Please wait a minute...
img

官方微信

遥感技术与应用  2021, Vol. 36 Issue (4): 916-925    DOI: 10.11873/j.issn.1004-0323.2021.4.0916
遥感应用     
以“胡焕庸线”为界的中国东西部净初级生产力变化分析
周雷雷1,2(),郑诗军2,5,尹捷1,2,张雅琼3,黄文江2,王心源2,王岩2,5,张赫林4,陈俊杰1,彭代亮2()
1.河南理工大学 测绘与国土信息工程学院,河南 焦作 454003
2.中国科学院空天信息创新研究院 数字地球重点实验室,北京 100094
3.生态环境部卫星环境应用中心,北京 100094
4.北京市陆表遥感数据产品工程技术研究中心,北京师范大学地理科学学部,北京 100875
5.中国科学院大学,北京 100049
Analysis on the Change of Net Primary Productivity in the East and West of China Bounded by “The Hu Huanyong Line”
Leilei Zhou1,2(),Shijun Zheng2,5,Jie Yin1,2,Yaqiong Zhang3,Wenjiang Huang2,Xinyuan Wang2,Yan Wang2,5,Helin Zhang4,Junjie Chen1,Dailiang Peng2()
1.School of Surveying and Land Information Engineering,Henan Polytechnic University,Jiaozuo 454003,China
2.Key Laboratory of Digital Earth Science,Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China
3.Center for Satellite Application on Ecology and Environment,Ministry of Ecology and Environment,Beijing 100094,China
4.Beijing Engineering Research Center for Global Land Remote Sensing Products,Institute of Remote Sensing Science and Engineering,Faculty of Geographical Science,Beijing Normal University,Beijing 100875,China
5.University of Chinese Academy of Sciences,Beijing 100049,China
 全文: PDF(8680 KB)   HTML
摘要:

推动区域均衡协调与可持续发展是我国的重大战略之一,植被净初级生产力(NPP)对生态环境是否可持续发展起着重要作用。以“胡焕庸线”为界把我国分为东、西部,从像元尺度和县级行政单元研究分析我国NPP、人口以及人均NPP时空变化,尤其是东、西部的区域差异。结果表明:我国人口增长较快,从1982年的10.05亿增长到2017年的13.95亿,以“胡焕庸线”为界的西部占比由5.91%增长到6.42%;我国NPP整体呈现增长的趋势,总量由1982年的2.69 Pg C增长到2015年的3.24 Pg C,增长率为16.60 Tg C/a,其中东部增长率12.30 Tg C/a是西部(4.30 Tg C/a)的近3倍;西部人均NPP远大于东部与全国,1982、2000、2010、2017年西部与全国人均NPP持续处于下降的状态,但下降速率略有放缓,东部人均NPP则在2017年首次出现增长。据此可知我国整体生态环境处于恢复的状态,但不同区域之间差异较大,因此在相关政策制定方面应该充分考虑区域差异性,以实现我国生态环境的区域协调发展。

关键词: 人均NPP胡焕庸线空间分布年际变化    
Abstract:

Promoting regional balanced, coordinated and sustainable development is one of the most important strategies in China. Net Primary Productivity (NPP) plays a significant role in indicating the sustainable development of Chinese ecological environment. This paper divides China into East and West based on the "Hu Huanyong Line". Then we studies and analyzes the spatio-temporal changes of NPP, population, and per capita NPP, especially the regional differences between east and west at pixel level and county level respectively. The results show that Chinese population has grown rapidly from 1.005 billion in 1982 to 1.395 billion in 2017. The proportion of population of the western region bounded by the "Hu Huanyong Line" has increasedfrom 5.91% to 6.42%; NPP has shown an overall growth trend among studying years, which increased from 2.69 Pg C in 1982 to 3.24 Pg C in 2015, with a growth rate of 16.60 Tg C/yr. The growth rate of NPP (12.30 Tg C/yr) in the east was nearly three times that (4.30 Tg C/yr) in the west; The per capital NPP in the West is much larger than that in the east and the whole China. In 1982, 2000, 2010, and 2017, the per capita NPP in the west and the whole China continued to decline, but the decline rate slowed down slightly. The per capita NPP in the east increased for the first time in 2017. Based on this, it can be seen that Chinese ecological environment is general in a state of restoration, while there are large differences between different regions. Therefore, regional differences should be fully considered in the formulation of relevant policies to achieve the coordinated development of Chinese ecological environment.

