新疆大学 地理科学学院, 新疆绿洲生态重点实验室,新疆,乌鲁木齐,830017
纸质出版:2022
移动端阅览
韩敏, 徐长春, 隆云霞, 等. 西北干旱区不同土地利用情景下的碳储量及碳源/汇变化模拟与预估[J]. 水土保持通报, 2022,42(3):335-344.
Han Min, Xu Changchun, Long Yunxia, et al. Simulation and Prediction of Changes in Carbon Storage and Carbon Source/Sink Under Different Land Use Scenarios in Arid Region of Northwest China[J]. Bulletin of Soiland Water Conservation, 2022, 42(3): 335-344.
韩敏, 徐长春, 隆云霞, 等. 西北干旱区不同土地利用情景下的碳储量及碳源/汇变化模拟与预估[J]. 水土保持通报, 2022,42(3):335-344. DOI: 10.13961/j.cnki.stbctb.2022.03.042.
Han Min, Xu Changchun, Long Yunxia, et al. Simulation and Prediction of Changes in Carbon Storage and Carbon Source/Sink Under Different Land Use Scenarios in Arid Region of Northwest China[J]. Bulletin of Soiland Water Conservation, 2022, 42(3): 335-344. DOI: 10.13961/j.cnki.stbctb.2022.03.042.
[目的
]
研究中国西北干旱区2000—2020年以及未来2100年不同发展情景下的土地利用变化,分析土地利用变化引起的碳储量、碳源/汇变化,以期为区域土地优化管理及碳汇增加和环境保护提供参考。[方法
]
基于2000—2020年土地利用数据,采用FLUS模型模拟未来2100年土地利用情景;采用修正后的碳密度、土地利用数据,运用InVEST模型carbon子模块估算并分析2000—2020年及未来2100年不同土地利用情景下的区域生态系统碳储量、碳源/汇及变化。[结果
]
①2000—2020年西北干旱区耕地、草地和建设用地面积持续增加,林地、水域和未利用地面积减少,21 a间全区域碳储量增长了1.60×10
8
t,其中植被碳储总量增加2.89×10
5
t,土壤碳储总量增加1.60×10
8
t。②与2020年相比,2100年自然发展情景、耕地保护情景和生态保护情景下碳储量分别增加了6.37×10
8
,7.78×10
8
,8.49×10
8
t,耕地、生态保护情景下碳储能力有明显的提升,是增加区域碳汇的重要途径。③西北干旱区碳储量值空间分布存在明显异质性,碳储量高值区(9 800~14 568 t)主要集中连片分布于山林区,而广大沙漠、戈壁区碳储量值较低(1 600~5 800 t),这与区域土地利用类型的分布密切相关。④2000—2100年碳源/汇区呈嵌套、交错分布,碳源区主要分布于天山北坡、塔里木盆地绿洲边缘及昆仑山西部,碳汇区与碳储量中、高值区分布基本一致,集中在林地、草地广布的山区。[结论
]
西北干旱区2000—2020年碳储量呈持续上升趋势,未来3种情景下碳储量也均有明显增加,特别是生态保护情景下碳储能力显著提升,有利于生态环境持续良性发展。
[Objective] The land-use changes from 2000 to 2020 and in the future (2100) under different development scenarios in the arid region of Northwest China were studied
and the changes in carbon storage and carbon source/sink caused by land-use changes were analyzed
in order to provide a reference for regional land management optimization
carbon sink increase
and environmental protection.[Methods] Based on land use data from 2000 to 2020
the FLUS model was used to simulate the land use situation in 2100. The carbon storage
carbon source/sink
and carbon changes in regional ecosystems in 2000-2020 and in 2100 under different development scenarios were estimated and analyzed by using the carbon submodule of the InVEST model with the revised carbon density and land use data.[Results] ① From 2000 to 2020
the area of cultivated land
grassland
and construction land increased continuously
while the areas of forest land
water
and unused land decreased. The total carbon storage of the region increased by 1.60×108 t during the 21 years
including 2.89×105 t for vegetation and 1.60×108 t for soil. ② Compared with 2020
carbon storage will increase by 6.37×108
7.78×108 t
and 8.49×108 t
respectively
under the natural development scenario
the cultivated land protection scenario
and the ecological protection scenario in 2100. The carbon storage capacity of the cultivated land protection scenario and the ecological protection scenario will improve significantly
and these will be important ways to increase regional carbon sink. ③ There was obvious heterogeneity in the spatial distribution of carbon storage values in Northwest China. The high-value areas of carbon storage (9 800~14 568 t) were mainly located in mountainous forest areas
while the vast desert and Gobi areas had low carbon storage values (1 600~5 800 t)
and the distribution of carbon was closely related to the distribution of regional land use types. ④ From 2000 to 2100
the carbon source/sink area was nested and interlaced. The carbon source area was mainly located over the northern slope of the Tianshan Mountains
the oasis edge of the Tarim Basin
and the Western Kunlun Mountains. The distribution of the carbon sink area was basically consistent with the middle and high value areas of carbon reserves
and concentrated on the mountainous area containing extensive forest land and grassland.[Conclusion] The carbon storage in the arid area of Northwest China showed a continuous upward trend from 2000 to 2020
and the carbon storage in the future under the three scenarios also increased significantly
especially under the ecological protection scenario
which is conducive to the sustainable and benign development of the ecological environment
Arneth A, Sitch S, Pongratz J, et al.Historical carbon dioxide emissions caused by land-use changes are possibly larger than assumed[J].Nature Geoscience, 2017, 10(2):79-84.
