30 research outputs found

    Benefits and costs of oil palm expansion in Central Kalimantan, Indonesia, under different policy scenarios

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    Deforestation and oil palm expansion in Central Kalimantan province are among the highest in Indonesia. This study examines the physical and monetary impacts of oil palm expansion in Central Kalimantan up to 2025 under three policy scenarios. Our modelling approach combines a spatial logistic regression model with a set of rules governing land use change as a function of the policy scenario. Our physical and monetary analyses include palm oil expansion and five other ecosystem services: timber, rattan, paddy rice, carbon sequestration, and orangutan habitat (the last service is analysed in physical units only). In monetary terms, our analysis comprises the contribution of land and ecosystems to economic production, as measured according to the valuation approach of the System of National Accounts. We focus our analysis on government-owned land which covers around 97 % of the province, where the main policy issues are. We show that, in the business-as-usual scenario, the societal costs of carbon emissions and the loss of other ecosystem services far exceed the benefits from increased oil palm production. This is, in particular, related to the conversion of peatlands. We also show that, for Central Kalimantan, the moratorium scenario, which is modelled based on the moratorium currently in place in Indonesia, generates important economic benefits compared to the business-as-usual scenario. In the moratorium scenario, however, there is still conversion of forest to plantation and associated loss of ecosystem services. We developed an alternative, sustainable production scenario based on an ecosystem services approach and show that this policy scenario leads to higher net social benefits including some more space for oil palm expansion.</p

    Estimation of Minimum Viable Population of Long-tailed Macaques (Macaca fascicularis Raffles 1821) in Support of Wildlife Management in Ir. H. Djuanda Grand Forest Park

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    Most long-tailed macaques (LTMs) in Southeast Asia are commensal animals, which means they can coexist and benefit from humans. This interaction potentially triggers disturbance and disease transmission caused by LTMs, for instance, in Ir. Djuanda Grand Forest Park (GFP). A previous study indicates an overpopulation of LTMs in this area. The need for population control of this macaque requires appropriate ecological considerations, including determining the minimum viable population (MVP). This study aims to estimate the MVP of LTMs in Ir. Djuanda GFP area is the key input for its population control scheme. The MVP is determined based on population growth simulation using the Lefkovitch matrix. In combination with the estimate of population growth, the MVP was used to formulate the population control scheme of LTMs, by considering the current wildlife management regulations and the perception of Ir. Djuanda GFP area manager obtained through interviews. This study found six groups of LTMs in Ir. Djuanda GFP with a total population of 229 individuals, a sex ratio of 1:1.05, an age class ratio of infants, juveniles, sub-adults, and adults of 16.6%:25.7%:32,3%:25.3%, and a population growth rate of 19.7%/year. The estimate of MVP of this primate is 230 individuals, with an average group size of 38 individuals and an age class ratio of infants, juveniles, sub-adults, and adults 30%:9.1%:27.4%:23.5%. Based on wildlife management regulations and area manager perceptions, population control schemes can be implemented for relocation and captive purposes. The population control scheme consists of an age-class control scheme and a group control scheme. The age-class control scheme controls the population by 334 individuals, while the colony control scheme controls 406 individuals

    Hydrological and economic effects of oil palm cultivation in Indonesian peatlands

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    Oil palm has increasingly been established on peatlands throughout Indonesia. One of the concerns is that the drainage required for cultivating oil palm in peatlands leads to soil subsidence, potentially increasing future flood risks. This study analyzes the hydrological and economic effects of oil palm production in a peat landscape in Central Kalimantan. We examine two land use scenarios, one involving conversion of the complete landscape including a large peat area to oil palm plantations, and another involving mixed land use including oil palm plantations, jelutung (jungle rubber; (Dyera spp.) plantations, and natural forest. The hydrological effect was analyzed through flood risk modeling using a high-resolution digital elevation model. For the economic analysis, we analyzed four ecosystem services: oil palm production, jelutung production, carbon sequestration, and orangutan habitat. This study shows that after 100 years, in the oil palm scenario, about 67% of peat in the study area will be subject to regular flooding. The flood-prone area will be unsuitable for oil palm and other crops requiring drained soils. The oil palm scenario is the most profitable only in the short term and when the externalities of oil palm production, i.e., the costs of CO2 emissions, are not considered. In the examined scenarios, the social costs of carbon emissions exceed the private benefits from oil palm plantations in peat. Depending upon the local hydrology, income from jelutung, which can sustainably be grown in undrained conditions and does not lead to soil subsidence, outweighs that from oil palm after several decades. These findings illustrate the trade-offs faced at present in Indonesian peatland management and point to economic advantages of an approach that involves expansion of oil palm on mineral lands while conserving natural peat forests and using degraded peat for crops that do not require drainage

    Towards sustainable management of Indonesian tropical peatlands

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    Large areas of Indonesian peatlands have been converted for agricultural and plantation forest purposes. This requires draining with associated CO2 emissions and fire risks. In order to identify alternative management regimes for peatlands, it is important to understand the sustainability of different peatland uses as well as the economic benefits peatlands supply under different land uses. This study explores the key sustainability issues in Indonesian peatlands, the ecosystem services supplied by peatlands, and potential responses to promote more sustainable peatland use. A literature review and spatial analysis were conducted. Based on predominantly government data, we estimate the amount of Indonesian peatlands that has been converted between 2000 and 2014. We quantify increases in oil palm and plantation forest crop production in this period, and we analyse key sustainability issues, i.e. peat fires and smoke-haze, soil subsidence and flood risk, CO2 emissions, loss of habitat (in protected areas), and social conflicts that influence sustainability of Indonesian peatlands management. Among others we show that CO2 emissions from peatlands in Indonesia can be estimated at between 350 and 400 million ton CO2 per year, and that encroachment of oil palm and plantation forestry (acacia, rubber) has taken place on 28% of protected areas. However, as we examine, the uncertainties involved are substantial. Based on our findings, we distil several implications for the management of the peatlands.</p