Key words: NPP per capita    The Hu Huanyong Line    Spatial distribution    Interannual change
收稿日期: 2020-06-22 出版日期: 2021-09-26
ZTFLH:  TP751  
基金资助: 国家自然科学基金项目(42071329);中国科学院A类战略性先导科技专项“地球大数据科学工程”(XDA19090112)
通讯作者: 彭代亮     E-mail: 1181482585@qq.com;pengdl@radi.ac.cn
作者简介: 周雷雷(1995-),男,河南商丘人,硕士研究生,主要从事生态遥感监测研究。E?mail:1181482585@qq.com
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  
周雷雷
郑诗军
尹捷
张雅琼
黄文江
王心源
王岩
张赫林
陈俊杰
彭代亮

引用本文:

周雷雷,郑诗军,尹捷,张雅琼,黄文江,王心源,王岩,张赫林,陈俊杰,彭代亮. 以“胡焕庸线”为界的中国东西部净初级生产力变化分析[J]. 遥感技术与应用, 2021, 36(4): 916-925.

Leilei Zhou,Shijun Zheng,Jie Yin,Yaqiong Zhang,Wenjiang Huang,Xinyuan Wang,Yan Wang,Helin Zhang,Junjie Chen,Dailiang Peng. Analysis on the Change of Net Primary Productivity in the East and West of China Bounded by “The Hu Huanyong Line”. Remote Sensing Technology and Application, 2021, 36(4): 916-925.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2021.4.0916        http://www.rsta.ac.cn/CN/Y2021/V36/I4/916

