Three Decades of Oasis Transition and Its Driving Factors in Turpan–Hami Basin in Xinjiang, China: A Complex Network Approach

As a predominant ecosystem-providing area and distinctive landscape in arid regions, an oasis plays an important role in maintaining land stability, human production, and daily activities. Studying the dynamics of oasis and its driving factors is vital to supporting arid regions’ sustainable development. As a typical mountain–desert–oasis landscape, the Turpan–Hami (Tuha) Basin, located in Xinjiang, China, includes complex interactions among different land types. For this study, we revealed the spatio-temporal patterns and transition processes of the oasis using a complex network method between 1990 and 2020 in the Tuha Basin. In the oasis transition network, the degree value, betweenness centrality, and average path length were calculated to express the transition relationship, key oasis type, and oasis structural stability, respectively. Six factors related to climate change and human actives were selected to investigate the driving forces behind oasis transitions, including the average temperature and precipitation in the growing season, the total power of agricultural machinery (TAMP), the production of raw coal (PRC), the total output value of the plantation industry (TPI), and the population (Pop). Our results show that the oasis area of the Tuha Basin, including the natural oasis and artificial oasis, all grew from 1990 to 2020, with the natural oasis expanding more than the artificial oasis. The transitions between oasis types became more frequent as the area of oasis land types increased throughout the study period. Grassland acted as the most important oasis type in the network, with the highest betweenness centrality, but its importance declined due to the increasing complexity of the oasis transition network from 1990 to 2020. The transitions between oasis types became simpler, and the oasis structural stability decreased. Through driving force analysis, the oasis changes showed a positive correlation with the temperature (p-value < 0.05, r = 0.88), and urbanization and industrialization factors prompted transitions to built-up areas and cropland from grassland and shrubland. In summary, our results suggest that to create a harmonious symbiotic relationship between the natural environment in dryland and human activities, preventing grassland degradation and excessive reclamation of land cover is an available way. Meanwhile, the protection of shrubland and water resources is also important. This study provided reference and theory support for promoting the sustainable development of oases.

[1]  Junjiao Tian,et al.  Spatiotemporal variations of eco-environmental vulnerability in Shiyang River Basin, China , 2024, Ecological Indicators.

[2]  Lan-jiao Wen,et al.  How does China’s rural collective commercialized land market run? New evidence from 26 pilot areas, China , 2024, Land Use Policy.

[3]  Yu Ren,et al.  Regional Accuracy Assessment of 30-Meter GLC_FCS30, GlobeLand30, and CLCD Products: A Case Study in Xinjiang Area , 2023, Remote Sensing.

[4]  Wen Hai,et al.  Spatiotemporal evolution law and driving mechanism of production–living–ecological space from 2000 to 2020 in Xinjiang, China , 2023, Ecological Indicators.

[5]  Jiamin Liu,et al.  Simulation of the Ecological Service Value and Ecological Compensation in Arid Area: A Case Study of Ecologically Vulnerable Oasis , 2023, Remote. Sens..

[6]  Xinchen Gu,et al.  Analysis of Spatio-Temporal Pattern Changes and Driving Forces of Xinjiang Plain Oases Based on Geodetector , 2023, Land.

[7]  Lei Wang,et al.  Estimation and Spatiotemporal Evolution Analysis of Actual Evapotranspiration in Turpan and Hami Cities Based on Multi-Source Data , 2023, Remote. Sens..

[8]  Zhongjing Wang,et al.  Ecological vulnerability assessment of natural oasis in arid Areas: Application to Dunhuang, China , 2023, Ecological Indicators.

[9]  Jian-xia Chang,et al.  Analysis of oasis land ecological security and influencing factors in arid areas , 2023, Land Degradation &amp; Development.

[10]  Yan-xu Liu,et al.  Water Availability in China's Oases Decreased Between 1987 and 2017 , 2023, Earth's Future.

[11]  M. Biao,et al.  Vulnerability analysis of land ecosystem considering ecological cost and value: A complex network approach , 2023, Ecological Indicators.

[12]  Zhongjing Wang,et al.  Changes in Land Use and Ecosystem Service Values of Dunhuang Oasis from 1990 to 2030 , 2023, Remote. Sens..

[13]  C.Y. Jim,et al.  Analysis of Urban Expansion and Human–Land Coordination of Oasis Town Groups in the Core Area of Silk Road Economic Belt, China , 2023, Land.

[14]  Xiang Yu,et al.  An over review of desertification in Xinjiang, Northwest China , 2022, Journal of Arid Land.

