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Above Ground Carbon Stock across Different Land Use Types in Central Kalimantan Indonesia – First Step Toward Redd Implementation
 
Więcej
Ukryj
1
Department of Forestry, Faculty of Agriculture, University of Palangka Raya, Jl. Yos Sudarso Kampus Tunjung Nyaho, Palangka Raya 73111A, Indonesia
 
2
Center For The Study of Climate Change and Low-Carbon Development, LPPM University of Palangka Raya. Jalan H. Timang Kampus UPR Tunjung Nyaho Palangka Raya 73112, Indonesia
 
3
WWF Indonesia, Central Kalimantan Jl. G.Obos XIV No. 19B, Palangka Raya 73111, Indonesia
 
 
Autor do korespondencji
Afentina Afentina   

Department of Forestry, Faculty of Agriculture, University of Palangka Raya, Jl. Yos Sudarso Kampus Tunjung Nyaho, Palangka Raya 73111A, Indonesia
 
 
J. Ecol. Eng. 2022; 23(8):170-180
 
SŁOWA KLUCZOWE
DZIEDZINY
 
STRESZCZENIE
Climate change is one of the most critical threats to the human population and other living organisms on earth. REDD+ is developed as a mechanism to acquire a global fund for addressing climate change, deforestation, and protecting the forest ecosystem while maintaining the livelihood of local communities. As a response to the need for carbon stock measurement at the specific forest and land-use types, this research aimed to estimate above-ground carbon stock (AGC) at seven land-use types in KPHP (Forest management unit) Katingan Hulu Central Kalimantan Indonesia. This research was conducted from May to September 2019. Data collected in 91 observation plots included diameter at breast height, total height, and fresh weight of understory vegetation and litter. Using an allometric equation this research estimated above-ground carbon stock in the tree, understory vegetation, and litter. This research found that AGC varied across different land-use types: secondary peat forest 135.30 Mg C/Ha, secondary forest 212.19 Mg C/Ha, shrub 47.41 Mg C/Ha, oil palm plantation 73.76 Mg C/Ha, rubber plantation 65.56 Mg C/Ha, and forest with rattan 75.98 Mg C/Ha. We concluded that AGC in KPHP Katingan Hulu varied according to the type of land use system. Less human intervention forests such as secondary forests had higher AGC compared with highly disturbance forests such as shrubs. Finding from this research could help decision-makers to develop REDD programs to rehabilitate forests and contribute to community development.
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