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  • CN 62-1070/P
  • ISSN 1000-694X
  • Bimonthly 1981
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Prediction of Land Use Change and Its Influence on Carbon Stocks in the Middle Reaches of Heihe River

  • Kong Junqia ,
  • Du Zeyu ,
  • Yang Rong ,
  • Su Yongzhong
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  • 1. Linze Inland River Basin Research Station/Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resource, Chinese Academy of Sciences, Lanzhou 730000, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China

Received date: 2018-05-11

  Revised date: 2018-06-19

  Online published: 2019-06-10

Abstract

Accurate prediction of land use/cover change and its impact on regional carbon reserves is of great significance to land use decision-making and climate change research. Based on the map of land use/cover in 2000 and 2012, the CA-Markov model was used to simulate the trend of land use change in 2024, and using the method provided by the 2006 IPCC Guidelines for National Greenhouse Gas Inventories, impacts of land use change on carbon stocks were assessed in the middle reaches of Heihe River during 2000-2024. Results showed that the area of arable land, grassland, construction land and woodland showed an increasing trend, while other land and water area showed a decreasing trend from 2000 to 2012. Land use/cover changes resulted in an increase of 3.22×106 t in carbon stocks from 2000 to 2012. The result of land use prediction showed that compared with 2012, the proportion of arable land, construction land, the woodland in total area in 2024 increased by 3.18%, 0.84% and 0.77%, respectively. At the same time, water area, grassland and other land decreased by 0.33%, 1.13% and 3.32%, respectively. Land use/cover changes resulted in an increase of 7.55×106 t in carbon stocks from 2012 to 2024, changes of different land use types led to more significant changes in carbon stocks, changes of arable land and woodland led to the main increase of carbon storage, and construction land was the main carbon producing source. Overall, the arable land, construction land, and woodland will continue to show an increasing trend, other land and water area will continue to show a decreasing trend from 2012 to 2024, and the capability of carbon sequestration is more obvious in 2012-2024 than 2000-2012.

Cite this article

Kong Junqia , Du Zeyu , Yang Rong , Su Yongzhong . Prediction of Land Use Change and Its Influence on Carbon Stocks in the Middle Reaches of Heihe River[J]. Journal of Desert Research, 2019 , 39(3) : 87 -97 . DOI: 10.7522/j.issn.1000-694X.2018.00078