[15]  Liyuan Zhang,et al.  Estimating soil salinity under sunflower cover in the Hetao Irrigation District based on unmanned aerial vehicle remote sensing , 2022, Land Degradation &amp; Development.

[16]  C.Y. Jim,et al.  Spatio-temporal evolution of landscape patterns in an oasis city , 2022, Environmental Science and Pollution Research.

[17]  Jun Hu,et al.  A Strategy for Variable-Scale InSAR Deformation Monitoring in a Wide Area: A Case Study in the Turpan-Hami Basin, China , 2022, Remote. Sens..

[18]  Zhen Lin,et al.  The Evolution of Desertification Control and Restoration Technology in Typical Ecologically Vulnerable Regions , 2022, Journal of Resources and Ecology.

[19]  C.Y. Jim,et al.  Spatio-temporal variations and drivers of ecological carrying capacity in a typical mountain-oasis-desert area, Xinjiang, China , 2022, Ecological Engineering.

[20]  P. Luo,et al.  Oxidative potential of size-segregated particulate matter in the dust-storm impacted Hotan, northwest China , 2022, Atmospheric Environment.

[21]  Qingyu Guan,et al.  Spatial Differentiation and Driving Mechanisms in Ecosystem Service Value of Arid Region:A case study in the middle and lower reaches of Shule River Basin, NW China , 2021 .

[22]  Zhenhua Wang,et al.  Experiences and challenges of agricultural development in an artificial oasis: A review , 2021 .

[23]  Aldo Ramirez-Arellano,et al.  Two-parameter fractional Tsallis information dimensions of complex networks , 2021 .

[24]  C. Körner,et al.  Mountain definitions and their consequences , 2021, Alpine Botany.

[25]  Mi-Hye Yang,et al.  The analytical indicators to explain the distribution of oases in arid zones using the Oases Integrated Analysis Model , 2021 .

[26]  Fei Zhang,et al.  Spatio-temporal variation of oasis landscape pattern in arid area: Human or natural driving? , 2021 .

[27]  Hongqi Zhang,et al.  Complex network and redundancy analysis of spatial–temporal dynamic changes and driving forces behind changes in oases within the Tarim Basin in northwestern China , 2021 .

[28]  Dingyang Zhou,et al.  How much will farmers be compensated for water reallocation from agricultural water to the local ecological sector on the edge of an oasis in the Heihe River Basin? , 2021 .

[29]  Qingyu Guan,et al.  Evolution of NDVI secular trends and responses to climate change: A perspective from nonlinearity and nonstationarity characteristics , 2021 .

[30]  Jingfeng Huang,et al.  Fractional monitoring of desert vegetation degradation, recovery, and greening using optimized multi-endmembers spectral mixture analysis in a dryland basin of Northwest China , 2021 .

[31]  Qingyu Guan,et al.  The response and simulation of ecosystem services value to land use/land cover in an oasis, Northwest China , 2020 .

[32]  Jinman Wang,et al.  Dynamic changes in landscape pattern in a large-scale opencast coal mine area from 1986 to 2015: A complex network approach , 2020 .

[33]  Q. Bie,et al.  The constraints and driving forces of oasis development in arid region: a case study of the Hexi Corridor in northwest China , 2020, Scientific Reports.

[34]  Shan Guo,et al.  Virtual built-up land transfers embodied in China’s interregional trade , 2020 .

[35]  P. Shi,et al.  Desertification Control Practices in China , 2020, Sustainability.

[36]  Xi Chen,et al.  Groundwater Depletion Estimated from GRACE: A Challenge of Sustainable Development in an Arid Region of Central Asia , 2019, Remote. Sens..

[37]  Yi Liu,et al.  Oasification: An unable evasive process in fighting against desertification for the sustainable development of arid and semiarid regions of China , 2019, CATENA.

[38]  Tao Wen,et al.  Measuring the complexity of complex network by Tsallis entropy , 2019, Physica A: Statistical Mechanics and its Applications.

[39]  Jinman Wang,et al.  Temporal and spatial change of land use in a large-scale opencast coal mine area: A complex network approach , 2019, Land Use Policy.

[40]  Bojie Fu,et al.  Spatio-temporal characteristics and driving forces of landscape structure changes in the middle reach of the Heihe River Basin from 1990 to 2015 , 2019, Landscape Ecology.

[41]  R. Lambiotte,et al.  From networks to optimal higher-order models of complex systems , 2019, Nature Physics.

[42]  Bo Li,et al.  Determining the influence factors of soil organic carbon stock in opencast coal-mine dumps based on complex network theory , 2019, CATENA.

