Ecosystem-based approaches to develop a monitoring framework for restoring the transitional lagoon ecosystem of Pulicat, India
Monitoring habitat fragmentation (HF) for economically significant species at close-ranges can provide crucial data for deriving the indicators of the Sustainable Development Goals (SDG) 14.4 for complex socio-ecological systems such as coastal lagoons. However, exclusivity of local-scale processes...
Gespeichert in:
Veröffentlicht in: | Ecological engineering 2022-06, Vol.179, p.106608, Article 106608 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
container_start_page | 106608 |
container_title | Ecological engineering |
container_volume | 179 |
creator | Santhanam, Harini Dhyani, Shalini Kundu, Sudip Kumar |
description | Monitoring habitat fragmentation (HF) for economically significant species at close-ranges can provide crucial data for deriving the indicators of the Sustainable Development Goals (SDG) 14.4 for complex socio-ecological systems such as coastal lagoons. However, exclusivity of local-scale processes causing fragmentation, differences in the monitoring approaches, differential interpretations of resilience to disasters, as well as mismatches in reporting outcomes of scientific studies indicate the need for a focussed monitoring framework for transitional ecosystems. Using the example of penaeid prawns (Peneaus sp.), an economically important species from Pulicat lagoon, (an intertidal ecosystem on the east coast of India), the present work presents the development of a practical framework using selective but effective indicators of HF. The overall approach involves establishment of baselines, causal loops, triggering transformations as well as adaptive responses as per the scale and magnitude of HF. In the context of deriving baselines (Level 1), in-situ indicators such as salinity, turbidity, chlorophyll-a concentrations and distribution of seagrass which directly influence the habitat selection are proposed. Derived datasets on nutrient budgets, changes in abundances, Representative Concentration Pathways scenarios 4.5 and 8.5 for climate-induced changes are proposed as external forcings to understand the causative parameters (Level 2). Monitoring extents of tidal influence in ecosystem-based approach for disaster risk reduction (EcoDRR) is proposed to evaluate triggers and adaptive responses (Level 3). The EcoDRR based framework presented has the potential to contribute towards policy-targeted transformative approaches relevant to India's National Fisheries Policy 2020 as well as SDG 14, cross-correlated with targets of other SDGs.
[Display omitted]
•New ecosystem-based modelling framework for transitional coastal lagoon ecosystems•Methodologies to assess evidence and extent of fragmentation at species-level•Eco-DRR and Red List of Ecosystems framework for upscaling to ecosystem-level•Example of Pulicat lagoon ecosystem, South-east coast of India |
doi_str_mv | 10.1016/j.ecoleng.2022.106608 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2667856133</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0925857422000696</els_id><sourcerecordid>2667856133</sourcerecordid><originalsourceid>FETCH-LOGICAL-c337t-d876c8539fce3c392d531828c5b7ba82ca2d6fe37424d4fc420ce5cfec1bd4b3</originalsourceid><addsrcrecordid>eNqFUMFqGzEUFKWBuGk-ISDItetopZVWeyrFJG0g0B5yF9qnJ1vuerWRZBdf-u1dY_ec04NhZt7MEHJXs2XNavWwXSLEAcf1kjPOZ0wppj-QRa1bXqmu4x_JgnVcVlq2zTX5lPOWMdZy2S3I30eI-ZgL7qreZnTUTlOKFjaYaYnU4QGHOFFLd3EMJaYwrqlPdod_YvpNfUw0Yb7gZYO0JDvmUEIc7UAHu45xpPj_BY2e_toPAWz5Qp9HF-xncuXtkPH2cm_I69Pj6-pH9fLz-_Pq20sFQrSlcrpVoKXoPKAA0XEnRa25Btm3vdUcLHfKo2gb3rjGQ8MZoASPUPeu6cUNuT_bzt3e9nNgs437NEfMhivVaqlqIWaWPLMgxZwTejOlsLPpaGpmTkubrbksbU5Lm_PSs-7rWYdzg0PAZDIEHAFdSAjFuBjecfgHQ-2NIg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2667856133</pqid></control><display><type>article</type><title>Ecosystem-based approaches to develop a monitoring framework for restoring the transitional lagoon ecosystem of Pulicat, India</title><source>Access via ScienceDirect (Elsevier)</source><creator>Santhanam, Harini ; Dhyani, Shalini ; Kundu, Sudip Kumar</creator><creatorcontrib>Santhanam, Harini ; Dhyani, Shalini ; Kundu, Sudip Kumar</creatorcontrib><description>Monitoring habitat fragmentation (HF) for economically significant species at close-ranges can provide crucial data for deriving the indicators of the Sustainable Development Goals (SDG) 14.4 for complex socio-ecological systems such as coastal lagoons. However, exclusivity of local-scale processes causing fragmentation, differences in the monitoring approaches, differential interpretations of resilience to disasters, as well as mismatches in reporting outcomes of scientific studies indicate the need for a focussed monitoring framework for transitional ecosystems. Using the example of penaeid prawns (Peneaus sp.), an economically important species from Pulicat lagoon, (an intertidal ecosystem on the east coast of India), the present work presents the development of a practical framework using selective but effective indicators of HF. The overall approach involves establishment of baselines, causal loops, triggering transformations as well as adaptive responses as per the scale and magnitude of HF. In the context of deriving baselines (Level 1), in-situ indicators such as salinity, turbidity, chlorophyll-a concentrations and distribution of seagrass which directly influence the habitat selection are proposed. Derived datasets on nutrient budgets, changes in abundances, Representative Concentration Pathways scenarios 4.5 and 8.5 for climate-induced changes are proposed as external forcings to understand the causative parameters (Level 2). Monitoring extents of tidal influence in ecosystem-based approach for disaster risk reduction (EcoDRR) is proposed to evaluate triggers and adaptive responses (Level 3). The EcoDRR based framework presented has the potential to contribute towards policy-targeted transformative approaches relevant to India's National Fisheries Policy 2020 as well as SDG 14, cross-correlated with targets of other SDGs.
[Display omitted]
•New ecosystem-based modelling framework for transitional coastal lagoon ecosystems•Methodologies to assess evidence and extent of fragmentation at species-level•Eco-DRR and Red List of Ecosystems framework for upscaling to ecosystem-level•Example of Pulicat lagoon ecosystem, South-east coast of India</description><identifier>ISSN: 0925-8574</identifier><identifier>EISSN: 1872-6992</identifier><identifier>DOI: 10.1016/j.ecoleng.2022.106608</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Chlorophyll ; Chlorophyll a ; Climate change ; Coastal ecology ; Coastal lagoons ; Disasters ; EcoDRR ; Ecological monitoring ; Ecosystems ; Fisheries ; Fishery policies ; Fishery policy ; Fragmentation ; Frameworks ; Freshwater crustaceans ; Habitat fragmentation ; Habitat selection ; Habitat suitability ; Habitats ; Indicators ; Lagoons ; Marine crustaceans ; Monitoring ; Nutrient concentrations ; Prawns ; Pulicat lagoon ; Risk management ; Risk reduction ; Sea grasses ; Social-ecological systems ; Sustainable development ; Sustainable Development Goals ; Transitional ecosystems ; Turbidity</subject><ispartof>Ecological engineering, 2022-06, Vol.179, p.106608, Article 106608</ispartof><rights>2022 Elsevier B.V.</rights><rights>Copyright Elsevier BV Jun 2022</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c337t-d876c8539fce3c392d531828c5b7ba82ca2d6fe37424d4fc420ce5cfec1bd4b3</citedby><cites>FETCH-LOGICAL-c337t-d876c8539fce3c392d531828c5b7ba82ca2d6fe37424d4fc420ce5cfec1bd4b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.ecoleng.2022.106608$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Santhanam, Harini</creatorcontrib><creatorcontrib>Dhyani, Shalini</creatorcontrib><creatorcontrib>Kundu, Sudip Kumar</creatorcontrib><title>Ecosystem-based approaches to develop a monitoring framework for restoring the transitional lagoon ecosystem of Pulicat, India</title><title>Ecological engineering</title><description>Monitoring habitat fragmentation (HF) for economically significant species at close-ranges can provide crucial data for deriving the indicators of the Sustainable Development Goals (SDG) 14.4 for complex socio-ecological systems such as coastal lagoons. However, exclusivity of local-scale processes causing fragmentation, differences in the monitoring approaches, differential interpretations of resilience to disasters, as well as mismatches in reporting outcomes of scientific studies indicate the need for a focussed monitoring framework for transitional ecosystems. Using the example of penaeid prawns (Peneaus sp.), an economically important species from Pulicat lagoon, (an intertidal ecosystem on the east coast of India), the present work presents the development of a practical framework using selective but effective indicators of HF. The overall approach involves establishment of baselines, causal loops, triggering transformations as well as adaptive responses as per the scale and magnitude of HF. In the context of deriving baselines (Level 1), in-situ indicators such as salinity, turbidity, chlorophyll-a concentrations and distribution of seagrass which directly influence the habitat selection are proposed. Derived datasets on nutrient budgets, changes in abundances, Representative Concentration Pathways scenarios 4.5 and 8.5 for climate-induced changes are proposed as external forcings to understand the causative parameters (Level 2). Monitoring extents of tidal influence in ecosystem-based approach for disaster risk reduction (EcoDRR) is proposed to evaluate triggers and adaptive responses (Level 3). The EcoDRR based framework presented has the potential to contribute towards policy-targeted transformative approaches relevant to India's National Fisheries Policy 2020 as well as SDG 14, cross-correlated with targets of other SDGs.
