Spatiotemporal Evolution and Driving Factors of Land Use in Tanzania

Zhang Jiaqi; Guan Xiaoke

doi:10.13961/j.cnki.stbctb.2024.03.021

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Spatiotemporal Evolution and Driving Factors of Land Use in Tanzania

- Spatiotemporal Evolution and Driving Factors of Land Use in Tanzania
- Bulletin of Soiland Water Conservation Vol. 44, Issue 3, Pages: 201-211(2024)
- 作者机构：
  
  郑州轻工业大学社会发展研究中心,河南,郑州,450001
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2024.03.021
  CLC： K901
- Published：2024
- 稿件说明：
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Zhang Jiaqi, Guan Xiaoke. Spatiotemporal Evolution and Driving Factors of Land Use in Tanzania[J]. Bulletin of Soiland Water Conservation, 2024, 44(3): 201-211.
DOI：

Zhang Jiaqi, Guan Xiaoke. Spatiotemporal Evolution and Driving Factors of Land Use in Tanzania[J]. Bulletin of Soiland Water Conservation, 2024, 44(3): 201-211. DOI： 10.13961/j.cnki.stbctb.2024.03.021.

摘要

[目的] 探究坦桑尼亚2000—2020年土地利用的时空演变特征及其驱动因素，为坦桑尼亚制定有效土地利用政策和中—坦资源开发利用合作提供参考。[方法] 基于全球30 m空间分辨率地表覆盖数据集，利用多种土地利用指标及标准差椭圆分析、热点分析、地理探测器等GIS空间分析方法，对坦桑尼亚2000—2020年土地利用时空演变及驱动因素进行分析。[结果] ①坦桑尼亚土地利用动态度有所下降，其中桑给巴尔岛屿各省下降程度较大，土地利用多样性和土地利用程度有所提升。 ②耕地、林地、草地、人造地表空间分布均呈现“西北—东南”走向，耕地中心不断南移，南北发展差距逐渐缩小，人造地表空间分布东西差异较大且最为分散。 ③耕地前一时期增加较多且较为集中，主要位于中西部区域，而后增幅降低且较为分散；林地前一时期集中大幅减少，中部、西部和南部区域减少最为明显，后一时期减幅降低；人造地表前一时期增幅较小，主要集中于东部沿海区域，后一时期增速加快。 ④不同土地利用类型变化受自然环境和社会经济因素影响的大小和显著性均有所差别，自然因素对耕地变化的影响大于社会因素，人造地表变化主要受社会经济因素影响。[结论] 坦桑尼亚不同区域的不同土地利用类型演变特征各异，面对耕地开发不足，林地不断减少，人造地表无序扩张等问题，需要因地制宜地制定土地利用开发政策，提升政策的针对性和可行性。

Abstract

[Objective] The spatiotemporal evolution characteristics and driving factors of land use in Tanzania from 2000 to 2020 were analyzed in order to provide a reference for the formulation of effective land use policy and cooperation in resource development and utilization between China and Tanzania. [Methods] Based on the global 30 m spatial resolution land cover dataset

the spatial and temporal evolution and driving factors of land use in Tanzania from 2000 to 2020 were analyzed by using a variety of land use indicators and GIS spatial analysis methods such as standard deviation ellipse analysis

hotspot analysis and geodetector. [Results] ① The land use dynamic degree in Tanzania decreased (with a significant decrease in the provinces of Zanzibar Islands)

while land use diversity and land use degree increased. ② The spatial distribution of cultivated land

forest land

grassland

and artificial surface presented a “northwest-southeast” trend. The center of cultivated land was constantly shifting southward

and the development gap between the north and the south gradually narrowed. The spatial distribution of artificial surface varied greatly from east to west

and was the most dispersed. ③ Cultivated land increased and was more concentrated in the previous period

mainly in the central and western zones

while the growth rate decreased and became more dispersed. The concentration of forest land decreased in the previous period

with the most significant reduction in the central

western

and southern zones

and the decrease rate became less in the later period. The growth rate of artificial surface was relatively small in the previous period

and was mainly concentrated in the eastern coastal area

and the growth rage accelerated in the later period. ④ The degree and significance of the impact of natural environment and socio-economic factors on changes in different land use types varied. Natural factors had a greater impact on changes in cultivated land than social factors

while artificial surface changes were mainly influenced by socio-economic factors. [Conclusion] The evolution characteristics of different land use types in different areas of Tanzania varied. Faced with issues such as insufficient development of cultivated land

continuous reduction of forest land

and disorderly expansion of artificial surface

it will be necessary to formulate land use development policies tailored to local conditions to enhance the pertinence and feasibility of the policies.

关键词

Keywords

references

Uisso A M, Tanrlvermiş H. Driving factors and assessment of changes in the use of arable land in Tanzania [J]. Land Use Policy, 2021,104:105359.

