期刊文献+

京津冀地区生态系统生产力估算及时空格局分析 被引量:4

Ecosystem Productivity and Its Spatio-temporal Pattern in Beijing-Tianjin-Hebei Region
下载PDF
导出
摘要 为准确评估京津冀地区生态系统生产力状况,该研究收集整理了近30年(1983-2012年)的气象观测和遥感数据,基于BEPS生态过程机理模型估算了该地区森林、农田、草地和灌丛等不同生态系统总初级生产力(GPP)和净初级生产力(NPP),并分析了其时空格局及变化趋势,探讨了其与气候变化的关系。结果表明:1)该地区生态系统整体表现为碳汇功能,GPP、NPP年均总量分别为234.6TgC、123.12TgC;2)近30年间生态系统生产力表现为波动增加的变化趋势,GPP、NPP年均总量分别增加0.704TgC、0.112TgC;3)不同生态系统生产力具有明显的差异,从净光合固碳能力上看,灌丛年均NPP最高(781.77gC/m^2),其次为森林(652.65gC/m^2)、农田(584.15gC/m^2)、草地(278.41gC/m^2)、湿地(103.29gC/m^2);从变化趋势上看,森林生态系统生产力增加趋势较显著(P<0.01),GPP年均增加6.41gC/m^2,NPP年均增加2.69gC/m^2,其次为草地、灌丛;4)该地区生态系统生产力与降水呈极显著的正相关(P<0.001),而与气温、日照的相关性较弱;另外,降水对GPP的影响是气温的2.11倍,对NPP的影响是气温的3.95倍,表明降水是影响该地区生态系统生产力变化的主要气候因子,其次是气温。 To accurately evaluate the ecosystem productivity in Beijing-Tianjin-Hebei Region,this study collected and collated meteorological observations and remote sensing data for recent 30 years.Based on the BEPS ecological process mechanism model driven by remote sensing,gross primary production (GPP) and net primary production (NPP) for different ecosystems such as forest,farmland,grassland,shrub etc.in Beijing-Tianjin-Hebei Region were estimated.The spatio-temporal patterns and trends of GPP and NPP were analyzed,and the relationships between them and climate factors were discussed.The results showed that the ecosystems in Beijing-Tianjin-Hebei Region acted as carbon sinks.The annual average total GPP was 234.6 Tg C,and the annual average total NPP was 123.12 Tg C.In the last 30 years,GPP and NPP showed a volatility increases and evident regional heterogeneity in spatial distribution.The annual average increases of total GPP and total NPP were 0.704 Tg C and 0.112 Tg C,respectively.The productivities of different ecosystems were obviously different.In terms of net photosynthetic carbon sequestration capacity of vegetation,the annual average NPP of shrub was the highest (781.77 g C/m^2),followed by forest (652.65 g C/m^2),farmland (584.15 g C/m^2),grassland(278.41 g C/m^2) and wetland(103.29 g C/m^2).The increasing trend of forest ecosystem was significant ( P <0.01),with an annual average increase of 6.41 g C/m^2 for GPP and 2.69 g C/m^2 for NPP,followed by grassland and shrub.Further analysis showed that ecosystem productivity was positively correlated with precipitation ( P <0.001),but not strongly correlated with temperature and sunshine.The effect of precipitation on GPP was about 2.11 times that of temperature.The effect of precipitation on NPP was about 3.95 times that of temperature.The results showed that precipitation was the main climatic factor that affected ecosystem productivity in Beijing-Tianjin-Hebei Region,followed by temperature.
作者 孙雷刚 王绍强 徐全洪 王苗苗 SUN Lei-gang;WANG Shao-qiang;XU Quan-hong;WANG Miao-miao(Key Laboratory of Ecosystem Network Observation and Modeling,Institute of Geographic Sciences and Nature Resources Research,Chinese Academy of Sciences,Beijing 100101;University of Chinese Academy of Sciences,Beijing 100049;Hebei Engineering Research Center for Geographic Information Application,Institute of Geographical Sciences,Hebei Academy of Sciences,Shijiazhuang 050011,China)
出处 《地理与地理信息科学》 CSCD 北大核心 2019年第5期109-117,I0003,共10页 Geography and Geo-Information Science
基金 国家重点研发计划项目(2017YFC0503803) 河北省自然科学基金项目(D2016302002) 河北省科技计划项目(17390313D) 河北省重点研发计划项目(18390318D) 河北省科学院科技计划项目(18104)
关键词 京津冀地区 生态系统生产力 GPP NPP 时空格局 Beijing-Tianjin-Hebei Region ecosystem productivity gross primary production net primary production spatio-temporal pattern
  • 相关文献

参考文献18

二级参考文献400

共引文献616

同被引文献87

引证文献4

二级引证文献30

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部