[Display omitted]
•New ecosystem-based modelling framework for transitional coastal lagoon ecosystems•Methodologies to assess evidence and extent of fragmentation at species-level•Eco-DRR and Red List of Ecosystems framework for upscaling to ecosystem-level•Example of Pulicat lagoon ecosystem, South-east coast of India</description><subject>Chlorophyll</subject><subject>Chlorophyll a</subject><subject>Climate change</subject><subject>Coastal ecology</subject><subject>Coastal lagoons</subject><subject>Disasters</subject><subject>EcoDRR</subject><subject>Ecological monitoring</subject><subject>Ecosystems</subject><subject>Fisheries</subject><subject>Fishery policies</subject><subject>Fishery policy</subject><subject>Fragmentation</subject><subject>Frameworks</subject><subject>Freshwater crustaceans</subject><subject>Habitat fragmentation</subject><subject>Habitat selection</subject><subject>Habitat suitability</subject><subject>Habitats</subject><subject>Indicators</subject><subject>Lagoons</subject><subject>Marine crustaceans</subject><subject>Monitoring</subject><subject>Nutrient concentrations</subject><subject>Prawns</subject><subject>Pulicat lagoon</subject><subject>Risk management</subject><subject>Risk reduction</subject><subject>Sea grasses</subject><subject>Social-ecological systems</subject><subject>Sustainable development</subject><subject>Sustainable Development Goals</subject><subject>Transitional ecosystems</subject><subject>Turbidity</subject><issn>0925-8574</issn><issn>1872-6992</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNqFUMFqGzEUFKWBuGk-ISDItetopZVWeyrFJG0g0B5yF9qnJ1vuerWRZBdf-u1dY_ec04NhZt7MEHJXs2XNavWwXSLEAcf1kjPOZ0wppj-QRa1bXqmu4x_JgnVcVlq2zTX5lPOWMdZy2S3I30eI-ZgL7qreZnTUTlOKFjaYaYnU4QGHOFFLd3EMJaYwrqlPdod_YvpNfUw0Yb7gZYO0JDvmUEIc7UAHu45xpPj_BY2e_toPAWz5Qp9HF-xncuXtkPH2cm_I69Pj6-pH9fLz-_Pq20sFQrSlcrpVoKXoPKAA0XEnRa25Btm3vdUcLHfKo2gb3rjGQ8MZoASPUPeu6cUNuT_bzt3e9nNgs437NEfMhivVaqlqIWaWPLMgxZwTejOlsLPpaGpmTkubrbksbU5Lm_PSs-7rWYdzg0PAZDIEHAFdSAjFuBjecfgHQ-2NIg</recordid><startdate>202206</startdate><enddate>202206</enddate><creator>Santhanam, Harini</creator><creator>Dhyani, Shalini</creator><creator>Kundu, Sudip Kumar</creator><general>Elsevier B.V</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7QO</scope><scope>7SN</scope><scope>7T7</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H97</scope><scope>L.G</scope><scope>P64</scope></search><sort><creationdate>202206</creationdate><title>Ecosystem-based approaches to develop a monitoring framework for restoring the transitional lagoon ecosystem of Pulicat, India</title><author>Santhanam, Harini ; Dhyani, Shalini ; Kundu, Sudip Kumar</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c337t-d876c8539fce3c392d531828c5b7ba82ca2d6fe37424d4fc420ce5cfec1bd4b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Chlorophyll</topic><topic>Chlorophyll a</topic><topic>Climate change</topic><topic>Coastal ecology</topic><topic>Coastal lagoons</topic><topic>Disasters</topic><topic>EcoDRR</topic><topic>Ecological monitoring</topic><topic>Ecosystems</topic><topic>Fisheries</topic><topic>Fishery policies</topic><topic>Fishery policy</topic><topic>Fragmentation</topic><topic>Frameworks</topic><topic>Freshwater crustaceans</topic><topic>Habitat fragmentation</topic><topic>Habitat selection</topic><topic>Habitat suitability</topic><topic>Habitats</topic><topic>Indicators</topic><topic>Lagoons</topic><topic>Marine crustaceans</topic><topic>Monitoring</topic><topic>Nutrient concentrations</topic><topic>Prawns</topic><topic>Pulicat lagoon</topic><topic>Risk management</topic><topic>Risk reduction</topic><topic>Sea grasses</topic><topic>Social-ecological systems</topic><topic>Sustainable development</topic><topic>Sustainable Development Goals</topic><topic>Transitional ecosystems</topic><topic>Turbidity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Santhanam, Harini</creatorcontrib><creatorcontrib>Dhyani, Shalini</creatorcontrib><creatorcontrib>Kundu, Sudip Kumar</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Biotechnology Research Abstracts</collection><collection>Ecology Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Ecological engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Santhanam, Harini</au><au>Dhyani, Shalini</au><au>Kundu, Sudip