Land use and land cover change in Inner Mongolia - understanding the effects of China's re-vegetation programs

Abstract During the past decades, overuse of land resources has increasingly contributed to environmental crises in China. To mitigate wide-spread land degradation, actions have been taken to maintain and restore ecologically valuable landscapes such as natural forests. However, the effects of the various vegetation protection policies that have been implemented in China since the late 1990′s still remain largely unknown. In this paper, we therefore focus on mapping land use and land cover change (LULCC) in Inner Mongolia, one of the key regions targeted by Chinese ecological restoration programs. We used 250-m MODIS time series and a random forest classification approach to generate annual probabilities for each land cover class between 2000 and 2014. We then applied a trajectory-based change detection approach based on a modified version of the Landsat-based detection of trends in disturbance and recovery (LandTrendr) algorithm to the probability time series and mapped land cover change trajectories. We found that our trajectory-based approach achieved high accuracies (overall accuracy 0.95 ± 0.02). It provides spatial-temporal land change maps that allow a land-use related interpretation of change patterns. Our change maps show that i) forest loss decreased rapidly after 2000 (from 15,717 ± 1770 ha in 2001 to 1313 ± 165 ha in 2014) and forest gain (190,645 ± 28,352 ha during 2001–2014) occurred in the ecological program zones, leading to a net forest increase in Inner Mongolia, and ii) cropland retirement (212,979 ± 54,939 ha during 2001–2014) mostly occurred at the early stage of ecological programs and mainly concentrated in drier environments and steep terrain. Overall, land cover mapping and trajectory-based land use analyses allowed a consistent characterization of LULCC over large areas, which is crucial for gaining a better understanding of environmental changes in the light of rapidly changing environmental policies and governance regimes in China.

[1]  M. Ridd,et al.  A Comparison of Four Algorithms for Change Detection in an Urban Environment , 1998 .

[2]  S. Rozelle,et al.  Grain for Green: Cost-Effectiveness and Sustainability of China’s Conservation Set-Aside Program , 2005, Land Economics.

[3]  Cornelius Senf,et al.  Characterizing spectral-temporal patterns of defoliator and bark beetle disturbances using Landsat time series , 2015 .

[4]  Zhibao Dong,et al.  Has the Three Norths Forest Shelterbelt Program solved the desertification and dust storm problems in arid and semiarid China , 2010 .

[5]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[6]  Rasim Latifovic,et al.  Development and assessment of a 250 m spatial resolution MODIS annual land cover time series (2000–2011) for the forest region of Canada derived from change-based updating , 2014 .

[7]  Toru M. Nakamura,et al.  Land degradation of abandoned croplands in the Xilingol steppe region, Inner Mongolia, China , 2011, Grassland science.

[8]  A-Xing Zhu,et al.  Evaluating forest policy implementation effectiveness with a cross-scale remote sensing analysis in a priority conservation area of Southwest China , 2014 .

[9]  Z. Jia,et al.  Assessing effects of afforestation projects in China , 2010, Nature.

[10]  M. Herold,et al.  Tracking disturbance-regrowth dynamics in tropical forests using structural change detection and Landsat time series , 2015 .

[11]  H. Tian,et al.  Spatial and temporal patterns of China's cropland during 1990¿2000: An analysis based on Landsat TM data , 2005 .

[12]  S. Goetz,et al.  Radiometric rectification - Toward a common radiometric response among multidate, multisensor images , 1991 .

[13]  Jennifer N. Hird,et al.  Noise reduction of NDVI time series: An empirical comparison of selected techniques , 2009 .

[14]  Lu Li,et al.  Use of multi-temporal Landsat images for analyzing forest transition in relation to socioeconomic factors and the environment , 2011, Int. J. Appl. Earth Obs. Geoinformation.

[15]  J. Hill,et al.  Land Transformation Processes in NE China: Tracking Trade-Offs in Ecosystem Services Across Several Decades with Landsat-TM/ETM+ time Series , 2014 .

[16]  Christiane Schmullius,et al.  Assessing effects of temporal compositing and varying observation periods for large-area land-cover mapping in semi-arid ecosystems: Implications for global monitoring , 2011 .

