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Historical Changes and Multi-scenario Prediction of Land Use and Terrestrial Ecosystem Carbon Storage in China

Chinese Geographical Science 2024年第3期34卷 487-503页

作者： AN Yue tan xuelan REN Hui LI Yinqi ZHOU Zhou College of Resources Hunan Agricultural UniversityChangsha 410128China School of Geographic Science Hunan Normal UniversityChangsha 410081China

Terrestrial carbon storage(CS)plays a crucial role in achieving carbon balance and mitigating global climate *** study employs the Shared Socioeconomic Pathways and Representative Concentration Pathways(SSPs-RCPs)published by the Intergovernmental Panel on Climate Change(IPCC)and incorporates the Policy Control Scenario(PCS)regulated by China’s land management *** Future Land Use Simulation(FLUS)model is employed to generate a 1 km resolution land use/cover change(LUCC)dataset for China in 2030 and *** on the carbon density dataset of China’s terrestrial ecosystems,the study analyses CS changes and their relationship with land use changes spanning from 1990 to *** findings indicate that the quantitative changes in land use in China from 1990 to 2020 are characterised by a reduction in the area proportion of cropland and grassland,along with an increase in the impervious surface and forest *** changing trend is projected to continue under the PCS from 2020 to *** the SSPs-RCPs scenario,the proportion of cropland and impervious surface predominantly increases,while the proportions of forest and grassland continuously *** loss in China’s carbon storage from 1990 to 2020 amounted to 0.53×10^(12)kg,primarily due to the reduced area of cropland and *** the SSPs-RCPs scenario,more significant carbon loss occurs,reaching a peak of8.07×10^(12)kg in the SSP4-RCP3.4 *** loss is mainly concentrated in the southeastern coastal area and the Beijing-TianjinHebei(BTH)region of China,with urbanisation and deforestation identified as the primary *** the future,it is advisable to enhance the protection of forests and grassland while stabilising cropland areas and improving the intensity of urban *** research findings offer valuable data support for China’s land management policy,land space optimisation,and the achievement of dual-carbon targets.

关键词： land use change Future Land Use Simulation(FLUS)model carbon storage carbon density dataset land use scenario China

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Simulation of urban expansion using geographical similarity transition rules and neighbourhood sizes

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Journal of Geographical Sciences 2024年第7期34卷 1394-1414页

作者： LI Yinqi AN Yue ZHOU Zhou REN Hui tan xuelan College of Resources Hunan Agricultural UniversityChangsha410128China College of Geographical Sciences Hunan Normal UniversityChangsha410081China

Most existing cellular automata(CA)models impose strict requirements on the number and spatial distribution of *** makes it a challenge to capture spatial heterogeneity in urban dynamics and meet the modeling needs of large and complex geographic *** paper presents a CA model based on geographically optimal similarity(GOS)transition rules and similarly sized neighborhoods(SSN).By comparing the similarity in geographical configuration between samples and predicted points,the model enables a comprehensive characterization of the driving mechanism behind urban expansion and its self-organizing *** helps to mitigate the impact of sample selection and assumptions about spatial stationarity on simulation *** performance of GOS-SSN-CA simulation was tested by taking the urban expansion in the Changsha-Zhuzhou-Xiangtan urban agglomeration in China as an *** results show that GOS can derive more accurate and reliable urban transition rules with fewer samples,thereby significantly reducing spatial prediction errors compared with logistic ***,SSN selects different neighborhood sizes to represent the difference between the local self-organizing range and surrounding cells,thus further improving the simulation accuracy and restricting urban expansion ***,GOS-SSN-CA effectively characterizes the geographical similarity of urban expansion,improves simulation accuracy while constraining the urban expansion form,and enhances the practical application value of CA.