[43]  Zubaida Muyibul,et al.  Spatiotemporal changes of land use/cover from 1995 to 2015 in an oasis in the middle reaches of the Keriya River, southern Tarim Basin, Northwest China , 2018, CATENA.

[44]  E. Dai,et al.  Characteristic of tradeoffs between timber production and carbon storage for plantation under harvesting impact: A case study of Huitong National Research Station of Forest Ecosystem , 2018, Journal of Geographical Sciences.

[45]  Bojie Fu,et al.  Determining spatio-temporal variations of ecological water consumption by natural oases for sustainable water resources allocation in a hyper-arid endorheic basin , 2018, Journal of Cleaner Production.

[46]  O. Sporns Graph theory methods: applications in brain networks , 2018, Dialogues in clinical neuroscience.

[47]  F. Landerer,et al.  Emerging trends in global freshwater availability , 2018, Nature.

[48]  Wenhui Kuang,et al.  Examining the influence of the implementation of Major Function-oriented Zones on built-up area expansion in China , 2017, Journal of Geographical Sciences.

[49]  Shilei Zhao,et al.  Spatial and temporal changes in desertification in the southern region of the Tengger Desert from 1973 to 2009 , 2017, Theoretical and Applied Climatology.

[50]  W. Jetz,et al.  A global inventory of mountains for bio-geographical applications , 2017, Alpine Botany.

[51]  Renbin Xiao,et al.  Analyzing network topological characteristics of eco-industrial parks from the perspective of resilience: A case study , 2017 .

[52]  Xiaojun Wang,et al.  Human Driving Forces of Oasis Expansion in Northwestern China During the Last Decade—A Case Study of the Heihe River Basin , 2017 .

[53]  Hongwei Guo,et al.  Study of suitable oasis scales based on water resource availability in an arid region of China: a case study of Hotan River Basin , 2016, Environmental Earth Sciences.

[54]  Xinlong Feng,et al.  Quantification of Environmental Flow Requirements to Support Ecosystem Services of Oasis Areas: A Case Study in Tarim Basin, Northwest China , 2015 .

[55]  Manchun Li,et al.  Impacts of LUCC on soil properties in the riparian zones of desert oasis with remote sensing data: a case study of the middle Heihe River basin, China. , 2015, The Science of the total environment.

[56]  Peng Sun,et al.  Oasis dynamics change and its influence on landscape pattern on Jinta oasis in arid China from 1963a to 2010a: Integration of multi-source satellite images , 2014, Int. J. Appl. Earth Obs. Geoinformation.

[57]  Geping Luo,et al.  Analysis of land cover change and its driving forces in a desert oasis landscape of Xinjiang, northwest China , 2014 .

[58]  Yi-Feng Yao,et al.  Environmental Reconstruction of Tuyoq in the Fifth Century and Its Bearing on Buddhism in Turpan, Xinjiang, China , 2014, PloS one.

[59]  Yaning Chen,et al.  Soil properties and their spatial pattern in an oasis on the lower reaches of the Tarim River, northwest China , 2010 .

[60]  K. Holmgren,et al.  Highly variable Northern Hemisphere temperatures reconstructed from low- and high-resolution proxy data , 2005, Nature.

[61]  C. Ding Land policy reform in China: assessment and prospects , 2003 .

[62]  Mark E. J. Newman,et al.  The Structure and Function of Complex Networks , 2003, SIAM Rev..

[63]  Xiao Zhang,et al.  GLC_FCS30D: The first global 30-m land-cover dynamic monitoring product with a fine classification system from 1985 to 2022 using dense time-series Landsat imagery and continuous change-detection method , 2023 .

[64]  Yan-xu Liu,et al.  Spatio-temporal patterns of oasis dynamics in China’s drylands between 1987 and 2017 , 2022 .

[65]  Fuqiang Xia,et al.  The Process-Mode-Driving Force of Cropland Expansion in Arid Regions of China Based on the Land Use Remote Sensing Monitoring Data , 2021, Remote. Sens..

[66]  Y. Lü,et al.  Detailed land use transition quantification matters for smart land management in drylands: An in-depth analysis in Northwest China , 2020 .

[67]  Xiangzheng Deng,et al.  Land use/land cover change and statistical modelling of cultivated land change drivers in Nigeria , 2017, Regional Environmental Change.

[68]  V. Squires,et al.  Combating Desertification in Asia, Africa and the Middle East , 2013, Springer Netherlands.

[69]  W. Tao Some Issues on Oasification Study in China , 2010 .

[70]  Xiong Hei-gang Study on Human Driving Mechanisms of the Oasis Land Use Changes in Arid Region , 2007 .