[17]  P. Sen.  Estimates of the Regression Coefficient Based on Kendall's Tau , 1968 .

[18]  M. Pérez,et al.  Prospects for Reduced Impact Logging in Central African logging concessions , 2008 .

[19]  C. Woodcock,et al.  Making better use of accuracy data in land change studies: Estimating accuracy and area and quantifying uncertainty using stratified estimation , 2013 .

[20]  William B. Meyer,et al.  HUMAN POPULATION GROWTH AND GLOBAL LAND-USE/COVER CHANGE , 1992 .

[21]  Shixiong Cao,et al.  Why large-scale afforestation efforts in China have failed to solve the desertification problem. , 2008, Environmental science & technology.

[22]  Ranga B. Myneni,et al.  Response of vegetation activity dynamic to climatic change and ecological restoration programs in Inner Mongolia from 2000 to 2012 , 2015 .

[23]  Ranjeet John,et al.  Land cover/land use change in semi-arid Inner Mongolia: 1992–2004 , 2009 .

[24]  Gregory P. Asner,et al.  Ecosystems and land use change , 2004 .

[25]  Dirk Pflugmacher,et al.  Remote Sensing How Normalized Difference Vegetation Index (ndvi) Trends from Advanced Very High Resolution Radiometer (avhrr) and Système Probatoire D'observation De La Terre Vegetation (spot Vgt) Time Series Differ in Agricultural Areas: an Inner Mongolian Case Study , 2012 .

[26]  H. B. Mann.  Nonparametric Tests Against Trend , 1945 .

[27]  T. Mitchell Aide,et al.  A scalable approach to mapping annual land cover at 250 m using MODIS time series data: A case study in the Dry Chaco ecoregion of South America , 2010 .

[28]  Decheng Zhou,et al.  The Grain for Green Project induced land cover change in the Loess Plateau: A case study with Ansai County, Shanxi Province, China , 2012 .

[29]  Jianguo Liu,et al.  Ecological and socioeconomic effects of China's policies for ecosystem services , 2008, Proceedings of the National Academy of Sciences.

[30]  Eric F. Lambin,et al.  Land-use and land-cover change : local processes and global impacts , 2010 .

[31]  W. Cohen,et al.  Using Landsat-derived disturbance history (1972-2010) to predict current forest structure , 2012 .

[32]  Martin Brandt,et al.  Quantifying the effectiveness of ecological restoration projects on long-term vegetation dynamics in the karst regions of Southwest China , 2017, Int. J. Appl. Earth Obs. Geoinformation.

[33]  Rob J Hyndman,et al.  Detecting trend and seasonal changes in satellite image time series , 2010 .

[34]  Xiaodong Chen,et al.  Sustainability of Forests Created by China's Sloping Land Conversion Program: A comparison among three sites in Anhui, Hubei and Shanxi , 2014 .

[35]  Patrick Hostert,et al.  Mapping the extent of abandoned farmland in Central and Eastern Europe using MODIS time series satellite data , 2013 .

[36]  J. Tao,et al.  Analysis of forest fires in Northeast China from 2003 to 2011 , 2013 .

[37]  Michael A. Wulder,et al.  Opening the archive: How free data has enabled the science and monitoring promise of Landsat , 2012 .

[38]  Zhiqiang Yang,et al.  Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr — Temporal segmentation algorithms , 2010 .

[39]  Xubin Pan,et al.  Combating desertification in China: Past, present and future , 2013 .

[40]  R. DeFries,et al.  Observing and Monitoring Land Use and Land Cover Change , 2013 .

[41]  T. Mitchell Aide,et al.  Land change for all municipalities in Latin America and the Caribbean assessed from 250-m MODIS imagery (2001–2010) , 2012 .

[42]  Kiyan Sorgog,et al.  Influence of Agricultural Activities on Grassland Arthropods in Inner Mongolia , 2012 .

[43]  S. Ho,et al.  China's Land Resources and Land Use Change , 2003 .

