Abstract
ABSTRACT 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.
Highlights
Nature, as part of both natural and anthropogenic landscapes, contributes to people’s lives in various forms
We determined that land use has the highest impact on multiple ecosystem service (ES) and suggests that further decisive factors are land tenure and demand for natural resources, in particular for local stakeholders
We found that differences in ES outcomes from changes in land use and land tenure are much more pronounced in a homogenous landscape than at regional scale in the present context of Tanintharyi Region
Summary
As part of both natural and anthropogenic landscapes, contributes to people’s lives in various forms. As valuation of and comparison between these services remain challenging, they are often neglected in policymaking (Pandeya et al, 2016) In this context, the conceptualization of ecosystem services (ES) has gained attention in research and policy (MEA, 2005). ES supply refers to the goods and services provided by a landscape, whereas ES demand refers to people’s use and perceived value thereof. Flows can be seen as the spatial movements of ecosystem-derived materials and other services from a providing to a benefiting area or actor (Schröter et al, 2018), leading to actual service production and use (Schirpke et al, 2019; Vallecillo et al, 2019; Villamagna et al, 2013). ES flows are understood as people’s access to services based on various enabling conditions including biophysical, spatial, social and political factors
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
