Abstract
Remote sensingmonitoring of regional ecological quality has advanced significantly with the rapid developments of remote sensing technology. At present, remote sensing ecological index (RSEI) has been widely used in ecological status monitoring. However, RSEI was proposed for urban environments, and the rationality and accuracy of its applicability to desert-dominated arid region ecosystems need to be demonstrated. Therefore, in this study, we incorporated desertification monitoring index (DMI) and salinity monitoring index (SMI) to RSEI and developed the modified remote sensing ecological index (MRSEI) for arid regions. Moreover, we analyzed the stability of MRSEI in ecological status monitoring for arid regions. The MRSEI was then used to evaluate the ecological quality of Inner Mongolia from 2000 to 2020 and exploring its causes. The results show that (1) Although the evaluation results of RSEI and MRSEI are more consistent in areas with high ecological status grades, the MRSEI results are more cautious and reliable in extreme conditions (e.g., desertification, salinization) than the RSEI. (2) Approximately 87.66% of ecological quality have improved or remain stable from 2000 to 2020, but the remaining areas (accounting for 12.34% of the whole area) are still under degraded conditions. This demonstrates that although local governments have made some progress in ecological conservation, the areas that are fluctuating or degraded still require protection or management. (3) In Inner Mongolia, the ecological quality which drove by precipitation (P) & temperature (T) accounting for 26.67% of the study area, population density (D) and GDP per capita (G) affected 13.23% of regional ecological quality. Overall, this research is crucial for evaluating spatial and temporal changes in arid region ecology and establishing conservation strategies.
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References
Bai Z, Han L, Jiang X, Liu M, Li L, Liu H, Lu J (2022) Spatiotemporal evolution of desertification based on integrated remote sensing indices in Duolun County, Inner Mongolia. Ecol Inform 70:101750. https://doi.org/10.1016/j.ecoinf.2022.101750
Chen S, Ren H, Liu R, Tao Y, Zheng Y, Liu H (2020) Mapping sandy land using the new sand differential emissivity index from thermal infrared emissivity data. IEEE T Geosci Remote 9:1–15. https://doi.org/10.1109/TGRS.2020.3022772
Chen X, Liu C, Yu X (2022) Urbanization, economic development, and ecological environment: evidence from provincial panel data in China. Sustainability 14(3):1–15. https://doi.org/10.3390/su14031124
Cheng L, Wang Z, Tian S, Liu Y, Sun M, Yang Y (2021) Evaluation of eco-environmental quality in Mentougou District of Beijing based on improved remote sensing ecological index. Chinese J Ecol 40(4):1177–1185. https://doi.org/10.13292/j.1000-4890.202104.021. ((in Chinese))
Cheng J, Wang P, Chen H, Han Y (2022) Geographical exploration of the spatial and temporal evolution of ecological risk and its influencing factors in semi-arid regions. Arid Land Geog 45(5): 1637–1648 (in Chinese)
Firozjaei M, Fathololoumi S, Kiavarz M, Biswas A, Homaee M, Alavipanah S (2021) Land surface ecological status composition index (LSESCI): a novel remote sensing-based technique for modeling land surface ecological status. Ecol Indic 123:107375. https://doi.org/10.1016/j.ecolind.2021.107375
Guo B, Yang F, Han B, Fan Y, Chen S, Yang W, Jiang L (2019a) A model for the rapid monitoring of soil salinization in the yellow river delta using landsat 8 oli imagery based on VI-SI feature space. Remote Sens Lett 10(8):796–805. https://doi.org/10.1080/2150704X.2019.1610981