Houghton R A.The annual net flux of carbon to the atmosphere from changes in land use 1850-1990[J].Tellus B:Chemical and Physical Meteorology, 1999, 51(2):298-313.
Tao Yu, Li Feng, Wang Rusong, et al.Effects of land use and cover change on terrestrial carbon stocks in urbanized areas:A study from Changzhou, China[J].Journal of Cleaner Production, 2015, 103:651-657.
Arowolo A O, Deng Xiangzheng.Land use/land cover change and statistical modelling of cultivated land change drivers in Nigeria[J].Regional Environmental Change, 2018, 18(1):247-259.
徐自为, 张智杰.基于土地利用变更调查的2010-2016年新疆尉犁县生态系统碳储量时空变化[J].环境科学研究, 2018, 31(11):1909-1917.
Zhang Fan, Xu Ning, Wang Chao, et al.Effects of land use and land cover change on carbon sequestration and adaptive management in Shanghai, China[J].Physics and Chemistry of the Earth (Parts A/B/C), 2020, 120:102948.
Bu Xiaoyan, Dong Suocheng, Mi Wenbao, et al.Spatial-temporal change of carbon storage and sink of wetland ecosystem in arid regions, Ningxia Plain[J].Atmospheric Environment, 2019, 204:89-101.
Yang Yuhai, Li Weihong, Zhu Chenggang, et al.Impact of land use/cover changes on carbon storage in a river valley in arid areas of Northwest China[J].Journal of Arid Land, 2017, 9(6):879-887.
Liang Youjia, Hashimoto S, Liu Lijun.Integrated assessment of land-use/land-cover dynamics on carbon storage services in the Loess Plateau of China from 1995 to 2050[J].Ecological Indicators, 2021, 120:106939.
杨洁, 谢保鹏, 张德罡.基于InVEST和CA-Markov模型的黄河流域碳储量时空变化研究[J].中国生态农业学报(中英文), 2021, 29(6):1018-1029.
史名杰, 武红旗, 贾宏涛, 等.基于MCE-CA-Markov和InVEST模型的伊犁谷地碳储量时空演变及预测[J].农业资源与环境学报, 2021, 38(6):1010-1019.
柯新利, 唐兰萍.城市扩张与耕地保护耦合对陆地生态系统碳储量的影响:以湖北省为例[J].生态学报, 2019, 39(2):672-683.
姚俊强, 杨青, 刘志辉, 等.中国西北干旱区降水时空分布特征[J].生态学报, 2015, 35(17):5846-5855.
陈亚宁.干旱区科学概论[M].北京:科学出版社, 2021.
Liu Xiaoping, Liang Xun, Li Xia, et al.A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects[J].Landscape and Urban Planning, 2017, 168:94-116.
白杨, 郑华, 庄长伟, 等.白洋淀流域生态系统服务评估及其调控[J].生态学报, 2013, 33(3):711-717.
贾芳芳.基于InVEST模型的赣江流域生态系统服务功能评估[D].北京:中国地质大学(北京), 2014.
李克让, 王绍强, 曹明奎.中国植被和土壤碳贮量[J].中国科学(D辑):地球科学, 2003, 33(1):72-80.
解宪丽, 孙波, 周慧珍, 等.不同植被下中国土壤有机碳的储量与影响因子[J].土壤学报, 2004, 41(5):687-699.
朱超, 赵淑清, 周德成.1997-2006年中国城市建成区有机碳储量的估算[J].应用生态学报, 2012, 23(5):1195-1202.
张杰, 李敏, 敖子强, 等.中国西部干旱区土壤有机碳储量估算[J].干旱区资源与环境, 2018, 32(9):132-137.
柳梅英, 包安明, 陈曦, 等.近30年玛纳斯河流域土地利用/覆被变化对植被碳储量的影响[J].自然资源学报, 2010, 25(6):926-938.
Alam S A, Starr M, Clark B J F.Tree biomass and soil organic carbon densities across the Sudanese woodland savannah:A regional carbon sequestration study[J].Journal of Arid Environments, 2013, 89:67-76.
陈光水, 杨玉盛, 刘乐中, 等.森林地下碳分配(TBCA)研究进展[J].亚热带资源与环境学报, 2007, 2(1):34-42.
Zhu Guofeng, Qiu Dongdong, Zhang Zhuanxia, et al.Land-use changes lead to a decrease in carbon storage in arid region, China[J].Ecological Indicators, 2021, 127:107770.
刘晓娟, 黎夏, 梁迅, 等.基于FLUS-InVEST模型的中国未来土地利用变化及其对碳储量影响的模拟[J].热带地理, 2019, 39(3):397-409.
郭靖, 王光焰, 徐生武, 等.水资源管理增强下的塔里木河上中游碳储量动态评估[J].干旱区研究, 2021, 38(3):589-599.
朱文博, 张静静, 崔耀平, 等.基于土地利用变化情景的生态系统碳储量评估:以太行山淇河流域为例[J].地理学报, 2019, 74(3):446-459.
0
浏览量
824
下载量
14
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621