Ecological assessment of anthropogenic impact in marine ecosystems: The case of Bagnoli Bay
Pollutants alter marine systems, interfering with provisioning of ecosystem services; understanding their interaction with ecological communities is therefore critical to inform environmental management. Here we propose a joint compositional- and interaction-based analysis for ecological status asse...
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Veröffentlicht in: | Marine environmental research 2020-06, Vol.158, p.104953-104953, Article 104953 |
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creator | Hay Mele, Bruno Russo, Luca Crocetta, Fabio Gambi, Cristina Dell’Anno, Antonio Danovaro, Roberto Guglielmo, Rosanna Musco, Luigi Patti, Francesco Paolo Riginella, Emilio Tangherlini, Michael Ribera d’Alcalá, Maurizio D’Alelio, Domenico |
description | Pollutants alter marine systems, interfering with provisioning of ecosystem services; understanding their interaction with ecological communities is therefore critical to inform environmental management. Here we propose a joint compositional- and interaction-based analysis for ecological status assessment and apply it on the benthic communities of the Bagnoli Bay. We found that contamination differentially affects the communities’ composition in the bay, with prokaryotes influenced only by depth, and benthos not following the environmental gradient at all. This result is confirmed by analyses of the community structure, whose network structure suggest fast carbon flow and cycling, especially promoted by nematodes and polychaetes; the benthic prey/predator biomass ratio, adjusted for competition, successfully synthesise the status of predator taxa. We found demersal fish communities to separate into a deep, pelagic-like community, and two shallow communities where a shift from exclusive predators to omnivores occurs, moving from the most polluted to the least polluted sampling units. Finally, our study indicate that indices based on interspecific interactions are better indicators of environmental gradients than those defined based on species composition exclusively.
•The joint structure/composition analysis highlight a strong dependence of benthic communities on depth.•Benthic networks’ structure suggests fast carbon flow and cycling in the bay.•We developed network indexes that successfully synthesise the food web functionin. |
doi_str_mv | 10.1016/j.marenvres.2020.104953 |
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•The joint structure/composition analysis highlight a strong dependence of benthic communities on depth.•Benthic networks’ structure suggests fast carbon flow and cycling in the bay.•We developed network indexes that successfully synthesise the food web functionin.</description><identifier>ISSN: 0141-1136</identifier><identifier>EISSN: 1879-0291</identifier><identifier>DOI: 10.1016/j.marenvres.2020.104953</identifier><identifier>PMID: 32217299</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Anthropogenic factors ; Bagnoli Bay ; Benthic communities ; Benthic ecology ; Benthos ; Carbon cycle ; Coastal zone ; Community structure ; Composition ; Contamination ; Demersal fish ; Ecological networks ; Ecosystem services ; Environmental gradient ; Environmental impact ; Environmental management ; Fish ; Human influences ; Interspecific relationships ; Marine ecosystems ; Marine pollution ; Marine systems ; Nematodes ; Omnivores ; Pollutants ; Pollution indicators ; Predators ; Prey ; Prokaryotes ; Provisioning ; Species composition ; Systems ecology</subject><ispartof>Marine environmental research, 2020-06, Vol.158, p.104953-104953, Article 104953</ispartof><rights>2020 Elsevier Ltd</rights><rights>Copyright © 2020 Elsevier Ltd. All rights reserved.</rights><rights>Copyright Elsevier BV Jun 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c399t-c343f495e5cbb7bf748ea238471eaebbb941a70a8dc042748c7b05471fa653293</citedby><cites>FETCH-LOGICAL-c399t-c343f495e5cbb7bf748ea238471eaebbb941a70a8dc042748c7b05471fa653293</cites><orcidid>0000-0001-5579-183X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.marenvres.2020.104953$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32217299$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hay Mele, Bruno</creatorcontrib><creatorcontrib>Russo, Luca</creatorcontrib><creatorcontrib>Crocetta, Fabio</creatorcontrib><creatorcontrib>Gambi, Cristina</creatorcontrib><creatorcontrib>Dell’Anno, Antonio</creatorcontrib><creatorcontrib>Danovaro, Roberto</creatorcontrib><creatorcontrib>Guglielmo, Rosanna</creatorcontrib><creatorcontrib>Musco, Luigi</creatorcontrib><creatorcontrib>Patti, Francesco Paolo</creatorcontrib><creatorcontrib>Riginella, Emilio</creatorcontrib><creatorcontrib>Tangherlini, Michael</creatorcontrib><creatorcontrib>Ribera d’Alcalá, Maurizio</creatorcontrib><creatorcontrib>D’Alelio, Domenico</creatorcontrib><title>Ecological assessment of anthropogenic impact in marine ecosystems: The case of Bagnoli Bay</title><title>Marine environmental research</title><addtitle>Mar Environ Res</addtitle><description>Pollutants alter marine systems, interfering with provisioning of ecosystem services; understanding their interaction with ecological communities is therefore critical to inform environmental management. Here we propose a joint compositional- and interaction-based analysis for ecological status assessment and apply it on the benthic communities of the Bagnoli Bay. We found that contamination differentially affects the communities’ composition in the bay, with prokaryotes influenced only by depth, and benthos not following the environmental gradient at all. This result is confirmed by analyses of the community structure, whose network structure suggest fast carbon flow and cycling, especially promoted by nematodes and polychaetes; the benthic prey/predator biomass ratio, adjusted for competition, successfully synthesise the status of predator taxa. We found demersal fish communities to separate into a deep, pelagic-like community, and two shallow communities where a shift from exclusive predators to omnivores occurs, moving from the most polluted to the least polluted sampling units. Finally, our study indicate that indices based on interspecific interactions are better indicators of environmental gradients than those defined based on species composition exclusively.
