
    Xu, Zongxue
    Yin, Xuwang
    Li, Fulin
    Wang, Mi
    RIVER RESEARCH AND APPLICATIONS, 2023, 39 (01) : 73 - 83
  • [32] A comparative analysis of biotic indices that use macroinvertebrates to assess water quality in a coastal river of Parana state, southern Brazil
    Goncalves, Fabio Bertolini
    de Menezes, Marcia Santos
    BIOTA NEOTROPICA, 2011, 11 (04): : 27 - 36
  • [33] Biological water quality assessment of the white-clawed crayfish habitat based on macroinvertebrate communities: Usefulness for its conservation
    Grandjean, F
    Momon, J
    Bramard, M
    BULLETIN FRANCAIS DE LA PECHE ET DE LA PISCICULTURE, 2003, (370-71): : 115 - 125
  • [34] Water quality decreased by urbanisation and Pinus based silviculture in Southern Brazil
    Martins, Camila Schaefer
    Crisigiovanni, Enzo Luigi
    de Oliveira Filho, Paulo Costa
    do Nascimento, Elynton Alves
    INTERNATIONAL JOURNAL OF RIVER BASIN MANAGEMENT, 2024, 22 (04) : 461 - 470
  • [35] Development of modified integrated water quality index to assess the surface water quality: a case study of Tuo River, China
    Fu, Dong
    Chen, Shu
    Chen, Yongcan
    Yi, Zhenyan
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2022, 194 (05)
  • [36] Aquatic Macroinvertebrate Communities and Water Quality at Buffered and Non-Buffered Wetland Sites on Federal Waterfowl Production Areas in the Rainwater Basin, Nebraska
    Riens, John R.
    Schwarz, Matt S.
    Mustafa, Fatima
    Hoback, W. Wyatt
    WETLANDS, 2013, 33 (06) : 1025 - 1036
  • [37] Using macroinvertebrate-based biotic indices and diversity indices to assess water quality: A case study on the Karasu Stream (Kastamonu, Türkiye)
    Etriieki, Abdulhamed M. Omar
    Kucukbasmaci, Ibrahim
    ECOHYDROLOGY, 2024, 17 (02)
  • [38] Next Generation High Throughput Sequencing to Assess Microbial Communities: An Application Based on Water Quality
    Wani, Gowher A.
    Khan, Mohd Asgar
    Dar, Mudasir A.
    Shah, Manzoor A.
    Reshi, Zafar A.
    BULLETIN OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY, 2021, 106 (05) : 727 - 733
  • [39] A new macroinvertebrate-based multimetric index (I2M2) to evaluate ecological quality of French wadeable streams fulfilling the WFD demands: A taxonomical and trait approach
    Mondy, Cedric Pascal
    Villeneuve, Bertrand
    Archaimbault, Virginie
    Usseglio-Polatera, Philippe
    ECOLOGICAL INDICATORS, 2012, 18 : 452 - 467
  • [40] A Machine Learning-Based Framework for Water Quality Index Estimation in the Southern Bug River
    Masood, Adil
    Niazkar, Majid
    Zakwan, Mohammad
    Piraei, Reza
    WATER, 2023, 15 (20)