References

[1] 刘纪远,匡文慧,张增祥,等.20世纪80年代末以来中国土地利用变化的基本特征与空间格局[J].地理学报,2014,69(1):3-14.
[2] 于贵瑞,王秋凤,朱先进.区域尺度陆地生态系统碳收支评估方法及其不确定性[J].地理科学进展,2011,30(1):103-113.
[3] 陈广生,田汉勤.土地利用/覆盖变化对陆地生态系统碳循环的影响[J].植物生态学报,2007,31(2):189-204.
[4] Solomon S.IPCC (2007):climate change the physical science basis[J].American Geophysical Union,2007,9(1):123-124.
[5] Werf G R V D,Morton D C,Defries R S,et al.Estimates of fire emissions from an active deforestation region in the southern Amazon based on satellite data and biogeochemical modelling[J].Biogeosciences,2009,6(2):235-249.
[6] Levy P E,Friend A D,White A,et al.The influence of land use change on global-scale fluxes of carbon from terrestrial ecosystems[J].Climatic change,2004,67(2/3):185-209.
[7] Liu P,Samaey G,Gear C W,et al.On the acceleration of spatially distributed agent-based computations:a patch dynamics scheme[J].Applied Numerical Mathematics,2015,92(C):54-69.
[8] Macal C M,North M J.Tutorial on agent-based modelling and simulation[J].Journal of Simulation,2010,4(3):151-162.
[9] 李少英,刘小平,黎夏,等.土地利用变化模拟模型及应用研究进展[J].遥感学报,2017,21(3):329-340.
[10] 徐海龙,尹海伟,孔繁花,等.基于潜力-约束和SLEUTH模型松散耦合的南京城市扩展模拟[J].地理研究,2017,36(3):529-540.
[11] Wu M,Ren X,Che Y,et al.A coupled SD and CLUE-S model for exploring the impact of land use change on ecosystem service value:a case study in Baoshan district,Shanghai,China[J].Environmental Management,2015,56(2):402-419.
[12] Zhang Y,Li X,Liu X,et al.Self-modifying CA model using dual ensemble Kalman filter for simulating urban land-use changes[J].International Journal of Geographical Information Science,2015,29(9):1612-1631.
[13] Huang Y,Nian P,Zhang W.The prediction of interregional land use differences in Beijing:a Markov model[J].Environmental Earth Sciences,2015,73(8):4077-4090.
[14] 李兴钢,梁成华,王延松,等.基于CA-Markov模型的辽河三角洲湿地景观格局预测[J].环境科学与技术,2013,36(5):188-192.
[15] Azizi A,Malakmohamadi B,Jafari H.Land use and land cover spatiotemporal dynamic pattern and predicting changes using integrated CA-Markov model[J].Global Journal of Environmental Science and Management,2016,2(3):223-234.
[16] Guan D J,Li H F,Inohae T,et al.Modeling urban land use change by the integration of cellular automaton and Markov model[J].Ecological Modelling,2011,222:3761-3772.
[17] 何丹,金凤君,周璟.基于Logistic-CA-Markov的土地利用景观格局变化:以京津冀都市圈为例[J].地理科学,2011,31(8):903-910.
[18] 龚文峰,袁力,范文义.基于CA-Markov的哈尔滨市土地利用变化及预测[J].农业工程学报,2012,28(14):216-222.
[19] Susanna T Y,Tong Y S,Ranatunga T,et al.plausible impacts of sets of climate and land use change scenarios on water resources[J].Applied Geography,2012,32:477-489.
[20] 马士彬,张勇荣,安裕伦.基于Logistic-CA-Markov模型的石漠化空间变化规律研究[J].中国岩溶,2015,34(6):591-598.
[21] 高凤杰,韩文文,单培明,等.基于CA-Markov的农林交错区土地利用变化分析及预测[J].中国农业大学学报,2017,22(9):145-153.
[22] 凌成星,鞠洪波,张怀清,等.基于CA-MARKOV模型的北京湿地资源变化预测研究[J].中国农学通报,2012,28(20):262-269.
[23] 井云清,张飞,张月.基于CA-Markov模型的艾比湖湿地自然保护区土地利用/覆被变化及预测[J].应用生态学报,2016,27(11):3649-3658.
[24] 李志,刘文兆,郑粉莉.基于CA-Markov模型的黄土塬区黑河流域土地利用变化[J].农业工程学报,2010,26(1):346-352.
[25] Houghton,R A.The annual net flux of carbon to the atmosphere from changes in land use 1850-1990[J].Tellus 51B,1999,298-313.
[26] IPCC.2006 IPCC Guidelines for National Greenhouse Gas Inventories[R].Hayama,Japan:Institute for Global Environmental Strategies,2006.
[27] Defries R S,Field C B,Fung I,et al.Combining satellite data and biogeochemical models to estimate global effects of human-induced land cover change on carbon emissions and primary productivity[J].Global Biogeochemical Cycles,1999,13(3):803-815.
[28] Tian H,Melillo J M,Kicklighter D W,et al.Regional carbon dynamics in monsoon Asia and its implications for the global carbon cycle[J].Global & Planetary Change,2003,37(3/4):201-217.
[29] Sitch S,Smith B,Prentice I C,et al.Evaluation of ecosystem dynamics,plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model[J].Global Change Biology,2003,9(2):161-185.
[30] 肖生春,肖洪浪.黑河流域绿洲环境演变因素研究[J].中国沙漠,2003,23(4):385-390.
[31] 廖杰,王涛,薛娴.近55 a来黑河流域绿洲演变特征的初步研究[J].中国沙漠,2012,32(5):1426-1441.
[32] 李传哲,于福亮,刘佳,等.近20年来黑河干流中游地区土地利用/覆被变化及驱动力定量研究[J].自然资源学报,2011(3):353-363.
[33] 姜朋辉,赵锐锋,赵海莉,等.1975年以来黑河中游地区土地利用/覆被变化时空演变[J].生态与农村环境学报,2012,28(5):473-479.
[34] 刘纪远.中国资源环境遥感宏观调查与动态研究[M].北京:中国科学技术出版社,1996.
[35] Ma M,Cheng G,Zhao S.Study on the dynamic change of landscape pattern of oasis in arid regions based on RS and GIS methods-application of Jinta Oasis[J].Journal of Desert Research,2001,23(1):53-58.
[36] 周成虎.地理元胞自动机研究[M].北京:科学出版社,1999.
[37] Aaviksoo K.Simulating vegetation dynamics and land use in a mire landscape using a Markov model[J].Landscape & Urban Planning,1995,31(1/3):129-142.
[38] 王友生,余新晓,贺康宁,等.基于CA-Markov模型的藉河流域土地利用变化动态模拟[J].农业工程学报,2011,27(12):330-336.
[39] 郝丽娜,粟晓玲.黑河干流中游地区适宜绿洲及耕地规模确定[J].农业工程学报,2015,31(10):262-268.
[40] 王渊刚,罗格平,赵树斌,等.新疆耕地变化对区域碳平衡的影响[J].地理学报,2014,69(1):110-120.
[41] 魏文佳,桂智凡,薛滨,等.土地利用变化对陆地生态系统碳储量的影响——以太湖流域和呼伦湖流域为例[J].第四纪研究,2012,32(2):327-336.
[42] 周涛,史培军.土地利用变化对中国土壤碳储量变化的间接影响[J].地球科学进展,2006,21(2):138-143.
[43] 陈朝,吕昌河,范兰,等.土地利用变化对土壤有机碳的影响研究进展[J].生态学报,2011,31(18):5358-5371.
[44] 杨荣,苏永中,王敏,等.新垦沙地农田土壤有机碳时空变异特征[J].中国沙漠,2013,33(4):1078-1083.
[45] 王渊刚,罗格平,冯异星,等.近50 a玛纳斯河流域土地利用/覆被变化对碳储量的影响[J].自然资源学报,2013,28(6):994-1006.
[46] 侯振宏.中国林业活动碳源汇及其潜力研究[D].北京:中国林业科学研究院,2010.
[47] Lal R,Bruce J P.The potential of world cropland soils to sequester C and mitigate the greenhouse effect[J].Environmental Science & Policy,1999,2(2):177-185.
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