scholarly journals Protocols for the measurement, monitoring, and reporting of structure, biomass, carbon stocks and greenhouse gas emissions in tropical peat swamp forests

2016 ◽  
Author(s):  
Kauffman J.B. ◽  
Arifanti V.B. ◽  
Basuki I. ◽  
Kurnianto S. ◽  
Novita N. ◽  
...  
2017 ◽  
Vol 24 (4) ◽  
pp. 507-520 ◽  
Author(s):  
Daniel Murdiyarso ◽  
Meli Fitriani Saragi-Sasmito ◽  
Anggi Rustini

2020 ◽  
Vol 13 (4) ◽  
pp. 47
Author(s):  
Safril Kasim ◽  
Aminuddin Mane Kandari ◽  
Asramid Yasin ◽  
La Ode Agus Salim Mando

Climate change coupled with deforestation has brought about an increase in greenhouse gas emissions in the atmosphere. One way to control climate change is to reduce greenhouse gas emissions by maintaining the integrity of natural forests and increasing the density of tree populations. This research aimed to (a) identifies the density of stand trees in the upland forests of the Wanggu Watershed; (b) analyze the potential carbon stocks contained in the upstream forests of the Wanggu Watershed; (c) develop a model to estimate potential carbon stocks in the upland forests of the Wanggu Watershed. The land cover classification in this study used the guided classification with the Object-Based Image algorithm. Normalized Difference Vegetation Index (NDVI) was employed as an indicator of vegetation cover density. Field measurements were carried out by calculating the diameter of the stand trees in 30 observation plots. Field biomass values were obtained through allometric equations. Regression analysis was conducted to determine the correlation between NDVI densities and field biomass. The results showed that the best equation for estimating potential carbon stocks in the Wanggu Watershed forest area was y = 3.48 (Exp. 7,435x), with an R2 of 50.2%. Potential above ground biomass carbon in the Wanggu Watershed based on NDVI values was 414,043.26 tons in 2019, consist of protected forest areas of 279,070.15 tons and production forests of 134,973.11 tons. While total above biomass carbon based on field measurement reached 529,541.01 tons, consist of protected forests of 419,197.82 tons and production forests of 110,343.20 tons.


2016 ◽  
Vol 221 ◽  
pp. 270-275 ◽  
Author(s):  
Carlos Quiroz Arita ◽  
Özge Yilmaz ◽  
Semin Barlak ◽  
Kimberly B. Catton ◽  
Jason C. Quinn ◽  
...  

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Hannah V. Cooper ◽  
Stephanie Evers ◽  
Paul Aplin ◽  
Neil Crout ◽  
Mohd Puat Bin Dahalan ◽  
...  

2019 ◽  
Vol 15 (3) ◽  
pp. 20180781 ◽  
Author(s):  
Catherine E. Lovelock ◽  
Carlos M. Duarte

Blue Carbon is a term coined in 2009 to draw attention to the degradation of marine and coastal ecosystems and the need to conserve and restore them to mitigate climate change and for the other ecosystem services they provide. Blue Carbon has multiple meanings, which we aim to clarify here, which reflect the original descriptions of the concept including (1) all organic matter captured by marine organisms, and (2) how marine ecosystems could be managed to reduce greenhouse gas emissions and thereby contribute to climate change mitigation and conservation. The multifaceted nature of the Blue Carbon concept has led to unprecedented collaboration across disciplines, where scientists, conservationists and policy makers have interacted intensely to advance shared goals. Some coastal ecosystems (mangroves, tidal marshes and seagrass) are established Blue Carbon ecosystems as they often have high carbon stocks, support long-term carbon storage, offer the potential to manage greenhouse gas emissions and support other adaptation policies. Some marine ecosystems do not meet key criteria for inclusion within the Blue Carbon framework (e.g. fish, bivalves and coral reefs). Others have gaps in scientific understanding of carbon stocks or greenhouse gas fluxes, or currently there is limited potential for management or accounting for carbon sequestration (macroalgae and phytoplankton), but may be considered Blue Carbon ecosystems in the future, once these gaps are addressed.


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