•The joint structure/composition analysis highlight a strong dependence of benthic communities on depth.•Benthic networks’ structure suggests fast carbon flow and cycling in the bay.•We developed network indexes that successfully synthesise the food web functionin.</description><subject>Anthropogenic factors</subject><subject>Bagnoli Bay</subject><subject>Benthic communities</subject><subject>Benthic ecology</subject><subject>Benthos</subject><subject>Carbon cycle</subject><subject>Coastal zone</subject><subject>Community structure</subject><subject>Composition</subject><subject>Contamination</subject><subject>Demersal fish</subject><subject>Ecological networks</subject><subject>Ecosystem services</subject><subject>Environmental gradient</subject><subject>Environmental impact</subject><subject>Environmental management</subject><subject>Fish</subject><subject>Human influences</subject><subject>Interspecific relationships</subject><subject>Marine ecosystems</subject><subject>Marine pollution</subject><subject>Marine systems</subject><subject>Nematodes</subject><subject>Omnivores</subject><subject>Pollutants</subject><subject>Pollution indicators</subject><subject>Predators</subject><subject>Prey</subject><subject>Prokaryotes</subject><subject>Provisioning</subject><subject>Species composition</subject><subject>Systems ecology</subject><issn>0141-1136</issn><issn>1879-0291</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNqFkD1PwzAQhi0EgvLxF8ASC0uL7Th1zAaILwmJBSYGy3EvxVViF19aqf8eRwUGFhaf5Hve9-5eQs44m3DGp5eLSWcThHUCnAgmhl-py2KHjHil9JgJzXfJiHHJx5wX0wNyiLhgjJWKl_vkoBCCK6H1iLzfudjGuXe2pRYREDsIPY0NtaH_SHEZ5xC8o75bWtdTH2ge7ANQcBE32EOHV_T1A6izCIPsxs5DbH2um2Oy19gW4eS7HpG3-7vX28fx88vD0-3189gVWvf5lUWTt4fS1bWqGyUrsKKopOJgoa5rLblVzFYzx6TIXadqVuZuY6dlIXRxRC62vssUP1eAvek8OmhbGyCu0AxegrOyUhk9_4Mu4iqFvJ0RUjKZET7NlNpSLkXEBI1ZJp_v3hjOzJC_WZjf_M2Qv9nmn5Wn3_6ruoPZr-4n8AxcbwHIgaw9JIPOQ3Aw8wlcb2bR_zvkC7Xcmm4</recordid><startdate>20200601</startdate><enddate>20200601</enddate><creator>Hay Mele, Bruno</creator><creator>Russo, Luca</creator><creator>Crocetta, Fabio</creator><creator>Gambi, Cristina</creator><creator>Dell’Anno, Antonio</creator><creator>Danovaro, Roberto</creator><creator>Guglielmo, Rosanna</creator><creator>Musco, Luigi</creator><creator>Patti, Francesco Paolo</creator><creator>Riginella, Emilio</creator><creator>Tangherlini, Michael</creator><creator>Ribera d’Alcalá, Maurizio</creator><creator>D’Alelio, Domenico</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>7ST</scope><scope>7T5</scope><scope>7TN</scope><scope>7U7</scope><scope>C1K</scope><scope>F1W</scope><scope>H94</scope><scope>M7N</scope><scope>SOI</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-5579-183X</orcidid></search><sort><creationdate>20200601</creationdate><title>Ecological assessment of anthropogenic impact in marine ecosystems: The case of Bagnoli Bay</title><author>Hay Mele, Bruno ; Russo, Luca ; Crocetta, Fabio ; Gambi, Cristina ; Dell’Anno, Antonio ; Danovaro, Roberto ; Guglielmo, Rosanna ; Musco, Luigi ; Patti, Francesco Paolo ; Riginella, Emilio ; Tangherlini, Michael ; Ribera d’Alcalá, Maurizio ; D’Alelio, Domenico</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c399t-c343f495e5cbb7bf748ea238471eaebbb941a70a8dc042748c7b05471fa653293</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Anthropogenic factors</topic><topic>Bagnoli Bay</topic><topic>Benthic communities</topic><topic>Benthic ecology</topic><topic>Benthos</topic><topic>Carbon cycle</topic><topic>Coastal zone</topic><topic>Community structure</topic><topic>Composition</topic><topic>Contamination</topic><topic>Demersal fish</topic><topic>Ecological networks</topic><topic>Ecosystem services</topic><topic>Environmental gradient</topic><topic>Environmental impact</topic><topic>Environmental management</topic><topic>Fish</topic><topic>Human influences</topic><topic>Interspecific relationships</topic><topic>Marine ecosystems</topic><topic>Marine pollution</topic><topic>Marine systems</topic><topic>Nematodes</topic><topic>Omnivores</topic><topic>Pollutants</topic><topic>Pollution indicators</topic><topic>Predators</topic><topic>Prey</topic><topic>Prokaryotes</topic><topic>Provisioning</topic><topic>Species