留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

Did Ecological Engineering Projects Have a Significant Effect on Large-scale Vegetation Restoration in Beijing-Tianjin Sand Source Region, China? A Remote Sensing Approach

LI Xiaosong WANG Hongyan ZHOU Shufang SUN Bin GAO Zhihai

LI Xiaosong, WANG Hongyan, ZHOU Shufang, SUN Bin, GAO Zhihai. Did Ecological Engineering Projects Have a Significant Effect on Large-scale Vegetation Restoration in Beijing-Tianjin Sand Source Region, China? A Remote Sensing Approach[J]. 中国地理科学, 2016, 26(2): 216-228. doi: 10.1007/s11769-016-0801-6
引用本文: LI Xiaosong, WANG Hongyan, ZHOU Shufang, SUN Bin, GAO Zhihai. Did Ecological Engineering Projects Have a Significant Effect on Large-scale Vegetation Restoration in Beijing-Tianjin Sand Source Region, China? A Remote Sensing Approach[J]. 中国地理科学, 2016, 26(2): 216-228. doi: 10.1007/s11769-016-0801-6
LI Xiaosong, WANG Hongyan, ZHOU Shufang, SUN Bin, GAO Zhihai. Did Ecological Engineering Projects Have a Significant Effect on Large-scale Vegetation Restoration in Beijing-Tianjin Sand Source Region, China? A Remote Sensing Approach[J]. Chinese Geographical Science, 2016, 26(2): 216-228. doi: 10.1007/s11769-016-0801-6
Citation: LI Xiaosong, WANG Hongyan, ZHOU Shufang, SUN Bin, GAO Zhihai. Did Ecological Engineering Projects Have a Significant Effect on Large-scale Vegetation Restoration in Beijing-Tianjin Sand Source Region, China? A Remote Sensing Approach[J]. Chinese Geographical Science, 2016, 26(2): 216-228. doi: 10.1007/s11769-016-0801-6

Did Ecological Engineering Projects Have a Significant Effect on Large-scale Vegetation Restoration in Beijing-Tianjin Sand Source Region, China? A Remote Sensing Approach

doi: 10.1007/s11769-016-0801-6
基金项目: Under the auspices of National Natural Science Foundation of China (No. 41571421), National Science and Technology Major Project of China (No. 21-Y30B05-9001-13/15)
详细信息
    通讯作者:

    GAO Zhihai

Did Ecological Engineering Projects Have a Significant Effect on Large-scale Vegetation Restoration in Beijing-Tianjin Sand Source Region, China? A Remote Sensing Approach

Funds: Under the auspices of National Natural Science Foundation of China (No. 41571421), National Science and Technology Major Project of China (No. 21-Y30B05-9001-13/15)
More Information
    Corresponding author: GAO Zhihai
  • 摘要: Aiming for the restoration of degraded ecosystems, many ecological engineering projects have been implemented around the world. This study investigates the ecological engineering project effectiveness on vegetation restoration in the Beijing-Tianjin Sand Source Region (BTSSR) from 2000 to 2010 based on the rain use efficiency (RUE) trend in relation to the land cover. More than half of the BTSSR experienced a vegetation productivity increase from 2000 to 2010, with the increasing intensity being sensitive to the indicators chosen. A clear tendency towards smaller increasing areas was shown when using the net primary productivity (NPP, 51.30%) instead of the accumulated normalized difference vegetation index (59.30%). The short-term variation in the precipitation and intra-seasonal precipitation distribution had a great impact on the remote sensing-based vegetation productivity. However, the residual trends method (RESTREND) effectively eliminated this correlation, while incorporating the variance and skewness of the precipitation distribution increased the models' ability to explain the vegetation productivity variation. The RUE combined with land cover dynamics was valid for the effectiveness assessment of the ecological engineering projects on vegetation restoration. Particularly, the result based on growing season accumulated normalized difference vegetation index (ΣNDVI) residuals was the most effective, showing that 47.39% of the BTSSR experienced vegetation restoration from 2000 to 2010. The effectiveness of the ecological engineering projects differed for each subarea and was proportional to the strength of ecological engineering. The water erosion region dominated by woodland showed the best restoration, followed by the wind-water erosion crisscross regions, while the wind erosion regions dominated by grassland showed the worst effect. Seriously degraded regions still cover more area in the BTSSR than restored regions. Therefore, more future effort should be put in restoring degraded land.
  • [1] Cao S, 2008. Why large-scale afforestation efforts in China have failed to solve the desertification problem. Environmental Science & Technology, 42(6): 1826-1831.
    [2] Chen Y, Yang K, He J et al., 2011. Improving land surface temperature modeling for dry land of China. Journal of Geophysical Research: Atmospheres, 116: D20104. doi:  10.1029/2011JD015921
    [3] de Jong R, de Bruin S, de Wit A et al., 2011. Analysis of monotonic greening and browning trends from global NDVI time-series. Remote Sensing of Environment, 115(2): 692-702. doi:  10.1016/j.rse.2010.10.011
    [4] Du Plessis W, 1999. Linear regression relationships between NDVI, vegetation and rainfall in Etosha National Park, Namibia. Journal of Arid Environments, 42(4): 235-260. doi: 10. 1006/jare.1999.0505
    [5] Fensholt R, Sandholt I, Rasmussen M S et al., 2006. Evaluation of satellite based primary production modelling in the semi-arid Sahel. Remote Sensing of Environment, 105(3): 173-188. doi:  10.1016/j.rse.2006.06.011
    [6] Fensholt R, Rasmussen K, Kaspersen P et al., 2013. Assessing land degradation/recovery in the African Sahel from long-term Earth observation based primary productivity and precipitation relationships. Remote Sensing, 5(2): 664-686. doi:  10.3390/rs5020664
    [7] Herrmann S M, Anyamba A, Tucker C J, 2005. Recent trends in vegetation dynamics in the African Sahel and their relationship to climate. Global Environmental Change, 15(4): 394-404. doi:  10.1016/j.gloenvcha.2005.08.004
    [8] Huang L, Xiao T, Zhao Z et al., 2013. Effects of grassland restoration programs on ecosystems in arid and semiarid China. Journal of Environment Manage, 117: 268-275. doi:  10.1016/j.jenvman.2012.12.04
    [9] Huete A, Didan K, Miura T et al., 2002. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment, 83(1): 195-213. doi:  10.1016/S0034-4257(02)00096-2
    [10] Intergovernmental Panel on Climate Change (IPCC), 2006. IPCC Guidelines for National Greenhouse Gas Inventories. Hayama, Japan: Institute for Global Environmental Strategies.
    [11] Julien Y, Sobrino J A, 2010. Comparison of cloud-reconstruction methods for time series of composite NDVI data. Remote Sensing of Environment, 114(3): 618-625. doi: 10.1016/j.rse. 2009.11.001
    [12] Kendall M G, 1938. A new measure of rank correlation. Biometrika, 30(1/2): 81-93.
    [13] Liu J, Li S, Ouyang Z et al., 2008. Ecological and socioeconomic effects of China's policies for ecosystem services. Proceedings of the National Academy of Sciences, 105(28): 9477-9482. doi:  10.1073/pnas.0706436105
    [14] Long Huiling, Li Xiaobing, Wang Hong et al., 2010. Net primary productivity (NPP) of grassland ecosystem and its relationship with climate in Inner Mongolia. Acta Ecologica Sinica, 30(5): 1367-1378. (in Chinese)
    [15] Ludwig J A, Bastin G N, Chewings V H et al., 2007. Leakiness: a new index for monitoring the health of arid and semiarid landscapes using remotely sensed vegetation cover and elevation data. Ecological Indicators, 7(2): 442-454. doi: 10.1016/j. ecolind.2006.05.001
    [16] Ma Q, 2004. Appraisal of tree planting options to control desertification: experiences from Three-North Shelterbelt Programme. International Forestry Review, 6(3-4): 327-334. doi:  10.1505/ifor.6.3.327.59972
    [17] Mao Dehua, Wang Zongming, Wu Changshan et al., 2014. Examining forest net primary productivity dynamics and driving forces in northeastern china during 1982-2010. Chinese Geographical Science, 24(6): 631-646. doi:  10.1007/s11769-014-0662-9
    [18] Piao S L, Ciais P, Huang Y et al., 2010. The impacts of climate change on water resources and agriculture in China. Nature, 467: 43-51. doi:  10.1038/nature09364
    [19] Potter C S, Randerson J T, Field C B et al., 1993. Terrestrial ecosystem production: a process model based on global satellite and surface data. Global Biogeochemical Cycles, 7(4): 811-841. doi:  10.1029/93GB02725
    [20] Prince S D, 1991. Satellite remote-sensing of primary production: comparison of results for Sahelian grasslands from 1981 to 1988. International Journal of Remote Sensing, 12(6): 1301-1311. doi:  10.1080/01431169108929728
    [21] Sen P K, 1968. Estimates of the regression coefficient based on Kendall's tau. Journal of the American Statistical Association, 63(324): 1379-1389. doi:  10.1080/01621459.1968.10480934
    [22] Stokes A, Sotir R, Chen W et al., 2010. Soil bio-and eco-engineering in China: past experience and future priorities preface. Ecological Engineering, 36(3): 247-257. doi:  10.1016/j.ecoleng.2009.07.008
    [23] Topaloglu F, 2006. Regional trend detection of Turkish river flows. Nordic Hydrology, 37: 165-182.
    [24] Tucker C J, Dregne H E, Newcomb W W, 1991. Expansion and contraction of the Sahara Desert from 1980 to 1990. Science, 253(5017): 299-301. doi:  10.1126/science.253.5017.299
    [25] Tucker C J, Slayback D A, Pinzon J E et al., 2001. Higher northern latitude normalized difference vegetation index and growing season trends from 1982 to 1999. International Journal of Biometeorology, 45(4): 184-190. doi:  10.1007/s00484-001-0109-8
    [26] Wang G, Innes J L, Lei J et al., 2007. China's forestry reforms. Science, 318(5856): 1556. doi:  10.1126/science.1147247
    [27] Wang X M, Zhang C X, Hasi E et al., 2010. Has the Three Norths Forest Shelterbelt Program solved the desertification and dust storm problems in arid and semiarid China? Journal of Arid Environments, 74(1): 13-22. doi: 10.1016/j.jaridenv.2009.08. 001
    [28] Wessels K, Prince S D, Malherbe J et al., 2007. Can human-induced land degradation be distinguished from the effects of rainfall variability? A case study in South Africa. Journal of Arid Environments, 68(2): 271-297. doi: 10.1016/j.jaridenv. 2006.05.015
    [29] Wu Bo, Li Xiaosong, Liu Wen et al., 2006. Desertification control regionalization and rehabilitation counter measures of source area of sand and dust endangering Beijing-Tianjin. Scientia Silave Sinicae, 42(10): 65-70. (in Chinese)
    [30] Wu J, Zhao L, Zheng Y et al., 2012. Regional differences in the relationship between climatic factors, vegetation, land surface conditions, and dust weather in China's Beijing-Tianjin Sand Source Region. Natural Hazards, 62(1): 31-44. doi: 10.1007/s 11069-011-0039-7
    [31] Wu Z, Wu J, Liu J et al., 2013. Increasing terrestrial vegetation activity of ecological restoration program in the Beijing-Tianjin Sand Source Region of China. Ecological Engineering, 52: 37-50. doi:  10.1016/j.ecoleng.2012.12.040
    [32] Yang X, Ci L, 2008. Comment on 'Why large-scale afforestation efforts in China have failed to solve the desertification problem'. Environmental Science & Technology, 42(20): 7722-7723.
    [33] Zhang G, Dong J, Xiao X et al., 2012. Effectiveness of ecological restoration projects in Horqin Sandy Land, China based on SPOT-VGT NDVI data. Ecological Engineering, 38(1): 20-29. doi:  10.1016/j.ecoleng.2011.09.005
    [34] Zhang L, Li X, Yuan Q et al., 2014. Object-based approach to national land cover mapping using HJ satellite imagery. Journal of Applied Remote Sensing, 8(1): 083686. doi:  10.1117/1.JRS.8.083686
    [35] Zhang Lei, Wu Bingfang, Li Xiaosong et al., 2014. Classification system of China land cover for carbon budget. Acta Ecologica Sinica, 34(24): 1-8. (in Chinese)
    [36] Zhang T T, Zeng S L, Gao Y et al., 2011. Using hyperspectral vegetation indices as a proxy to monitor soil salinity. Ecological Indicators, 11(6): 1552-1562. doi: 10.1016/j.ecolind.2011. 03.025
    [37] Zhao B, Yan Y, Guo H et al., 2009. Monitoring rapid vegetation succession in estuarine wetland using time series MODIS-based indicators: an application in the Yangtze River Delta area. Ecological Indicators, 9(2): 346-356. doi: 10.1016/j. ecolind.2008.05.009
    [38] Zhao M S, Running S W, 2010. Drought-induced reduction in global terrestrial net primary production from 2000 through 2009. Science, 329: 940-943. doi:  10.1126/science.1192666
    [39] Zhu Wenquan, Pan Yaozhong, Long Zhonghua et al., 2005. Estimating net primary productivity of terrestrial vegetation based on GIS and RS: a case study in Inner Mongolia, China. Journal of Remote Sensing, 9(3): 300-307. (in Chinese)
    [40] Zhu W Q, Pan Y Z, Liu X et al., 2006. Spatio-temporal distribution of net primary productivity along the northeast China transect and its response to climatic change. Journal of Forestry Research, 17(2): 93-98. doi:  10.1007/s11676-006-0022-4
  • [1] Jing PU, Kaishan SONG, Ge LIU, Zhidan WEN, Chong FANG, Junbing HOU, Yunfeng LV.  Differentiation of Algal Blooms and Aquatic Vegetation in Chinese Lakes Using Modified Vegetation Presence Frequency Index Method . Chinese Geographical Science, 2022, 32(5): 792-807. doi: 10.1007/s11769-022-1301-5
    [2] Hu YU, Xiaoyao ZHANG, Yu DENG.  Spatiotemporal Evolution and Influencing Factors of Landscape Ecological Vulnerability in the Three-River-Source National Park Region . Chinese Geographical Science, 2022, 32(5): 852-866. doi: 10.1007/s11769-022-1297-x
    [3] Jinjian LI, Shu WANG, Ningsheng QIN, Xisheng LIU, Liya JIN.  Vegetation Index Reconstruction and Linkage with Drought for the Source Region of the Yangtze River Based on Tree-ring Data . Chinese Geographical Science, 2021, 31(4): 684-695. doi: 10.1007/s11769-021-1217-5
    [4] Chaoqun MA, Yanfen HE.  Spatiotemporal Trends and Ecological Determinants in Population by Elevation in China Since 1990 . Chinese Geographical Science, 2021, 31(2): 248-260. doi: 10.1007/s11769-021-1188-6
    [5] Xiaohui HE, Yipin YU, Zepeng CUI, Tian HE.  Climate Change and Ecological Projects Jointly Promote Vegetation Restoration in Three-River Source Region of China . Chinese Geographical Science, 2021, 31(6): 1108-1122. doi: 10.1007/s11769-021-1245-1
    [6] Bo CAO, Xiaole KONG, Yixuan WANG, Hang LIU, Hongwei PEI, Yan-Jun SHEN.  Response of Vegetation Cover Change to Drought at Different Time-scales in the Beijing-Tianjin Sandstorm Source Region, China . Chinese Geographical Science, 2021, 31(3): 491-505. doi: 10.1007/s11769-021-1206-8
    [7] WANG Rui, DONG Zhibao, ZHOU Zhengchao.  Different Responses of Vegetation to Frozen Ground Degradation in the Source Region of the Yellow River from 1980 to 2018 . Chinese Geographical Science, 2020, 30(4): 557-571. doi: 10.1007/s11769-020-1135-y
    [8] LIU Yuanxin, LYU Yihe, BAI Yingfei, ZHANG Buyun, TONG Xiaolin.  Vegetation Mapping for Regional Ecological Research and Management: A Case of the Loess Plateau in China . Chinese Geographical Science, 2020, 30(3): 410-426. doi: 10.1007/s11769-020-1120-5
    [9] QU Lulu, HUANG Yunxin, YANG Lingfan, LI Yurui.  Vegetation Restoration in Response to Climatic and Anthropogenic Changes in the Loess Plateau, China . Chinese Geographical Science, 2020, 30(1): 89-100. doi: 10.1007/s11769-020-1093-4
    [10] WANG Liyan, ANNA Herzberger, ZHANG Liyun, XIAO Yi, WANG Yaqing, XIAO Yang, LIU Jianguo, OUYANG Zhiyun.  Spatial and Temporal Changes of Arable Land Driven by Urbanization and Ecological Restoration in China . Chinese Geographical Science, 2019, 20(5): 809-819. doi: 10.1007/s11769-018-0983-1
    [11] ZHOU Jian, ZHANG Fengrong, XU Yan, GAO Yang, XIE Zhen.  Evaluation of Land Reclamation and Implications of Ecological Restoration for Agro-pastoral Ecotone:Case Study of Horqin Left Back Banner in China . Chinese Geographical Science, 2017, 27(5): 772-783. doi: 10.1007/s11769-017-0907-5
    [12] GONG Li, LIU Guohua, WANG Meng, YE Xin, WANG Hao, LI Zongshan.  Effects of Vegetation Restoration on Soil Organic Carbon in China: A Meta-analysis . Chinese Geographical Science, 2017, 27(2): 188-200. doi: 10.1007/s11769-017-0858-x
    [13] HU Chanjuan, LIU Guohua, FU Bojie, CHEN Liding, LYU Yihe, GUO Lei.  Soil Carbon Stock and Flux in Plantation Forest and Grassland Ecosystems in Loess Plateau, China . Chinese Geographical Science, 2014, 0(4): 423-435. doi: 10.1007/s11769-014-0700-7
    [14] WEN Bolong, LIU Xingtu, LI Xiujun, et al.  Restoration and Rational Use of Degraded Saline Reed Wetlands:A Case Study in Western Songnen Plain, China . Chinese Geographical Science, 2012, 22(2): 167-177.
    [15] CHEN Liding, QI Xin, ZHANG Xinyu, LI Qi, ZHANG Yanyan.  Effect of Agricultural Land Use Changes on Soil Nutrient Use Efficiency in an Agricultural Area, Beijing, China . Chinese Geographical Science, 2011, 21(4): 392-402.
    [16] YIN Kai, ZHAO Qianjun, LI Xuanqi, CUI Shenghui, HUA Lizhong, LIN Tao.  A New Carbon and Oxygen Balance Model Based on Ecological Service of Urban Vegetation . Chinese Geographical Science, 2010, 20(2): 144-151. doi: 10.1007/s11769-010-0144-7
    [17] ZONG Yueguang, YANG Wei, MA Qiang, XUE Song.  Cassini Growth of Population Between Two Metropolitan Cities——A Case Study of Beijing-Tianjin Region, China . Chinese Geographical Science, 2009, 19(3): 203-210. doi: 10.1007/s11769-009-0203-0
    [18] WANG Xu-gao, LI Xiu-zhen, HE Hong S, HU Yuan-man.  ECOLOGICAL RESTORATION:OUR HOPE FOR THE FUTURE? . Chinese Geographical Science, 2004, 14(4): 361-367.
    [19] 张佳华, 孔昭宸.  STUDY ON VEGETATION AND CLIMATE CHANGES IN BEIJING REGION SINCE LATE PLEISTOCENE . Chinese Geographical Science, 1999, 9(3): 243-249.
    [20] 胡兆量, Francis Yee, George Chusheng Lin.  POPULATION GROWTH IN BEIJING:TRENDS AND COUNTERMEASURES . Chinese Geographical Science, 1991, 1(3): 212-220.
  • 加载中
计量
  • 文章访问数:  326
  • HTML全文浏览量:  20
  • PDF下载量:  1051
  • 被引次数: 0
出版历程
  • 收稿日期:  2015-03-24
  • 修回日期:  2015-05-21
  • 刊出日期:  2016-02-27

