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1. 西北农林科技大学经济管理学院, 陕西 杨凌,712100
2. 华中农业大学公共管理学院,武汉,430070
3. 新疆大学经济与管理学院,乌鲁木齐,830046
Published:2024
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ZHANG Chaozheng, YANG Gangqiao, SUN Xiaoyu, et al. Stages Division and Characteristics Measurement of Land Use Change in the Middle Reaches of the Yangtze River[J]. 2024, 38(1): 231-241.
ZHANG Chaozheng, YANG Gangqiao, SUN Xiaoyu, et al. Stages Division and Characteristics Measurement of Land Use Change in the Middle Reaches of the Yangtze River[J]. 2024, 38(1): 231-241. DOI: 10.13870/j.cnki.stbcxb.2024.01.006.
[目的] 基于经济社会发展转型视角
探究长江中游地区土地利用变化的总体特征、过程特征和轨迹特征。 [方法] 通过分析变化幅度、变化速度和地学信息图谱等特征。[结果] (1)2000—2018年
长江中游地区经济社会发展可划分为"由初级产品生产阶段II期向工业化中期转型
城镇化缓慢发展与人口严重外流期"和"由工业化中期向工业化后期转型
城镇化稳步发展与人口持续回流期"2大阶段。(2)就变化总体特征而言
以耕地面积持续减少
水域和建设用地面积持续增加
林地、草地、湿地面积明显减少
未利用地面积保持相对稳定为主。(3)就变化过程特征而言
2000—2010年以耕地和林地相互转化
耕地向建设用地和水域转化
以及水域向湿地转化为主;2010—2018年以耕地和建设用地相互转化
林地向建设用地和耕地转化
以及湿地向水域转化为主。(4)就变化轨迹特征而言
以前期变化型为主
后期变化型和反复变化型次之
持续变化型所占比例较小。[结论] 长江中游地区土地利用变化阶段性特征明显
主要表现为不同经济社会转型过程中由区域内不同土地利用类型转化规模与方向所导致的土地利用数量与空间结构变化。
[Objective] From the perspective of socioeconomic development transition
this study aims to explores the spatiotemporal characteristics of land use change in the middle reaches of the Yangtze River (MRYR). [Methods] The method of change range and change speed of land use change
as well as geographical information map were employed. [Results] (1) The socioeconomic development stage of the MRYR have undergone two transition processes during 2000—2018. The first is from the primary production stage II to the middle industrialization stage
with slow growth of urbanization and serious outflow of population. The second is from the middle industrialization stage to the late industrialization stage
with steady growth of urbanization and continuous return of population. (2) In terms of overall characteristics
the cultivated land area continues to decrease
the water area and construction land area continue to increase
the woodland
grassland and wetland area obviously decrease
and the unused land area remains relatively stable. (3) In terms of process characteristics
in 2000—2010
cultivated land and forest land were transformed into each other
cultivated land into construction land and water area
and water area into wetland were the main change types. In 2010—2018
cultivated land and construction land were transformed into each other
forest land into construction land and cultivated land
and wetland into water area were the main change types. (4) In terms of trajectory characteristics
the early change type is the main type
followed by the late change type and repeated change type
and the proportion of continuous change type is small. [Conclusion] The stage characteristics of land use change in the MRYR are obvious
which is manifested in the change of land use quantitative and spatial structure caused by the scale and direction of transformation between different land use types in different transition periods of socioeconomic development.
习近平.继往开来,开启全球应对气候变化新征程:在气候雄心峰会上的讲话[J].一带一路报道(中英文),2021(1):20-21. XI J P. Building on past achievements and launching a new journey for global climate actions[J]. Report on the Belt and Road (Chinese and English),2021(1):20-21.
CHEN B, CHEN F, CIAIS P, et al. Challenges to achieve carbon neutrality of China by 2060: Status and perspectives[J].Science Bulletin,2022,67(20):2030-2035.
SUN L L, CUI H J, GE Q S. Will China achieve its 2060 carbon neutral commitment from the provincial perspective?[J].Advances in Climate Change Research,2022,13(2):169-178.
LI K, CAO J, ADAMOWSKI J F, et al. Assessing the effects of ecological engineering on spatiotemporal dynamics of carbon storage from 2000 to 2016 in the Loess Plateau area using the invest model: A case study in Huining County, China[J].Environmental Development,2021,39:e100641.
段璇瑜,龚文峰,孙雨欣,等.海南岛海岸带土地利用变化及其对碳储量时空演变的影响[J].水土保持通报,2022,42(5):301-311. DUAN X Y, GONG W F, SUN Y X, et al. Land use change and its impact on temporal and spatial evolution of carbon storage in coastal zone of Hainan Island[J].Bulletin of Soil and Water Conservation,2022,42(5):301-311.
