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2002~2020年京津冀植被固碳能力时空分异及其影响因素
摘要点击 668  全文点击 64  投稿时间:2024-05-28  修订日期:2024-07-18
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中文关键词  京津冀  植被固碳  植被净初级生产力(NPP)  时空分异  最优参数地理探测器(OPGD)  影响因素
英文关键词  Beijing-Tianjin-Hebei  vegetation carbon sequestration  net primary productivity (NPP)  spatial and temporal variability  optimal parameter geodetector (OPGD)  influencing factors
作者单位E-mail
王宗超 河北农业大学资源与环境科学学院, 保定 071000 1148583138@qq.com 
闫丰 河北农业大学国土资源学院, 保定 071000
中国地质大学(北京)水资源与环境学院, 北京 100083 
 
田朋飞 河北农业大学资源与环境科学学院, 保定 071000  
梁阅兵 河北农业大学资源与环境科学学院, 保定 071000  
李远航 河北农业大学国土资源学院, 保定 071000  
温泽华 河北农业大学资源与环境科学学院, 保定 071000  
陈亚恒 河北农业大学国土资源学院, 保定 071000 chenyaheng@126.com 
中文摘要
      植被净初级生产力(NPP)是反映植被生长状况的重要变量,也是表征植被固碳能力的重要指标. 基于2002~2020年MODIS NPP及气候地形等多源数据,采用趋势分析、空间分析、Hurst指数、最优参数地理探测器和偏相关等方法从县域尺度和像元尺度上对京津冀地区的植被固碳能力时空分异及其影响因素进行探究. 结果表明:①京津冀地区2002~2020年间植被固碳能力呈波动增加趋势,年均增加4.316 6 g·(m2·a)-1. 其中极显著增加区域位于西北和东北一带(张家口市和承德市);下降区域零星分布于迁安、丰南、曹妃甸、昌黎、黄骅、武安、永年和大名等县区. ②空间上,植被固碳能力呈现由西北向东南“低-高-低”的阶梯式分布格局,东北均值高,西北、东南均值低;未来京津冀地区植被固碳能力发展东南部较西北部更为稳定,整体上呈缓慢增加趋势. ③年均气温、地貌类型和岩石类型是植被固碳能力变化的主要影响因子,且不同影响因子之间对植被固碳能力变化存在交互增强作用. 年均气温和蒸散发均对植被固碳能力有促进作用,但不同区域的植被固碳能力对气温和蒸散发的响应有明显差异. 研究结果有助于完善京津冀地区植被固碳能力变化特征及其驱动机制,亦可为该区域制定固碳减排政策提供参考.
英文摘要
      Vegetation net primary productivity (NPP) is an important variable reflecting the growth status of vegetation and an important indicator characterizing the carbon sequestration capacity of vegetation. Based on multi-source data such as MODIS NPP and climatic topography from 2002 to 2020, the spatial and temporal variations of vegetation carbon sequestration capacity in the Beijing-Tianjin-Hebei Region and its influencing factors were investigated at the county scale and image metric scale by using the methods of trend analysis, spatial analysis, Hurst index, optimal parameter geodetector, and bias correlation. The results showed that: ① The vegetation carbon sequestration capacity in the Beijing-Tianjin-Hebei Region showed a fluctuating increasing trend from 2002 to 2020, with an average annual increase of 4.316 6 g·(m2·a)-1. A total of 64.77% of the highly significant increasing areas were located in the northwestern and northeastern parts of the region (Zhangjiakou City and Chengde City), while 3.61% of the decreasing areas were sporadically located in Qian'an, Fengnan, Caofeidian, Changli, Huanghua, Wuan, Yongnian, Daming, and other counties and districts. ② Spatially, the vegetation carbon sequestration capacity showed a stepwise distribution pattern of “low-high-low” from northwest to southeast, with a high mean value in the northeast, low mean values in the northwest and southeast, and large spatial differences. The overall spatial distribution of the Hurst index showed a decreasing trend from the southeast to the northwest, which indicates that the development of the vegetation carbon sequestration capacity of the southeast of the Beijing-Tianjin-Hebei Region was more stable than that of the northwest in the future, and the study area was more stable than in the northwest. This indicates that the future development of vegetation carbon sequestration capacity in the southeast of the Beijing-Tianjin-Hebei Region is more stable than that in the northwest, and that the future vegetation carbon sequestration capacity in the study area is generally on a slow increase. ③ Mean annual temperature, landform type, and rock type were the main factors influencing the changes of vegetation carbon sequestration capacity, and there was an interactive enhancement effect on the changes of vegetation carbon sequestration capacity among different influencing factors. Both mean annual air temperature and evapotranspiration (ET) contributed to the C sequestration capacity of vegetation, but the response of C sequestration capacity of vegetation to air temperature and ET varied significantly in different regions. The results of this study can help to improve the characteristics of vegetation C sequestration capacity and its driving mechanism in the Beijing-Tianjin-Hebei Region and can also provide a reference for the formulation of C sequestration and emission reduction policies in the region.

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