Journal
MARINE POLLUTION BULLETIN
Volume 175, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.marpolbul.2022.113355
Keywords
Macrobenthic fauna; Anthropogenic; Biological trait analysis; Functional structure; RLQ; fourth-corner combined analysis
Funding
- Earth Sys-tem Sciences Organization (ESSO), Ministry of Earth Sciences (MoES), Govt. of India
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The use of functional information of taxa is a promising approach to uncover the underlying mechanism of ecosystem functioning. This study assessed the functional response of subtidal macrobenthos with multiple stressors using biological trait analysis (BTA) and found significant variation in trait composition between disturbed and undisturbed areas.
The use of functional information of taxa is a promising approach to uncover the underlying mechanism of ecosystem functioning. We used biological trait analysis (BTA) to assess the functional response of subtidal macrobenthos with multiple stressors. Seventeen environmental variables from 42 stations of five coastal districts were assessed along the southeast coast of India. Dominant fauna was assigned into 20 categories belonging to six functional traits. Additionally, we used five ecological groups (EG) of AMBI as a covariable trait to validate functional traits and EG relationship. The trait composition in the communities showed significant variation between undisturbed and disturbed areas. RLQ/Fourth corner combined approach illustrated the effects of stressors and isolated the corresponding species associated with different stressors. Smaller, short-lived, depositfeeding, and discretely motile fauna occurred at the disturbed areas, whereas, larger, long-lived, and highly motile at the undisturbed area. Dissolved oxygen, organic enrichment, and metals concentration were the main environmental descriptors influencing the trait composition. The results highlight the importance of the BTA approach to uncover the response of the macrobenthic community to anthropogenic disturbances-driven impacts in multi-stressed near-shore coastal ecosystems.
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