国家中心城市土地利用变化稳定性和系统性特征--以武汉市为例

杨建新,; Jianxin, YANG; 龚健, None; Gao, Jing; 冶琴,; Gong, Jian; Gao, Jing; Ye, Qin

doi:10.18402/resci.2019.04.08

Cited by 5 publications

(4 citation statements)

References 14 publications

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“…庞大的群体系统，是孕育和支撑森林、草原、水域等各类自然资源的基础 [21] 。不同土体存在许多共性，同时，受气候、地形、母质等要素综合作用，土体间存在相当大的差异，产生了各种各样的土壤类型 [31] 。因此，需要将土体进行分类和分级，以此来区分土体间土壤性质的异同，理解它们间的相互关系；地表覆盖层是人们判定资源特征及类型的基础，是地表资源最直观的体现。人类通过一定的活动，利用和管理地表资源使其满足自身需求，从而形成不同的地表覆盖类型，具体可分为林地、草地、耕地等若干类型。并且随着人类和自然因素长期综合作用，地表覆盖处于不断地动态变化之中 [32] 度，识别黑土地空间分布变化的热点区域 [34] 。黑土地变化度计算公式如下：…”

Section: 引言unclassified

Spatiotemporal evolution and driving factors of black soil cultivated land within the framework of critical zones on the Earth

YAO,

CAO,

CHENG

et al. 2023

资源科学

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Section: 引言unclassified

Spatiotemporal evolution and driving factors of black soil cultivated land within the framework of critical zones on the Earth

YAO,

CAO,

CHENG

et al. 2023

资源科学

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“…域 LUCC 特征。Pontius 等 [20] 借助转移矩阵中各地类的相对比例预测地类间的转换面积，通过比较预测面积与实际面积判定转移过程是受到外界环境的促进或阻碍作用。随后，刘瑞等 [12] 将净变化量、交换变化量、总变化量等变化信息融入该方法以实现更全面地揭示 LUCC 特征。Aldwaik 等 [21] 则考虑了区域土地利用/覆被结构对各地类间转换面积的影响，将可以显著提升地类在研究区的比例的转化过程定义为具有倾向性的土地利用/覆被变化过程，反之则定义为具有抑制性的转化过程。该分析框架在中国地区的应用始于对福建省九龙江流域 LUCC 模式的分析 [22] 。而后，杨建新等 [23] 特征已然成为各界关注的重点问题 [24][25][26] 。兰西城市群作为西部生态脆弱区中城市化重点区，肩负着维护西部生态安全和促进西北内陆开放的双重责任 [27] 。当前，兰西城市群生态保护与社会经济发展的空间竞争较为激烈，土地利用冲突问题日益凸显 [28]…”

Section: 矩阵提出了系列模型指数及方法以更好地反映区unclassified

“…标年度值。社会经济数据源于甘肃发展年鉴及青海统计年鉴 [34,35] 国土地系统变化的一般性规律 [36,37] ，也常出现在其他地区的 LUCC 分析结果中 [23,[38][39][40][41] 发生显著变化 [42] ，具体表现为兰西城市群上游区域冰川积雪加速消融、区域内冻土退化及降水增加，土地利用/覆被的气候响应则体现在研究区湖泊、河流及湿地等水域面积不断扩张，占用周围的未利用地。青藏高原是全球中低纬度现代冰川分布面积最大的地区 [43]…”

Section: 本文所用数据包括土地利用数据、基础地理信unclassified

Characteristics of LUCC patterns of the Lanzhou-Xining urban agglomeration:Based on an intensity analysis framework