图1  1982~2015年中国平均NPP分布与东、西部各区间占比审图号:GS(2018)2700
图2  1982~2015年中国NPP年际变化率与NPP总值年际变化(审图号:GS(2018)2700)
图3  中国县级人口历史空间分布
图4  人口数不同值域范围县级行政单元数
图5  中国县级人口密度历史空间分布
图6  1982、2000、2010、2017年中国人口数量、东西部占比与人口密度
图7  1982、2000、2010、2017年中国人均NPP空间分布
图8  人均NPP不同值域范围县级行政单元数
图9  1982和2017人均NPP差值与人均NPP(审图号:GS(2018)2700)
1 Chen J M.Carbon neutrality towards sustainable future[J].The Innovation, 2021,2(3):100127. doi:10.1016/J.XINN. 2021.100127.
doi: 10.1016/J.XINN. 2021.100127
2 Shilong Piao , Fang Jingyun. Vegetation net primary productivity and its temporal and spatial changes in the Qinghai-Tibet Plateau from 1982 to 1999[J]. Journal of Natural Resources, 2002,17(3):373-380.
2 朴世龙,方精云.1982~1999年青藏高原植被净第一性生产力及其时空变化[J].自然资源学报,2002,17(3):373-380.
3 Gao Q, Guo Y, Xu H, et al. Climate change and itsImpacts on vegetation distribution and net primary productivity of the alpine ecosystem in the Qinghai-Tibetan Plateau[J].Science of the Total Environment,2016:554-555.doi:10.1016/j.scitotenv.2016.02.131.
doi: 10.1016/j.scitotenv.2016.02.131
4 Xu H, Wang X, Zhang X. Alpine grasslands response to climatic factors and anthropogenic activities on the Tibetan Plateau from 2000 to 2012[J]. Ecological Engineering,2016,92:251-259.doi:10.1016/j.ecoleng.2016.04.005.
doi: 10.1016/j.ecoleng.2016.04.005
5 An Ni, Ning Xiaoli, Quansheng Hai , et al. Research on the spatial and temporal distribution of net primary productivity of Hunshandake sandy land in the past 15 years based on MODIS data[J].Journal of Arid Land Resources and Environment, 2020, 34(4): 168-175.
5 安妮, 宁小莉, 海全胜, 等. 基于MODIS数据的近15年浑善达克沙地植被净初级生产力时空分布研究[J].干旱区资源与环境,2020,34(4):168-175.
6 Wang Hui, Liu Hailong, Bao Anming, et al. Remote sensing estimation of net primary productivity in the Kaikong river basin from 2001 to 2013 and its temporal and spatial distribution characteristics[J]. Bulletin of Soil and Water Conservation, 2016, 36(5):220-224,230,2.
6 王辉, 刘海隆, 包安明,等. 2001~2013年开孔河流域净初级生产力遥感估算及其时空分布特征[J]. 水土保持通报, 2016, 36(5):220-224,230,2.
7 Yang Xiao, Guo Bing, Han Baomin, et al. Analysis of NPP spatial and temporal evolution pattern and driving mechanism in the Qinghai-Tibet Plateau [J]. Resources and Environment in The Yangtze Basin, 2019, 28(12): 3038-3050.
7 杨潇, 郭兵, 韩保民, 等. 青藏高原NPP时空演变格局及其驱动机制分析[J].长江流域资源与环境,2019,28(12):3038-3050.
8 Liu Gang, Sun Rui, Xiao Zhiqiang, et al. Temporal and spatial changes of net primary productivity of vegetation in China from 2001 to 2014 and its relationship with meteorological factors [J]. Acta Ecologica Sinica,2017,37(15): 4936-4945.
8 刘刚, 孙睿, 肖志强, 等. 2001~2014年中国植被净初级生产力时空变化及其与气象因素的关系[J].生态学报,2017,37(15):4936-4945.
9 Zhang Shanyu. Chinese population geography [M]. Beijing: Science Press, 2003:237.
9 张善余.中国人口地理[M].北京:科学出版社,2003:237.
10 Hu Huanyong. Regional distribution of population in China [J]. Science, 2015, 67(1): 3-4.
10 胡焕庸.中国人口地域分布[J].科学,2015,67(1):3-4.
11 Li Mei. Li Keqiang’s Questions and Hu Huanyong Line breaking[J].Exploration and Free Views,2016(1):36.
11 李梅.李克强之问与胡焕庸线之破[J].探索与争鸣,2016(1):36.
12 Zheng Zhenzhen. Review China’s population changes to grasp the future policy direction[N]. China Social Science Journal, 2020-03-10(003).
12 郑真真. 回顾中国人口变动把握未来政策导向[N].中国社会科学报,2020-03-10(003).
13 Gong Shengsheng, Chen Yun.The historical changes of the dividing line between density and density in China, its mathematical fitting and geographical significance[J].Acta Geographica Sinica, 2019, 74(10): 2147-2162.
13 龚胜生, 陈云.中国人口疏密区分界线的历史变迁及数学拟合与地理意义[J].地理学报,2019,74(10):2147-2162.
14 Zhu Wei, Lu Yue. Summarizing the laws of population development and promoting the reform of the social security system-a summary of the academic seminar on "70 years of new china: demographic changes and social security system reform" [J]. Chinese Journal of Population Science, 2019(5) :121-125.
14 朱炜, 陆悦. 总结人口发展规律,推动社保制度改革——“新中国70年:人口变迁与社会保障制度改革”学术研讨会综述[J].中国人口科学,2019(5):121-125.
15 Duan Chengrong, Yang Ge, Zhang Fei, et al. Nine major trends of my country’s floating population changes since reform and opening up[J].Population Research, 2008,32(6):30-43.
15 段成荣, 杨舸, 张斐, 等. 改革开放以来我国流动人口变动的九大趋势[J].人口研究,2008,32(6):30-43.
16 Lu Longhui, Chen Fujun, Xu Yueqing,et al. "Ecosystem Service Transformation" and spatial structure of Beijing, Tianjin and Hebei[J]. Journal of Natural Resources, 2020, 35(3): 532-545.
16 卢龙辉, 陈福军, 许月卿, 等. 京津冀“生态系统服务转型”及其空间格局[J].自然资源学报,2020,35(3):532-545.
17 Wang Hebin,Wang Wenjuan.Shang Lingjie.The spatial-temporal pattern of cultivated land productivity in Shandong province from2000 to 2015[J]. Journal of China Agricultural University,2020,25(3): 128-138.
17 王赫彬, 王文娟, 商令杰. 2000~2015年山东省耕地产能的时空格局[J].中国农业大学学报,2020,25(3):128-138.
18 Ma Xin, Zheng Xiaoxiao, Wang Yun, et al.Research on the spatial-temporal evolution and driving factors of cultivated land pressure in the Central Plains economic zone[J]. Chinese Journal of Agricultural Resources and Regional Planning,2021,42(3):58-66.
18 马歆,郑潇潇,王韵, 等. 中原经济区耕地压力时空演变及驱动因素研究[J].中国农业资源与区划,2021,42(3):58-66.
19 Gu B,Grinsven H, Shu K L, et al. A credit system to solve agricultural nitrogen pollution[J]. The Innovation,2021:100079.DOI:10.1016/j.xinn.2021.100079.
doi: 10.1016/j.xinn.2021.100079
20 Liu Tongfang. The inevitable logic behind the main contradictions of society in the Nnw era[J]. Journal of South China Normal University (Social Science Edition), 2017(6): 47-52+189-190.
20 刘同舫.新时代社会主要矛盾背后的必然逻辑[J].华南师范大学学报(社会科学版),2017(6):47-52+189-190.
21 Fang Chuanglin. Botai line—an important function and construction concept of China’s regional development equilibrium line [J]. Acta Geographica Sinica, 2020, 75(2): 211-225.
21 方创琳.博台线—中国区域发展均衡线的重要功能与建设构想[J].地理学报,2020,75(2):211-225.
22 Zou Fangbin, Wang Yi. Constitutional economic analysis of ecological compensation between the east and the west[J]. Qinghai Social Sciences, 2018(6): 41-47.
22 邹方斌, 王翊.东西部地区之间生态补偿的宪政经济学分析[J].青海社会科学,2018(6):41-47.
23 Qiao Xuning, Wang Linfeng, Niu Haipeng, et al. Analysis of eco-economic coordination of Huaihe River basin in Henan Province based on NPP data[J]. Economic Geography, 2016, 36(7): 173-181,189.
23 乔旭宁, 王林峰, 牛海鹏, 等. 基于NPP数据的河南省淮河流域生态经济协调性分析[J].经济地理,2016,36(7):173-181,189.
24 Chen Fahu, Fu Bojie, Xia Jun, et al. Important progress and prospects of basic research on natural geography and living environment in China in recent 70 years[J]. Science Science Terrae, 2019, 49(11): 1659-1696.
24 陈发虎, 傅伯杰, 夏军, 等. 近70年来中国自然地理与生存环境基础研究的重要进展与展望[J].中国科学:地球科学,2019,49(11):1659-1696.
25 Chen Quangong, Tan Zhonghou, Cili Jiu. A discussion on the "North-South Boundary" and "Crossing of Agriculture and Animal Husbandry"[J]. Pratacultural Science, 2010, 27(6): 6-12.