    Who Benefits from Ecosystem Services? A Case Study for Central Kalimantan, Indonesia

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    There is increasing experience with the valuation of ecosystem services. However, to date, less attention has been devoted to who is actually benefiting from ecosystem services. This nevertheless is a key issue, in particular, if ecosystem services analysis and valuation is used to support environmental management. This study assesses and analyzes how the monetary benefits of seven ecosystem services are generated in Central Kalimantan Province, Indonesia, are distributed to different types of beneficiaries. We analyze the following ecosystem services: (1) timber production; (2) rattan collection; (3) jelutong resin collection; (4) rubber production (based on permanent agroforestry systems); (5) oil palm production on three management scales (company, plasma farmer, and independent smallholder); (6) paddy production; and (7) carbon sequestration. Our study shows that the benefits generated from these services differ markedly between the stakeholders, which we grouped into private, public, and household entities. The distribution of these benefits is strongly influenced by government policies and in particular benefit sharing mechanisms. Hence, land-use change and policies influencing land-use change can be expected to have different impacts on different stakeholders. Our study also shows that the benefits generated by oil palm conversion, a main driver for land-use change in the province, are almost exclusively accrued by companies and at this point in time are shared unequally with local stakeholders.</p

    Governance, Decentralisation and Deforestation: The Case of Central Kalimantan Province, Indonesia

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    The implementation of the decentralisation policies in Indonesia, which started in 2000, has fundamentally changed the country’s forest governance framework. This study investigates how decentralisation has influenced forest governance, and links the forest governance to deforestation rates at the district level. We measure and compare the quality of forest governance in 11 districts in Central Kalimantan province in the periods 2000-2005 and 2005-2010 and relate forest governance to deforestation rate. This study shows that decentralisation has led to marked differences in forest governance between districts and that deforestation rates is strongly related to the change of forest governance. We recommend revisiting the Indonesian forest governance framework to ensure more checks and balances in decision making, better monitoring and increased transparency, with particular support for Forest Management Units as a new tool for forest management, and government support to facilitate the design and implementation of REDD+ projects

    Analisis Kesehatan Mangrove di Taman Wisata Alam Angke Kapuk, Jakarta Utara

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    Indonesia memiliki luasan ekosistem mangrove terluas di dunia. Ekosistem mangrove memiliki fungsi, peran dan manfaat penting bagi kawasan daratan dan lautan. Optimalisasi dari fungsi-fungsi ekosistem mangrove bergantung pada kondisi kesehatan mangrove. Taman Wisata Alam Angke Kapuk (TWAAK) merupakan kawasan taman wisata alam yang berfokus pada ekowisata dan konservasi ekosistem mangrove. Penelitian ini bertujuan melakukan penilaian kesehatan mangrove berdasarkan Indeks Kesehatan Mangrove/Mangrove Health Index (MHI) dan struktur tegakan mangrove dilakukan di TWAAK. Penelitian dilakukan dengan pengambilan plot secara purposive sampling yaitu penentuan plot berdasarkan kriteria tutupan kanopi rapat, sedang, dan jarang yang di analisis menggunakan Normalized Difference Vegetation Index (NDVI). Plot diambil sebanyak tiga puluh plot yang terdiri dari dua belas plot jarang, sebelas plot sedang, dan tujuh plot rapat. Nilai MHI merupakan kombinasi dari skor persentase tutupan kanopi, DBH dan jumlah pancang. Sedangkan struktur tegakan mangrove ditentukan berdasarkan parameter persentase tutupan kanopi, tinggi tegakan, DBH dan jumlah tegakan. Kesehatan mangrove di TWAAK berdasarkan MHI untuk kelas kerapatan jarang dan sedang masuk kategori sedang/moderate serta kelas kerapatan rapat masuk kategori sehat/healthy. Berdasarkan struktur tegakan, kesehatan mangrove di TWAAK untuk kelas kerapatan jarang masuk kategori sedang/cukup baik/fair serta kelas kerapatan sedang dan rapat masuk kategori baik/good.

    Land-Cover and Elevation-Based Mapping of Aboveground Carbon in a Tropical Mixed-Shrub Forest Area in West Java, Indonesia

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    Carbon sequestration and storage are among the most important ecosystem services provided by tropical forests. Improving the accuracy of the carbon mapping of tropical forests has always been a challenge, particularly in countries and regions with limited resources, with limited funding to provide high-resolution and high-quality remote sensing data. This study aimed to examine the use of land-cover and elevation-based methods of aboveground carbon mapping in a tropical forest composed of shrubs and trees. We tested a geostatistical method with an ordinary kriging interpolation using three stratification types: no stratification, stratification based on elevation, and stratification based on land-cover type, and compared it with a simple mapping technique, i.e., a lookup table based on a combination of land cover and elevation. A regression modelling with land cover and elevation as predictors was also tested in this study. The best performance was shown by geostatistical interpolation without stratification and geostatistical interpolation based on land cover, with a coefficient of variation (CV) of the root mean square error (RMSE) of 0.44, better than the performance of lookup table techniques (with a CV of the RMSE of more than 0.48). The regression modeling provided a significant model, but with a coefficient of determination (R2) of only 0.29, and a CV of the RMSE of 0.49. The use of other variables should thus be further investigated. We discuss improving aboveground carbon mapping in the study area and the implications of our results for forest management
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