Dataset Information

Spatial dataset on future forest cover changes in Southeast Asia projected under the shared socioeconomic pathways.

ABSTRACT: The five shared socioeconomic pathways (SSPs) provide future projections for various social-ecological variables, including forest cover. However, these projections are limited to quantities and lack a spatial dimension. This dataset is the result of an effort to spatialize the projected forest cover changes (losses and gains) (2015-2050) in Southeast Asia under the five baseline SSPs. The dataset is available in GIS raster format (.tif) at a spatial resolution of 300 m. A wide range of users can benefit from this dataset, as it can be used independently or in conjunction with other datasets. Specifically, it can be employed to assess potential future social-ecological impacts, both positive and negative, in Southeast Asia resulting from changes in forest cover. The dataset supports analysis at the national, sub-national, or landscape levels.

SUBMITTER: Estoque RC

PROVIDER: S-EPMC10641122 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Spatial dataset on future forest cover changes in Southeast Asia projected under the shared socioeconomic pathways.

Estoque Ronald C RC

Data in brief 20231020

The five shared socioeconomic pathways (SSPs) provide future projections for various social-ecological variables, including forest cover. However, these projections are limited to quantities and lack a spatial dimension. This dataset is the result of an effort to spatialize the projected forest cover changes (losses and gains) (2015-2050) in Southeast Asia under the five baseline SSPs. The dataset is available in GIS raster format (.tif) at a spatial resolution of 300 m. A wide range of users ca ...[more]

PMID: 37965620

Similar Datasets

Project description:While many tropical countries are experiencing rapid deforestation, some have experienced forest transition (FT) from net deforestation to net reforestation. Numerous studies have identified causative factors of FT, among which forest scarcity has been considered as a prerequisite for FT. In fact, in SE Asia, the Philippines, Thailand and Viet Nam, which experienced FT since 1990, exhibited a lower remaining forest area (30±8%) than the other five countries (68±6%, Cambodia, Indonesia, Laos, Malaysia, and Myanmar) where forest loss continues. In this study, we examined 1) the factors associated with forest scarcity, 2) the proximate and/or underlying factors that have driven forest area change, and 3) whether causative factors changed across FT phases (from deforestation to net forest gain) during 1980-2010 in the eight SE Asian countries. We used production of wood, food, and export-oriented food commodities as proximate causes and demographic, social, economic and environmental factors, as well as land-use efficiency, and wood and food trade as underlying causes that affect forest area change. Remaining forest area in 1990 was negatively correlated with population density and potential land area of lowland forests, while positively correlated with per capita wood production. This implies that countries rich in accessible and productive forests, and higher population pressures are the ones that have experienced forest scarcity, and eventually FT. Food production and agricultural input were negatively and positively correlated, respectively, with forest area change during 1980-2009. This indicates that more food production drives deforestation, but higher efficiency of agriculture is correlated with forest gain. We also found a U-shaped response of forest area change to social openness, suggesting that forest gain can be achieved in both open and closed countries, but deforestation might be accelerated in countries undergoing societal transition. These results indicate the importance of environmental, agricultural and social variables on forest area dynamics, and have important implications for predicting future tropical forest change.

Dataset Information

Spatial dataset on future forest cover changes in Southeast Asia projected under the shared socioeconomic pathways.

Publications

Spatial dataset on future forest cover changes in Southeast Asia projected under the shared socioeconomic pathways.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets