Analysis of Changes in Vegetation Carbon Storage and Net Primary Productivity as Influenced by Land-Cover Change in Inner Mongolia, China

Exploring the influence of vegetation carbon stocks over land-cover change and the relationship between land-cover change and net primary production (NPP) is of great practical importance for achieving China’s carbon neutrality target. Therefore, this paper analyses the spatio-temporal distribution of land-cover change and NPP change in Inner Mongolia from 2000 to 2020 and explores the vegetation carbon stock change caused by land-cover change, the relationship between land cover and NPP, and the relationship between land-cover change and NPP change. The results show that the main land-cover change in Inner Mongolia during 2000–2020 was the conversion from other land-cover types to grassland, with the conversion of bare land to grassland from 2000 to 2010 covering an area of 20,634.87 km2. During the period of 2000–2020, the high values of NPP were mainly located in northeastern Inner Mongolia, and the low values were mainly distributed in southwestern Inner Mongolia. The total carbon storage changes in vegetation affected by land-cover change during 2000–2010 and 2010–2020 were 10,736,986.11 t and 3,894,272.41 t. The mean values of NPP for different land covers were, in descending order, forest > cultivated land > wetland > grassland > artificial surfaces > shrubland > water bodies > bare land. Between 2000 and 2010, the change in land-cover type to water bodies was the main cause of the decrease in NPP, and the increase in NPP was mainly due to the conversion of other land-cover types to cultivated land, forest, and grassland. The implementation of appropriate conservation and management measures (e.g., the construction of forest and grass ecological protection), planting, and the protection of high-vegetation carbon storage plants and other means can improve the level of vegetation carbon sequestration and protect the ecological environment of Inner Mongolia.

[1]  Jianping Wu,et al.  Evaluation of Vegetation Indexes and Green-Up Date Extraction Methods on the Tibetan Plateau , 2022, Remote. Sens..

[2]  D. Hou,et al.  Analysis of carbon emissions from land cover change during 2000 to 2020 in Shandong Province, China , 2022, Scientific Reports.

[3]  W. Liu,et al.  Study on the Structural Properties of an Ecospatial Network in Inner Mongolia and Its Relationship with NPP , 2022, Applied Sciences.

[4]  Li Pan,et al.  Mapping the Northern Limit of Double Cropping Using a Phenology-Based Algorithm and Google Earth Engine , 2022, Remote. Sens..

[5]  H. Xing,et al.  Spatial and temporal changes analysis of air quality before and after the COVID-19 in Shandong Province, China , 2022, Earth Science Informatics.

[6]  Y. Zhai,et al.  Spatiotemporal Dynamics of Vegetation Net Primary Productivity and Its Response to Climate Change in Inner Mongolia from 2002 to 2019 , 2021, Sustainability.

[7]  Anzhou Zhao,et al.  Analysis of the time-lag effects of climate factors on grassland productivity in Inner Mongolia , 2021 .

[8]  Damien Arvor,et al.  Towards user-adaptive remote sensing: Knowledge-driven automatic classification of Sentinel-2 time series , 2021 .

[9]  G. Foody,et al.  Monitoring high spatiotemporal water dynamics by fusing MODIS, Landsat, water occurrence data and DEM , 2021, Remote Sensing of Environment.

[10]  J. Niu,et al.  Carbon footprint and carbon emission intensity of grassland wind farms in Inner Mongolia , 2021 .

[11]  Hanfa Xing,et al.  Yearly and Daily Relationship Assessment between Air Pollution and Early-Stage COVID-19 Incidence: Evidence from 231 Countries and Regions , 2021, ISPRS Int. J. Geo Inf..

[12]  Fengshuo Yang,et al.  A Long-Term Analysis of Spatiotemporal Change and Driving Factors on Poyang Lake during 1987-2019 , 2021 .

[13]  Ronghai Hu,et al.  Grassland type-dependent spatiotemporal characteristics of productivity in Inner Mongolia and its response to climate factors , 2021, Science of The Total Environment.