关键词： urban growth cellular automata geographic similarity model optimization spatial nonstationarity

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基于LMDI模型的土地利用碳排放时空差异及影响因素研究——以洞庭湖区为例

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地域研究与开发 2024年第1期43卷 160-166页

作者：谭洁刘琴唐晓佩谭雪兰刘沛湖南农业大学风景园林与艺术设计学院长沙410128 湖南农业大学资源学院长沙410128

运用碳排放系数法和对数平均迪氏指数(LMDI)模型,对1996—2020年洞庭湖区土地利用变化、土地利用碳排放时空差异及其影响因素进行分析。结果表明:(1)土地利用变化整体呈现出“三增三减”特征,建设用地和未利用地的变化程度较为显著,水... 详细信息

运用碳排放系数法和对数平均迪氏指数(LMDI)模型,对1996—2020年洞庭湖区土地利用变化、土地利用碳排放时空差异及其影响因素进行分析。结果表明:(1)土地利用变化整体呈现出“三增三减”特征,建设用地和未利用地的变化程度较为显著,水域和草地次之,耕地和林地的变化程度最小。(2)总净碳排放量呈不断上升趋势,碳排放高值区由中部转向西、东、南部,土地利用碳足迹压力指数始终大于1,以0.54的年均增幅不断上升。(3)人均GDP、单位GDP用地面积和单位土地碳排放强度是影响土地利用碳排放的主要因子,人均GDP和单位GDP用地面积分别成为促进和减缓洞庭湖区碳排放量增长的主要因素。

关键词：土地利用碳排放时空演变影响因素 LMDI模型洞庭湖区

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地理学视角下中国农业功能研究进展与展望

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热带地理 2024年第1期44卷 56-67页

作者：谭雪兰李印齐安悦周舟刘悦朱晶晶湖南农业大学资源学院长沙410128

伴随中国城镇化、工业化、市场化的快速推进及乡村振兴战略的深入实施,中国农业发展迈入转型升级的新时期。国内学者高度重视农业发展及农业产业为全社会所提供的服务,地理学者充分发挥学科优势,逐步融合多学科理论与方法针对农业功能... 详细信息

伴随中国城镇化、工业化、市场化的快速推进及乡村振兴战略的深入实施,中国农业发展迈入转型升级的新时期。国内学者高度重视农业发展及农业产业为全社会所提供的服务,地理学者充分发挥学科优势,逐步融合多学科理论与方法针对农业功能的概念内涵、理论基础、分类体系、测度评价、时空过程、影响因素及优化路径等开展了诸多研究。文章通过梳理中国知网平台上近10年核心期刊中关于农业功能的学术论文,选取了151篇高质量文献进行研究,得到以下几点结果:1)地理学者聚焦于农业的生产功能、经济功能、及生态功能等方面研究,更加关注农业功能空间分布、地理特征及其与环境的关系;2)人地关系地域系统理论、农业多功能理论、农业区位理论和农业功能阶段论等是农业功能研究的基础,地理学者正不断完善和丰富农业功能相关理论;3)基于GIS和RS技术以及地理数学模型,地理学者进一步研究了农业功能的空间变化与地域特征;4)地理学者科学诊断了不同地理环境下各因子的作用方式、方向与强度,并针对地区地理环境与影响因子进行功能区划与优化;5)未来地理学视角下的农业功能研究需要进一步完善理论框架体系,推动多要素、多尺度、多目标的体系研究;聚焦农业功能转型,强化多学科、大数据、新技术手段的集成研究。

关键词：地理学农业功能农业可持续发展乡村振兴中国

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Types and Optimization Paths Between Poverty Alleviation Effectiveness and Rural Revitalization:A Case Study of Hunan Province,China

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中国地理科学:英文版 2023年第5期33卷 966-982页

作者： tan xuelan WANG Zhenkai AN Yue WANG Weilin College of Resources Hunan Agricultural UniversityChangsha 410128China

