Received date: 2021-01-15
Revised date: 2021-04-13
Online published: 2021-09-23
Assessment of natural restoration capacity of vegetation is an important part of ecological restoration practice. This article， based on the MODIS Enhanced Vegetation Index （EVI）， meteorological data and soil data of Mongolia， build the vegetation restoration potential calculation model on the “similar habitat”， calculate the Mongolia vegetation restoration potential value （VRP， representative in the area under the condition of natural vegetation to restore to the best condition） and vegetation restoration potential index （VRPI， on behalf of the vegetation growth status and potential difference between the largest）. And use the sampling analysis data from Mongolian through long-term enclosure along the railway area to verify the research findings. The results showed that ：（1） There is a high vegetation restoration potential in Mongolia， and the natural vegetation restoration potential value is mostly between 0.6 and 0.9. （2） Under the influence of spatial differentiation of natural factors such as precipitation， air temperature and soil， the natural restoration potential of vegetation in Mongolia has great spatial differences. The northern and eastern regions are the regions with high VRP value and low VRPI value. Suggest that the vegetation was slightly degraded and easy to recover. In the southern and western regions， there are middle and low values of VRP and high values of VRPI. The degree of vegetation degradation is severe and the restoration is relatively difficult. The results of this study can provide scientific reference for the restoration of degraded vegetation in Mongolia according to local conditions.
Key words： Mongolia; vegetation restoration potential; similar habitat windows; GWR; GEE
Zhentao Lv , Shengyu Li , Jinglong Fan , Guojun Liu , Haifeng Wang , Xiaoyu Meng . Natural restoration potential of vegetation in Mongolia[J]. Journal of Desert Research, 2021 , 41(5) : 192 -201 . DOI: 10.7522/j.issn.1000-694X.2021.00047
| 1 | Hilker T，Natsagdorj E，Waring R H，et al.Satellite observed widespread decline in Mongolian grasslands largely due to overgrazing［J］.Global Change Biology，2014，20（2）：418-428. |
| 2 | John R，Chen J，Kim Y，et al.Differentiating anthropogenic modification and precipitation-driven change on vegetation productivity on the Mongolian Plateau［J］.Landscape Ecology，2016，31（3）：547-566. |
| 3 | 刘超，刘凤伶.全球荒漠化防治现状及发展趋势研究［J］.城市地理，2015（20）：58. |
| 4 | Meng X，Gao X，Li S，et al.Spatial and Temporal Characteristics of Vegetation NDVI Changes and the Driving Forces in Mongolia during 1982-2015［J］.Remote Sensing，2020，12（4）：603. |
| 5 | 陈英义，李道亮.北方农牧交错带沙尘源植被恢复潜力评价模型研究［J］.农业工程学报，2008（3）：130-134. |
| 6 | 唐樱殷，谢永贵，余刚国，等.黔西北喀斯特退化植被恢复潜力评价［J］.山地学报，2012，30（5）：528-534. |
| 7 | Cao S，Chen L，Shankman D，et al.Excessive reliance on afforestation in China′s arid and semi-arid regions：Lessons in ecological restoration［J］.Earth-Science Reviews，2011，104（4）：240-245. |
| 8 | Adger W N，Hughes T P，Folke C，et al.Social-ecological resilience to coastal disasters［J］.Science，2005，309（5737）：1036-1039. |
| 9 | Berkes F，Seixas C S.Building resilience in lagoon social-ecological systems：a local-level perspective［J］.Ecosystems，2005，8（8）：967-974. |
| 10 | Klein R J T，Smit M J，Goosen H，et al.Resilience and vulnerability：coastal dynamics or Dutch dikes？［J］.Geographical Journal，1998，164（3）：259-268. |
| 11 | Bennett E M，Cumming G S，Peterson G D.A systems model approach to determining resilience surrogates for case studies［J］.Ecosystems，2005，8（8）：945-957. |
| 12 | Laughlin D C.Applying trait-based models to achieve functional targets for theory-driven ecological restoration［J］.Ecology Letters，2014，17（7）：771-784. |
| 13 | Choi Y D.Theories for ecological restoration in changing environment：toward 'futuristic' restoration［J］.Ecological Research，2004，19（1）：75-81. |
