PMID- 35543765
OWN - NLM
STAT- MEDLINE
DCOM- 20220516
LR  - 20220516
IS  - 1573-2959 (Electronic)
IS  - 0167-6369 (Linking)
VI  - 194
IP  - 6
DP  - 2022 May 11
TI  - Development of the Karun macroinvertebrate tolerance index (KMTI) for semi-arid 
      mountainous streams in Iran.
PG  - 421
LID - 10.1007/s10661-022-09834-8 [doi]
AB  - The most robust approach to ecological monitoring and assessment is the use of 
      regionally calibrated indicators. These should be calculated based on collocated 
      biological (response) and physicochemical (stressor) variables and an objective 
      rating and scoring system. In developing countries, a frequent lack of financial 
      and technical resources for monitoring has led to many environmental problems 
      being overlooked, such as the degradation of streams, rivers, and watersheds. In 
      this paper, we propose the Karun Macroinvertebrate Tolerance Index (KMTI) for 
      application to rivers in the Karun River basin, which is the largest watershed in 
      Iran, draining semi-arid mountainous regions. The KMTI is the first biological 
      index specifically developed and calibrated for Iranian water resources. Benthic 
      macroinvertebrates, physical habitat, hydromorphic, and water quality data were 
      collected and measured at 54 sites across four seasons in 2018 and 2019. A total 
      of 101 families of benthic macroinvertebrates belonging to eight classes and 21 
      orders were identified, and tolerance values were determined for 95 families. The 
      KMTI was found to be most efficient in identifying ecological degradation when 
      data were used from winter samples with a discrimination efficiency (DE) 90% and 
      a four-season mean of 84.3%. Also, the best DE of the water quality 
      classification table based on the KMTI index was equal to 86.9%.
CI  - (c) 2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.
FAU - Fathi, Pejman
AU  - Fathi P
AD  - Department of Natural Resources, Isfahan University of Technology, 84156-83111, 
      Isfahan, Iran.
FAU - Dorche, Eisa Ebrahimi
AU  - Dorche EE
AUID- ORCID: 0000-0002-4001-2167
AD  - Department of Natural Resources, Isfahan University of Technology, 84156-83111, 
      Isfahan, Iran. e_ebrahimi@iut.ac.ir.
FAU - Kashkooli, Omid Beyraghdar
AU  - Kashkooli OB
AD  - Department of Natural Resources, Isfahan University of Technology, 84156-83111, 
      Isfahan, Iran.
FAU - Stribling, James
AU  - Stribling J
AD  - Center for Ecological Sciences, Tetra Tech, Inc, Owings Mills, MD, 21117, USA.
FAU - Bruder, Andreas
AU  - Bruder A
AD  - Laboratory of Applied Microbiology, University of Applied Sciences and Arts of 
      Southern Switzerland, Manno, Switzerland.
LA  - eng
PT  - Journal Article
DEP - 20220511
PL  - Netherlands
TA  - Environ Monit Assess
JT  - Environmental monitoring and assessment
JID - 8508350
SB  - IM
MH  - Animals
MH  - Ecosystem
MH  - Environmental Monitoring
MH  - *Invertebrates
MH  - Iran
MH  - *Rivers
MH  - Water Quality
OTO - NOTNLM
OT  - Biotic indices
OT  - Iran
OT  - River bioassessment
OT  - Stressor gradients
OT  - Weighted averaging
EDAT- 2022/05/12 06:00
MHDA- 2022/05/17 06:00
CRDT- 2022/05/11 11:15
PHST- 2021/09/28 00:00 [received]
PHST- 2022/01/29 00:00 [accepted]
PHST- 2022/05/11 11:15 [entrez]
PHST- 2022/05/12 06:00 [pubmed]
PHST- 2022/05/17 06:00 [medline]
AID - 10.1007/s10661-022-09834-8 [pii]
AID - 10.1007/s10661-022-09834-8 [doi]
PST - epublish
SO  - Environ Monit Assess. 2022 May 11;194(6):421. doi: 10.1007/s10661-022-09834-8.