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

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.

Ocena wpływu krajobrazów wiejskich na konkurencyjność regionów metodą Bayesian Belief Network – przypadek Wielkopolski w Polsce

“…Therefore, for determining the influence of landscape elements on regional competitiveness we decided to apply the Bayesian Belief Network (BBN), which is a directed acyclic graph (DAG) with a set of conditional probabilities (Korb, Nicholson 2004). The BBN was used in measuring of ecosystem services provision before (some examples are: Marcot et al 2001, Haines-Young 2011, McCloskey et al 2011, Landuyt et al 2013, Burkhard, Maes 2017, Forio et al 2018, Feurer et al 2021, but not as a tool for economic valorization of landscapes and its impact on regional competitiveness. In our analysis we attempted to test the possibility of taking the BBN approach to measuring the importance of different elements of the landscape structure and their contribution to regional competitiveness.…”

The (In)Ability of a Multi-Stakeholder Platform to Address Land Conflicts—Lessons Learnt from an Oil Palm Landscape in Myanmar

“…Furthermore, local organisations and researchers have identified the oil palm sector as a leading cause of deforestation, especially in the southern Tanintharyi Region [34,44,[46][47][48]. Moreover, the expansion of oil palm has also reduced the local population's access to natural resources, which are of high importance for their livelihoods, such as for agriculture or for collecting non-timber forest products [30,49]. The local population also did not experience any economic benefits, as the companies offered very low salaries only and, as a consequence, poor migrant workers from central Myanmar settled in to work on the plantations [12].…”

Interactions of socioecological factors on the supply-demand balance of ecosystem services in the Yangtze River Economic Belt, China

“…Ecosystems can contribute a variety of goods and services, which can directly and indirectly support and benefit human survival and development (Costanza et al 1997;Shi et al 2020;Feurer et al 2021;Yuan et al 2023). Multiple ecosystem services (ESs) obtained from ecosystems not only provide food, freshwater, wood, oxygen, and leisure and entertainment to meet humans' daily needs but also help reach sustainable development of the ecosystems for the future of human society (Wu et al 2019, Lin et al 2022).…”