ZHANG D N, ZHAO Y H, WU J S. Assessment of carbon balance attribution and carbon storage potential in China's terrestrial ecosystem[J].Resources, Conservation and Recycling,2023,189:e106748.
邓祥征,蒋思坚,李星,等.区域土地利用影响地表CO
2
浓度异质性特征的动力学机制[J].地理学报,2022,77(4):936-946. DENG X Z, JIANG S J, LI X, et al. Dynamics of regional land uses affecting spatial heterogeneity of surface CO
2
concentration[J].Journal of Geography,2022,77(4):936-946.
ZHU G F, QIU D D, ZHANG Z X, et al. Land-use changes lead to a decrease in carbon storage in arid region, China[J].Ecological Indicators,2021,127:e107770.
陈美景,王庆日,白中科,等.碳中和愿景下"三生空间"转型及其碳储量效应:以贵州省为例[J].中国土地科学,2021,35(11):101-111. CHEN M J, WANG Q R, BAI Z K, et al. Transition of "production-living-ecological" space and its carbon storage effect under the vision of carbon neutralization: A case study of Guizhou Province[J].China Land Science,2021,35(11):101-111.
王天福,龚直文,邓元杰.基于土地利用变化的陕西省植被碳汇提质增效优先区识别[J].自然资源学报, 2022,37(5):1214-1232. WANG T F, GONG Z W, DENG Y J. Identification of priority areas for improving quality and efficiency of vegetation carbon sinks in Shaanxi Province based on land use change[J].Journal of Natural Resources,2022,37(5):1214-1232.
邵壮,陈然,赵晶,等.基于FLUS与InVEST模型的北京市生态系统碳储量时空演变与预测[J].生态学报,2022,42(23):1-14. SHAO Z, CHEN R, ZHAO J, et al. Spatio-temporal evolution and prediction of carbon storage in Beijing's ecosystem based on FLUS and InVEST models[J].Journal of Ecology,2022,42(23):1-14.
ANESENYEE A B, SOROMESSA T, ELIAS E, et al. Expressing carbon storage in economic terms: The case of the upper Omo Gibe basin in Ethiopia[J].Science of the Total Environment,2022,808:e152166.
ENYAN Z, DENG J S, ZHOU M M, et al. Carbon emissions induced by land-use and land-cover change from 1970 to 2010 in Zhejiang, China[J].Science of the Total Environment,2019,646:930-939.
李晨欣,陈松林,李晶,等.基于"三生"空间的土地利用冲突时空演变特征研究:以厦门、漳州和泉州城市群为例[J].水土保持通报,2022,42(3):247-254,262. LI C X, CHEN S L, LI J, et al. Evolution of spatio-temporal characteristics of land use conflict based on productional-living-ecological space: A case study at Xiamen-Zhangzhou-Quanzhou urban agglomeration[J].Water and Soil Conservation Bulletin,2022,42(3):247-254,262.
古圳威,刘京,陈怡,等.陕西渭北旱塬区生境质量及碳储量时空演变分析与模拟[J].环境科学,2022,44(8):4666-4678. GU Z W, LIU J, CHEN Y, et al. Analysis and simulation of the spatiotemporal evolution of habitat quality and carbon storage in the Weibei dry plateau region of Shaanxi[J].Environmental Science,2022,44(8):4666-4678.
王文俊.福建省土壤有机碳储量估算、时空分布特征及其影响因素[J].现代地质,2019,33(6):1295-1305. WANG W J. Reserve estimation,spatiotemporal distribution and its influencing factors of soil organic carbon in Fujian Province,China[J].Modern Geology,2019,33(6):1295-1305.
李妙宇,上官周平,邓蕾.黄土高原地区生态系统碳储量空间分布及其影响因素[J].生态学报,2021,41(17):6786-6799. LI M Y, SHANGGUAN Z P, DENG L. Spatial distribution of carbon storages in the terrestrial ecosystems and its influencing factors on the Loess Plateau[J].Journal of Ecology,2021,41(17):6786-6799.
张春华,居为民,王登杰,等.2004—2013年山东省森林碳储量及其碳汇经济价值[J].生态学报,2018,38(5):1739-1749. ZHANG C H, JU W M, WANG D J, et al. Biomass carbon stocks and economic value dynamics of forests in Shandong Province from 2004 to 2013[J].Journal of Ecology,2018,38(5):1739-1749.
刘洋,张军,周冬梅,等.基于InVEST模型的疏勒河流域碳储量时空变化研究[J].生态学报,2021,41(10):4052-4065. LIU Y, ZHANG J, ZHOU D M, et al. Temporal and spatial variation of carbon storage in the Shule River Basin based on InVEST model[J].Journal of Ecology,2021,41(10):4052-4065.
张燕,师学义,唐倩.不同土地利用情景下汾河上游地区碳储量评估[J].生态学报,2021,41(1):360-373. ZHANG Y, SHI X Y, TANG Q. Carbon storage assessment in the upper reaches of the Fenhe River under different land use scenarios[J].Journal of Ecology,2021,41(1):360-373.
