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林业科学 ›› 2011, Vol. 47 ›› Issue (10): 1-7.doi: 10.11707/j.1001-7488.20111001

• 论文 •    下一篇

洪雅县退耕竹林碳储量时空格局

唐骄萍1,2, 李贤伟1,2, 赖元长1,3, 冯帅1,2, 王鹏1,2, 黄从德1,2   

  1. 1. 四川农业大学林学院 雅安 625014;2. 长江上游林业生态工程四川省重点实验室 雅安 625014;3. 四川省林业勘察设计研究院 成都 610081
  • 收稿日期:2010-12-15 修回日期:2011-09-08 出版日期:2011-10-25 发布日期:2011-10-25
  • 通讯作者: 李贤伟

Spatial and Temporal Patterns of Bamboo Carbon Storage in Forest Land Converted from Farmland in Hongya, Sichuan

Tang Jiaoping1,2, Li Xianwei1,2, Lai Yuanchang1,3, Feng Shuai1,2, Wang Peng1,2, Huang Congde1,2   

  1. 1. Forestry College,Sichuan Agricultural University Ya'an 625014;2. Key Laboratory of Forestry Ecological Engineering in Upper Reaches of Yangtze River,Sichuan Province Ya'an 625014;3. Sichuan Forestry Survey and Design Institute Chengdu 610081
  • Received:2010-12-15 Revised:2011-09-08 Online:2011-10-25 Published:2011-10-25

摘要:

建立退耕还林重点示范县洪雅县竹林碳储量多元线性回归遥感模型,基于碳储量遥感模型估算出四川省洪雅县退耕还林以前(1994年)、退耕还林后第4年(2004年)和退耕还林后第7年(2007年)的竹林碳储量,利用地理信息系统软件对竹林碳储量的时空格局变化进行定量分析。结果表明: 13年间(1994-2007年)洪雅县竹林碳储量和面积均呈现逐年上升趋势,前期(1994-2004年)增速大于后期(2004-2007年); 竹林碳储量和面积分布规律相似,都呈现出向低海拔、平缓坡和各坡向发展的趋势,其中2004年>25°坡度区域竹林碳储量和面积变化最明显,2004年>25°坡度区域竹林碳储量增加量占总增加量的79.53%,竹林面积增加量占总增加量的78.18%,表明退耕还林工程的实施是区域竹林碳储量与面积增加的驱动力;竹林碳密度呈现先降后升总体略微降低的特点,1994年碳密度最高为33.76 t C·hm-2,2004年下降为33.25 t C·hm-2,2007年又恢复到33.67 t C·hm-2; 利用克里金插值(Kriging)对模型进行优化可在一定程度上提高预测精度。

关键词: 竹林, 碳储量, 时空格局, 退耕还林, 3S技术

Abstract:

In this study, a remote sensing model of bamboo carbon storage was established based on the data collected in Hongya County, a key demonstration county of the Convert Cultivated Land into Forests Project in Sichuan Province. The bamboo carbon storage was estimated before the project (1994), the fourth year after the project (2004) and the seventh year after the project (2007) with the remote sensing model of bamboo carbon storage. Quantitative analysis of the bamboo carbon storage changes in spatial and temporal pattern by 3S technology software showed that: Carbon storage and area of bamboo forest are increasing year by year from 1994-2007, while growth rate at earlier stages (1994-2004) was greater than that at the late stages (2004-2007) of Convert Cultivated Land to Forests Project. The spatial distribution of carbon storage and area of bamboo forest was similar, with a trend to spread over to low elevation, flat slope and different aspects. There were obvious variations in carbon storage and area of bamboo forest on the land with slopes greater than 25° during the early period of Convert Cultivated Land to Forests Project (1994-2004), and in 2004 the increment of carbon storage and area of bamboo forest was 79.53% and 78.18% of the total increment, respectively, which indicated that Convert Cultivated Land to Forests Project was the driving force for the increase of carbon storage and area of bamboo forest. The carbon density showed a decrease at first, followed by a increase, however its value decreased slightly relative to the initial value in 1994. The carbon density was 33.76 t C·hm-2 in 1994, then it decreased to 33.25 t C·hm-2 in 2004, but it increased to 33.67 t C·hm-2 in 2007. The model, optimized by using kriging interpolation, can improve the prediction accuracy to some extent.

Key words: bamboo stand, carbon storage, spatio-temporal patterns, convert cultivated land to forests project, 3S technology

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