Did Ecological Engineering Projects Have a Significant Effect on Large-scale Vegetation Restoration in Beijing-Tianjin Sand Source Region, China? A Remote Sensing Approach

doi: 10.1007/s11769-016-0801-6
    基金项目:  Under the auspices of National Natural Science Foundation of China (No. 41571421), National Science and Technology Major Project of China (No. 21-Y30B05-9001-13/15)
    通讯作者: GAO Zhihai

摘要: Aiming for the restoration of degraded ecosystems, many ecological engineering projects have been implemented around the world. This study investigates the ecological engineering project effectiveness on vegetation restoration in the Beijing-Tianjin Sand Source Region (BTSSR) from 2000 to 2010 based on the rain use efficiency (RUE) trend in relation to the land cover. More than half of the BTSSR experienced a vegetation productivity increase from 2000 to 2010, with the increasing intensity being sensitive to the indicators chosen. A clear tendency towards smaller increasing areas was shown when using the net primary productivity (NPP, 51.30%) instead of the accumulated normalized difference vegetation index (59.30%). The short-term variation in the precipitation and intra-seasonal precipitation distribution had a great impact on the remote sensing-based vegetation productivity. However, the residual trends method (RESTREND) effectively eliminated this correlation, while incorporating the variance and skewness of the precipitation distribution increased the models' ability to explain the vegetation productivity variation. The RUE combined with land cover dynamics was valid for the effectiveness assessment of the ecological engineering projects on vegetation restoration. Particularly, the result based on growing season accumulated normalized difference vegetation index (ΣNDVI) residuals was the most effective, showing that 47.39% of the BTSSR experienced vegetation restoration from 2000 to 2010. The effectiveness of the ecological engineering projects differed for each subarea and was proportional to the strength of ecological engineering. The water erosion region dominated by woodland showed the best restoration, followed by the wind-water erosion crisscross regions, while the wind erosion regions dominated by grassland showed the worst effect. Seriously degraded regions still cover more area in the BTSSR than restored regions. Therefore, more future effort should be put in restoring degraded land.

