[1]黄 萍,卢 远*,王丹媛,等.广西森林转型与森林扰动遥感监测研究[J].山地学报,2019,(01):118-128.[doi:10.16089/j.cnki.1008-2786.000405]
　HUANG Ping,LU Yuan*,WANG Danyuan,et al.Remote Sensing Monitoring of Forest Transition and Forest Disturbance in Guangxi, China[J].Mountain Research,2019,(01):118-128.[doi:10.16089/j.cnki.1008-2786.000405]
点击复制

广西森林转型与森林扰动遥感监测研究()
分享到：

《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2019年01期
页码:
118-128
栏目:
山区发展
出版日期:
2019-03-10

文章信息/Info

Title:
Remote Sensing Monitoring of Forest Transition and Forest Disturbance in Guangxi, China
文章编号:
1008-2786-(2019)1-118-11
作者:
黄 萍1; 卢 远1; 2*; 王丹媛1; 刘斌涛3
1.南宁师范大学 地理科学与规划学院,南宁 530001; 2.北部湾环境演变与资源利用教育部重点实验室,南宁 530001; 3.中国科学院、水利部成都山地灾害与环境研究所,成都 610041
Author(s):
HUANG Ping1;  LU Yuan1; 2*;  WANG Danyuan1;  LIU Bintao3
1. School of Geography and Planning, Nanning Normal University, Nanning 530001, China; 2. Key Laboratory of Environment Change and Resources Use in Beibu Gulf, Ministry of Education, Nanning 530001, China; 3. Institute of Mountain Hazards and Environment, CAS, Chengdu 610041, China
关键词:
MODIS;  Sen+Mann-Kendall;  变化矢量法;  森林转型;  森林扰动
Keywords:
MODIS;  Sen+Mann-Kendall;  change vector method;  forest transition;  forest disturbance
分类号:
P95; TP79
DOI:
10.16089/j.cnki.1008-2786.000405
文献标志码:
A
摘要:
近20年来由于封山育林政策的实施和人工乔木林的大面积种植,广西森林面积大幅增加,正在经历深刻的森林转型,森林转型过程中农林交错带和森林内部的结构重组都给生态系统带来了不容忽视的扰动。本文基于2000—2016年MODIS-EVI影像数据、1:100万地貌图和4期土地利用数据,采用变化矢量法和Sen+Mann-Kendall对广西进行森林转型背景下的森林转型路径和森林内部扰动特征分析。研究表明:自2000年以来广西森林的EVI变化强度以无变化和低变化类型为主,总体EVI上升趋势略大于下降趋势,EVI显著下降主要分布于十万大山、大瑶山、海洋山和越城岭等山地区域和桂西北的百色水利枢纽和龙滩水利枢纽周围,显著上升部分主要集中于桂中南的左江-邕江-郁江流域平原丘陵区、桂西南喀斯特区和桂东北山地区地势低平的河谷地带。广西森林面积增加的土地来源于耕地和草地,森林转型路径表现为“经济增长型”和“森林短缺型”两种路径并存,或者存在更为复杂的复合型路径。广西森林内部扰动的减少型和扰动型分布于桂西北喀斯特和桂东北山地起伏度较大的陡坡区域,增加型分布于桂中南的平原丘陵地区。由于山地陡坡区域和喀斯特地区的生态敏感性,应更多关注扰动型和减少型在桂西北和桂东北地区的集中分布问题。
Abstract:
In the past 20 years, due to the implementation of the Chinese afforestation policy and the extensive planting of artificial forests, the forest area in Guangxi has increased significantly and is undergoing profound forest transformation. In the process of forest transformation, the structural reorganization developing within the ecotone between agriculture and forestry as well as internal forest have brought disturbance to the ecosystem that cannot be ignored. Based on MODIS-EVI image data from 2000 to 2016, 1:1 000 000 geomorphologic maps and 4 periods of land use data(2000, 2005, 2010 and 2015), this paper used the change vector method and Sen+Mann-Kendall statistics to analyze forest transformation path and forest internal disturbance characteristics in Guangxi. And forest disturbance could be interpreted as four types, i.e. invariance, disturbance, increase and decrease type according to EVI values. Results shows that the intensity of EVI in Guangxi forests had been dominated by non-change and low-variation types since 2000, and the overall EVI rising trend was slightly higher than the downward trend. The significant decline in EVI was mainly distributed in the mountain areas of the Siwangda Mountain, Dayao Mountain, Haiyang Mountain and Yuecheng Ridge, and the Baise Dam Project and Longtan Hydro Project in northwestern Guangxi. The substantial increase in EVI was mainly concentrated in the plain and hilly areas of Zuojiang-Yongjiang-Yujiang river basins in the central and south Guangxi, karst areas in southwestern Guangxi and low-lying valley areas in north-eastern Guangxi. The decrease and disturbance types were distributed in karst areas in northwestern Guangxi and steep slopes with large fluctuation in the mountainous areas of northeastern Guangxi, while the increase type was distributed in plain and hilly areas of the central and south Guangxi. The increased forest area in Guangxi came from cultivated lands and grasslands. The path of forest transformation was characterized by the coexistence of “economic growth” and “forest shortage”, or there was a more complex compound path. Due to the ecological sensitivity of mountainous steep slope areas and karst areas to forest transformation, more attention should be paid to the concentrated distribution of disturbance and decrease types in northwestern and northeastern Guangxi.