Hurtt G C, Chini L, Sahajpal R, et al. Harmonization of global land use change and management for the period 850—2100 (LUH2) for CMIP6 [J]. Geoscientific Model Development, 2020,13(11):5425-5464.

Winkler K, Fuchs R, Rounsevell M, et al. Global land use changes are four times greater than previously estimated [J]. Nature Communications, 2021,12(1):2501.

Potapov P, Hansen M C, Pickens A, et al. The global 2000—2020 land cover and land use change dataset derived from the landsat archive: First results [J]. Frontiers in Remote Sensing, 2022,3:856903.

Liu Han, Gong Peng, Wang Jie, et al. Production of global daily seamless data cubes and quantification of global land cover change from 1985 to 2020: iMap World 1.0 [J]. Remote Sensing of Environment, 2021,258:112364.

李岩,林安琪,吴浩,等.顾及空间尺度效应的城市土地利用变化精细化模拟[J].地理学报,2022,77(11):2738-2756.Li Yan, Lin Anqi, Wu Hao, et al. Refined simulation of urban land use change with emphasis on spatial scale effect [J]. Acta Geographica Sinica, 2022,77(11):2738-2756.

邱高峯,马波.卢旺达共和国土地利用变化特征及其驱动因子[J].水土保持通报,2022,42(3):263-273.Qiu Gaofeng, Ma Bo. Land use change characteristics and their driving factors in republic of Rwanda [J]. Bulletin of Soil and Water Conservation, 2022,42(3):263-273.

张家旗,陈爽,Damas W.Mapunda.2002—2012年达累斯萨拉姆城市蔓延特征及影响因素[J].中国科学院大学学报,2018,35(5):663-673.Zhang Jiaqi, Chen Shuang, Mapunda D. Characteristics and influence factors of urban sprawl of Dar es Salaam from 2002 to 2012 [J]. Journal of University of Chinese Academy of Sciences, 2018,35(5):663-673.

杨丽萍,张静,贡恩军,等.GEE联合多源数据的西安市土地利用时空格局及驱动力分析[J].农业工程学报,2022,38(2):279-288.Yang Liping, Zhang Jing, Gong Enjun, et al. Analysis of spatio-temporal land-use patterns and the driving forces in Xi’an City using GEE and multi-source data [J]. Transactions of the Chinese Society of Agricultural Engineering, 2022,38(2):279-288.

曹祺文,顾朝林,管卫华.基于土地利用的中国城镇化SD模型与模拟[J].自然资源学报,2021,36(4):1062-1084.Cao Qiwen, Gu Chaolin, Guan Weihua. China’s urbanization SD modelling and simulation based on land use [J]. Journal of Natural Resources, 2021,36(4):1062-1084.

胡烨婷,李天宏.基于SD-CA模型的快速城市化地区土地利用空间格局变化预测[J].北京大学学报(自然科学版),2022,58(2):372-382.Hu Yeting, Li Tianhong. Forecasting spatial pattern of land use change in rapidly urbanized regions based on SD-CA model [J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2022,58(2):372-382.

赵明松,徐少杰,邓良,等.基于CLUE-S模型的煤矿城市土地利用变化模拟[J].农业机械学报,2022,53(5):158-168.Zhao Mingsong, Xu Shaojie, Deng Liang, et al. Simulation of land use change in typical coal mining city based on CLUE-S model [J]. Transactions of the Chinese Society for Agricultural Machinery, 2022,53(5):158-168.

陈万旭,李江风,曾杰,等.中国土地利用变化生态环境效应的空间分异性与形成机理[J].地理研究,2019,38(9):2173-2187.Chen Wanxu, Li Jiangfeng, Zeng Jie, et al. Spatial heterogeneity and formation mechanism of eco-environmental effect of land use change in China [J]. Geographical Research, 2019,38(9):2173-2187.

南生祥,魏伟,刘春芳,等.土地利用变化的生态环境效应及其时空演变特征: 以河西走廊为例[J].应用生态学报,2022,33(11):3055-3064.Nan Shengxiang, Wei Wei, Liu Chunfang, et al. Eco-environmental effects and spatiotemporal evolution characteristics of land use change: A case study of Hexi Corridor, Northwest China [J]. Chinese Journal of Applied Ecology, 2022,33(11):3055-3064.

冯新惠,李艳,余迩,等.环太湖城市群土地利用转型及其生态环境效应[J].长江流域资源与环境,2023,32(6):1238-1253.Feng Xinhui, Li Yan, Yu Er, et al. Land use transition and associated eco-environmental effects in the Taihu Lake city cluster [J]. Resources and Environment in the Yangtze Basin, 2023,32(6):1238-1253.

