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Conceptual system maps to guide research and management of multiple ecosystem services and disservices
Perspectives in Ecology and Conservation, Volume: 23, Issue: 2, Pages: 141 - 150
Swansea University Author:
Miguel Lurgi Rivera
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DOI (Published version): 10.1016/j.pecon.2025.04.004
Abstract
Integrated assessments of multiple natural capital and ecosystem services and disservices (ESD) are needed to guide research and management in South America. Unfortunately, a poor understanding of the drivers of ESD and a scarcity of data undermine these efforts. Here, we combine expert knowledge an...
| Published in: | Perspectives in Ecology and Conservation |
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| ISSN: | 2530-0644 |
| Published: |
Elsevier BV
2025
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa69728 |
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2025-06-12T14:07:33Z |
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2025-06-13T13:34:50Z |
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Here, we combine expert knowledge and network analyses to create conceptual system maps to support the research and management of multiple ESD. Using the example of the Lules River watershed (northwestern Argentina), we integrated the biotic, abiotic, socio-economic, and policy drivers of five ESD selected due to their relevance to human well-being and biodiversity conservation in the area: (i) aboveground carbon stock; (ii) water quality; (iii) water quantity; (iv) dengue transmission; and (v) leishmaniasis transmission. Through facilitated activities, we encoded expert knowledge into networks representing drivers and causal interactions between those drivers. We recorded 43 drivers, of which 18 were identified as key drivers based on network metrics. The majority of key drivers were abiotic and socio-economic drivers (38.9% and 33.3% of 18, respectively), and we found potential information sources for all of these key drivers. Conceptual system maps provided significant benefits for guiding ESD research and ecosystem-based management. First, they formalised our current understanding of the system and provided a model that can be updated with new information. Second, they can be analysed through established network metrics to uncover relationships critical to effective system-level management and identify key drivers for data-gathering efforts. These maps offer a rapid and interdisciplinary tool to overcome existing barriers to integrated assessments in data-poor areas and are a powerful method to support system-based approaches to environmental management.</abstract><type>Journal Article</type><journal>Perspectives in Ecology and Conservation</journal><volume>23</volume><journalNumber>2</journalNumber><paginationStart>141</paginationStart><paginationEnd>150</paginationEnd><publisher>Elsevier BV</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic>2530-0644</issnElectronic><keywords>Argentina; Data availability; Expert knowledge; Natural capital; Network analysis</keywords><publishedDay>30</publishedDay><publishedMonth>6</publishedMonth><publishedYear>2025</publishedYear><publishedDate>2025-06-30</publishedDate><doi>10.1016/j.pecon.2025.04.004</doi><url/><notes/><college>COLLEGE NANME</college><department>Biosciences Geography and Physics School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>BGPS</DepartmentCode><institution>Swansea University</institution><apcterm>Another institution paid the OA fee</apcterm><funders>This work was funded by PICT 2020 SERIEA 03355 (FONCyT; Argentina).</funders><projectreference/><lastEdited>2025-06-12T15:12:16.4718332</lastEdited><Created>2025-06-12T15:02:23.2955449</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Biosciences, Geography and Physics - Biosciences</level></path><authors><author><firstname>Pablo</firstname><surname>García-Díaz</surname><orcid>0000-0001-5402-0611</orcid><order>1</order></author><author><firstname>Yohana G.</firstname><surname>Jimenez</surname><order>2</order></author><author><firstname>Carlos</firstname><surname>Molineri</surname><orcid>0000-0003-2662-624X</orcid><order>3</order></author><author><firstname>María G.</firstname><surname>Quintana</surname><orcid>0000-0003-0972-477X</orcid><order>4</order></author><author><firstname>Ezequiel</firstname><surname>Aráoz</surname><order>5</order></author><author><firstname>Agustina</firstname><surname>Malizia</surname><order>6</order></author><author><firstname>Oriana Osinaga</firstname><surname>Acosta</surname><order>7</order></author><author><firstname>Priscila A.