English Abstract

LI Xiaosong, WANG Hongyan, ZHOU Shufang, SUN Bin, GAO Zhihai. Did Ecological Engineering Projects Have a Significant Effect on Large-scale Vegetation Restoration in Beijing-Tianjin Sand Source Region, China? A Remote Sensing Approach[J]. 中国地理科学, 2016, 26(2): 216-228. doi: 10.1007/s11769-016-0801-6
引用本文: LI Xiaosong, WANG Hongyan, ZHOU Shufang, SUN Bin, GAO Zhihai. Did Ecological Engineering Projects Have a Significant Effect on Large-scale Vegetation Restoration in Beijing-Tianjin Sand Source Region, China? A Remote Sensing Approach[J]. 中国地理科学, 2016, 26(2): 216-228. doi: 10.1007/s11769-016-0801-6
LI Xiaosong, WANG Hongyan, ZHOU Shufang, SUN Bin, GAO Zhihai. Did Ecological Engineering Projects Have a Significant Effect on Large-scale Vegetation Restoration in Beijing-Tianjin Sand Source Region, China? A Remote Sensing Approach[J]. Chinese Geographical Science, 2016, 26(2): 216-228. doi: 10.1007/s11769-016-0801-6
Citation: LI Xiaosong, WANG Hongyan, ZHOU Shufang, SUN Bin, GAO Zhihai. Did Ecological Engineering Projects Have a Significant Effect on Large-scale Vegetation Restoration in Beijing-Tianjin Sand Source Region, China? A Remote Sensing Approach[J]. Chinese Geographical Science, 2016, 26(2): 216-228. doi: 10.1007/s11769-016-0801-6
参考文献 (40)

目录

    /

    返回文章
    返回