Kumar</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Ecosystem-based approaches to develop a monitoring framework for restoring the transitional lagoon ecosystem of Pulicat, India</atitle><jtitle>Ecological engineering</jtitle><date>2022-06</date><risdate>2022</risdate><volume>179</volume><spage>106608</spage><pages>106608-</pages><artnum>106608</artnum><issn>0925-8574</issn><eissn>1872-6992</eissn><abstract>Monitoring habitat fragmentation (HF) for economically significant species at close-ranges can provide crucial data for deriving the indicators of the Sustainable Development Goals (SDG) 14.4 for complex socio-ecological systems such as coastal lagoons. However, exclusivity of local-scale processes causing fragmentation, differences in the monitoring approaches, differential interpretations of resilience to disasters, as well as mismatches in reporting outcomes of scientific studies indicate the need for a focussed monitoring framework for transitional ecosystems. Using the example of penaeid prawns (Peneaus sp.), an economically important species from Pulicat lagoon, (an intertidal ecosystem on the east coast of India), the present work presents the development of a practical framework using selective but effective indicators of HF. The overall approach involves establishment of baselines, causal loops, triggering transformations as well as adaptive responses as per the scale and magnitude of HF. In the context of deriving baselines (Level 1), in-situ indicators such as salinity, turbidity, chlorophyll-a concentrations and distribution of seagrass which directly influence the habitat selection are proposed. Derived datasets on nutrient budgets, changes in abundances, Representative Concentration Pathways scenarios 4.5 and 8.5 for climate-induced changes are proposed as external forcings to understand the causative parameters (Level 2). Monitoring extents of tidal influence in ecosystem-based approach for disaster risk reduction (EcoDRR) is proposed to evaluate triggers and adaptive responses (Level 3). The EcoDRR based framework presented has the potential to contribute towards policy-targeted transformative approaches relevant to India's National Fisheries Policy 2020 as well as SDG 14, cross-correlated with targets of other SDGs.
[Display omitted]
•New ecosystem-based modelling framework for transitional coastal lagoon ecosystems•Methodologies to assess evidence and extent of fragmentation at species-level•Eco-DRR and Red List of Ecosystems framework for upscaling to ecosystem-level•Example of Pulicat lagoon ecosystem, South-east coast of India</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/j.ecoleng.2022.106608</doi></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0925-8574 |
ispartof | Ecological engineering, 2022-06, Vol.179, p.106608, Article 106608 |
issn | 0925-8574 1872-6992 |
language | eng |
recordid | cdi_proquest_journals_2667856133 |
source | Access via ScienceDirect (Elsevier) |
subjects | Chlorophyll Chlorophyll a Climate change Coastal ecology Coastal lagoons Disasters EcoDRR Ecological monitoring Ecosystems Fisheries Fishery policies Fishery policy Fragmentation Frameworks Freshwater crustaceans Habitat fragmentation Habitat selection Habitat suitability Habitats Indicators Lagoons Marine crustaceans Monitoring Nutrient concentrations Prawns Pulicat lagoon Risk management Risk reduction Sea grasses Social-ecological systems Sustainable development Sustainable Development Goals Transitional ecosystems Turbidity |
title | Ecosystem-based approaches to develop a monitoring framework for restoring the transitional lagoon ecosystem of Pulicat, India |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T18%3A47%3A29IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Ecosystem-based%20approaches%20to%20develop%20a%20monitoring%20framework%20for%20restoring%20the%20transitional%20lagoon%20ecosystem%20of%20Pulicat,%20India&rft.jtitle=Ecological%20engineering&rft.au=Santhanam,%20Harini&rft.date=2022-06&rft.volume=179&rft.spage=106608&rft.pages=106608-&rft.artnum=106608&rft.issn=0925-8574&rft.eissn=1872-6992&rft_id=info:doi/10.1016/j.ecoleng.2022.106608&rft_dat=%3Cproquest_cross%3E2667856133%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2667856133&rft_id=info:pmid/&rft_els_id=S0925857422000696&rfr_iscdi=true |