胡莹洁,李月,孔祥斌,等.1980—2010年北京市农用地碳储量对土地利用变化的响应[J].生态学报,2018,38(13):4625-4636. HU Y J, LI Y, KONG X B, et al. Response of agricultural land carbon storage to land use change in Beijing from 1980 to 2010[J].Journal of Ecology,2018,38(13):4625-4636.
陈理庭,蔡海生,张婷,等.基于Markov-flus模型的饶河流域土地利用多情景模拟分析[J].生态学报,2022,42(10):3947-3958. CHEN L T, CAI H S, ZHANG T, et al. Land use multi-scenario simulation analysis of Rao River Basin based on Markov-flus model[J].Journal of Ecology,2022,42(10):3947-3958.
林彤,杨木壮,吴大放,等.基于InVEST-plus模型的碳储量空间关联性及预测:以广东省为例[J].中国环境科学,2022,42(10):4827-4839. LIN T, YANG M Z, WU D F, et al. Spatial correlation and prediction of land use carbon storage based on the InVEST-plus model: A case study in Guangdong Province[J].China Environmental Science,2022,42(10):4827-4839.
蒋小芳,段翰晨,廖杰,等.基于PLUS-sd耦合模型的黑河流域中游甘临高地区土地利用研究[J].干旱区研究,2022,39(4):1246-1258. JIANG X F, DUAN H C, LIAO J, et al. Land use in the Gan-Lin-Gao region of middle reaches of Heihe River Basin based on a PLUS-sd coupling model[J].Arid Zone Research,2022,39(4):1246-1258.
王超越,郭先华,郭莉,等.基于FLUS-In VEST的西北地区土地利用变化及其对碳储量的影响:以呼包鄂榆城市群为例[J].生态环境学报,2022,31(8):1667-1679. WANG C Y, GUO X H, GUO L, et al. Land use change and its impact on carbon storage in northwest China, based on FLUS-Invest: A case study of Hu-Bao-Er-Yu urban agglomeration[J].Journal of Ecology and Environment,2022,31(8):1667-1679.
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. ZHU W B, ZHANG J J, CUI Y P, et al. Assessment of territorial ecosystem carbon storage based on land use change scenario: A case study in Qihe River Basin[J].Journal of Geography,2019,74(3):446-459.
ZHU L Y, SONG R X, SUN S, et al. Land use/land cover change and its impact on ecosystem carbon storage in coastal areas of China from 1980 to 2050[J].Ecological Indicators,2022,142(10):e109178.
陈宁,辛存林,唐道斌,等.中国西北地区多情景土地利用优化与碳储量评估[J].环境科学,2023,44(8):4655-4665. CHEN N, XIN C L, TANG D B, et al. Multi-scenario land use optimization and carbon storage assessment in northwest China[J].Environmental Science,2023,44(8):4655-4665.
杨潋威,赵娟,朱家田,等.基于PLUS和In VEST模型的西安市生态系统碳储量时空变化与预测[J].自然资源遥感,2022,34(4):175-182. YANG L W, ZHAO J, ZHU J T, et al. Spatial and temporal variation and prediction of ecosystem carbon storage in Xi'an based on PLUS and InVEST model[J].Remote Sensing of Natural Resources, 2022,34(4):175-182.
雒舒琪,胡晓萌,孙媛,等.耦合PLUS-In VEST模型的多情景土地利用变化及其对碳储量影响研究[J].中国生态农业学报(中英文),2023,31(2):300-314. LUO S Q, HU X M, SUN Y, et al. Multi-scenario land use change and its impact on carbon storage based on coupled Plus-Invest model[J].Chinese Journal of Ecological Agriculture (Chinese and English), 2023,31(2):300-314.
徐丽,何念鹏,于贵瑞.2010s中国陆地生态系统碳密度数据集[J].中国科学数据(中英文网络版),2019,4(1):90-96. XU L, HE N P, YU G R. A dataset of carbon density in Chinese terrestrial ecosystems (2010s)[J].Chinese Science Data (Chinese and English online version),2019,4(1):90-96.
LIANG X, GUAN Q, CLARKE K C, et al. Understanding the drivers of sustainable land expansion using a patch-generating land use simulation (plus) model: A case study in Wuhan, China[J].Computers, Environment and Urban Systems,2021,85:e101569.
隋玉正,孙大鹏,李淑娟,等.碳储存变化背景下东营市海岸带生态系统保护修复[J].生态学报,2021,41(20):8112-8123. SUI Y Z, SUN D P, LI S J, et al. Study of coastal zone ecosystem restoration in the context of carbon storage change: A case of Dongying City[J].Acta Ecologica Science,2021,41(20):8112-8123.
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