黄贤金,卢芹莉.世界资源地理研究:中国资源地理学的现状、缺失与机遇[J].地理研究,2016,35(4):607-616.Huang Xianjin, Lu Qinli. World resource geography: The present status, deficiency and opportunity of China’s resource geography [J]. Geographical Research, 2016,35(4):607-616.

秦大河,张国友,宋长青,等.今天的中国为什么比任何时候都需要世界地理学[J].世界地理研究,2020,29(1):1-7.Qin Dahe, Zhang Guoyou, Song Changqing, et al. Why does China today need world geography more than ever [J]. World Regional Studies, 2020,29(1):1-7.

李同昇,黄晓军.新时代国别地理研究的若干思考[J].世界地理研究,2020,29(5):875-882.Li Tongsheng, Huang Xiaojun. Some thoughts on world country geography research in the new era [J]. World Regional Studies, 2020,29(5):875-882.

李安山.中国的非洲研究: 回顾与展望[J].中国非洲学刊,2020,1(1):143-156.Li Anshan. African studies in China: Retrospect and prospect [J]. Journal of China-Africa Studies, 2020,1(1):143-156.

刘鸿武.中国区域国别之学的历史溯源与现实趋向[J].国际观察,2020(5):53-73.Liu Hongwu. The historical background and future development of area studies in China [J]. International Review, 2020(5):53-73.

刘鸿武,邓荣秀.非洲地理研究与中非合作关系的知识支撑[J].非洲研究,2021,17(1):253-267.Liu Hongwu, Deng Rongxiu. Geographical research in Africa and knowledge support for China-Africa cooperation [J]. African Studies, 2021,17(1):253-267.

裴善勤,钱镇.坦桑尼亚[M].2版.北京:社会科学文献出版社,2019.Pei Shanqin, Qian Shen. The United Republic of Tanzania [M]. 2nd ed. Beijing: Social Sciences Academic Press, 2019.

Mwakapeje E R. Use of a one health approach for understanding the epidemiology and management of anthrax outbreaks in the human-livestock-wildlife and environmental health interface areas of Northern Tanzania[D]. Oslo, Akshhusky County:Norwegian University of Life Sciences, 2019.

张家旗,陈爽,高群,等.坦桑尼亚县域与城乡交通通达水平空间格局特征[J].中国科学院大学学报,2019,36(6):766-773.Zhang Jiaqi, Chen Shuang, Gao Qun, et al. Spatial pattern characteristics of traffic accessibility of districts and urban and rural areas in Tanzania [J]. Journal of University of Chinese Academy of Sciences, 2019,36(6):766-773.

杨俊,单灵芝,席建超,等.南四湖湿地土地利用格局演变与生态效应[J].资源科学,2014,36(4):856-864.Yang Jun, Shan Lingzhi, Xi Jianchao, et al. Land use pattern changes and ecological effects in Nansihu wetland [J]. Resources Science, 2014,36(4):856-864.

庄大方,刘纪远.中国土地利用程度的区域分异模型研究[J].自然资源学报,1997,12(2):105-111.Zhuang Dafang, Liu Jiyuan. Study on the model of regional differentiation of land use degree in China [J]. Journal of Natural Resources, 1997,12(2):105-111.

陈万旭,李江风,冉端.长江中游城市群土地利用转型和城镇化之间的空间关系[J].长江流域资源与环境,2019,28(5):1036-1048.Chen Wanxu, Li Jiangfeng, Ran Duan. On the spatial relationship between land use transition and urbanization in the middle Yangtze River urban cluster [J]. Resources and Environment in the Yangtze Basin, 2019,28(5):1036-1048.

张家旗,陈爽,Damas W. Mapunda.坦桑尼亚城市体系演变与空间分布特征[J].世界地理研究,2018,27(1):22-33.Zhang Jiaqi, Chen Shuang, Mapunda D. Evolution and spatial distribution of the urban system in Tanzania [J]. World Regional Studies, 2018,27(1):22-33.

张平平,李艳红,殷浩然,等.中国南北过渡带生态系统碳储量时空变化及动态模拟[J].自然资源学报,2022,37(5):1183-1197.Zhang Pingping, Li Yanhong, Yin Haoran, et al. Spatio-temporal variation and dynamic simulation of ecosystem carbon storage in the north-south transitional zone of China [J]. Journal of Natural Resources, 2022,37(5):1183-1197.

王劲峰,徐成东.地理探测器: 原理与展望[J].地理学报,2017,72(1):116-134.Wang Jinfeng, Xu Chengdong. Geodetector: Principle and prospective [J]. Acta Geographica Sinica, 2017,72(1):116-134.

张家旗,陈爽,Damas W.MAPUNDA.坦桑尼亚人口分布空间格局及演变特征[J].地理科学进展,2017,36(5):610-617.Zhang Jiaqi, Chen Shuang, Mapunda D. Spatial pattern and its evolution of population in Tanzania [J]. Progress in Geography, 2017,36(5):610-617.

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