globalchange  > 气候变化与战略
CSCD记录号: CSCD:5747779
论文题名:
江西省森林净初级生产力动态变化特征及其驱动因子分析
其他题名: Forest net primary productivity dynamics and driving forces in Jiangxi Province, China
作者: 李登秋1; 张春华2; 居为民3; 刘丽娟1
刊名: 植物生态学报
ISSN: 1005-264X
出版年: 2016
卷: 40, 期:7, 页码:2781-2786
语种: 中文
中文关键词: 气候变化 ; 林龄 ; 江西省 ; 净初级生产力 ; 氮沉降
英文关键词: CO_2 ; climate change ; CO_2 ; forest age ; Jiangxi Province ; net primary productivity ; nitrogen deposition
WOS学科分类: FORESTRY
WOS研究方向: Forestry
中文摘要: 亚热带森林生态系统具有巨大的固碳潜力。净初级生产力(NPP)在碳循环过程中具有重要的作用, 受到气候变化、大气成分、森林扰动的强度和频度、林龄等因子的综合影响, 然而目前上述各因子对亚热带森林NPP变化的贡献尚不明确, 需要鉴别森林NPP时空变化的主要驱动因子, 以准确认识亚热带森林生态系统碳循环。该文综合气象数据、年最大叶面积指数(LAI)、参考年NPP (BEPS模型模拟)、林龄、森林类型、土地覆盖、数字高程模型(DEM)、土壤质地、CO_2浓度、氮沉降等多源数据, 利用InTEC模型(Integrated Terrestrial Ecosystem Carbon-budget Model)研究亚热带典型地区江西省森林生态系统1901-2010年NPP时空动态变化特征, 通过模拟情景设计, 着重讨论1970-2010年气候变化、林龄、CO_2浓度和氮沉降对森林 NPP动态变化的影响。研究结果如下: (1) InTEC模型能较好地模拟研究区NPP的时空变化; (2)江西省森林NPP 1901-2010年为(47.7 4.2) Tg C·a~(-1) (平均值标准偏差), 其中20世纪70年代、80年代、90年代分别为50.7、48.8、45.4 Tg C·a~(-1), 2000-2009年平均为55.2 Tg C·a~(-1); 随着森林干扰后的恢复再生长, 江西省森林NPP显著上升, 2000-2009年NPP增加的森林面积占森林总面积的60%; (3) 1970-2010年, 仅考虑森林干扰因子和仅考虑非干扰因子(气候、氮沉降、CO_2浓度)情景下NPP分别为43.1和53.9 Tg C·a~(-1), 比综合考虑干扰因子和非干扰因子作用下的NPP分别低估7.3 Tg C·a~(-1) (低估的NPP与综合考虑干扰因子和非干扰因子作用下NPP的比值为14.5%,下同)和高估3.6 Tg C·a~(-1) (7.1%); 气候因子导致平均NPP减少2.0 Tg C·a~(-1) (4.7%), 氮沉降导致平均NPP增加4.5 Tg C·a~(-1) (10.4%), CO_2浓度变化及耦合效应(氮沉降+ CO_2浓度变化)分别导致平均NPP增加4.4 Tg C·a~(-1) (10.3%)和9.4 Tg C·a~(-1) (21.8%)。
英文摘要: Aims Subtropical forest ecosystem has great carbon sequestration capacity. Net primary productivity (NPP) plays a critical role in forest carbon cycle and is affected by a number of factors, including climate change, atmospheric composition, forest disturbance intensity and frequency, and forest age, etc. However, the contribution of these factors to the temporal-spatial dynamics of NPP is still not clear. Quantifying the main driving forces on the temporal-spatial dynamics of NPP for subtropical forest ecosystems is a critical foundation for understanding their carbon cycle. Methods We utilized multi-sources dataset, including observed meteorological data, inversed annual maximum leaf area index (LAI), referenced NPP (simulated by Boreal Ecosystem Productivity Simulator (BEPS) model), forest age and forest types, land cover, digital elevation model (DEM), soil texture, CO_2 concentration and nitrogen deposition. We used the InTEC (integrated terrestrial ecosystem carbon-budget) model to simulate the NPP dynamics for forest ecosystems in Jiangxi Province during the period of 1901-2010. The effects of climate change, forest age, CO_2 concentration and nitrogen (N) deposition on forest NPP from 1970 to 2010 were discussed through designed scenarios. Important findings (1) Validations by flux measurements and forest inventory data indicated that the InTEC model was able to capture the interannual and spatial variations of forest NPP. (2) The average forest NPP was 47.7 Tg C·a~(-1) ( 4.2 Tg C·a~(-1)) during 1901-2010. The NPP in the 1970s, 1980s, 1990s and 2000s was 50.7, 48.8, 45.4, and 55.2 Tg C·a~(-1), respectively. As forest regrows, NPP significantly increased for forests in Jiangxi Province in the 2000s, and exceed that in the 1970s for more than 60% of the forest area. (3) During 1970-2010, under the scenarios of disturbance and non-disturbance, the forest NPP were underestimated by 7.3 Tg C·a~(-1) (14.5%) and overestimated by 3.6 Tg C·a~(-1) (7.1%) compared to the scenarios of all disturbance and non-disturbance factors, respectively. Compared to the average NPP during 1970-2010, climate change decreased NPP by -2.0 Tg C·a~(-1) (-4.7%), N deposition increased NPP by 4.5 Tg C·a~(-1) (10.4%), CO_2 concentration change, and the integrated fertilization of CO_2 and N deposition increased NPP by 4.4 Tg C·a~(-1) (10.3%) and 9.4 Tg C·a~(-1) (21.8%), respectively.
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/151808
Appears in Collections:气候变化与战略

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作者单位: 1.浙江农林大学环境与资源学院, 浙江省森林生态系统碳循环与固碳减排重点实验室, 临安, 浙江 311300, 中国
2.鲁东大学资源与环境工程学院, 烟台, 山东 264025, 中国
3.南京大学国际地球系统科学研究所, 南京, 江苏 210023, 中国

Recommended Citation:
李登秋,张春华,居为民,等. 江西省森林净初级生产力动态变化特征及其驱动因子分析[J]. 植物生态学报,2016-01-01,40(7):2781-2786
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