参考文献/References:

[1] 龙花楼,李秀彬. 区域土地利用转型分析--以长江沿线样带为例[J]. 自然资源学报,2002,17(2):144-149. [LONG Hualou, LI Xiubin. Analysis on regional land use transition: a case study in transect of Yangtze River[J]. Journal of Natural Resources, 2002, 17(2): 144-149]
[2] MATHER A S. The forest transition [J]. Area, 1992, 24(4):367-379.
[3] GRAINGER A. The forest transition: an alternative approach [J]. Area, 1995, 27(3):242-251.
[4] MATHERA S, FAIRBAIRN J, NEEDLE C L. The course and drivers of the forest transition: the case of France[J]. Journal of Rural Studies, 1999, 15(1):65-90.
[5] YEO I Y, HUANG C. Revisiting the forest transition theory with historical records and geospatial data: a case study from Mississippi(USA)[J]. Land Use Policy, 2013, 32(3):1-13.
[6] 李秀彬,赵宇鸾. 森林转型、农地边际化与生态恢复[J]. 中国人口·资源与环境,2011,21(10):91-95. [LI Xiubin, ZHAO Yuluan. Forest transition, agricultural land marginalization and ecological restoration [J]. China Population, Resources and Environment[J], 2011, 21(10):91-95]
[7] RUDEL T K, COOMES O T, MORANE, et al. Forest transitions: towards a global understanding of land use change [J]. Global Environmental Change, 2005, 15(1):23-31.
[8] ANGELSEN A. Forest cover change in space and time: combining the Von Thunen and forest transition theories [J]. Policy Research Working Paper, 2007:1-43(43).
[9] 苏永莉,阎建忠,周洪. 重庆市的森林转型:时空格局与动态模拟[J]. 西南大学学报(自然科学版),2016,38(6):82-91. [SU Yongli, YAN Jianzhong, ZHOU Hong. Forest transition in Chongqing: temporal and spatial patterns and dynamic simulation[J]. Journal of Southwest University(Natural Science Edition), 2016, 38(6):82-91]
[10] FOSETER A D, ROSENZWEIG M R. Economic growth and the rise of forests[J]. Quarterly Journal of Economics, 2003, 118(2):601-637.
[11] THOMPSON D. Landscape-level dynamics of grassland-forest transitions in British Columbia[J]. Journal of Range Management, 2004, 57(1):66-75.
[12] DRUMMOND M A,LOVELAND T R. Land-use pressure and a transition to forest-cover loss in the Eastern United States[J]. Bioscience, 2010, 60(4):286-298.
[13] TIMMS B F, MCCRACKEN M. From deforestation to reforestation: applying the forest transition to the Cockpit Country of Jamaica[J]. Area, 2013, 45(1):77-87.
[14] 赵宇鸾,葛玉娟,旷成华,等. 乡村振兴战略下贵州山区森林转型路径研究[J]. 贵州师范大学学报(自然科学版),2018,36(1):1-7. [ZHAO Yuluan, GE Yujuan, KUANG Chenghua, et al. The path of forest transformation in mountainous areas in Guizhou province under the strategy of rural revitalization[J]. Journal of Guizhou Normal University(Natural Sciences), 2018,36(1):1-7]
[15] XU J. China's new forests aren't a green as they seem[J]. Nature, 2011, 477(7365):371.
[16] 杨辰,沈润平.森林扰动遥感监测研究进展[J]. 国土资源遥感,2015,27(1):1-8. [YANG Chen, SHEN Runping. Progress in the study of forest disturbance by remote sensing[J].Remote Sensing for Land and Resources,2015, 27(1): 1-8]
[17] 吕莹莹,庄义琳,任芯雨,等. 南京城市森林干扰及恢复自动制图[J]. 应用生态学报,2016,27(2):429-435. [LYU Yingying, ZHANG Yilin, REN Xinyu, et al. Automated mapping of urban forests' disturbance and recovery in Nanjing, China[J]. Chinese Journal of Applied Ecology, 2016, 27(2):429-435]
[18] SHEN W, LI M, WEI A. Spatio-temporal variations in plantation forests' disturbance and recovery of northern Guangdong Province using yearly Landsat time series observations(1986-2015)[J]. Chinese Geographical Science, 2017, 27(4):600-613.
[19] 汤冬梅,樊辉,张瑶. Landsat时序变化检测综述[J]. 地球信息科学学报,2017,19(8):1069-1079. [TANG Dongmei, FAN Hui, ZHANG Yao. Review on Landsat time series change detection methods[J]. Journal of Geo-information Science, 2017, 19(8):1069-1079]
