Modeling Process of the Spatial-Temporal Changes of Vegetation Cover and its Relationship with Drivers in Drylands and Wetlands in Xianjiang (China)

Seyed Omid Reza Shobairi; Lingxiao Sun; Haiyan Zhang; Chunlan Li; Jing He; Behnam Asghari Beirami; Samira Hemmati Roudbari; Qorghizbek Ayombekov

doi:10.2478/trser-2024-0003

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Modeling Process of the Spatial-Temporal Changes of Vegetation Cover and its Relationship with Drivers in Drylands and Wetlands in Xianjiang (China)

Transylvanian Review of Systematical and Ecological Research

Volume 26 (2024): Issue 1 (April 2024)

By: Seyed Omid Reza Shobairi , Lingxiao Sun , Haiyan Zhang , Chunlan Li , Jing He, Behnam Asghari Beirami , Samira Hemmati Roudbari and Qorghizbek Ayombekov

Open Access

|Aug 2024

Abstract

Findings reveal that the majority of studied areas are classified as bare lands, while the lowest amount is covered by lichens and mosses. Grassland and cropland occupy major areas of the region, with highest normalized difference vegetation index (NDVI) value saw in 2020, showing dense vegetation in the western, northwestern and northern regions. Afforestation efforts shown positive results, with a 4% increase in forested area between 2000 and 2022.