[44]  Patrick Hostert,et al.  A Pixel-Based Landsat Compositing Algorithm for Large Area Land Cover Mapping , 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[45]  Per Jönsson,et al.  TIMESAT - a program for analyzing time-series of satellite sensor data , 2004, Comput. Geosci..

[46]  Geli Zhang,et al.  Effectiveness of ecological restoration projects in Horqin Sandy Land, China based on SPOT-VGT NDVI data , 2012 .

[47]  Matthias Drusch,et al.  Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services , 2012 .

[48]  Jing Wang,et al.  Land-use changes and policy dimension driving forces in China : present, trend and future , 2012 .

[49]  Conghe Song,et al.  Consistent classification of image time series with automatic adaptive signature generalization , 2013 .

[50]  Giles M. Foody,et al.  Good practices for estimating area and assessing accuracy of land change , 2014 .

[51]  E. Lambin,et al.  Dynamics of Land-Use and Land-Cover Change in Tropical Regions , 2003 .

[52]  S. Carpenter,et al.  Global Consequences of Land Use , 2005, Science.

[53]  Jiyuan Liu,et al.  Spatiotemporal characteristics, patterns, and causes of land-use changes in China since the late 1980s , 2014, Journal of Geographical Sciences.

[54]  Dirk Pflugmacher,et al.  Mapping Annual Land Use and Land Cover Changes Using MODIS Time Series , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[55]  Andy Liaw,et al.  Classification and Regression by randomForest , 2007 .

[56]  C. Ding.  Land policy reform in China: assessment and prospects , 2003 .

[57]  Wang Junbang.  Impacts of Cropland Transformation on Agricultural Production under Urbanization and Grain for Green Project in China , 2012 .

[58]  M. Hansen,et al.  Regional-scale boreal forest cover and change mapping using Landsat data composites for European Russia , 2011 .

[59]  Patrick Hostert,et al.  Rapid land use change after socio-economic disturbances: the collapse of the Soviet Union versus Chernobyl , 2011 .

[60]  Scott Rozelle,et al.  Grain for Green versus Grain : Conflict between Food Security and Conservation Set-Aside in China , 2006 .

[61]  P. Verburg,et al.  Policy reform and agricultural land abandonment in the EU , 2013 .

[62]  Qiang Liu,et al.  Synthesis of China's land use in the past 300 years , 2013 .

[63]  Thomas Udelhoven,et al.  TimeStats: A Software Tool for the Retrieval of Temporal Patterns From Global Satellite Archives , 2011, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[64]  G. Shao,et al.  China's Forest Policy for the 21st Century , 2000, Science.

[65]  P. Reidsma,et al.  Causal chains, policy trade offs and sustainability: Analysing land (mis)use in seven countries in the South , 2014 .

[66]  Guangyu Wang,et al.  China's Forestry Reforms , 2007, Science.

[67]  Damien Sulla-Menashe,et al.  Detecting forest disturbance in the Pacific Northwest from MODIS time series using temporal segmentation , 2014 .

[68]  Patrick Hostert,et al.  Cross-border comparison of land cover and landscape pattern in Eastern Europe using a hybrid classification technique , 2006 .

[69]  J. Barsimantov,et al.  Forest cover change and land tenure change in Mexico’s avocado region: Is community forestry related to reduced deforestation for high value crops? , 2012 .

[70]  C. W. Thornthwaite.  THE WATER BALANCE , 1955 .

[71]  J. Wickham,et al.  Accuracy assessment of NLCD 2006 land cover and impervious surface , 2013 .

[72]  Haihua Shen,et al.  Rapid loss of lakes on the Mongolian Plateau , 2015, Proceedings of the National Academy of Sciences.

[73]  C. Song,et al.  Impacts of Afforestation, Deforestation, and Reforestation on Forest Cover in China from 1949 to 2003 , 2006 .

[74]  C. Woodcock,et al.  Continuous change detection and classification of land cover using all available Landsat data , 2014 .

[75]  Dirk Pflugmacher,et al.  Cross-border forest disturbance and the role of natural rubber in mainland Southeast Asia using annual Landsat time series , 2015 .