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基于表面积的陆地生态系统碳储量及其影响因素评估

Assessment of carbon stocks and influencing factors in terrestrial ecosystems based on surface area.

作者信息

Wang Yang, Wang Min, Zhang Jirong, Wu Yingmei, Zhou Yan

机构信息

Faculty of Geography, Yunnan Normal University, Kunming 650500, China.

出版信息

iScience. 2024 Nov 19;27(12):111431. doi: 10.1016/j.isci.2024.111431. eCollection 2024 Dec 20.

DOI:10.1016/j.isci.2024.111431
PMID:39687023
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11647217/
Abstract

The topography of the border ecological barrier area in southern Yunnan is complex, and utilizing the vertically projected area to estimate carbon stocks may lead to significant errors. This study uses multisource data and multiple models to investigate the spatial and temporal variations in surface carbon stocks and the factors affecting them in the study area. Results show: The difference between the surface area and planar area in the study area is large, and the spatial and temporal changes of surface land use and carbon stock based on this are more significant, showing an inverted V-shape trend in time and a spatial distribution pattern of "high southeast, low northwest". NDVI and slope were the dominant factors. The results of this study provide a new surface-scale perspective for a deeper understanding of carbon stock and land-use planning in the mountainous region represented by the border ecological zone in southern Yunnan.

摘要

滇南边境生态屏障区地形复杂,利用垂直投影面积估算碳储量可能会导致较大误差。本研究利用多源数据和多种模型,对研究区域地表碳储量的时空变化及其影响因素进行了探究。结果表明:研究区域地表面积与平面面积差异较大,基于此的地表土地利用和碳储量时空变化更为显著,在时间上呈倒V形趋势,空间分布格局为“东南高、西北低”。归一化植被指数(NDVI)和坡度是主导因素。本研究结果为深入理解以滇南边境生态区为代表的山区碳储量和土地利用规划提供了新的地表尺度视角。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e95f/11647217/1d7077dc4e92/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e95f/11647217/56d8c7c5a46d/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e95f/11647217/c8ad6ba7f29e/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e95f/11647217/0a588b57fdef/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e95f/11647217/1c8965af1762/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e95f/11647217/3830fce12634/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e95f/11647217/a2c72d9d588e/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e95f/11647217/7d1cb75d8b5b/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e95f/11647217/1d7077dc4e92/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e95f/11647217/56d8c7c5a46d/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e95f/11647217/c8ad6ba7f29e/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e95f/11647217/0a588b57fdef/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e95f/11647217/1c8965af1762/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e95f/11647217/3830fce12634/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e95f/11647217/a2c72d9d588e/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e95f/11647217/7d1cb75d8b5b/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e95f/11647217/1d7077dc4e92/gr7.jpg

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