References

Cao K., Gao J., 2022 – Assessment of climatic conditions for tourism in Xinjiang, China, Open Geosciences, 14, 382-392.
Search in Google Scholar Back to article
Duan H., Xue X., Wang T., Kang W., Liao J and Liu, S., 2021 – Spatial and temporal differences in alpine meadow, alpine steppe and all vegetation of the Qinghai-Tibetan Plateau and their responses to climate change, Remote Sensing, 13, 669, DOI: 10.3390/rs13040669.
Search in Google Scholar Back to article
Elsu C. A., Ramesh K. V. and Sridevi H., 2017 – Quantification and understanding the observed changes in land cover patterns in Bangalore, International Journal of Civil Engineering and Technology (IJCIET), 8, 4, 597-603.
Search in Google Scholar Back to article
Gadiga B. L., 2015 – Monitoring the spatio-temporal dynamics of vegetation cover in Mubi Region, Adamawa State, Nigeria, Journal of Geographic Information System, 7, 598-606, DOI: 10.4236/jgis.2015.76048.
Search in Google Scholar Back to article
Gang Y., Zengyun H., Xi C. and Tashpolat T., 2016 – Vegetation dynamics and its response to climate change in Central Asia, Journal of Arid Land, 8, 3, 375-388, DOI: 10.1007/s40333-016-0043-6.
Search in Google Scholar Back to article
Han Z., Wu Q., Lai R, Soomro S., Hou D and Hu C., 2022 – Spatio-temporal variations of vegetation cover and its influence on surface air temperature change over the Yellow River Basin China, Journal of Water and Climate Change, 13, 9, 3239, DOI: 10.2166/wcc.2022.037.
Search in Google Scholar Back to article
He Z., Yue T., Chen Y., Mu W., Xi M. and Qin F., 2023 – Analysis of spatial and temporal changes in vegetation cover and driving forces in the Yan River Basin, Loess Plateau, Remote Sensing, 15, 4240, DOI: 10.3390/rs15174240.
Search in Google Scholar Back to article
Hu Y. and Nacun, B., 2018 – An analysis of land-use change and grassland degradation from a policy perspective in inner Mongolia, 1990-2015, Sustainability, 10, 4048, DPO: 10.3390/su10114048.
Search in Google Scholar Back to article
Hu, Y and Hu, Y., 2019 – Land cover changes and their driving mechanisms in Central Asia from 2001 to 2017 supported by Google Earth Engine, Remote Sensing, 11, 554, DOI: 10.3390/rs11050554.
Search in Google Scholar Back to article
Jiang M., Tian S., Zheng Z., Zhan Q and He, Y., 2017 – Human activity influences on vegetation cover changes in Beijing, China, from 2000 to 2015, Remote Sensing, 9, 271, DOI: 10.3390/rs9030271.
Search in Google Scholar Back to article
Jiapaer G., Liang S., Yi Q. and Liu J., 2015 – Vegetation dynamics and responses to recent climate change in Xinjiang using leaf area index as an indicator, Ecological indicators, 58, 64-76.
Search in Google Scholar Back to article
Karnieli A., Qin Z., Wu B., Panov N and Yan F., 2014 – Spatio-temporal dynamics of land-use and land-cover in the Mu Us Sandy Land, China, Using the change vector analysis technique, Remote Sensing, 6, 9316-9339; DOI: 10.3390/rs6109316.
Search in Google Scholar Back to article
Li M., Yan Q., Li G., Yi M and Li J., 2022 – Spatio-temporal changes of vegetation cover and its influencing factors in northeast China from 2000 to 2021, Remote Sensing, 14, 5720, DOI: 10.3390/rs14225720.
Search in Google Scholar Back to article
Li Z., Deng X., Yin F and Yang C., 2015 – Analysis of climate and land use changes impacts on land degradation in the North China Plain, Hindawi Publishing Corporation Advances in Meteorology, 2015, 976370, 1-11, DOI: 10.1155/2015/976370.
Search in Google Scholar Back to article
Liu Y., Haohong H. H., Meng L., Liu M., Wu Z., Liu T and Labatt D., 2023 – Spatial temporal evolution of vegetation coverage and its relationship with terrain and human factors in the upper reaches of Ganjiang River Basin, China, Frontiers in Earth Science, 10:1043403, DOI: 10.3389/feart.2022.1043403.
Search in Google Scholar Back to article
Liu X., Hong Z., Zhou L., Liu J., Guo X. and Li S., 2022 – Past and future of land use change in the middle reaches of the Yellow River Basin in China, Research Square, DOI: DOI: 10.21203/rs.3.rs-2144585/v1.
Search in Google Scholar Back to article
Liu L. Z. and Xiao J. F., 2006 – Spatial-temporal correlations of NDVI with precipitation and temperature in Yellow river basin, Chinese Journal of Ecology, 25, 5, 477-481. (in Chinese)
Search in Google Scholar Back to article
Lovland T. and Merchant J., 2004 – Ecoregions and ecoregionalization: geographical and ecological perspectives, Environmental Management, 34, 1-13, DOI: 10.1007/s00267-003-5181-x.
Search in Google Scholar Back to article
Luo M., Liu T., Meng F., Duan Y., Bao A., Xing W., Feng X., De Maeyer P. and Frankl A., 2019 – Identifying climate change impacts on water resources in Xinjiang, China, Science of the Total Environment, 676, 613-626.
Search in Google Scholar Back to article
Meng X., Gao X., Li S and Lei J., 2020 – Spatial and temporal characteristics of vegetation NDVI changes and the driving forces in Mongolia during 1982-2015, Remote Sensing, 12, 603, DOI: 10.3390/rs12040603.
Search in Google Scholar Back to article
Miao L., Feng Z., Sun Z., Moore J and Cui X., 2016 – China’s land-use changes during the past 300 years: a historical perspective, International Journal of Environtal Research and Public Health, 13, 847, DOI: 10.3390/ijerph13090847, Posted on Authorea 17 Aug (2020): The copyright holder is the author/funder, All rights reserved, No reuse without permission, DOI: 10.22541/au.159769328.83108985, This a preprint and has not been peer reviewed, Data may be preliminary.
Search in Google Scholar Back to article
Sun R., Liu C. M. and Zhu Q. J., 2001 – Relationship between the fractional vegetation cover change and rainfall in the Yellow River basin, Acta Geografica Sinica, 56, (6), 667-672. (in Chinese)
Search in Google Scholar Back to article
