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中国农学通报

中国农学通报 ›› 2015, Vol. 31 ›› Issue (35): 158-163.doi: 10.11924/j.issn.1000-6850.casb15050164

所属专题： 农业地理； 耕地保护

• 资源 环境 生态 土壤 气象 • 上一篇    下一篇

黑龙江省不同土地利用方式的碳排放效应及时空格局

陈 珏,袁洪英,杨 洋   

  1. (黑龙江大学政府管理学院,哈尔滨 150080）
  • 收稿日期:2015-05-27 修回日期:2015-07-08 接受日期:2015-07-24 出版日期:2015-12-18 发布日期:2015-12-18
  • 通讯作者: 陈 珏
  • 基金资助:
    国土资源部项目“土地生态空间管控红线划定关键技术及示范”(201511001)。

Effects of Land Uses on Carbon Emission and Its Spatial-temporal Pattern in Heilongjiang Province

Chen Jue, Yuan Hongying, Yang Yang   

  1. (School of Government, Heilongjiang University, Harbin 150080)
  • Received:2015-05-27 Revised:2015-07-08 Accepted:2015-07-24 Online:2015-12-18 Published:2015-12-18

PDF (PC)

419

摘要： 为了研究黑龙江省不同土地利用方式的碳排放效应，利用土地利用和能源消耗等数据，建立碳排放效应测算模型，对黑龙江省1999—2008年10年间12个主要城市土地利用碳排放情况进行测算。研究结果表明：（1）1999—2008年黑龙江省土地利用碳排放量呈现波动上涨的趋势，年均增长约305.52×104 t；（2）建设用地是最主要碳源，约占总碳源的94%；林地是最主要碳汇，占总碳汇的99%；（3）黑龙江省土地利用碳排放空间差异显著，总体呈现由东南向西北递减的趋势，碳排放量高值区主要集中在哈大齐工业走廊和煤炭、石油等工业资源型城市，低值区主要集中在伊春、黑河等森工资源型城市。研究结果为黑龙江省未来低碳土地利用转变提供了参考。

关键词: 谷林套播, 谷林套播, 共生期, 稻田三熟制, 油菜, 生长规律, 产量

Abstract: In order to investigate the effect of land use on carbon emission in Heilongjiang Province, carbon emissions of 12 major cities during 1999 to 2008 were measured by land use and energy consumption data, and the carbon emissions model was built. The results showed that: (1) the carbon emission had an undulate increasing trend with the average speed of 305.52×104 t/a from 1999 to 2008; (2) construction land was the main carbon source, which accounted for 84% of the total carbon resource, and forest land was the main carbon sink, which accounted for 99% of the total carbon sink; (3) spatial differences of land use carbon emission was significant in Heilongjiang Province, which showed a trend of decreasing from southeast to northwest, high value areas of carbon emission were mainly concentrated in the industrial corridor and the coal, oil and other industrial resource-based cities, the low value areas of carbon emission were mainly concentrated in forest resource-based cities like Yichun and Heihe. The results could provide reference for the low-carbon land use in Heilongjiang Province.