</firstname><surname>Powell</surname><orcid>0000-0003-3911-0912</orcid><order>8</order></author><author><firstname>Cecilia</firstname><surname>Blundo</surname><order>9</order></author><author><firstname>Sergio J.</firstname><surname>Ceballos</surname><order>10</order></author><author><firstname>Ana D.</firstname><surname>Fuenzalida</surname><order>11</order></author><author><firstname>M. de Lourdes</firstname><surname>Gultemirian</surname><order>12</order></author><author><firstname>Guillermo</firstname><surname>Hankel</surname><orcid>0000-0002-6766-8959</orcid><order>13</order></author><author><firstname>Giselle A.</firstname><surname>Rodríguez</surname><orcid>0000-0001-9331-3900</orcid><order>14</order></author><author><firstname>Sebastián</firstname><surname>Albanesi</surname><order>15</order></author><author><firstname>Ignacio</firstname><surname>Gasparri</surname><order>16</order></author><author><firstname>Alfredo</firstname><surname>Grau</surname><order>17</order></author><author><firstname>Miguel</firstname><surname>Lurgi Rivera</surname><orcid>0000-0001-9891-895X</orcid><order>18</order></author><author><firstname>Julieta</firstname><surname>Carilla</surname><orcid>0000-0002-7034-4154</orcid><order>19</order></author></authors><documents><document><filename>69728__34471__333632b3c0904a17974a92e246b71d7d.pdf</filename><originalFilename>69728.VOR.pdf</originalFilename><uploaded>2025-06-12T15:06:15.8544504</uploaded><type>Output</type><contentLength>5835967</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>This is an open access article under the CC BY-NC-ND license.</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>http://creativecommons.org/licenses/by-nc-nd/4.0/</licence></document></documents><OutputDurs/></rfc1807> |
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2025-06-12T15:12:16.4718332 v2 69728 2025-06-12 Conceptual system maps to guide research and management of multiple ecosystem services and disservices 947df89d116a1ab75515e421089e0443 0000-0001-9891-895X Miguel Lurgi Rivera Miguel Lurgi Rivera true false 2025-06-12 BGPS Integrated assessments of multiple natural capital and ecosystem services and disservices (ESD) are needed to guide research and management in South America. Unfortunately, a poor understanding of the drivers of ESD and a scarcity of data undermine these efforts. Here, we combine expert knowledge and network analyses to create conceptual system maps to support the research and management of multiple ESD. Using the example of the Lules River watershed (northwestern Argentina), we integrated the biotic, abiotic, socio-economic, and policy drivers of five ESD selected due to their relevance to human well-being and biodiversity conservation in the area: (i) aboveground carbon stock; (ii) water quality; (iii) water quantity; (iv) dengue transmission; and (v) leishmaniasis transmission. Through facilitated activities, we encoded expert knowledge into networks representing drivers and causal interactions between those drivers. We recorded 43 drivers, of which 18 were identified as key drivers based on network metrics. The majority of key drivers were abiotic and socio-economic drivers (38.9% and 33.3% of 18, respectively), and we found potential information sources for all of these key drivers. Conceptual system maps provided significant benefits for guiding ESD research and ecosystem-based management. First, they formalised our current understanding of the system and provided a model that can be updated with new information. Second, they can be analysed through established network metrics to uncover relationships critical to effective system-level management and identify key drivers for data-gathering efforts. These maps offer a rapid and interdisciplinary tool to overcome existing barriers to integrated assessments in data-poor areas and are a powerful method to support system-based approaches to environmental management. Journal Article Perspectives in Ecology and Conservation 23 2 141 150 Elsevier BV 2530-0644 Argentina; Data availability; Expert knowledge; Natural capital; Network analysis 30 6 2025 2025-06-30 10.1016/j.pecon.2025.04.004 COLLEGE NANME Biosciences Geography and Physics School COLLEGE CODE BGPS Swansea University Another institution paid the OA fee This work was funded by PICT 2020 SERIEA 03355 (FONCyT; Argentina). 2025-06-12T15:12:16.4718332 2025-06-12T15:02:23.2955449 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Biosciences Pablo García-Díaz 0000-0001-5402-0611 1 Yohana G. Jimenez 2 Carlos Molineri 0000-0003-2662-624X 3 María G. Quintana 0000-0003-0972-477X 4 Ezequiel Aráoz 5 Agustina Malizia 6 Oriana Osinaga Acosta 7 Priscila A. Powell 0000-0003-3911-0912 8 Cecilia Blundo 9 Sergio J. Ceballos 10 Ana D. Fuenzalida 11 M. de Lourdes Gultemirian 12 Guillermo Hankel 0000-0002-6766-8959 13 Giselle A. Rodríguez 0000-0001-9331-3900 14 Sebastián Albanesi 15 Ignacio Gasparri 16 Alfredo Grau 17 Miguel Lurgi Rivera 0000-0001-9891-895X 18 Julieta Carilla 0000-0002-7034-4154 19 69728__34471__333632b3c0904a17974a92e246b71d7d.pdf 69728.VOR.pdf 2025-06-12T15:06:15.8544504 Output 5835967 application/pdf Version of Record true This is an open access article under the CC BY-NC-ND license. true eng http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| title |