[20] 沈文娟,李明诗. 基于长时间序列Landsat影像的南方人工林干扰与恢复制图分析[J]. 生态学报,2017,37(5):1438-1449. [SHEN Wenjuan, LI Mingshi. Mapping disturbance and recovery of plantation forests in southern China using yearly Landsat time series observations[J]. Acta Ecologica Sinica, 2017,37(5): 1438-1449]
[21] 王正兴,刘闯,HUETE Alfredo.植被指数研究进展:从AVHRR-NDVI到MODIS-EVI[J]. 生态学报,2003,23(5):979-987. [WANG Zhengxing, LIU Chuang, HUETE Alfredo. From AVHRR-NDVI to MODIS-EVI: advances in vegetation index research[J]. Acta Ecologica Sinica,2003,23(5):979-987]
[22] 陈效逑,王恒. 1982-2003年内蒙古植被带和植被覆盖度的时空变化[J]. 地理学报,2009,64(1):84-94. [CHEN Xiaoqiu, WANG Heng. Spatial and temporal variations of vegetation belts and vegetation cover degrees in Inner Mongolia from 1982 to 2003[J]. Acta Geographica Sinica, 2009, 64(1):84-94]
[23] 邓晨晖,白红英,高山,等. 秦岭植被覆盖时空变化及其对气候变化与人类活动的双重响应[J]. 自然资源学报,2018,33(3):425-438. [DENG Chenhui, BAI Hongying, GAO Shan, et al. Spatial-temporal variation of the vegetation coverage in Qinling Mountains and its dual response to climate change and human activities[J]. Journal of Natural Resources, 2018, 33(3):425-438]
[24] 黄国勤,赵其国. 广西桉树种植的历史、现状、生态问题及应对策略[J]. 生态学报,2014,34(18):5142-5152. [HUANG Guoqin, ZHAO Qiguo. The history, status quo, ecological problems and countermeasures of Eucalyptus plantations in Guangxi[J]. Acta Ecologica Sinica, 2014, 34(18): 5142-5152]
[25] 李治基. 广西森林[M].北京:中国林业出版社,2001:29-42. [LI Zhiji. Forest of Guangxi [M]. Beijing: China Forestry Publishing House, 2001:29-42]
[26] 广西统计局. 广西统计年鉴[M]. 北京:中国统计出版社,1983,1991,2001,2014. [Bureau of Statistics of Guangxi. Guangxi statistical yearbook[M]. Beijing: China Statistics Press,1983,1991,2001,2014]
[27] 陈云浩,李晓兵,陈晋,等. 1983-1992年中国陆地植被NDVI演变特征的变化矢量分析[J]. 遥感学报,2002,6(1):12-18.[CHEN Yunhao, LI Xiaobing, CHEN Jin, et al. The Change of NDVI time series based on change vector analysis in China, 1983-1992[J]. Journal of Remote Sensing, 2002, 6(1):12-18]
[28] 蔡博峰,于嵘.基于遥感的植被长时序趋势特征研究进展及评价[J]. 遥感学报,2009,13(6):1170-1186. [CAI Bofeng, YU Rong. Advance and evaluation in the long time series vegetation trends research based on remote sensing[J]. Journal of Remote Sensing, 2009, 13(6):1170-1186]
[29] GHOSH M, SEN P K. Estimates of the regression coefficient based on Kendall's Tau[J]. Journal of the American Statistical Association, 1968, 63(324):1379-1389.
[30] 魏凤英. 现代气候统计诊断与预测技术[M]. 2版.北京:气象出版社,2007:58-60. [WEI Fengying. Modern climate statistical diagnosis and prediction technology - Second Edition[M]. 2nd Edition. Beijing: China Meteorological Press, 2007:58-60]
[31] 何洁琳,谢敏,黄卓,等. 广西气候变化事实[J]. 气象研究与应用,2016,37(3):11-15.[HE Jielin, XIE Min, HUANG Zhuo, et al. Climate change in Guangxi[J]. Journal of Metrological Research and Application, 2016, 37(3):11-15]
[32] 刘德红,白光. 解决广西农村就业问题的经济学探讨[J]. 中央民族大学学报(哲学社会科学版),2016(5):41-45. [LIU Dehong, BAI Guang. Solution to the problem of rural employment in Guangxi in perspective of economics[J]. Journal of Minzu University of China(Philosophy and Social Sciences Edition), 2016(5):41-45]
[33] 杨智文. “十三五”广西柑橘产业发展对策研究[D]. 南宁:广西大学,2015:23-26. [YANG Zhiwen. Study on the developmental countermeasure of Guangxi's citrus industry in the 13th five-year-plan[D]. Nanning: Guangxi University.2015:23-26]
[34] 聂鑫,章文波,薛丽霞. 广西速生桉种植的空间分布及生态特征[J]. 北京师范大学学报(自然科学版),2017,53(2):215-221. [NIE Xin, ZHANG Wenbo, XUE Lixia. The spatial distribution of fast-growing Eucalyptus and ecological characteristics in Guangxi[J]. Journal of Beijing Normal University(Natural Science), 2017, 53(2):215-221]