composition</topic><topic>Systems ecology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hay Mele, Bruno</creatorcontrib><creatorcontrib>Russo, Luca</creatorcontrib><creatorcontrib>Crocetta, Fabio</creatorcontrib><creatorcontrib>Gambi, Cristina</creatorcontrib><creatorcontrib>Dell’Anno, Antonio</creatorcontrib><creatorcontrib>Danovaro, Roberto</creatorcontrib><creatorcontrib>Guglielmo, Rosanna</creatorcontrib><creatorcontrib>Musco, Luigi</creatorcontrib><creatorcontrib>Patti, Francesco Paolo</creatorcontrib><creatorcontrib>Riginella, Emilio</creatorcontrib><creatorcontrib>Tangherlini, Michael</creatorcontrib><creatorcontrib>Ribera d’Alcalá, Maurizio</creatorcontrib><creatorcontrib>D’Alelio, Domenico</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Immunology Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Marine environmental research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hay Mele, Bruno</au><au>Russo, Luca</au><au>Crocetta, Fabio</au><au>Gambi, Cristina</au><au>Dell’Anno, Antonio</au><au>Danovaro, Roberto</au><au>Guglielmo, Rosanna</au><au>Musco, Luigi</au><au>Patti, Francesco Paolo</au><au>Riginella, Emilio</au><au>Tangherlini, Michael</au><au>Ribera d’Alcalá, Maurizio</au><au>D’Alelio, Domenico</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Ecological assessment of anthropogenic impact in marine ecosystems: The case of Bagnoli Bay</atitle><jtitle>Marine environmental research</jtitle><addtitle>Mar Environ Res</addtitle><date>2020-06-01</date><risdate>2020</risdate><volume>158</volume><spage>104953</spage><epage>104953</epage><pages>104953-104953</pages><artnum>104953</artnum><issn>0141-1136</issn><eissn>1879-0291</eissn><abstract>Pollutants alter marine systems, interfering with provisioning of ecosystem services; understanding their interaction with ecological communities is therefore critical to inform environmental management. Here we propose a joint compositional- and interaction-based analysis for ecological status assessment and apply it on the benthic communities of the Bagnoli Bay. We found that contamination differentially affects the communities’ composition in the bay, with prokaryotes influenced only by depth, and benthos not following the environmental gradient at all. This result is confirmed by analyses of the community structure, whose network structure suggest fast carbon flow and cycling, especially promoted by nematodes and polychaetes; the benthic prey/predator biomass ratio, adjusted for competition, successfully synthesise the status of predator taxa. We found demersal fish communities to separate into a deep, pelagic-like community, and two shallow communities where a shift from exclusive predators to omnivores occurs, moving from the most polluted to the least polluted sampling units. Finally, our study indicate that indices based on interspecific interactions are better indicators of environmental gradients than those defined based on species composition exclusively.
•The joint structure/composition analysis highlight a strong dependence of benthic communities on depth.•Benthic networks’ structure suggests fast carbon flow and cycling in the bay.•We developed network indexes that successfully synthesise the food web functionin.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>32217299</pmid><doi>10.1016/j.marenvres.2020.104953</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0001-5579-183X</orcidid></addata></record> |
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subjects | Anthropogenic factors Bagnoli Bay Benthic communities Benthic ecology Benthos Carbon cycle Coastal zone Community structure Composition Contamination Demersal fish Ecological networks Ecosystem services Environmental gradient Environmental impact Environmental management Fish Human influences Interspecific relationships Marine ecosystems Marine pollution Marine systems Nematodes Omnivores Pollutants Pollution indicators Predators Prey Prokaryotes Provisioning Species composition Systems ecology |
title | Ecological assessment of anthropogenic impact in marine ecosystems: The case of Bagnoli Bay |
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