Exploring the synergy types and optimization paths between Poverty Alleviation Effectiveness and Rural Revitalization is necessary for achieving the two centenary *** poverty alleviation counties in Hunan Province,China as an example,our study proposed an indicator to measure the synergistic development between Poverty Alleviation Effectiveness and Rural Revitalization using the multi-index integrated evaluation ***,the coupling types were classified based on both the proposed indicator and regional ***,the corresponding optimization path for each coupling type was proposed to promote the synergistic development of Poverty Alleviation and Rural *** are as follows:1)Lower synergy focused on the southwestern Hunan,while low synergy is widely distributed(such as the west,southwest,northwest,and midland).Moderate synergy is in the midland,such as Huaihua and Chenzhou *** synergy is distributed in Yongzhou,Huaihua,Xiangxi cities,***,only Hecheng City belongs to the higher synergy.2)This paper proposes corresponding development paths for different development characteristics and main problems from multiple perspectives of the protection system,industrial planning,and rural *** consolidate and enhance the effectiveness of Poverty Alleviation and Rural Revitalization to achieve coupled and synergistic development of the two *** research results can provide theoretical support for implementing Poverty Alleviation and Rural Revitalization in Hunan Province,China.

关键词： Poverty Alleviation Effectiveness Rural Revitalization coupling synergy type classification optimization path

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Spatial Differentiation and Influencing Factors of Poverty Alleviation Performance Under the Background of Sustainable Development:A Case Study of Contiguous Destitute Areas in Hunan Province,China

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Chinese Geographical Science 2021年第6期31卷 1029-1044页

作者： tan xuelan YU Hangling AN Yue WANG Zhenkai JIANG Lingxiao REN Hui College of Resources and Environment Hunan Agricultural UniversityChangsha410128China

Poverty eradication is a realistic requirement for the addressing of the urban-rural development *** consolidates the achievements of the poverty alleviation,and accelerates the realization of the United Nations Sustainable Development *** research that deals with poverty,qualitative analysis is often used to study the connection between a single influencing factor and poverty reduction,and to solve regional poverty through government ***,these studies usually ignore the multidimensional nature of poverty,and the fact that poverty alleviation also needs to be approached from multiple *** constructing a theoretical framework of poverty alleviation performance from the perspective of sustainable development,this study selects contiguous poverty-stricken areas in the Hunan Province,China as the empirical study area,constructs an evaluation index system from the three dimensions of economic development,infrastructure and people’s livelihood security,and selects influencing factors from three aspects of‘population’,‘land’and‘industry’.The spatial differentiation characteristics and influencing factors of poverty alleviation performance in poverty-stricken areas were studied by using the methods of entropy weight method and *** results show:firstly,in the concentrated and contiguous poverty-stricken areas of the Hunan Province,the performance of poverty alleviation in the economic development makes little difference,showing a‘high-medium-low’cross-distribution *** poverty alleviation performance of the infrastructure presents a distribution pattern of‘low in the middle and high on both *** poverty alleviation performance of people’s livelihood security has significant spatial differentiation characteristics,which all present a reunion *** overall poverty alleviation performance varies greatly,showing a funnel-shaped distribution in ***,the spatial differentiation of poverty alleviatio

关键词： poverty alleviation performance space differentiation geodetector influencing factors Hunan Province

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Global Water Vapor Content Decreases from 2003 to 2012： An Analysis Based on MODIS Data

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Chinese Geographical Science 2017年第1期27卷 1-7页

作者： MAO Kebiao CHEN Jingming LI Zhaoliang MA Ying SONG Yang tan xuelan Yang Kaixian National Hulunber Grassland Ecosystem Observation and Research Station Institute of Agricultural Resources and Regional Planning Chinese Academy of Agricultural Sciences Beijing 100081 China Department of Geography University of Toronto Toronto M5S 3G3 Canada School of Geographical Sciences Northeast Normal University Changchun 130024 China College of Resources and Environments Hunan Agricultural University Changsha 410128 China Department of Geography University of Cincinnati Cincinnati 45221 USA