相似文献/References:

[1]张华伟,童海刚,鲁安新,等.精河到伊宁公路沿线积雪及其影响[J].山地学报,2012,(01):48.
　ZHANG Huawei,TONG Haigang,LU Anxin,et al.Snow Cover along the Jinghe to Yining Highway and Its Impact[J].Mountain Research,2012,(01):48.
[2]延昊,张佳华.基于SSM/I被动微波数据的中国积雪深度遥感研究[J].山地学报,2008,(01):59.
[3]庄宇娇,贾 翔*,陈孟禹,等.提孜那甫河流域冰-草生态交错带MODZS动态特征[J].山地学报,2016,(06):780.[doi:10.16089/j.cnki.1008-2786.000186]
　ZHUANG Yujiao,JIA Xiang,CHEN Mengyu,et al.Dynamic Features of the Ice-Grass Ecotone in Tizinafu River Basin based on MODIS Data[J].Mountain Research,2016,(01):780.[doi:10.16089/j.cnki.1008-2786.000186]
[4]唐志光,王 建,王 欣,等.基于MODIS数据的青藏高原积雪日数提取与时空变化分析[J].山地学报,2017,(03):412.[doi:10.16089/j.cnki.1008-2786.000237]
　TANG Zhiguang,WANG Jian,WANG Xin,et al.Extraction and Spatiotemporal Analysis of Snow Covered Days over Tibetan Plateau Based on MODIS Data[J].Mountain Research,2017,(01):412.[doi:10.16089/j.cnki.1008-2786.000237]
[5]拉 巴,拉 珍,拉巴卓玛*,等.2000-2018年那曲市植被NDVI变化及气候变化响应[J].山地学报,2019,(04):499.[doi:10.16089/j.cnki.1008-2786.000442]
　LA Ba,LA Zhen,LA Ba Droma*,et al.NDVI Change and Its Response to Climate Change in Nag Qu City during 2000-2018[J].Mountain Research,2019,(01):499.[doi:10.16089/j.cnki.1008-2786.000442]
[6]邢立亭,李 净*.基于遥感数据和随机森林算法的黄土高原地区气温模拟及时空变化[J].山地学报,2020,(6):873.[doi:10.16089/j.cnki.1008-2786.000563]
　XING Liting,LI Jing*.Temperature Simulation and Temporal Variation Based on Remote Sensing Data and Random Forest Algorithm: A Case Study in the Loess Plateau Region, China[J].Mountain Research,2020,(01):873.[doi:10.16089/j.cnki.1008-2786.000563]

备注/Memo

备注/Memo:
收稿日期(Received date):2018-05-15; 改回日期(Accepted date):2019-01-04
基金项目(Foundation item):国家自然科学基金(41661043); 广西自然科学基金(2015GXNSFAA139234); 广西科技重点研发计划(AB16380318); 广西研究生教育创新计划项目(YCSW2017185)。[National Natural Science Foundation of China(41661043); Natural Science Foundation of Guangxi Province of China(2015GXNSFAA139234); Guangxi Science and Technology Program(AB16380318); Graduate Students' Innovation and Entrepreneurship Training Program of Guangxi(YCSW2017185)]
作者简介(Biography):黄萍(1995-),女,广西横县人,硕士研究生,主要研究方向:植被定量遥感、GIS应用。[HUANG Ping(1995-), female, born in Hengxian, Guangxi province, M.Sc. candidate, research on quantitative remote sensing of vegetation and GIS applications] E-mail: huangping8101@126.com
*通讯作者(Corresponding author):卢远(1971-),男,博士,教授,主要研究方向:环境遥感。[LU Yuan(1971-), male, Ph.D., professor, specialized in environmental remote sensing] E-mail: luyuan.gx@qq.com
更新日期/Last Update: 2019-01-30