The Air Telang Protected Forest (ATPF) is one of the most dynamic and essential coastal forest landscapes in South Sumatra, Indonesia, because of its location between multiple river outlets, including the Musi catchment—Sumatra’s largest and most dense lowland catchment area. While most ATPF areas are covered by mangroves, these areas have been experiencing severe anthropogenic-driven degradation and conversion. This study aims to evaluate land cover changes and associated carbon emissions in the ATPF over a 35-year period (1985–2020) by utilizing the available Landsat and Sentinel imagery from 1985, 2000, and 2020. Throughout the analysis period, we observed 63% (from 10,886 to 4059 ha) primary and secondary forest loss due to land use change. We identified three primary anthropogenic activities driving these losses, namely, land clearing for plantations and agriculture (3693 ha), coconut plantations (3315 ha), aquaculture (245 ha). We estimated that the largest carbon emissions were caused by coconut plantation conversion, with total carbon emissions of approximately 14.14 Mt CO2-eq. These amounts were almost 4 and 21 times higher than emissions from land clearing and aquaculture, respectively, as substantial soil carbon loss occurs once mangroves get transformed into coconut plantations. While coconut plantation expansion on mangroves could generate significant carbon stock losses and cleared forests become the primary candidate for restoration, our dataset could be useful for future land-based emission reduction policy intervention at a subnational level. Ultimately, our findings have direct implications for current national climate policies, through low carbon development strategies and emission reductions from the land use sector for 2030, as outlined in the Nationally Determined Contributions (NDCs).
Abstract. Eddy S, Milantara N, Basyuni M. 2021. Carbon emissions as impact of mangrove degradation: A case study on the Air Telang Protected Forest, South Sumatra, Indonesia (2000-2020). Biodiversitas 22: 2142-2149. Massive degradation in ATPF occurs due to anthropogenic activities that have converted this area into a coconut plantation, fishpond, settlement, and agriculture. The purpose of this study was to describe changes in land cover and the amount of CO2 emission in ATPF and its causes during the 2000-2020 period using remote sensing data. Data from remote sensing were used to obtain area, classification and land cover change in each period; meanwhile, carbon stock, emissions, and CO2 sequestration were obtained from the analysis using LUMENS software. The results showed that the emissions resulting from land conversion in ATPF during the 2000-2020 period were much greater than sequestration. Net emissions of 1,928,076.56 tons of CO2-eq with an annual emission rate of 96,403.83 tons of CO2-eq/year. The largest source of emissions came from the conversion of primary forest, coconut plantation and secondary forest to open areas; while the source of sequestration comes from the formation of primary and secondary forests. There need to be restoration and conservation efforts in this area by the government and the community to restore the function of ATPF as a coastal protection forest. This research is the first study to examine land cover changes in mangrove forests using data analysis methods with LUMENS.
Human activities that alter land cover have destroyed natural ecosystems and caused conflict. In Indonesia, community-based forest management (CBFM) policies implemented by the government seek to empower communities, ameliorate forest conversion, and reduce environmental conflict. This article critically assesses contemporary CBFM policy in Indonesia by analyzing its history and outcomes through policy analysis. To systematically review previous literature on CBFM, this research uses the PRISMA method. It finds that communities are often able to manage forest areas sustainably through sociocultural systems that combine management customs and culture. Empowerment through CBFM policy therefore promises to promote community subsistence, equity, and security regarding forest management. However, granting total resource rights to communities can result in land conversion unless managerial safeguards are in place. Many studies find that the clarity of land boundaries, the consistency of regulation, and the partiality of land governance drive CBFM program success. To facilitate land governance for the successful implementation of Indonesian social forestry, communities need access rights, authority to manage forests, and sufficient knowledge transfer to participate in formal forest management. In contrast to previous iterations of CBFM in Indonesia, current social forestry policy acknowledges these governance needs and seeks to implement them.
One of the concrete efforts made by the Indonesian government is through social forestry policy as a trigger for land conflicts. One area that has implemented a pattern of social forestry is a forest area located in the management area of KPH Region I Meranti,Musi Banyuasin Regency. The aims of this study was to find out and analyze the process of implementing social forestry policy and analyze the factors that influence. The study was conducted in Pangkalan Bulian and Lubuk Bintialo Villages, Batang Hari Leko District, Musi Banyuasin Regency, South Sumatra Province. This Research used quantitative and qualitative research approach. Funding and staff resources (human resources) are still lacking. The process of collective action between actors is running well. Technical rules are clear with the existence of SOPs that are derived from the rules of government and local government. Communication goes well between communities (Forest farmer groups and cooperative members)-local government and facilitators, but not so well between government structures (village heads and apparatus and local government). Generally, the social forestry policy in this area has been effectively implemented from the perspective of policy accuracy in resolving forestry problems and environmental accuracy in accepting policies.
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