| Autor: |
Xia, Xiaosheng, Xia, Jiangzhou, Chen, Xiuzhi, Fan, Lei, Liu, Shuguang, Qin, Yuanwei, Qin, Zhangcai, Xiao, Xiangming, Xu, Wenfang, Yue, Chao, Yue, Xu, Yuan, Wenping |
| Předmět: |
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| Zdroj: |
Journal of Geophysical Research. Biogeosciences; Apr2023, Vol. 128 Issue 4, p1-16, 16p |
| Abstrakt: |
As an important type of terrestrial carbon sink, forests play a critical role in offsetting anthropogenic fossil fuel CO2 emissions which should help nations to achieve carbon neutrality goals worldwide. According to National Forest Inventory (NFI), China has experienced substantial increases in forest cover by benefiting from national afforestation projects initiated in the l980s. However, none of the current land use and land cover (LULC) data sets can reproduce the long‐term changes of forest cover derived from NFI in China. Here, by combining NFI and 20 LULC data sets, we developed a new method of reconstructing historical forest cover in China from 1980 to 2015 at 5‐year intervals. The new forest cover data set can accurately reproduce the historical changes of forest cover in China during this period. Validated against 3851 field survey samples covering the study period of 1985–2015, the data sets show high accuracy with overall accuracy varying from 76.9% to 99.4%. Accurate long‐term forest cover maps have great potential for use in estimating terrestrial carbon, tracking forest management, and other scientific research studies. Plain Language Summary: Planting trees can absorb carbon dioxide from the atmosphere and mitigate global warming. Benefiting from the national afforestation projects initiated in the early 1980s, forests in China have grown significantly. However, these land cover maps, based on remote sensing satellite observations, do little to reproduce this remarkable greening change. Therefore, we produced a new forest map data set for China from 1980 to 2015 by combining the statistical forest area and up to 20 different remotely sensed land cover maps at 5‐year intervals. The new forest map data set has a high validation accuracy and reproduces the greening process in China well. Accurate long‐term forest maps are essential to better understanding the potential of trees to mitigate climate change through CO2 uptake. Key Points: We reconstructed long‐term Chinese forest cover maps by combining national forest inventory and 20 land use and land cover data setsThe reconstructed forest cover maps reproduced well Chinese forest change consistent with national forest inventoryReconstructed forest maps provide the distribution of various forest types in China [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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