Shan Y., Dai X., Li W., Yang Z., Wang Y., Qu G., Liu W., Ren J., Li C., Liang S. and Zeng B., 2022 – Detecting spatial-temporal changes of urban environment quality by remote sensing-based ecological indices: a case study in Panzhihua City, Sichuan Province, China, Remote Sensing, 14, 4137, DOI: 10.3390/rs14174137.
Search in Google Scholar Back to article
Tahir A. A., Quazi K. H., Sana I., Maleeha B., Hira Jannat B. and Hira J., 2019 – Investigative spatial distribution and modelling of existing and future urban land changes and its impact on urbanization and economy, Remote Sensing, 11, 2, 105.
Search in Google Scholar Back to article
Wang C., Wang J., Naudiyal N., Wu N., Cui X., Wei Y. and Chen Q., 2022 – Multiple effects of topographic factors on spatio-temporal variations of vegetation patterns in the three parallel rivers region, Southeast Tibet, Remote Sensining, 14, 1, 151, DOI: 10.3390/rs14010151.
Search in Google Scholar Back to article
Wang M., Wang Y., Li Z and Zhang H., 2023 – Analysis of spatial-temporal changes and driving factors of vegetation coverage in Jiamusi City, Forests, 14, 1902, DOI: 10.3390/f14091902
Search in Google Scholar Back to article
Xianfeng L., Jinshui Z., Xiufang Z., Pan Yaozhong P., Yanxu L., Donghai Z. and Lin Z. L., 2014 – Spatiotemporal changes in vegetation coverage and its driving factors in the Three-River headwaters region during 2000-2011, Journal of Geographical Sciences, 2014, 24, 2, 288-302. DOI: 10.1007/s11442-014-1088-0.
Search in Google Scholar Back to article
Xianghong D., Xiyong H., Yuandong W. and Li W., 2015 – Spatial-temporal characteristics of land use intensity of coastal zone in China during 2000-2010, China Geographcal Sciences, 25, 1, 51-61, DOI: 10.1007/s11769-014-0707-0.
Search in Google Scholar Back to article
Xuemei Y., Shizeng L., Taibao Y., Xianying X., Caizhou K., Jinnian T., Huaidong W., Ghebrezgabher M. and Zhiqi L., 2016 – Spatial-temporal dynamics of desert vegetation and its responses to climatic variations over the last three decades: a case study of Hexi region in Northwest China, Journal Arid Land, 8, 4, 556-568, DOI: 10.1007/s40333-016-0046.
Search in Google Scholar Back to article
Xiaoa H. and Weng Q., 2007 – The impact of land use and land cover changes on land surface temperature in a karst area of China, Journal of Environmental Management, 85, 245-257, DOI: 10.1016/j.jenvman.2006.07.016.
Search in Google Scholar Back to article
Xue J., Wang Y., Teng H., Wang N., Li D., Peng J., Biswas A. and Shi Z., 2021 – Dynamics of vegetation greenness and its response to climate change in Xinjiang over the past two decades, Remote Sensing, 13, 4063, DOI: 10.3390/rs13204063.
Search in Google Scholar Back to article
Yao B., Ma L., Si H., Li S., Gong X. and Wang X., 2023 – Spatial pattern of changing vegetation dynamics and its driving factors across the Yangtze River basin in chongqing: a geodetector-based study, Land, 12, 269.
Search in Google Scholar Back to article
Yin H., Pflugmacher D., Lib A., Lic Z. and Hostert P., 2018 – Land use and land cover change in Inner Mongolia ‒ understanding the effects of China’s re-vegetation programs, Remote Sensing of Environment, 204, 918-930, DOI: 10.1016/j.rse.2017.08.030.
Search in Google Scholar Back to article
Yu H., Bian Z., Mu S., Yuan J. and Chen F., 2020 – Effects of climate change on land cover change and vegetation dynamics in Xinjiang, China, International Journal of Environmental Research and Public Health, 17, 1-24.
Search in Google Scholar Back to article
Zhang X., She D., Huang X. and Wang G., 2020 – Identifying the effects of land use changes and check dams on sediment yield in a watershed of the Loess Plateau, China, Authorea, 17, DOI: 10.22541/au.159769328.83108985.
Search in Google Scholar Back to article
Zhao H., Li X., Ezizi M. and Yao J., 2022 – Changes in the characteristics of dry-wet periods in Xinjiang, China based on the SPEI index, Atmósfera, 35, 3, 483-496.
Search in Google Scholar Back to article
Zhu Z., Zhang Z ., Zhao X., Zuo L and Wang X., 2022 – Characteristics of land use change in China before and after 2000, Sustainability, 14, 14623, DOI: 10.3390/su142114623.
Search in Google Scholar Back to article
Zhuang Q., Wu S., Feng X. and Niu Y., 2020 – Analysis and prediction of vegetation dynamics under the background of climate change in Xinjiang, China, PeerJ, 8:e8282, DOI: 10.7717/peerj.8282.
Search in Google Scholar Back to article
Zhong B. X., Jiong X. X. and Zheng W. Z., 2008 – Spatiotemporal variations of vegetation cover on the Chinese Loess Plateau (1981-2006): Impacts of climate changes and human activities, Science in China Series D: Earth Sciences, 51, 1, 67-78.
Search in Google Scholar Back to article
* https://www.usgs.gov/special-topics/remote-sensing-phenology/science/ndvi-foundation-remote-sensing-phenology
Search in Google Scholar Back to article
** https://pro.arcgis.com/en/pro-app/latest/tool-reference/spatial-statistics/spatial-autocorrelation.htm#:~:text=When%20the%20z%2Dscore%20or,can%20reject%20the%20null%20hypotheses
Search in Google Scholar Back to article
*** https://earthobservatory.nasa.gov/features/MeasuringVegetation
Search in Google Scholar Back to article

Articles in this issue

DOI: https://doi.org/10.2478/trser-2024-0003 | Journal eISSN: 2344-3219 | Journal ISSN: 1841-7051

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Language: English

Page range: 27 - 74

Published on: Aug 9, 2024

Published by: Lucian Blaga University of Sibiu

In partnership with: Paradigm Publishing Services

Publication frequency: 3 issues per year

Keywords:

vegetation,

NDVI,

drivers,

ecoregions,

spatial distribution,

OLS

Related subjects:

Life sciences,

Ecology

© 2024 Seyed Omid Reza Shobairi, Lingxiao Sun, Haiyan Zhang, Chunlan Li, Jing He, Behnam Asghari Beirami, Samira Hemmati Roudbari, Qorghizbek Ayombekov, published by Lucian Blaga University of Sibiu
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 26 (2024): Issue 1 (April 2024)