25 陈全功, 谭忠厚,九次力.“南北分界”与“农牧交错”一席谈[J].草业科学,2010,27(6):6-12.
26 Lu Dadao, Wang Zheng, Feng Zhiming, et al. The academic controversy on "Whether the Hu Huanyong Line Can Break Through"[J].Geographical Research,2016,35(5):805-824.
26 陆大道, 王铮, 封志明, 等. 关于“胡焕庸线能否突破”的学术争鸣[J].地理研究,2016,35(5):805-824.
27 Guo Huadong, Wang Xinyuan, Wu Bingfang, et al. Recognizing the dividing line of population density based on spatial information—"Hu Huanyong Line"[J]. Bulletin of Chinese Academy of Sciences, 2016, 31(12): 1385-1394.
27 郭华东, 王心源, 吴炳方, 等. 基于空间信息认知人口密度分界线—“胡焕庸线”[J].中国科学院院刊,2016,31(12):1385-1394.
28 Cui T, Rui S, Chen Q, et al. Estimating diurnal courses of gross primary production for maize: a comparison of sun-induced Chlorophyll Fluorescence, light-use efficiency and process-based models[J]. Remote Sensing, 2017, 9(12):1267. doi:10.3390/rs9121267.
doi: 10.3390/rs9121267
29 Chen G, Li X , Liu X , et al. Global projections of future urban land expansion under shared socioeconomic pathways[J]. Nature Communications, 2020, 11(1):537.DOI:10.1038/s41467-020-14386-x.
doi: 10.1038/s41467-020-14386-x
30 Hou Yanli, Ma Jun. Analysis of influencing factors and policy recommendations on the change of cultivated land in my country[J]. Journal of Anhui Agricultural Sciences, 2019, 47(18): 60-64.
30 侯艳丽, 马俊.我国耕地面积变化的影响因素分析及政策建议[J].安徽农业科学,2019,47(18):60-64.
31 Chen Meiqiu, Lai Zhaohao, Liu Taoju. Changes and prospects of cultivated land use in my country since the reform and opening up[J]. Chinese Journal of Soil Science, 2019,50(2):497-504.
31 陈美球, 赖昭豪, 刘桃菊. 改革开放以来我国耕地利用变化及其展望[J].土壤通报,2019,50(2):497-504.
32 Chu Yuqi. "Comprehensive Second Child", population age structure change and resident consumption growth—based on national inter-provincial panel data from 2002 to 2017[J].Journal of Commercial Economics2020(8):66-69.储宇奇.“全面二孩”、人口年龄结构变动与居民消费增长—基于2002~2017年全国省际面板数据[J].商业经济研究,2020(8):66-69.
33 Zhao Dan,Wu Binfang,Zeng Yuan,et al.Remote sensing monitoring and analysis of China’s artificial surface changes from 2000 to 2015[J]. Scientia Geographica Sinica,2019,39(12):1982-1989.
33 赵旦, 吴炳方, 曾源, 等. 2000~2015年中国人工表面变化遥感监测分析[J]. 地理科学,2019,39(12):1982-1989.
34 Zhao Daquan. Population distribution, economic agg lomeration and regional development strategy[J]. Economic Research Reference, 2019(17):53-61.
34 赵大全.人口分布、经济聚集与区域发展战略[J].经济研究参考,2019(17):53-61.
35 Li Yifei, Wang Kayong. Analysis of the classification evolution process and laws of my country’s formed cities since the reform and opening up[J].Economic Geography,2019,39(11):49-59.
35 李一飞, 王开泳.改革开放以来我国建制市的分类演进过程与规律分析[J].经济地理,2019,39(11):49-59.
36 Bryan B A, Gao L, Ye Y, et al. China’s response to anational land-system sustainability emergency[J]. Nature, 2018, 559:193-204. DOI:10.1038/s41586-018-0280-2.
doi: 10.1038/s41586-018-0280-2
[1] 边瑞,年雁云,勾晓华,贺泽宇,田行宜. 基于无人机激光雷达的森林冠层高度分析[J]. 遥感技术与应用, 2021, 36(3): 511-520.
[2] 焦雪敏,张赫林,徐富宝,王岩,彭代亮,李存军,徐希燕,范海生,黄运新. 青藏高原1982~2015年FPAR时空变化分析[J]. 遥感技术与应用, 2020, 35(4): 950-961.
[3] 王飞龙,王福民,胡景辉,谢莉莉,谢京凯. 基于相对光谱变量的无人机遥感水稻估产及产量制图[J]. 遥感技术与应用, 2020, 35(2): 458-468.
[4] 侯美亭,赵海燕,王筝,延晓冬. 基于GIMMS、VGT和MODIS的中国东部植被指数对比分析[J]. 遥感技术与应用, 2013, 28(2): 290-299.
[5] 刘俊峰,陈仁升. 东北—内蒙古地区基于MODIS单、双卫星积雪数据及常规积雪观测结合的积雪日数研究[J]. 遥感技术与应用, 2011, 26(4): 450-456.