TY - JOUR

T1 - Land cover-based ecosystem service assessment of irrigated rice cropping systems in southeast Asia-An explorative study

AU - Burkhard, Benjamin

AU - Müller, Anja

AU - Müller, Felix

AU - Grescho, Volker

AU - Anh, Quynh

AU - Arida, Gertrudo

AU - Bustamante, Jesus Victor Jappan

AU - Van Chien, Ho

AU - Heong, K. L.

AU - Escalada, Monina

AU - Marquez, Leonardo

AU - Thanh Truong, Dao

AU - Villareal, Sylvia Bong

AU - Settele, Josef

N1 - Funding Information: The LEGATO project is funded by the German Ministry of Research and Education ( BMBF ) within their funding measure Sustainable Land Management 7 7 ; Funding nos. 01LL0917 . A until 01LL0917O. This study was co-financed by the German Academic Exchange Service (DAAD) . Furthermore we would like to thank all our colleagues, especially Beatriz Rodriguez-Labajos and Vera Tekken, in the LEGATO project. Publisher Copyright: © 2015 Elsevier B.V. Copyright: Copyright 2015 Elsevier B.V., All rights reserved.

PY - 2015/8/1

Y1 - 2015/8/1

N2 - Continuing global population growth requires an increase in food production, but also new strategies to reduce negative effects of intensive land use on the environment. Rice as key staple food for a majority of the human population is of crucial importance for global and particularly Southeast Asian food supply. As food provision is one key ecosystem service (ES), it is important to know which ESs are provided at which places. Therefore, an ES scoring exercise harnessing local experts' knowledge in a 'rapid assessment' was conducted in seven rice cropping regions in Vietnam and the Philippines. The expert-based scoring values were linked in an 'ES-matrix' to the different land use/land cover (LULC) classes abundant in the study areas. The LULC classifications were based on SPOT satellite image interpretation. The matrices were used to compile ES supply maps that give first indications about ES in regions with different intensive agriculture. The outcomes provide a first 'screening' of ES supply related to different LULC types in rice-dominated regions enabling the communication of the relevance of specific ecosystems for local communities and decision makers. Uncertainties inherent in expert- and land cover-based ES assessments are discussed and recommendations for improvements of future studies are given.

AB - Continuing global population growth requires an increase in food production, but also new strategies to reduce negative effects of intensive land use on the environment. Rice as key staple food for a majority of the human population is of crucial importance for global and particularly Southeast Asian food supply. As food provision is one key ecosystem service (ES), it is important to know which ESs are provided at which places. Therefore, an ES scoring exercise harnessing local experts' knowledge in a 'rapid assessment' was conducted in seven rice cropping regions in Vietnam and the Philippines. The expert-based scoring values were linked in an 'ES-matrix' to the different land use/land cover (LULC) classes abundant in the study areas. The LULC classifications were based on SPOT satellite image interpretation. The matrices were used to compile ES supply maps that give first indications about ES in regions with different intensive agriculture. The outcomes provide a first 'screening' of ES supply related to different LULC types in rice-dominated regions enabling the communication of the relevance of specific ecosystems for local communities and decision makers. Uncertainties inherent in expert- and land cover-based ES assessments are discussed and recommendations for improvements of future studies are given.

KW - Expert survey

KW - Mapping

KW - Philippines

KW - Service providing units

KW - SPOT satellite data

KW - Vietnam

UR - http://www.scopus.com/inward/record.url?scp=84937787222&partnerID=8YFLogxK

U2 - 10.1016/j.ecoser.2015.05.005

DO - 10.1016/j.ecoser.2015.05.005

M3 - Article

AN - SCOPUS:84937787222

VL - 14

SP - 76

EP - 87

JO - Ecosystem Services

JF - Ecosystem Services

SN - 2212-0416

ER -