Conceptual system maps to guide research and management of multiple ecosystem services and disservices |
| spellingShingle |
Conceptual system maps to guide research and management of multiple ecosystem services and disservices Miguel Lurgi Rivera |
| title_short |
Conceptual system maps to guide research and management of multiple ecosystem services and disservices |
| title_full |
Conceptual system maps to guide research and management of multiple ecosystem services and disservices |
| title_fullStr |
Conceptual system maps to guide research and management of multiple ecosystem services and disservices |
| title_full_unstemmed |
Conceptual system maps to guide research and management of multiple ecosystem services and disservices |
| title_sort |
Conceptual system maps to guide research and management of multiple ecosystem services and disservices |
| author_id_str_mv |
947df89d116a1ab75515e421089e0443 |
| author_id_fullname_str_mv |
947df89d116a1ab75515e421089e0443_***_Miguel Lurgi Rivera |
| author |
Miguel Lurgi Rivera |
| author2 |
Pablo García-Díaz Yohana G. Jimenez Carlos Molineri María G. Quintana Ezequiel Aráoz Agustina Malizia Oriana Osinaga Acosta Priscila A. Powell Cecilia Blundo Sergio J. Ceballos Ana D. Fuenzalida M. de Lourdes Gultemirian Guillermo Hankel Giselle A. Rodríguez Sebastián Albanesi Ignacio Gasparri Alfredo Grau Miguel Lurgi Rivera Julieta Carilla |
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Perspectives in Ecology and Conservation |
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23 |
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141 |
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2025 |
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Swansea University |
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10.1016/j.pecon.2025.04.004 |
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Elsevier BV |
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Faculty of Science and Engineering |
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facultyofscienceandengineering |
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| description |
Integrated assessments of multiple natural capital and ecosystem services and disservices (ESD) are needed to guide research and management in South America. Unfortunately, a poor understanding of the drivers of ESD and a scarcity of data undermine these efforts. Here, we combine expert knowledge and network analyses to create conceptual system maps to support the research and management of multiple ESD. Using the example of the Lules River watershed (northwestern Argentina), we integrated the biotic, abiotic, socio-economic, and policy drivers of five ESD selected due to their relevance to human well-being and biodiversity conservation in the area: (i) aboveground carbon stock; (ii) water quality; (iii) water quantity; (iv) dengue transmission; and (v) leishmaniasis transmission. Through facilitated activities, we encoded expert knowledge into networks representing drivers and causal interactions between those drivers. We recorded 43 drivers, of which 18 were identified as key drivers based on network metrics. The majority of key drivers were abiotic and socio-economic drivers (38.9% and 33.3% of 18, respectively), and we found potential information sources for all of these key drivers. Conceptual system maps provided significant benefits for guiding ESD research and ecosystem-based management. First, they formalised our current understanding of the system and provided a model that can be updated with new information. Second, they can be analysed through established network metrics to uncover relationships critical to effective system-level management and identify key drivers for data-gathering efforts. These maps offer a rapid and interdisciplinary tool to overcome existing barriers to integrated assessments in data-poor areas and are a powerful method to support system-based approaches to environmental management. |
| published_date |
2025-06-30T05:30:27Z |
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11.096089 |

