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中国森林凋落量时空分布特征

申广荣 项巧巧 陈冬梅 吴裕 刘春江

应用生态学报2017,Vol.28Issue(8):2452-2460,9.
应用生态学报2017,Vol.28Issue(8):2452-2460,9.DOI:10.13287/j.1001-9332.201708.026

中国森林凋落量时空分布特征

Spatio-temporal distribution characteristics of forest litterfall in China

申广荣 1项巧巧 2陈冬梅 3吴裕 1刘春江1

作者信息

  • 1. 上海交通大学农业与生物学院/低碳农业研究中心,上海200240
  • 2. 农业部都市农业(南方)重点实验室,上海200240
  • 3. 国家林业局上海城市森林生态系统国家定位观测研究站,上海200240
  • 折叠

摘要

Abstract

In this study,the relationship models at national scale between forest litterfall (and leaf litterfall) and climatic factors (mean annual mean temperature,MAT;mean annual precipitation,MAP;and actual evapotranspiration,AET) were constructed.The spatial and temporal distribution patterns of forest litterfall and leaf litterfall in 2001,2006 and 2012 were investigated by using geostatistical analysis combining with forest cover information based on remote sensing interpretation.Results indicated that the variation in litterfall and leaf litterfall were well explained at regional scales by AET than MAT and MAP.Evergreen broadleaf forest distributing mostly in South Central China possessed the highest mean yearly litterfall (636.2 g · m-2),and that of deciduous broadleaf forest in the Northeast of China was between 339-385 g · m-2.The forest leaf litterfall accounted for about 70% of total forest litterfall.The total forest litterfall in China increased from 801 Tg in 2001,and 865 Tg in 2006 to 1032 Tg in 2012,meanwhile,the forest coverage in China also presented an increasing trend,18% in 2001,20% in 2006,and 24% in 2012.The rapid increase of plantation area and stand growth in China had a great effect on the forest litterfall and its dynamic change,and the material cycle of forest ecosystem.

关键词

森林凋落量/地统计/气候因子/空间格局/遥感

Key words

forest litterfall/geostatistics/model/climatic factor/spatial pattern/remote sensing.

引用本文复制引用

申广荣,项巧巧,陈冬梅,吴裕,刘春江..中国森林凋落量时空分布特征[J].应用生态学报,2017,28(8):2452-2460,9.

基金项目

本文由中国科学院战略性先导科技专项(XDA0505020)、国家自然科学基金项目(71333010)和上海交通大学农工交叉项目(Agri-X2015004)资助 This work was supported by the Strategic Priority Research Program of the Chinese Academy of Sciences (XDA0505020),the National Natural Science Foundation of China (71333010)and the Interdiscipline Program of Agriculture and Engineering of Shanghai Jiaotong University (Agri-X2015004). (XDA0505020)

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1001-9332

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