1. Harbin Center for Integrated Natural Resources Survey, China Geological Survey, Heilongjiang Harbin 150086, China; 2. China University of Geosciences (Beijing), Beijing 100083, China;
Abstract：The Xiaoyangqi district is located in southern Daxing’an Mountains, and belongs to Daxing’an Mountains forest ecological function district, with the high forest coverage and rich wetland resource, which used to be timber production base. In order to master the situation and change of landuse types and evaluate the ecolo-gical environment condition, the authors used the multi-source remote sensing data, the multi-resolution segmentation technology, and decision tree and visual interpretation methods to obtain the area of differen landuse types of 1985, 1998, 2008 and 2018, calculate the Ecological Index (IE) and analyse ecological environmental condition. The results show that the landuse types in the study area are mainly forest, wetland and water bodies, which account for more than 97% of the total area. Swamp meadow was mainly transformed from broad-leaved forest, and agricultural land was mainly transformed from broad-leaved forest and swamp meadow. The grassland was mainly converted into broad-leaved forest and swamp meadow. And the transformation between broad-leaf forest and swamp meadow is the strongest. The new-added human facilities occur on the original broad-leaf forest and swamp meadow areas. In general, ecological condition remains favorable, and plays an important role in ecological security and developing green economy.
[1] 张中秋,劳燕玲,何彩珍,等.土地利用多功能机制及其耦合协调时空分异——以广西为例[J].农业资源与环境学报,2021,38(2):317-331. Zhang Z Q,Lao Y L,He C Z,et al.Mechanism of land use functions and their spatio-temporal differentiation of coupling coordination degree:Taking Guangxi as an example[J].J Agric Resour Environ,2021,38(2):317-331. [2] 李璇琼. 基于RS和GIS的土地利用变化动态监测研究——以都江堰市为例[D].成都:成都理工大学,2010. Li X Q.Research on Dynamic Monitoring of Land Use Change Based on RS and GIS:Take the City of Dujiangyan as example[D].Chengdu:Chengdu University of Technology,2010. [3] 韩会然,杨成凤,宋金平.北京市土地利用变化特征及驱动机制[J].经济地理,2015,35(5):148-154,197. Han H R,Yang C F,Song J P.The spatial-temporal characteristic of land use change in Beijing and its driving mechanism[J].Econ Geogr,2015,35(5):148-154,197. [4] 李倩. 有生态价值的地先留住——访中国土地勘测规划院副总工程师郑伟元[J].中国土地,2008(11):21-23. Li Q.Area with ecological values will be retained first:A visit on Zheng Weiyuan,Chief engineer of China Land Survey and Planning Institute[J].China Land,2008(11):21-23. [5] 岳妍. 大兴安岭森林资源培育措施探讨[J].内蒙古林业,2019(12):22-24. Yue Y.Discussion on cultivation measures of forest resources in Greater Khingan Mountains[J].Inner Mongolia For,2019(12):22-24. [6] 唐仲秋,王之安,刘会锋,等.“十二五”期间松岭林业局森林资源经营情况及存在问题[J].国土与自然资源研究,2019(2):69-71. Tang Z Q,Wang Z A,Liu H F,et al.Forest resources management situation and existing problems of Songling Forestry Bureau during the 12th Five-Year Plan period[J].Territ Nat Resour Study,2019(2):69-71. [7] 徐星,陈建平.基于多时相遥感的北京门头沟土地利用及矿山环境变化[J].地质学刊,2018,42(3):514-519. Xu X,Chen J P.Land use and mine environmental change based on multi-temporal remote sensing in Mentougou,Beijing[J].J Geol,2018,42(3):514-519. [8] 潘灵慧,陈建平.基于遥感数据的内蒙古近三十年植被指数的时空分析[J].地质学刊,2018,42(3):507-513. Pan L H,Chen J P.Spatial-temporal analysis of vegetation index based on remote sensing data during the past three decades in Inner Mongolia[J].J Geol,2018,42(3):507-513. [9] 王华,杨乾鹏,田云杰,等.基于多时相Landsat影像的中亚地区植被覆盖遥感监测[J].干旱区地理,2020,43(4):1023-1032. Wang H,Yang Q P,Tian Y J,et al.Vegetation coverage monitoring in the Central Asian countries using multi-temporal Landsat images[J].Arid Land Geogr,2020,43(4):1023-1032. [10] 赖明,吴淑玉,张海燕,等.基于综合区划的中国西南地区自然资源动态变化特征分析[J].中国地质调查,2021,8(2):83-91. Lai M,Wu S Y,Zhang H Y,et al.Analysis on the characteristics of natural resources dynamic changes in Southwest China based on comprehensive regionalization[J].Geol Surv China,2021,8(2):83-91. [11] 董智,卢松,苏豪.