Guo B, Yang F, Fan Y, Han B, Chen S, Yang W (2019b) Dynamic monitoring of soil salinization in yellow river delta utilizing MSAVI-SI feature space models with landsat images. Environ Earth Sci 78(10):1–10. https://doi.org/10.1007/s12665-019-8319-8
Guo Z, Wei W, Shi P, Zhou L, Wang X, Li Z, Pang S, Xie B (2020) Spatiotemporal changes of land desertification sensitivity in the arid region of Northwest China. Acta Geographica Sinica 75(9):1948–1965. https://doi.org/10.11821/dlxb202009010. ((in Chinese))
Hang X, Luo X, Cao Y, Li Y (2020) Ecological quality assessment and the impact of urbanization based on RSEI model for Nanjing, Jiangsu Province, China. Chinese J Appl Ecol 31(1):219–229. https://doi.org/10.13287/j.1001-9332.202001.030. ((in Chinese))
Huang H, Chen W, Zhang Y, Qiao L, Du Y (2021) Analysis of ecological quality in Lhasa metropolitan area during 1990–2017 based on remote sensing and google earth engine platform. J Geogr Sci 31(2):265–280. https://doi.org/10.1007/s11442-021-1846-8
Jia H, Yan C, Xing X, Xie J, Feng K (2021) Evaluation of ecological environment in the Dulan County based on the modified remote sensing ecological index model. J Desert Res 41(2):181–190. https://doi.org/10.13866/j.azr.2019.06.22. ((in Chinese))
Jiang X, Han L, Bai Z, Liu H (2023) Analysis on the temporal and spatial evolution pattern and trend of desertification sensitivity in Inner Mongolia Autonomous Region. Acta Geographica Sinica 43(01):364–378
Jing Y, Zhang F, He Y, Kung H, Johnson V, Arikena M (2020) Assessment of spatial and temporal variation of ecological environment quality in Ebinur Lake Wetland National Nature Reserve, Xinjiang, China. Ecol Indic 110:105874. https://doi.org/10.1016/j.ecolind.2019.105874
Kim M, Cho K, Kim H, Kim Y (2020) Spatiotemporal fusion of high resolution land surface temperature using thermal sharpened images from regression-based urban indices. ISPRS Ann Photogram Remote Sens Spatial Inform Sci 3:247–254. https://doi.org/10.5194/isprs-annals-V-3-2020-247-2020
Li N, Xu G (2020) Grid analysis of land use based on natural breaks (Jenks) classification. Bull Surv Map 4(106–110):156. https://doi.org/10.13474/j.cnki.11-2246.2020.0121
Li H, Li Y, Song S, Wu G (2022a) Variation of the land surface temperature field in rare-earth ore mining areas based on temperature downscaling. Adv Space Res 69(9):3268–3282. https://doi.org/10.1016/j.asr.2022.02.010
Li Z, Wei W, Zhou L, Guo Z, Xie B, Zhou J (2022b) Spatio-temporal evolution characteristics of terrestrial ecological sensitivity in China. Acta Geographica Sinica 7(1):150–163. https://doi.org/10.5846/stxb201902250347. ((in Chinese))
Li Y (2017) Evaluation of island city’s ecological status based on multiple elements: a case study of Pingtan Comprehensive Experimentation Zone, Fujian Province. Dissertation, Fuzhou University. ((in Chinese))
Lin X, Niu J, Berndtsson R, Yu X, Zhang L, Chen X (2020) NDVI dynamics and its response to climate change and reforestation in Northern China. Remote Sens 12(24):4138. https://doi.org/10.3390/rs12244138
Liu Y, Li Y, Lu Y, Yue H (2019) Remote sensing analysis of desertification in loess Plateau from 2000 to 2016. Remote Sens Inform 34(2):30–35. https://doi.org/10.3969/j.issn.1000-3177.2019.02.005. ((in Chinese))
Liu H, Li X, Mao F, Zhang M, Zhu D, He S, Huang Z, Du H (2021) Spatiotemporal evolution of fractional vegetation cover and its response to climate change based on MODIS data in the subtropical region of China. Remote Sens 13(5):913. https://doi.org/10.3390/rs13050913
Liu X, Zhang X, He Y, Luan H (2020) Monitoring and assessment of ecological change in coastal cities based on RSEI. ISPRS - International Archives of the Photogrammetry. Remote Sens Spatial Informa Sci 461–470. https://doi.org/10.5194/isprs-archives-XLII-3-W10-461-202.
