Modeling water regulation ecosystem services: A review in the context of ecosystem accounting

Publikation: Beitrag in FachzeitschriftÜbersichtsarbeitForschungPeer-Review

Autoren

  • Stoyan Nedkov
  • Sylvie Campagne
  • Bilyana Borisova
  • Petr Krpec
  • Hristina Prodanova
  • Ioannis P. Kokkoris
  • Desislava Hristova
  • Solen Le Clec'h
  • Fernando Santos-Martin
  • Benjamin Burkhard
  • Eleni S. Bekri
  • Vanya Stoycheva
  • Adrián G. Bruzón
  • Panayotis Dimopoulos

Externe Organisationen

  • Bulgarian Academy of Sciences (BAS)
  • Université Paris 6
  • University of Sofia
  • Akademie Věd České Republiky (AV ČR)
  • University of Patras
  • Wageningen University and Research
  • Universität Rey Juan Carlos (URJC)
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Aufsatznummer101458
FachzeitschriftEcosystem Services
Jahrgang56
Frühes Online-Datum28 Juni 2022
PublikationsstatusVeröffentlicht - Aug. 2022

Abstract

Natural Capital Accounting (NCA) has evolved rapidly in recent years through substantial efforts of both international organizations and the scientific community. Water regulation ecosystem services (ES) are key elements of regulating services in ecosystem accounting, with most relevant studies strongly relying on models for ES quantification up to now. In this paper, we provide a review of modeling efforts for water regulation ES based on 148 scientific papers, properly systematized, analyzed and interpreted by using a detailed and structured original template. We examined emerging trends and gaps in model applications and the readiness to integrate them into the NCA and SEEA-EA frameworks. We propose a classification scheme which organizes the 92 different models and modeling approaches identified in the review process into eight model categories so that this scheme can be efficiently used in the water ES assessment of and for further integration into the accounting framework. Among the models, the hydrologic model SWAT and the modeling tool InVEST are by far the most popular. The results of the review revealed differences between the general ES literature and the accounting-related papers. Moreover, our analysis sets the basis for useful recommendations of which model categories are the most appropriate for the water regulation ES, included in the SEEA-EA reference list. Based on the number of relevant papers, the reliability and the confidence level of the recommendations for the use of models have been incorporated in our analysis. We highlight as model category with the highest confidence the ones relative to quantification water flow and flood control service aiming at ES accounting. Models for erosion control ES can only be recommended with a lower confidence, while for water purification the results lack clear evidence for using a particular group of models. Based on the research findings we identified the main research priorities on model integration in the accounting of water regulation ES: 1) further development of guidelines for the use of models in ecosystem accounting; 2) analyses of the spatial aspects of the model towards a clear distinction between ecosystem service supply and use; and 3) development of integrated modeling approaches for water regulation ES accounting.

ASJC Scopus Sachgebiete

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Modeling water regulation ecosystem services: A review in the context of ecosystem accounting. / Nedkov, Stoyan; Campagne, Sylvie; Borisova, Bilyana et al.
in: Ecosystem Services, Jahrgang 56, 101458, 08.2022.

Publikation: Beitrag in FachzeitschriftÜbersichtsarbeitForschungPeer-Review

Nedkov, S, Campagne, S, Borisova, B, Krpec, P, Prodanova, H, Kokkoris, IP, Hristova, D, Le Clec'h, S, Santos-Martin, F, Burkhard, B, Bekri, ES, Stoycheva, V, Bruzón, AG & Dimopoulos, P 2022, 'Modeling water regulation ecosystem services: A review in the context of ecosystem accounting', Ecosystem Services, Jg. 56, 101458. https://doi.org/10.1016/j.ecoser.2022.101458
Nedkov, S., Campagne, S., Borisova, B., Krpec, P., Prodanova, H., Kokkoris, I. P., Hristova, D., Le Clec'h, S., Santos-Martin, F., Burkhard, B., Bekri, E. S., Stoycheva, V., Bruzón, A. G., & Dimopoulos, P. (2022). Modeling water regulation ecosystem services: A review in the context of ecosystem accounting. Ecosystem Services, 56, Artikel 101458. https://doi.org/10.1016/j.ecoser.2022.101458
Nedkov S, Campagne S, Borisova B, Krpec P, Prodanova H, Kokkoris IP et al. Modeling water regulation ecosystem services: A review in the context of ecosystem accounting. Ecosystem Services. 2022 Aug;56:101458. Epub 2022 Jun 28. doi: 10.1016/j.ecoser.2022.101458
Nedkov, Stoyan ; Campagne, Sylvie ; Borisova, Bilyana et al. / Modeling water regulation ecosystem services : A review in the context of ecosystem accounting. in: Ecosystem Services. 2022 ; Jahrgang 56.
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title = "Modeling water regulation ecosystem services: A review in the context of ecosystem accounting",
abstract = "Natural Capital Accounting (NCA) has evolved rapidly in recent years through substantial efforts of both international organizations and the scientific community. Water regulation ecosystem services (ES) are key elements of regulating services in ecosystem accounting, with most relevant studies strongly relying on models for ES quantification up to now. In this paper, we provide a review of modeling efforts for water regulation ES based on 148 scientific papers, properly systematized, analyzed and interpreted by using a detailed and structured original template. We examined emerging trends and gaps in model applications and the readiness to integrate them into the NCA and SEEA-EA frameworks. We propose a classification scheme which organizes the 92 different models and modeling approaches identified in the review process into eight model categories so that this scheme can be efficiently used in the water ES assessment of and for further integration into the accounting framework. Among the models, the hydrologic model SWAT and the modeling tool InVEST are by far the most popular. The results of the review revealed differences between the general ES literature and the accounting-related papers. Moreover, our analysis sets the basis for useful recommendations of which model categories are the most appropriate for the water regulation ES, included in the SEEA-EA reference list. Based on the number of relevant papers, the reliability and the confidence level of the recommendations for the use of models have been incorporated in our analysis. We highlight as model category with the highest confidence the ones relative to quantification water flow and flood control service aiming at ES accounting. Models for erosion control ES can only be recommended with a lower confidence, while for water purification the results lack clear evidence for using a particular group of models. Based on the research findings we identified the main research priorities on model integration in the accounting of water regulation ES: 1) further development of guidelines for the use of models in ecosystem accounting; 2) analyses of the spatial aspects of the model towards a clear distinction between ecosystem service supply and use; and 3) development of integrated modeling approaches for water regulation ES accounting.",
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author = "Stoyan Nedkov and Sylvie Campagne and Bilyana Borisova and Petr Krpec and Hristina Prodanova and Kokkoris, {Ioannis P.} and Desislava Hristova and {Le Clec'h}, Solen and Fernando Santos-Martin and Benjamin Burkhard and Bekri, {Eleni S.} and Vanya Stoycheva and Bruz{\'o}n, {Adri{\'a}n G.} and Panayotis Dimopoulos",
note = "Funding Information: This study was funded by the MAIA (Mapping and Assessment for Integrated ecosystem Accounting) project, that receives funding from the European Union{\textquoteright}s Horizon 2020 research and innovation programme under grant agreement No 817527. We furthermore thank Ms. Angie Faust for a language check of the manuscript before submission. ",
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Download

