[Quantitative Separation of Spatiotemporal Patterns and Driving Factors of Carbon Sequestration Benefits in the Beijing-Tianjin-Hebei Region].

Q2 Environmental Science
Jiao Pang, Jing Shan, Yu-Yue Yan, Zi-Han Miao, Shi-Yu Tian, Xin-Yu Guo, Han-Qi Ren, Tian-le Lü, Feng Yan
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引用次数: 0

Abstract

Net ecosystem productivity (NEP) is an important indicator for evaluating carbon sources and sinks in regional ecosystems. Clarifying its spatiotemporal differentiation pattern and driving mechanisms is crucial for precise protection and restoration of the Beijing-Tianjin-Hebei ecosystem. We estimated the net ecosystem productivity (NEP) based on MODIS remote sensing data and explored the spatial and temporal patterns of carbon sequestration benefits and succession patterns in the Beijing-Tianjin-Hebei Region from 2002 to 2020 by using Sen's trend + MK test, Hurst index, and center of gravity shift and quantitatively separated the relative contributions of carbon sequestration benefits driven by human activities and climate change by using bias correlation, complex correlation, and residual analysis. The relative contributions of anthropogenic activities and climate change in driving the spatial and temporal changes in carbon sequestration were quantitatively separated using partial correlation and residual analysis. The results showed that: ① NEP in the Beijing-Tianjin-Hebei Region showed an increasing trend year by year over the past 20 years, with a growth rate (in terms of C) of 3.066 4 g·(m2·a)-1, and the spatial manifestation was high in the northwest and low in the southeast; the areas with strong carbon sink capacity were mainly concentrated in the periphery of Zhangjiakou City and Chengde City, and those with a strong carbon source effect were distributed in the regions of Tianjin and Handan. More than 80% of the regional carbon sink capacity was on the rise, with 47.45% and 8.29% of the regions showing very significant and significant increases, respectively, especially in Zhangjiakou and Chengde; however, the future growth trend was gradually slowing down. The center of gravity of carbon sources was gradually shifting to the southeastern plains, while the center of gravity of carbon sinks was shifting from the northeast to the southwest. ② More than 50% of the regions showed positive correlations between NEP and mean annual temperature and accumulated annual precipitation; however, the significance was not strong, and the results of the composite correlation further demonstrated that there were conditions other than meteorological factors that dominated the changes in NEP. ③ The residual results showed that the proportion of degraded and improved areas in the study area was 12.41% and 87.59%, respectively, with areas of enhanced human-led carbon sequestration accounting for 94.88% of the total improved areas, while the climate-led carbon sequestration benefit reduction area accounted for 62.84% of the degraded area, indicating that anthropogenic activities in the Beijing-Tianjin-Hebei Region mainly contributed positively to ecosystems in terms of carbon sequestration benefit. The results of the study are instructive for accurately identifying the future focus of ecological protection and restoration in the Beijing-Tianjin-Hebei Region.

京津冀地区固碳效益时空格局及驱动因素定量分离[j]。
净生态系统生产力(NEP)是评价区域生态系统碳源和碳汇的重要指标。明确京津冀生态系统的时空分异格局及其驱动机制,对京津冀生态系统的精准保护与修复具有重要意义。基于MODIS遥感数据估算了京津冀地区2002 - 2020年净生态系统生产力(NEP),利用Sen’s趋势+ MK检验、Hurst指数、重心偏移等方法探讨了京津冀地区固碳效益和演替的时空格局,并利用偏倚相关、复相关、复相关等方法定量分离了人类活动和气候变化对固碳效益的相对贡献。残差分析。利用偏相关分析和残差分析定量分离了人类活动和气候变化对碳汇时空变化的相对贡献。结果表明:①NEP在京津冀地区表现出逐年增加的趋势在过去的20年里,与增长速度(3.066 C)的4 g·(m2·)1,和空间表现是东南高西北低,碳汇能力强的地区主要集中在城市张家口和承德城市的边缘,和那些强大的碳源效应分布在天津和邯郸的地区。超过80%的区域碳汇容量呈上升趋势,其中非常显著和显著增长的区域分别占47.45%和8.29%,尤其是张家口和承德,但未来增长趋势逐渐放缓。碳源重心逐渐向东南平原转移,碳汇重心由东北向西南转移。②超过50%的区域NEP与年平均气温、年累积降水呈显著正相关,但显著性不强,综合相关结果进一步表明,影响NEP变化的还有气象因子以外的条件。③残差结果表明,研究区退化区和改善区所占比例分别为12.41%和87.59%,其中人类主导固碳增强区占改善区总面积的94.88%,气候主导固碳效益降低区占退化区总面积的62.84%;表明京津冀地区人为活动对生态系统的固碳效益贡献主要是积极的。研究结果对准确定位京津冀地区未来生态保护与修复重点具有指导意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
环境科学
环境科学 Environmental Science-Environmental Science (all)
CiteScore
4.40
自引率
0.00%
发文量
15329
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