Water vapor in the earth′s upper atmosphere plays a crucial role in the radiative balance, hydrological process, and climate change. Based on the latest moderate-resolution imaging spectroradiometer(MODIS) data, this study probes the spatio-temporal variations of global water vapor content in the past decade. It is found that overall the global water vapor content declined from 2003 to 2012(slope b = –0.0149, R = 0.893, P = 0.0005). The decreasing trend over the ocean surface(b = –0.0170, R = 0.908, P = 0.0003) is more explicit than that over terrestrial surface(b = –0.0100, R = 0.782, P = 0.0070), more significant over the Northern Hemisphere(b = –0.0175, R = 0.923, P = 0.0001) than that over the Southern Hemisphere(b = –0.0123, R = 0.826, P = 0.0030). In addition, the analytical results indicate that water vapor content are decreasing obviously between latitude of 36°N and 36°S(b = 0.0224, R = 0.892, P = 0.0005), especially between latitude of 0°N and 36°N(b = 0.0263, R = 0.931, P = 0.0001), while the water vapor concentrations are increasing slightly in the Arctic regions(b = 0.0028, R = 0.612, P = 0.0590). The decreasing and spatial variation of water vapor content regulates the effects of carbon dioxide which is the main reason of the trend in global surface temperatures becoming nearly flat since the late 1990 s. The spatio-temporal variations of water vapor content also affect the growth and spatial distribution of global vegetation which also regulates the global surface temperature change, and the climate change is mainly caused by the earth's orbit position in the solar and galaxy system. A big data model based on gravitational-magmatic change with the solar or the galactic system is proposed to be built for analyzing how the earth's orbit position in the solar and galaxy system affects spatio-temporal variations of global water vapor content, vegetation and temperature at large spatio-temporal scale. This comprehensive examination of water vapor changes p

关键词： MODIS数据水汽含量中分辨率成像光谱仪全球气候变化水蒸气含量时空变化地球轨道海洋表面

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Global vegetation change analysis based on MODIS data in recent twelve years

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High Technology Letters 2016年第4期22卷 343-349页

作者：毛克彪 Li Zhaoliang Chen Jingming Ma Ying Liu Guang tan xuelan Yang Kaixian National Hulunber Grassland Ecosystem Observation and Research Station Institute of Agricultural Resources and Regional PlanningChinese Academy of Agricultural Sciences International Institute for Earth System Science Nanjing University State Key Laboratory of Remote Sensing Science Institute of remote sensing and Digital Earth Research Institute and Beijing Normal University College of Resources and Environments Hunan Agricultural University Department of Geography University of Cincinnati

Vegetation cover change is critical for understanding impacts and responses of vegetation to climate change. A study found that vegetation in the regions between 45°N-70°N was increasing using normalized difference vegetation index( NDVI) from 1981 to 1991 ten years ago. The global vegetation growth has changed because of climate change in recent twelve years( 2001- 2012). After thorough analysis based on satellite data,it is found that it is evident that the global vegetation changed( NDVI) little,and it is increasing slightly in Northern hemisphere while it is decreasing slightly in Southern Hemisphere. For different latitudes,vegetation is increasing 0.17% every year from 60°N to 70 °N( R^2= 0.47,P > 0.013),while the vegetation is decreasing 0.11% every year from 10°N to 10° S( R^2= 0.54,P > 0.004). For different continents,the vegetation in South America is decreasing 0.16% every year( R^2= 0.78,P > 0.0001) and it is increasing 0.05% every year in Asia( R^2= 0.28,P > 0.072) and 0.25% every year in Oceania( R^2= 0.24,P > 0.1). The analysis of global vegetation in different seasons indicates that spatial distribution of global temperature and water vapor will affect the spatial distribution of vegetation,in turn,the spatial distribution of vegetation will also regulate the global temperature and water vapor spatial distribution at large scale. The growth and distribution of vegetation are mainly caused by the orbit of the celestial bodies,and a big data model based on gravitational-magmatic change with the solar or the galactic system as its center is proposed to be built for analyzing how the earth's orbit position in the solar and galaxy system affects spatial-temporal variations of global vegetation and temperature at large scale. These findings promise a holistic understanding of the global climate change and potential underlying mechanisms.

