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利用多时相 Landsat 卫星数据和实地清查评估巴基斯坦阿扎德克什米尔(AJK)亚热带松林的森林覆盖和碳储量变化。

Assessment of forest cover and carbon stock changes in sub-tropical pine forest of Azad Jammu & Kashmir (AJK), Pakistan using multi-temporal Landsat satellite data and field inventory.

机构信息

Department of Forest, Azad Jammu & Kashmir, Pakistan.

Institute of Geo-information & Earth Observation (IGEO), PMAS-Arid Agriculture University Rawalpindi, Pakistan.

出版信息

PLoS One. 2020 Jan 23;15(1):e0226341. doi: 10.1371/journal.pone.0226341. eCollection 2020.

Abstract

This study aimed at estimating temporal (1989-2018) change in forest cover, carbon stock and trend in corresponding CO2 emissions/sequestration of a sub-tropical pine forest (STPF) in AJK, Pakistan. Our field inventory estimation shows an average above ground biomass (AAGB) accumulation of 0.145 Kt/ha with average carbon stock (ACS) value of 0.072 Kt/ha. Landsat TM, ETM+ and OLI images of 1989, 1993, 1999, 2005, 2010, 2015 and 2018 were used to extract vegetation fractions through Linear Spectral Mixture Analysis (LSMA) and forest area was calculated for respective years. Based on the forest area and estimated ACS value, the biomass carbon stock with corresponding CO2 emissions/sequestration was worked out for each time and change in forest carbon stock was determined for different time periods from 1989 to 2018. Our analysis shows net increase of 561 ha in forest cover and 40.39 Kt of ACS along with increase in corresponding CO2 sequestrations of 147.83 Kt over the study period. The results based on combination of remote sensing and field inventory provide valuable information and scientific basis to plan and ensure sustainable forest management (SFM) through reforestation, protection and conservation to enhance and maintain adequate forest cover and reduce CO2 emissions.

摘要

本研究旨在估算巴基斯坦 AJK 地区亚热带松林(STPF)的森林覆盖、碳储量及其对应 CO2 排放/吸收的时间变化(1989-2018 年)。我们的实地清查估计显示,平均地上生物量(AAGB)积累量为 0.145 Kt/ha,平均碳储量(ACS)值为 0.072 Kt/ha。我们使用了 1989 年、1993 年、1999 年、2005 年、2010 年、2015 年和 2018 年的 Landsat TM、ETM+和 OLI 图像,通过线性光谱混合分析(LSMA)提取植被分数,并计算了各个年份的森林面积。根据森林面积和估计的 ACS 值,我们计算了每个时间的生物质碳储量及其对应的 CO2 排放/吸收,并确定了 1989 年至 2018 年不同时间段的森林碳储量变化。我们的分析表明,在研究期间,森林覆盖面积净增加了 561 公顷,ACS 增加了 40.39 Kt,相应的 CO2 吸收量增加了 147.83 Kt。这项基于遥感和实地清查相结合的研究结果,为通过重新造林、保护和保护来规划和确保可持续森林管理(SFM)提供了有价值的信息和科学依据,以提高和维持足够的森林覆盖面积,并减少 CO2 排放。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbb0/6977729/d01f86842b55/pone.0226341.g001.jpg

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