Mapping the economic value of landslide regulation by forests

L. M. Brander; S. Tankha; C. Sovann; G. Sanadiradze; N. Zazanashvili; D. Kharazishvili; N. Memiadze; I. Osepashvili; G. Beruchashvili; N. Arobelidze

doi:10.1016/j.ecoser.2018.06.003

Mapping the economic value of landslide regulation by forests

L. M. Brander^*, S. Tankha, C. Sovann, G. Sanadiradze, N. Zazanashvili, D. Kharazishvili, N. Memiadze, I. Osepashvili, G. Beruchashvili, N. Arobelidze

^*Corresponding author for this work

Environmental Economics

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Abstract

The role of forests in regulating landslide risks is well established but estimates of the economic value of this ecosystem service are limited. In order to incorporate the role of forests for landslide risk mitigation in spatial planning and other decision-making contexts, there is a need for spatially explicit information regarding the value of this service. We develop a methodological framework to combine bio-physical modelling of natural hazard risk and socio-economic exposure in a predictive model to estimate and map of the economic value of forest regulation of landslides. This method is applied in a case study of Adjara Autonomous Republic of Georgia to examine alternative scenarios for forest management and associated land cover change. The approach produces credible spatially explicit results to inform policy decisions regarding investment in forest management; and has the potential for replication in other data scarce regions.

Original language	English
Pages (from-to)	101-109
Number of pages	9
Journal	Ecosystem Services
Volume	32
Issue number	Part A
Early online date	26 Jun 2018
DOIs	https://doi.org/10.1016/j.ecoser.2018.06.003
Publication status	Published - Aug 2018

Funding

This research was conducted as part of The Economics of Ecosystems and Biodiversity (TEEB) study on the forestry sector of Adjara Autonomous Republic Georgia for the WWF-Caucasus Programme Office (WWF-CauPO). The study was implemented within the framework of “ European Neighbourhood and Partnership Instrument East Countries Forest Law Enforcement and Governance II Program” (FLEG II Program, 2013-2017). The Program has been financially supported by the European Commission and Austrian Development Agency . The development and implementation of this study has benefited from indispensable inputs from numerous sources. The authors are particularly grateful to Dr. Giorgi Sanadiradze, Dr. Nugzar Zazanashvili, Mr. Vakhtang Tsuladze, Mr. Tariel Tuskia, Mr. Ramaz Jincharadze, Mr. Zurab Manvelidze, and all participants of the stakeholder workshops held in Batumi, Adjara on 26–27 November 2015 and 7 December 2016; and in Tbilisi on 30 November 2016. Appendix A

Funders	Funder number
Austrian Development Agency
European Commission

Keywords

Economic valuation
Forests
Landslide regulation
Scenario mapping

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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title = "Mapping the economic value of landslide regulation by forests",

abstract = "The role of forests in regulating landslide risks is well established but estimates of the economic value of this ecosystem service are limited. In order to incorporate the role of forests for landslide risk mitigation in spatial planning and other decision-making contexts, there is a need for spatially explicit information regarding the value of this service. We develop a methodological framework to combine bio-physical modelling of natural hazard risk and socio-economic exposure in a predictive model to estimate and map of the economic value of forest regulation of landslides. This method is applied in a case study of Adjara Autonomous Republic of Georgia to examine alternative scenarios for forest management and associated land cover change. The approach produces credible spatially explicit results to inform policy decisions regarding investment in forest management; and has the potential for replication in other data scarce regions.",

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AU - Brander, L. M.

AU - Tankha, S.

AU - Sovann, C.

AU - Sanadiradze, G.

AU - Zazanashvili, N.

AU - Kharazishvili, D.

AU - Memiadze, N.

AU - Osepashvili, I.

AU - Beruchashvili, G.

AU - Arobelidze, N.

PY - 2018/8

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N2 - The role of forests in regulating landslide risks is well established but estimates of the economic value of this ecosystem service are limited. In order to incorporate the role of forests for landslide risk mitigation in spatial planning and other decision-making contexts, there is a need for spatially explicit information regarding the value of this service. We develop a methodological framework to combine bio-physical modelling of natural hazard risk and socio-economic exposure in a predictive model to estimate and map of the economic value of forest regulation of landslides. This method is applied in a case study of Adjara Autonomous Republic of Georgia to examine alternative scenarios for forest management and associated land cover change. The approach produces credible spatially explicit results to inform policy decisions regarding investment in forest management; and has the potential for replication in other data scarce regions.

AB - The role of forests in regulating landslide risks is well established but estimates of the economic value of this ecosystem service are limited. In order to incorporate the role of forests for landslide risk mitigation in spatial planning and other decision-making contexts, there is a need for spatially explicit information regarding the value of this service. We develop a methodological framework to combine bio-physical modelling of natural hazard risk and socio-economic exposure in a predictive model to estimate and map of the economic value of forest regulation of landslides. This method is applied in a case study of Adjara Autonomous Republic of Georgia to examine alternative scenarios for forest management and associated land cover change. The approach produces credible spatially explicit results to inform policy decisions regarding investment in forest management; and has the potential for replication in other data scarce regions.

KW - Economic valuation

KW - Forests

KW - Landslide regulation

KW - Scenario mapping

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Mapping the economic value of landslide regulation by forests

Abstract

Funding

Keywords

UN SDGs

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