王金亮导师团队学术论文在SCIE期刊Geocarto International上线发表

2022年6月21日，以潘继亚（云南师范大学地理学部地图学与地理信息系统专业2019级博士研究生）为第一作者，王金亮教授为通讯作者所撰写的题为“Quantitative estimation and influencing factors of ecosystem soil conservation in Shangri-La, China”的学术论文在SCI/SCIE期刊Geocarto International （2021年12月基础版二区，升级版三区，2021年IF 4.889）上线发表（https://doi.org/10.1080/10106049.2022.2091160）。

        香格里拉是中国生态环境脆弱的地区之一,同时也是滇西北重点生态保护区,土壤保持量的研究对维持该区域生态安全与可持续发展有重要作用。本文利用通用土壤流失方程（USLE）以及地理信息系统（GIS）和遥感（RS）技术，估算香格里拉土壤保持量。研究表明：土壤保持能力受到自然因素和人为因素的强烈影响，自然因素包括降雨强度、土壤性质、坡长及坡度等,人为因素则是对植被覆盖和水土保持的管理能力，研究区土壤保持量是当地特殊的地形、土壤性质、植被覆盖状况和降雨等因素综合影响的结果。研究区土壤保持量在林地、缓坡及以上、高植被覆盖、降水量在500mm至600mm之间、土壤类型为暗棕壤的区域较大。研究为香格里拉合理开发利用土地资源，开展水土保持，实现生态治理提供了一定的依据。

Figure1.Study area

Figure 2. Spatial distribution of the relevant factors in the study area:(a) Land Use and Land Cover;(b) R Factor;(c) Soil Types;(d) K Factor;(e) Slope;(f) LS Factor;(g) C Factor;(h) P Factor.

Figure 3. Spatial distribution of related images of the study area:(a)Soil loss severity class; (b)Soil conservation;(b) Vegetation coverage.

该论文得到了王金亮教授主持的国家重点研发计划政府间国际科技创新合作重点专项：用地理空间技术监测和评估土地利用/土地覆被变化对区域生态安全的影响（2018YFE0184300），国家自然基金项目（41961060）；云南省高校高原山地资源环境遥感监测与评估科技创新团队（IRTSTYN）；云南省教育厅科学研究基金项目（2020J0256）的资助。

这是潘继亚同学读博士研究生以来发表的第二篇SCI/SCIE学术论文（详见录1）、王金亮教授导师团队2022年的发表第七篇SCI/SCIE论文（详见录2），让我们恭喜潘继亚同学！希望她他再接再厉！也热烈祝贺团队取好成绩！

论文相关信息

标题：Quantitative estimation and influencing factors of ecosystem soil conservation in Shangri-La, China

作者：Jiya Pan ^a,b,c , Jinliang Wang ^a,b,c,*, Fan Gao ^d ,and Guangjie Liu ^e

通讯作者：Jinliang Wang

作者单位：

^a Faculty of Geography, Yunnan Normal University, Kunming 650500, China;

^b Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan, Kunming 650500, China;

^c Center for Geospatial Information Engineering and Technology of Yunnan Province, Kunming 650500, China;

^d Yunnan Minzu University, Kunming 650500, China;

^e College of Resources and Environment ,Yunnan Agricultural University, Kunming 650201, China;

出版物：Geocarto International

摘要：Shangri-La is one of the regions with fragile ecological environment in China. It is also a key ecological protection area in northwestern Yunnan. Evaluation of soil conservation capability plays an important role in maintaining the ecosystem safety and sustainable development of the area. This study uses remote sensing image data, meteorological data , soil types data and DEM(Digital Elevation Model) to estimate the soil conservation capacity in different land use types, different grades of slopes, different vegetation coverage, different precipitation, and different soil types through the USLE (Universal Soil Loss Equation).The result shows that soil conservation capacity is the comprehensive influence of factors such as topography, soil types, vegetation coverage and precipitation condition, and the areas with forest, gentle slopes and above gentle slope, high vegetation coverage, precipitation of 500mm to 600mm, and dark brown soil, where the quantity of soil conservation is relatively large. It provides a basis for Shangri-La to carry out water and soil conservation, and to achieve ecological governance.

