[1]周 伟,何顺兵,杨 晗,等.基于BIOME-BGC模型的三峡库区不同草地群落碳源/汇的动态变化研究[J].山地学报,2018,(01):13-22.[doi:10.16089/j.cnki.1008-2786.000296]
　ZHOU Wei*,HE Shunbing,YANG Han,et al.Dynamic Changes of Carbon Source and Sink in Different GrasslandCommunities in Three Gorges Reservoir Area Based on BIOME-BGC Model[J].Mountain Research,2018,(01):13-22.[doi:10.16089/j.cnki.1008-2786.000296]
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基于BIOME-BGC模型的三峡库区不同草地群落碳源/汇的动态变化研究()
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《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2018年01期
页码:
13-22
栏目:
山地环境
出版日期:
2018-01-30

文章信息/Info

Title:
Dynamic Changes of Carbon Source and Sink in Different Grassland Communities in Three Gorges Reservoir Area Based on BIOME-BGC Model
文章编号:
1008-2786-(2018)1-013-10
作者:
周 伟; 何顺兵; 杨 晗; 何绪刚; 牟凤云
重庆交通大学 建筑与城市规划学院 地理信息与国土资源系,重庆 400074
Author(s):
ZHOU Wei*; HE Shunbing; YANG Han; HE Xugang; MU Fengyun
Department of Geography and Land Resources,College of Architecture and Urban Planning, Chongqing Jiaotong University, Chongqing 400074, China
关键词:
碳汇;  草地群落;  BIOME-BGC模型;  碳循环;  三峡库区
Keywords:
carbon sink;  grassland community;  BIOME-BGC model;  carbon cycle;  Three Gorges reservoir area
分类号:
Q945.11
DOI:
10.16089/j.cnki.1008-2786.000296
文献标志码:
A
摘要:
三峡库区草地群落净生态系统生产力(NEP)的核算对于碳源/汇功能评价和生态屏障功能诊断具有重要理论意义。本文选取三峡库区的三种典型草地群落(雀梅藤群落、芒草群落、扭黄茅群落)为研究对象。基于气象数据和基础数据(高程、植被类型、土壤质地等),利用BIOME-BGC模型模拟并分析了1999-2013年库区草地群落植被NPP、NEP的变化特征及其与水热因子的相关性,分析了碳储量的变化特征及储存分布差异。结果表明:三种草地群落的植被NPP、NEP的年内变化规律均呈现倒U型, 其中7-8月数值最大,呈现出明显碳源-碳汇-碳源的变化特征; 三种草地群落多年NEP的平均值分别为6.63、4.85、4.17 gC·m-2·a-1,碳汇功能明显。不同草地群落NPP、NEP对水热因子响应差异明显,其中雀梅藤群落NPP与温度呈显著正相关,与降水量呈负相关; 芒草群落、扭黄茅群落NPP与温度均呈负相关,与降水量呈正相关; 三个草地群落的NEP与温度均呈正相关,与降水量均呈负相关。三种草地群落碳储量丰富,多年累计值分别为33 979、50 750、29 236 kgC·m-2,且85%～90%储存在土壤中,植被碳储量最少约为3%～4%。
Abstract:
In this paper, three typical grassland communities,the meteorological data and the basic data(longitude and latitude, elevation, vegetation type, soil texture, etc.)were applied to estimate grassland NPP, NEP and carbon(C)storage in the Three Gorges reservoir area from 1999 to 2013 based on the BIOME-BGC model.Meanwhile, the interannual and seasonal change, and the correlations between vegetation NPP, NEP and temperature, precipitation were explored.Results indicated that the annual variation of vegetation NPP and NEP presented inverted U-shape, and reached maximum in July and August, showing obvious changing characteristics from C source to C sink and then to C source.The average NEP of three grassland communities were 6.63, 4.85 and 4.17 gC·m-2·a-1, showing obvious C sink function.There was a significant positive correlation between NEP and temperature, and negative correlation with the precipitation.And the diverse responses of the NPP of different grassland communities to hydrothermal factors were obvious.The total C storage of the three grassland communities were 33 979,50 750,29 236 gC·m-2.Besides, soil organic C stock was the largest one, accounting for 85% to 90% of the total; and the vegetation C storage was the least one, accounting for about 3% to 4%.

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备注/Memo

备注/Memo:
收稿日期(Received date):2016-09-22; 改回日期(Accepted date):2017-03-12
基金项目(Foundation item):国家自然科学基金(41501575); 重庆市科委项目(cstc2016jcyjA1540); 重庆交通大学博士科研启动金(14JDKJC-B017)。 [National Natural Science Foundation of China(41501575); Basic Science and Advanced Technology Fund of Chongqing Scientific Council(cstc2016jcyjA1540); DR Launch of the Scientific Research(14JDKJC-B017)]
作者简介(Biography):周伟(1984-),女,博士,副教授,主要研究方向:生态环境遥感监测和3S技术。[Zhou Wei(1984-), female, Ph.D, associate professor, research on remote sensing of ecosystem and 3s technology] E-mail: zhouw866@163.com
更新日期/Last Update: 2018-01-30