TY - JOUR

T1 - Modeling water regulation ecosystem services

T2 - A review in the context of ecosystem accounting

AU - Nedkov, Stoyan

AU - Campagne, Sylvie

AU - Borisova, Bilyana

AU - Krpec, Petr

AU - Prodanova, Hristina

AU - Kokkoris, Ioannis P.

AU - Hristova, Desislava

AU - Le Clec'h, Solen

AU - Santos-Martin, Fernando

AU - Burkhard, Benjamin

AU - Bekri, Eleni S.

AU - Stoycheva, Vanya

AU - Bruzón, Adrián G.

AU - Dimopoulos, Panayotis

N1 - Funding Information: This study was funded by the MAIA (Mapping and Assessment for Integrated ecosystem Accounting) project, that receives funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 817527. We furthermore thank Ms. Angie Faust for a language check of the manuscript before submission.

PY - 2022/8

Y1 - 2022/8

N2 - Natural Capital Accounting (NCA) has evolved rapidly in recent years through substantial efforts of both international organizations and the scientific community. Water regulation ecosystem services (ES) are key elements of regulating services in ecosystem accounting, with most relevant studies strongly relying on models for ES quantification up to now. In this paper, we provide a review of modeling efforts for water regulation ES based on 148 scientific papers, properly systematized, analyzed and interpreted by using a detailed and structured original template. We examined emerging trends and gaps in model applications and the readiness to integrate them into the NCA and SEEA-EA frameworks. We propose a classification scheme which organizes the 92 different models and modeling approaches identified in the review process into eight model categories so that this scheme can be efficiently used in the water ES assessment of and for further integration into the accounting framework. Among the models, the hydrologic model SWAT and the modeling tool InVEST are by far the most popular. The results of the review revealed differences between the general ES literature and the accounting-related papers. Moreover, our analysis sets the basis for useful recommendations of which model categories are the most appropriate for the water regulation ES, included in the SEEA-EA reference list. Based on the number of relevant papers, the reliability and the confidence level of the recommendations for the use of models have been incorporated in our analysis. We highlight as model category with the highest confidence the ones relative to quantification water flow and flood control service aiming at ES accounting. Models for erosion control ES can only be recommended with a lower confidence, while for water purification the results lack clear evidence for using a particular group of models. Based on the research findings we identified the main research priorities on model integration in the accounting of water regulation ES: 1) further development of guidelines for the use of models in ecosystem accounting; 2) analyses of the spatial aspects of the model towards a clear distinction between ecosystem service supply and use; and 3) development of integrated modeling approaches for water regulation ES accounting.

AB - Natural Capital Accounting (NCA) has evolved rapidly in recent years through substantial efforts of both international organizations and the scientific community. Water regulation ecosystem services (ES) are key elements of regulating services in ecosystem accounting, with most relevant studies strongly relying on models for ES quantification up to now. In this paper, we provide a review of modeling efforts for water regulation ES based on 148 scientific papers, properly systematized, analyzed and interpreted by using a detailed and structured original template. We examined emerging trends and gaps in model applications and the readiness to integrate them into the NCA and SEEA-EA frameworks. We propose a classification scheme which organizes the 92 different models and modeling approaches identified in the review process into eight model categories so that this scheme can be efficiently used in the water ES assessment of and for further integration into the accounting framework. Among the models, the hydrologic model SWAT and the modeling tool InVEST are by far the most popular. The results of the review revealed differences between the general ES literature and the accounting-related papers. Moreover, our analysis sets the basis for useful recommendations of which model categories are the most appropriate for the water regulation ES, included in the SEEA-EA reference list. Based on the number of relevant papers, the reliability and the confidence level of the recommendations for the use of models have been incorporated in our analysis. We highlight as model category with the highest confidence the ones relative to quantification water flow and flood control service aiming at ES accounting. Models for erosion control ES can only be recommended with a lower confidence, while for water purification the results lack clear evidence for using a particular group of models. Based on the research findings we identified the main research priorities on model integration in the accounting of water regulation ES: 1) further development of guidelines for the use of models in ecosystem accounting; 2) analyses of the spatial aspects of the model towards a clear distinction between ecosystem service supply and use; and 3) development of integrated modeling approaches for water regulation ES accounting.

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