Lobser S, Cohen W (2007) MODIS tasselled cap: land cover characteristics expressed through transformed MODIS data. Int J Remote Sens 28:5079–5101. https://doi.org/10.1080/01431160701253303
Lu J, Zhang X, Ye P, Wu H, Wang T (2020) Remote sensing monitoring of salinization in Hetao irrigation district based on SI -MSAVI feature space. Remote Sens Land Resour 32(1):169–175. https://doi.org/10.6046/gtzyyg.2020.01.23. ((in Chinese))
Lu L, Zhao Y, Dong J (2022) Ecological security evaluation and driving force analysis of three-dimensional ecological footprint in Northwestern China. Acta Ecologica Sinica 42(4):1354–1367. https://doi.org/10.5846/stxb202101110109. ((in Chinese))
Meng L (2005) Remote sensing dynamic monitoring and research of sandy degradation at county level——a case of HengShan in the province of ShanXi. Dissertation, Hohai University. ((in Chinese))
Pariha H, Zan M, Alimjan K (2021) Remote sensing evaluation of ecological environment in Urumqi City and analysis of driving factors. Arid Zone Res 38(5):1484–1496. https://doi.org/10.13866/j.azr.2021.05.31. ((in Chinese))
Sandeep K, Devesh S, Aditya S (2021) Spatio-temporal variation in desert vulnerability using desertification index over the Banas River Basin in Rajasthan, India. Arab J Geosci 14(54):1–13. https://doi.org/10.1007/s12517-020-06417-0
Shan W, Jin X, Meng X, Yang X, Xu Z (2019) Dynamical monitoring of ecological environment quality of land consolidation based on multi-source remote sensing data. Trans Chinese Soc Agric Eng 35(1):234–242. https://doi.org/10.11975/j.issn.1002-6819.2019.01.029. ((in Chinese))
Song Y, Ma M (2011) A statistical analysis of the relationship between climatic factors and the normalized difference vegetation index in China. Int J Remote Sens 32:3947–3965. https://doi.org/10.1080/01431161003801336
Suter G, Norton B, Cormier S (2010) A methodology for inferring the causes of observed impairments in aquatic ecosystems. Environ Toxicol Chem 21:1101–1111. https://doi.org/10.1002/etc.5620210602
Tian L, Qiu S, Peng J, Hu Y, Jia J, Mao Q (2018) Desertification sensitivity evaluation in Inner Mongolia Autonomous Region based on PSR framework. Progress Geogr 37(12):1682–1692. https://doi.org/10.18306/dlkxjz.2018.12.010. ((in Chinese))
Wang F, Mao A, Li H, Jia M (2013) Quality measurement and region different of urbanization in Shandong Province based on the entropy method. Scientia Geographica Sinica 33(11):1323–1329. https://doi.org/10.13249/j.cnki.sgs.2013.11.006. ((in Chinese))
Wang J, Ma J, Xie F, Xu X (2020a) Improment of remote sensing ecological index in arid regions: taking Ulan Buh Desert as an example. J Appl Ecol 31(11):3795–3804. https://doi.org/10.13287/j.1001-9332.202011.011. ((in Chinese))
Wang Z, Peng D, Xu D, Zhang X, Zhang Y (2020b) Assessing the water footprint of afforestation in inner mongolia, China. J Arid Environ 182(4):104257. https://doi.org/10.1016/j.jaridenv.2020.104257
Wang S, Han L, Yang J, Li Y, Zhao Q, Liu Y, Wu H (2021a) An improved method of combining multi-indicator desertification classification. Bull Surv Mapp 4:8–12. https://doi.org/10.13474/j.cnki.11-2246.2021.0102. ((in Chinese))
Wang J, Liu D, Ma J, Cheng Y, Wang L (2021b) Development of a large-scale remote sensing ecological index in arid areas and its application in the aral sea basin. J Arid Land 13(1):40–55. https://doi.org/10.1007/s40333-021-0052-y
Wang Z, Chen T, Zhu D, Plaza A (2022) Rseife: a new remote sensing ecological index for simulating the land surface eco-environment. Available at SSRNhttps://doi.org/10.2139/ssrn.4084684
Wei W, Guo Z, Xie B, Zhou J, Li Z (2019) Spatiotemporal evolution of environment based on integrated remote sensing indexes in arid inland river basin in northwest China. Environ Sci Pollut R 26:13062–13084. https://doi.org/10.1007/s11356-019-04741-x
Wei W, Li Z, Xie B, Zhou J, Guo Z (2020) Spatial distance-based integrated evaluation of environmentally sensitivity for ecological management in northwest China. Ecol Indic 118:106753. https://doi.org/10.1016/j.ecolind.2020.106753
Xin L, Li X, Gong J, Wang H, Dang D, Dou H (2020) Comprehensive grassland degradation monitoring by remote sensing in xilinhot, inner mongolia, China. Sustainability 12:3682. https://doi.org/10.3390/su12093682