多布库尔河松岭站的河流日径流特征分析与预测模型建立[J].农村实用技术,2019(10):105-106. Dong Z,Lu S,Su H.The analysis and prediction model of daily runoff characteristics of the Songling station in Duobukuer ri-ver[J].Appl Technol Rural Areas,2019(10):105-106. [12] 黑集. 大兴安岭再添生态文化新品牌[J].绿色经纬,2018(15):68-69. Hei J.The Greater Hinggan mountains adds a new brand of ecological culture[J].Green China,2018(15):68-69. [13] 中华人民共和国国家质量监督检验检疫总局,中国国家标准化管理委员会.土地利用现状分类:GB/T 21010—2017[S].北京:中国标准出版社,2017. General Administration of Quality Supervision,Inspection and Quarantine of the People’s Republic of China,Standardization Administration.Current Land Use Classification:GB/T 21010-2017[S].Beijing:Standards Press of China,2017. [14] 李小斌,田铮.基于谱聚类的图像多尺度随机树分割[J].中国科学(E辑):信息科学,2007,37(8):1073-1085. Li X B,Tian Z.Multiscale stochastic hierarchical image segmentation by spectral clustering[J].Sci China Ser F Inf Sci,2007,50(2):198-211. [15] 王露,刘庆元.高分辨率遥感影像多尺度分割中最优尺度选取方法综述[J].测绘与空间地理信息,2015,38(3):166-169. Wang L,Liu Q Y.The methods summary of optimal segmentation scale selection in high-resolution remote sensing images multi-scale segmentation[J].Geomat Spat Inf Technol,2015,38(3):166-169. [16] 费鲜芸,王婷,魏雪丽.基于多尺度分割的遥感影像滨海湿地分类[J].遥感技术与应用,2015,30(2):298-303. Fei X Y,Wang T,Wei X L.Coastal wetland classification based on multi-scale image segmentation using high spatial RS ima-ges[J].Remote Sens Technol Appl,2015,30(2):298-303. [17] 叶润青,牛瑞卿,张良培.基于多尺度分割的岩石图像矿物特征提取及分析[J].吉林大学学报(地球科学版),2011,41(4):1253-1261. Ye R Q,Niu R Q,Zhang L P.Mineral features extraction and analysis based on multiresolution segmentation of petrographic images[J].J Jilin Univ(Earth Sci Ed),2011,41(4):1253-1261. [18] 张正健,李爱农,雷光斌,等.基于多尺度分割和决策树算法的山区遥感影像变化检测方法——以四川攀西地区为例[J].生态学报,2014,34(24):7222-7232. Zhang Z J,Li A N,Lei G B,et al.Change detection of remote sensing images based on multiscale segmentation and decision tree algorithm over mountainous area:A case study in Panxi region,Sichuan Province[J].Acta Ecol Sin,2014,34(24):7222-7232. [19] 中国环境监测总站,环境保护部南京环境科学研究所.生态环境状况评价技术规范:HJ 192—2015[S].北京:中国环境科学出版社,2015. Environmental Monitoring of China,Nanjing Institute of Environmental Sciences.Technical Criterion for Ecosystem status Evaluation:HJ 192-2015[S].Beijing:China Environmental Science Press,2015. [20] 欧阳玲,马会瑶,王宗明,等.基于Landsat影像的赤峰市生态环境状况评估[J].中国环境科学,2020,40(9):4048-4057. Ouyang L,Ma H Y,Wang Z M,et al.Assessment of ecological environment in Chifeng city based on Landsat imagery[J].China Environ Sci,2020,40(9):4048-4057. [21] 陈宇洁,陈志芳,马德高.扬州市2010—2015年生态环境遥感监测研究[J].环境科学与管理,2017,42(9):171-175. Chen Y J,Chen Z F,Ma D G.Study on remote sensing monitoring of ecological environment in Yangzhou city between 2010 and 2015[J].Environ Sci Manage,2017,42(9):171-175. [22] 徐凯磊,胡智峰,丁建伟,等.基于多时相遥感影像的蔚县矿区环境评价[J].煤炭技术,2020,39(6):149-153. Xu K L,Hu Z F,Ding J W,et al.Quantitative evaluation of ecological environment in Yuxian county coalfield based on multi-temporal RS imagery[J].Coal Technol,2020,39(6):149-153. [23] 中华人民共和国环境保护部.区域生物多样性评价标准:HJ 623—2011[S].北京:中国环境科学出版社,2012. Ministry of Environmental Protection of the People’s Republic of China.Standard for the Assessment of Regional Biodiversity:HJ 623-2011[S].Beijing:China Environmental Science Press,2012. [24] 饶丽. 北京市生态环境状况评价及生态效率测算[D].北京:北京林业大学,2019. Rao L.Assessment of ecological environment and measurement of ecological efficiency in Beijing[D].Beijing:Beijing Forestry University,2019. [25] 布仁仓,常禹,胡远满,等.基于Kappa系数的景观变化测度——以辽宁省中部城市群为例[J].生态学报,2005,25(4):778-784. Bu R C,Chang Y,Hu Y M,et al.Measuring spatial information changes using Kappa coefficients:A case study of the city groups in central Liaoning Province[J].Acta Ecol Sin,2005,25(4):778-784. [26] 许文宁,王鹏新,韩萍,等.Kappa系数在干旱预测模型精度评价中的应用——以关中平原的干旱预测为例[J].自然灾害学报,2011,20(6):81-86. Xu W N,Wang P X,Han P,et al.Application of Kappa coefficient to accuracy assessments of drought forecasting model:A case study of Guanzhong Plain[J].J Nat Dis,2011,20(6):81-86.
2021, Vol. 8 