| 14 | Jiang J，Gao D，Deangelis D L.Towards a theory of ecotone resilience：Coastal vegetation on a salinity gradient［J］.Theoretical Population Biology，2012，82（1）：29-37. |
| 15 | Bisson M，Fornaciai A，Coli A，et al.The vegetation resilience after fire （VRAF） index：development，implementation and an illustration from central Italy［J］.International Journal of Applied Earth Observation and Geoinformation，2008，10（3）：312-329. |
| 16 | Arianoutsou M，Koukoulas S，Kazanis D.Evaluating post-fire forest resilience using GIS and multi-criteria analysis：an example from Cape Sounion National Park，Greece［J］.Environmental Management，2011，47（3）：384-397. |
| 17 | Wu D，Wu H，Zhao X，et al.Evaluation of spatiotemporal variations of global fractional vegetation cover based on GIMMS NDVI data from 1982 to 2011［J］.Remote Sensing，2014，6（5）：4217-4239. |
| 18 | Riva M J，Daliakopoulos I N，Eckert S，et al.Assessment of land degradation in Mediterranean forests and grazing lands using a landscape unit approach and the normalized difference vegetation index［J］.Applied Geography，2017，86：8-21. |
| 19 | Li L，Bakelants L，Solana C，et al.Dating lava flows of tropical volcanoes by means of spatial modeling of vegetation recovery［J］.Earth Surface Processes and Landforms，2018，43（4）：840-856. |
| 20 | Hilker T，Lyapustin A I，Hall F G，et al.On the measurability of change in Amazon vegetation from MODIS［J］.Remote Sensing of Environment，2015，166：233-242. |
| 21 | Li Y L，Bojie Fu，Alexis J，al et ，Gauging policy-driven large-scale vegetation restoration programmes under a changing environment：their effectiveness and socio-economic relationships［J］.Science of the Total Environment，2017，607/608：911-919. |
| 22 | Tong X，Wang K，Yue Y，et al.Quantifying the effectiveness of ecological restoration projects on long-term vegetation dynamics in the karst regions of Southwest China［J］.International Journal of Applied Earth Observation and Geoinformation，2017，54：105-113. |
| 23 | 高海东，庞国伟，李占斌，等.黄土高原植被恢复潜力研究［J］.地理学报，2017，72（5）：863-874. |
| 24 | Zhang D，Xu X，Yao S，et al. A novel similar habitat potential model based on sliding‐window technique for vegetation restoration potential mapping［J］. Land Degradation & Development， 2019，31（6）：760-772. |
| 25 | Xu X，Zhang D，Zhang Y，et al.Evaluating the vegetation restoration potential achievement of ecological projects： a case study of Yan’an， China［J］.Land Use Policy，2020，90：104290. |
| 26 | 陈芳，刘虎俊，刘淑娟，等.基于MODIS的蒙古国2003-2017年荒漠化动态监测［J］.西北林学院学报，2019，34（5）：167-171. |
| 27 | 彼斯帕洛夫.蒙古人民共和国的土壤［M］.北京：科学出版社，1959. |
| 28 | Qiu B，Zeng C，Tang Z，et al.Characterizing spatiotemporal non-stationarity in vegetation dynamics in China using MODIS EVI dataset［J］.Environmental Monitoring and Assessment，2013，185（11）：9019-9035. |
| 29 | Dutta D，Das P K，Paul S，et al.Assessment of ecological disturbance in the mangrove forest of Sundarbans caused by cyclones using MODIS time-series data （2001-2011）［J］.Natural Hazards，2015，79（2）：775-790. |
| 30 | 李红军，郑力，雷玉平，等.基于EOS/MODIS数据的NDVI与EVI比较研究［J］.地理科学进展，2007（1）：26-32. |
| 31 | Brunsdon C，Fotheringham A S，Charlton M E.Geographically weighted regression：a method for exploring spatial nonstationarity［J］.Geographical Analysis，1996，28（4）：290-298. |
| 32 | Bogdanov Е А，Klimanova О А，Gunin P D.Natural background and anthropogenic drivers of vegetation cover changes in pasture landscape：the case of Central Mongolia［J］.Известия Русского географического общества，2019，151（3）：55-72. |
| 33 | 刘晓宇，周学明.浅析“一带一路”背景下中蒙俄经济走廊的发展［J］.全国流通经济，2020（7）：37-38. |
| 34 | 高莎丽.蒙古国铁路的发展［J］.综合运输，1996（8）：36-38. |
| 35 | Leonid Z V.Hydrochemistry of salt lakes in southeastern transbaikalia （Russia） in the time of arid phase of climate change at the beginning of the XXI Century［Z］.Abstract of the 12th International Conference on Salt Lake Research，2014：3. |
| 36 | 张晓彤，谭衢霖，涂天琦，等.利用MODIS卫星数据对“草原之路”蒙古国地区进行生态承载力评价［J］.测绘与空间地理信息，2019，42（9）：64-67. |
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