Xu H (2008) A new index for delineating built-up land features in satellite imagery. Int J Remote Sens 29:4269–4276. https://doi.org/10.1080/01431160802039957
Xu H (2013) A remote sensing urban ecological index and its application. Acta Ecologica Sinica 33(24):7853–7862. https://doi.org/10.5846/stxb201208301223. ((in Chinese))
Xu H, Wang Y, Guan H, Shi T, Hu X (2019) Remote sensing detecting ecological changes with a remote sensing based ecological index (RSEI) produced time series and change vector analysis. Remote Sens 11:2345. https://doi.org/10.3390/rs11202345
Xu L, Yu G, Zhang W, Tu Z, Tan W (2020) Change features of time-series climate variables from 1962 to 2016 in Inner Mongolia, China. J Arid Land 12(01):58–72. https://doi.org/10.1007/s40333-019-0124-4
Xu J, Zhou L, Dou S, Wei K (2022) Dynamic monitoring and evaluation of ecological environment quality in Dunhuang City considering the characteristies of arid area. Radio Eng 52(9):1602–1608. https://doi.org/10.3969/j.issn.1003-3106.2022.09.014. ((in Chinese))
Yang C, Wang J, Li S, Wang L, Ma C, Pan J, Gao F, Liu G (2017) Land degradation dynamic remote sensing monitoring of Fuxian lake basin. Remote Sen Technol Appl 31(2):388–396. https://doi.org/10.11873/j.issn.1004-0323.2016.2.0388
Yang X, Meng F, Fu P, Zhang Y, Liu Y (2021) Spatiotemporal change and driving factors of the eco-environment quality in the yangtze river basin from 2001 to 2019. Ecolog Indic 131:108214. https://doi.org/10.1016/j.ecolind.2021.108214
Yu X, Zhuo Y, Liu H, Wang Q, Wang L (2020) Degree of desertification based on normalized landscape index of sandy lands in inner mongolia, China. Glob Ecol Conserv 23:e01132. https://doi.org/10.1016/j.gecco.2020.e01132
Yuan B, Fu L, Zou Y, Zhang S, Chen X, Li F, Deng Z, Xie Y (2021) Spatiotemporal change detection of ecological quality and the associated affecting factors in Dongting Lake Basin, based on RSEI. J Clean Prod 302:126995. https://doi.org/10.1016/j.jclepro.2021.126995
Zhang L, Zhai J, Shan L, Yang J (2015) Quality evaluation and land salinization classification application on ALOS image fusion. Scientia Geographica Sinica 17(4):66–74. https://doi.org/10.11820/dlkxjz.1998.04.009. ((in Chinese))
Zhang Y, Wang R, Bai Q (2018) Development and change of soil salinization in Hetao Irrigation Area of Inner Mongolia. J Irrig Eng 37(1):118–122. https://doi.org/10.13522/j.cnki.ggps.20180221
Zhang Y, Wang Q, Wang Z, Yang Y, Li J (2020) Impact of human activities and climate change on the grassland dynamics under different regime policies in the Mongolian plateau. Sci Total Environ 698:134304. https://doi.org/10.1016/j.scitotenv.2019.134304
Zhao Z, Xu D, Zhang X, Lu Z, Zhang X (2020) Assessment of the desertification vulnerability in Inner Mongolia during the period 2000–2015. Res Soild Water Conserv 27(1):168–175. https://doi.org/10.13869/j.cnki.rswc.2020.01.024. ((in Chinese))
Zheng Z, Wu Z, Chen Y, Guo C, Marinello F (2022) Instability of remote sensing based ecological index (RSEI) and its improvement for time series analysis. Sci Total Environ 814:152595. https://doi.org/10.1016/j.scitotenv.2021.152595
Funding
This research was supported by the National Science and Technology Major Project (no. 04-H30G01-9001–20/22); National Natural Science Foundation of China (no. 42171348); Key R&D Plan of Shaanxi Province (no. 2022ZDLSF07-05); and the Fundamental Research Funds for the Central Universities (no. 300102352901).
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Bai Zongfan: conceptualization; methodology; software; validation; investigation; writing—original draft. Han Ling: supervision, project administration, funding acquisition. Liu Huiqun: resources; writing—review and editing. Jiang Xuhai: validation. Li Liangzhi: writing—review and editing.
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Zongfan, B., Ling, H., Huiqun, L. et al. Spatiotemporal change and driving factors of ecological status in Inner Mongolia based on the modified remote sensing ecological index. Environ Sci Pollut Res 30, 52593–52608 (2023). https://doi.org/10.1007/s11356-023-25948-z
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DOI: https://doi.org/10.1007/s11356-023-25948-z