Li¹,

Gong²,

Yang³

et al. 2023

资源科学

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Based on the land use transition matrix, a criterion of land use types conversion trend in absolute quantity was established, and a land use/cover change (LUCC) intensity analysis framework was proposed to analyze the tendency and inhibition of the conversion trend between land use types and its impact on the land use/cover structure from the perspectives of absolute and relative intensity. [Methods] The LUCC intensity map was constructed to visually display the key LUCC modes. Taking the Lanzhou-Xining urban agglomeration as an example, this study carried out an empirical analysis.[Results] During 2010-2020, the conversion characteristics of different land use types are not completely the same in the Lanzhou-Xining urban agglomeration. The LUCC intensity map integrated absolute and relative intensity information, which could reflect the regional general patterns of LUCC, such as the tendency of the transition from cropland to construction land and the low intensity of the transition from water to forest. It can also reveal the specific change patterns of the Lanzhou-Xining urban agglomeration that is a key area of urbanization in the ecologically fragile western region of China. It showed a tendency of land transition from unused land to water, grassland to cropland, and construction land to unused land. However, under the influence of the melting of glaciers and snow, permafrost degradation, precipitation enhancement, the acquisition-compensation balancing policy, and the poor management and protection of land consolidation projects, the characteristics of systematic tendency, absolute tendency, and relative tendency can be observed respectively in the changes. Further comparison with the land use transition matrix and land use transition Sankey diagram shows that there is no direct correlation between absolute intensity and relative intensity, and the constructed intensity analysis framework and map are less affected by the proportion of land use types and the overall LUCC intensity of the region, which is more helpful to determine the conversion trend between land use types and its impact on the land use/cover structure.[Conclusion] The framework of intensity analysis proposed in this study is feasible and can provide a scientific support for identifying and analyzing the key patterns and modes of regional LUCC and optimizing land resource management policies.

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“…As a traditional industrial city in China and one of the national central cities planned for construction [44,45], Wuhan ranks among the highest in the country in terms of urbanization and problems related to the urban thermal environment [46,47]. Wuhan needs to face the inevitable challenge of how to best coordinate urban construction and development with environmental protection.…”

Section: Introductionmentioning

confidence: 99%

Seasonal Variations of Daytime Land Surface Temperature and Their Underlying Drivers over Wuhan, China

et al. 2021

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Rapid urbanization greatly alters land surface vegetation cover and heat distribution, leading to the development of the urban heat island (UHI) effect and seriously affecting the healthy development of cities and the comfort of living. As an indicator of urban health and livability, monitoring the distribution of land surface temperature (LST) and discovering its main impacting factors are receiving increasing attention in the effort to develop cities more sustainably. In this study, we analyzed the spatial distribution patterns of LST of the city of Wuhan, China, from 2013 to 2019. We detected hot and cold poles in four seasons through clustering and outlier analysis (based on Anselin local Moran’s I) of LST. Furthermore, we introduced the geographical detector model to quantify the impact of six physical and socio-economic factors, including the digital elevation model (DEM), index-based built-up index (IBI), modified normalized difference water index (MNDWI), normalized difference vegetation index (NDVI), population, and Gross Domestic Product (GDP) on the LST distribution of Wuhan. Finally, to identify the influence of land cover on temperature, the LST of croplands, woodlands, grasslands, and built-up areas was analyzed. The results showed that low temperatures are mainly distributed over water and woodland areas, followed by grasslands; high temperatures are mainly concentrated over built-up areas. The maximum temperature difference between land covers occurs in spring and summer, while this difference can be ignored in winter. MNDWI, IBI, and NDVI are the key driving factors of the thermal values change in Wuhan, especially of their interaction. We found that the temperature of water area and urban green space (woodlands and grasslands) tends to be 5.4 °C and 2.6 °C lower than that of built-up areas. Our research results can contribute to the urban planning and urban greening of Wuhan and promote the healthy and sustainable development of the city.

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国家中心城市土地利用变化稳定性和系统性特征--以武汉市为例

Abstract: Stationary and systematic characteristics of land use and land cover change in the national central cities of China using intensity analysis: A case study of Wuhan City[J]. Resources Science， 2019， 41(4): 701-716.

Cited by 5 publications

References 14 publications

Spatiotemporal evolution and driving factors of black soil cultivated land within the framework of critical zones on the Earth

Spatiotemporal evolution and driving factors of black soil cultivated land within the framework of critical zones on the Earth

Characteristics of LUCC patterns of the Lanzhou-Xining urban agglomeration:Based on an intensity analysis framework

Seasonal Variations of Daytime Land Surface Temperature and Their Underlying Drivers over Wuhan, China

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