关键词： vegetation global climate change remote sensing

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洞庭湖地区耕地功能时空演变特征及影响因素研究

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地理科学 2022年第7期42卷 1272-1282页

作者：安悦谭雪兰李印齐周舟余航菱任辉湖南农业大学资源环境学院湖南长沙410128

耕地功能时空演变规律及影响因素研究是凸显耕地价值与作用、推动地区协调发展的重要科学依据。综合运用熵值法、地理探测器模型等方法,以湖南省洞庭湖地区24个县市区为研究区域,对该地区耕地功能的时空演变、空间分异及其影响因素进行... 详细信息

耕地功能时空演变规律及影响因素研究是凸显耕地价值与作用、推动地区协调发展的重要科学依据。综合运用熵值法、地理探测器模型等方法,以湖南省洞庭湖地区24个县市区为研究区域,对该地区耕地功能的时空演变、空间分异及其影响因素进行研究。结果表明:①1998—2018年洞庭湖地区耕地经济生产功能整体呈增强趋势,主要集中于洞庭湖地区中部、西南部等农业基础较好的区域;社会保障功能整体增强明显,仅有临澧县、津市市和鼎城区3个地区功能强度有所减弱;生态维护功能空间格局变化较小,整体呈中间高两边低的态势。②自然地理条件是早期影响地区耕地功能的主要因素,随时间推移其影响能力逐渐弱化;社会经济发展到一定阶段,社会经济因素对耕地功能空间分异的影响能力逐渐增强,并凸显出决定性作用;耕地利用水平的不断提升,对耕地功能空间分异影响能力逐渐增强;不同因子之间的交互作用能够明显增强对洞庭湖地区耕地功能空间分异的解释力,共同推动地区耕地功能多元化发展。

关键词：耕地功能功能多元化发展地理探测器洞庭湖地区

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基于村域视角的脱贫成效空间格局及影响机制研究——以湖南省新晃侗族自治县84个出列村为例

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地理研究 2022年第4期41卷 1136-1151页

作者：蒋凌霄安悦谭雪兰余航菱王振凯陈园湖南农业大学资源环境学院长沙410128

贫困与摆脱贫困是中国改革和发展路径选择的起点和动力来源。本研究从经济建设成效、基础与公共服务设施建设成效、生活保障与就业保障成效4个维度构建评价指标体系,对2019年新晃县脱贫成效的空间格局与影响机制进行研究。结果表明:(1) ... 详细信息

贫困与摆脱贫困是中国改革和发展路径选择的起点和动力来源。本研究从经济建设成效、基础与公共服务设施建设成效、生活保障与就业保障成效4个维度构建评价指标体系,对2019年新晃县脱贫成效的空间格局与影响机制进行研究。结果表明:(1) 2019年新晃县出列村经济建设与生活保障脱贫成效指数差异较小,“高、较高、一般成效”区域相间分布,基础与公共服务设施建设、就业保障脱贫成效具有较为明显的空间分异特征。(2)新晃县出列村综合脱贫成效在空间上整体呈现出“东高西低”的格局,且与地形存在较强的相关性特征。(3)新晃县综合脱贫成效主要影响因素为患有大病及长期慢性病的脱贫人数占比、行政村距县城距离、年龄结构、户均收入高于县平均收入户数占比、劳动力状况等。村域发展基础与村域自然要素是影响脱贫成效的基础本底因素,村域人口结构是影响村域脱贫成效空间分异的关键主导因素,而村域发展潜力是巩固脱贫成效的持续推动力。

关键词：脱贫成效空间分异影响机制地理探测器新晃县

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