Citation
Abstract
Climate change is acknowledged as a global threat to the environment and human well-being. Forest ecosystems are a significant factor in this regard as they act both as a sink and a source of carbon. Forest carbon evaluation has received more attention after the Paris Agreement. Pakistan has 5.1% forest cover of its total land area, which comprises nine forest types. This study covers the studies conducted on above-ground biomass and carbon stock in various forest types of Pakistan. Most of the studies on biomass and carbon stock estimation have been conducted during 2015–2020. The non-destructive method is mostly followed for carbon stock estimation, followed by remote sensing. The destructive method is used only for developing allometric equations and biomass expansion factors. The information available on the carbon stock and biomass of Pakistan forest types is fragmented and sporadic. Coniferous forests are more important in carbon sequestration and can play a vital role in mitigating climate change. Pakistan is a signatory of the Kyoto Protocol and still lacks regional and national level studies on biomass and carbon stock, which are necessary for reporting under the Kyoto Protocol. This study will help researchers and decision-makers to develop policies regarding Reducing Emissions from Deforestation and forest Degradation (REDD+), conservation, sustainable forest management and enhancement of forest carbon stocks
Download File
Full text not available from this repository.
Official URL or Download Paper: https://www.mdpi.com/1999-4907/12/5/586
|
Additional Metadata
Item Type: | Article |
---|---|
Divisions: | Faculty of Forestry and Environment Institut Ekosains Borneo |
DOI Number: | https://doi.org/10.3390/f12050586 |
Publisher: | Multidisciplinary Digital Publishing Institute |
Keywords: | Forest ecosystem; Above-ground biomass; Carbon stock; REDD+; allometric equations; Agroforestry; Climate change; Pakistan |
Depositing User: | Ms. Nuraida Ibrahim |
Date Deposited: | 23 Feb 2023 03:14 |
Last Modified: | 23 Feb 2023 03:14 |
Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.3390/f12050586 |
URI: | http://psasir.upm.edu.my/id/eprint/96077 |
Statistic Details: | View Download Statistic |
Actions (login required)
View Item |