关键词：soil conservation, soil erosion, USLE, remote sensing, Northwest Yunnan

附录1 潘继亚同学博士期间发表SCI论文清单

自2019年9月攻读博士至今，潘继亚在王金亮教授指导下共发表了2篇SCI学术论文，具体信息如下：

[2] Jiya Pan, Jinliang Wang*, Fan Gao , and Guangjie Liu. Quantitative estimation and influencing factors of ecosystem soil conservation in Shangri-La, China[J]. Geocarto International, 2022.

DOI: https://doi.org/10.1080/10106049.2022.2091160. (2021年12月基础版二区，升级版三区，2021年IF 4.889)

[1] Pan, J. Y.， Wang, J. L. *，Liu, G. J. ，Gao, F. Estimation of ecological asset values in Shangri_la based on remotely sensed data [J]. Applied ecology and environmental research, 2022, 20(4):2879-2895.

DOI: http://dx.doi.org/10.15666/aeer/2004_28792895. (SCIE 四区，2020-2021最新IF: 0.711) 

附录2 王金亮团队2022年1月至今发表论文清单

[9] Jiya Pan, Jinliang Wang*, Fan Gao, and Guangjie Liu. Quantitative estimation and influencing factors of ecosystem soil conservation in Shangri-La, China[J]. Geocarto International, 2022.

 DOI: https://doi.org/10.1080/10106049.2022.2091160. (2021年12月基础版二区，升级版三区，2021年IF 4.889), 2022.

[8] Jianpeng Zhang, Jinliang Wang*, Feng Cheng, Weifeng Ma, Qianwei Liu, Guangjie Liu. Natural forest ALS-TLS point cloud data registration without control points[J]. Journal of Forestry Research, 2022, Online.

DOI：https://doi.org/10.1007/s11676-022-01499-w. （SCIE，二区，2021年IF 2.149）

[7] Pan, J. Y. ,Wang, J. L.^*, Liu, G. J. ,Gao, F. Estimation of ecological asset values in Shangri_la based on remotely sensed data [J]. Applied ecology and environmental research, 2022, 20(4):2879-2895.

DOI: http://dx.doi.org/10.15666/aeer/2004_28792895 . (SCIE 四，2020-2021最新IF: 0.711)

[6]Jie Li, Suling He, Jinliang Wang*, Weifeng Ma, Hui Ye. Investigating the spatiotemporal changes and driving factors of nighttime light patterns in RCEP Countries based on remote sensed satellite images [J]. Journal of Cleaner Production, 2022, 131944.

DOI: https://doi.org/10.1016 /j.jclepro.2022.131944. (SCIE，一区，Top，2020-2021最新IF: 9.297)

[5]潘继亚, 王金亮, 高帆. 滇西北高山峡谷典型区土地利用变化与生态安全评价研究[J]. 生态科学, 2022, 41(2): 29–40. (北大核心, CSCD扩展库)

[4] Jie Li, Jinliang Wang*, Jun Zhang, Chenli Liu, Suling He, Lanfang Liu. Growing-season vegetation coverage patterns and driving factors in the China-Myanmar Economic Corridor based on Google Earth Engine and geographic detector [J]. Ecological Indicators, 2022, 136, 108620.

DOI: https://doi.org/10.1016/j.ecolind.2022.108620.  (SCIE，二区，2020-2021最新IF: 4.958)

[3]农兰萍,王金亮,玉院和.基于地理加权回归模型和不同植被特征参数的TRMM 3B43降尺度研究——以云南省为例[J].兰州大学学报(自然科学版), 2022, 58(01): 99-110+117. 

DOI:10.13885/j.issn.0455-2059.2022.01.011.  ( CSCD核心库) 

[2] Jianpeng Zhang, Jinliang Wang*, Pinliang Dong, Weifeng Ma, Yicheng Liu, Qianwei Liu, Zhiyan Zhang. Tree stem extraction from TLS point-cloud data of natural forests based on geometric features and DBSCAN[J]. Geocarto International, Published online: 08 Feb 2022.

DOI: 10.1080/10106049.2022.2034988  (2021年12月基础版二区，升级版三区，2021年IF 4.889)

[1] Yuanhe Yu, Xingqi Sun, Jinliang Wang*, Jianpeng Zhang. Using InVEST to evaluate water yield services in Shangri-La, Northwestern Yunnan, China[J]. Peer J, 2022, online.

DOI: https://doi.org/10.7717/peerj.12804  (SCIE，三区，2020-2021年IF: 2.984)

（供稿：云南省高校资源与环境遥感重点实验室）