Quantifying local ecosystem service outcomes by modelling their supply, demand and flow in Myanmar’s forest frontier landscape

Feurer, Mélanie; Zaehringer, Julie Gwendolin; Heinimann, Andreas; Naing, Su Myat; Blaser, Jürgen; Celio, Enrico (2021). Quantifying local ecosystem service outcomes by modelling their supply, demand and flow in Myanmar’s forest frontier landscape Journal of Land Use Science, 16(1), pp. 55-93. Taylor & Francis 10.1080/1747423X.2020.1841844

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In complex tropical forest frontier landscapes, ecosystem service (ES) models are essential tools to test impacts of different land schemes on people. Considering several factors of supply, demand and flow and focusing on local stakeholders, we developed nine ES models using Bayesian networks and applied them in different land scenarios in Myanmar’s Tanintharyi Region. We found land use and tenure as well as demand for specific products to be the key factors determining final ES outcomes. While forested lands have high regulating and overall balanced ES bundles, mixed agricultural lands provide subsistence and commercial products as well as better environmental education opportunities. By contrast, commercial agricultural concessions strongly limit ES outcomes for local communities. As our models reveal more distinct impacts of land policy scenarios in a homogeneous setting, where demand is better accounted for, we recommend their use for spatially explicit analyses of forest frontier landscapes.

Item Type:	Journal Article (Original Article)
Division/Institute:	School of Agricultural, Forest and Food Sciences HAFL School of Agricultural, Forest and Food Sciences HAFL > Multifunctional Forest Management School of Agricultural, Forest and Food Sciences HAFL > HAFL Hugo P. Cecchini Institute School of Agricultural, Forest and Food Sciences HAFL > Multifunctional Forest Management > Forest Policy and International Forest Management
Name:	Feurer, Mélanie0000-0002-7955-684X; Zaehringer, Julie Gwendolin; Heinimann, Andreas; Naing, Su Myat; Blaser, Jürgen and Celio, Enrico
Subjects:	G Geography. Anthropology. Recreation > G Geography (General) G Geography. Anthropology. Recreation > GE Environmental Sciences S Agriculture > SD Forestry
ISSN:	1747-423X
Publisher:	Taylor & Francis
Language:	English
Submitter:	Simon Lutz
Date Deposited:	26 Apr 2021 15:39
Last Modified:	19 Nov 2021 02:18
Publisher DOI:	10.1080/1747423X.2020.1841844
Uncontrolled Keywords:	Ecosystem services; Bayesian network; scenarios; land policy; frontier landscape; Taninthary
ARBOR DOI:	10.24451/arbor.14712
URI:	https://arbor.bfh.ch/id/eprint/14712