[14]  Weichao Zhang,et al.  The level, distribution and source of artificial radionuclides in surface soil from Inner Mongolia, China. , 2021, Journal of environmental radioactivity.

[15]  Michael E. Schaepman,et al.  Mapping functional diversity using individual tree-based morphological and physiological traits in a subtropical forest , 2021, Remote Sensing of Environment.

[16]  C. Peng,et al.  Effects of Land Cover Changes on Net Primary Productivity in the Terrestrial Ecosystems of China from 2001 to 2012 , 2020, Land.

[17]  H. Haberl,et al.  Does agricultural trade reduce pressure on land ecosystems? Decomposing drivers of the embodied human appropriation of net primary production , 2020 .

[18]  Hongyi Li,et al.  Monitoring high-altitude river ice distribution at the basin scale in the northeastern Tibetan Plateau from a Landsat time-series spanning 1999–2018 , 2020, Remote Sensing of Environment.

[19]  Xin Ma,et al.  Low carbon roadmap of residential building sector in China: Historical mitigation and prospective peak , 2020 .

[20]  Zhongfei Chen,et al.  Have traffic restrictions improved air quality? A shock from COVID-19 , 2020, Journal of Cleaner Production.

[21]  J. Niu,et al.  Ecology and sustainability of the Inner Mongolian Grassland: Looking back and moving forward , 2020, Landscape Ecology.

[22]  Wenbin Wu,et al.  Global cropland intensification surpassed expansion between 2000 and 2010: A spatio-temporal analysis based on GlobeLand30. , 2020, The Science of the total environment.

[23]  Deqing Yu,et al.  Spatial relationship between land-use/land-cover change and land surface temperature in the Dongting Lake area, China , 2020, Scientific Reports.

[24]  Ruren Li,et al.  Can more carbon be captured by grasslands? A case study of Inner Mongolia, China. , 2020, The Science of the total environment.

[25]  A. Gil,et al.  Mapping and assessing land cover/land use and aboveground carbon stocks rapid changes in small oceanic islands' terrestrial ecosystems: A case study of Madeira Island, Portugal (2009–2011) , 2020 .

[26]  Junlong Huang,et al.  Linking climate change and socioeconomic development to urban land use simulation: Analysis of their concurrent effects on carbon storage , 2020 .

[27]  Yishao Shi,et al.  Spatio-Temporal Variation Characteristics and Driving Forces of Farmland Shrinkage in Four Metropolises in East Asia , 2020, Sustainability.

[28]  张筠,张春华,张安定,方美红,吴孟泉,林哲,张奕昂,宋晓林 Zhang Jun Relative effects of hydrothermal fluctuation and land cover changes on vegetation net primary productivity in Northeast China , 2020 .

[29]  Weimin Ju,et al.  Vegetation structural change since 1981 significantly enhanced the terrestrial carbon sink , 2019, Nature Communications.

[30]  Guishan Yang,et al.  Impact of land use change on multiple ecosystem services in the rapidly urbanizing Kunshan City of China: Past trajectories and future projections , 2019, Land Use Policy.

[31]  Yongjiu Feng,et al.  GlobeLand30 maps show four times larger gross than net land change from 2000 to 2010 in Asia , 2019, Int. J. Appl. Earth Obs. Geoinformation.

[32]  X. Chuai,et al.  Multiangle land use-linked carbon balance examination in Nanjing City, China , 2019, Land Use Policy.

[33]  F. Shi,et al.  Realizing low-carbon development in a developing and industrializing region: Impacts of industrial structure change on CO2 emissions in southwest China. , 2019, Journal of environmental management.

[34]  Batunacun,et al.  Assessment of Land-Use and Land-Cover Change in Guangxi, China , 2019, Scientific Reports.

[35]  Ke Wang,et al.  Carbon emissions induced by land-use and land-cover change from 1970 to 2010 in Zhejiang, China. , 2019, The Science of the total environment.

[36]  Zongyao Sha,et al.  Association analysis between spatiotemporal variation of net primary productivity and its driving factors in inner mongolia, china during 1994–2013 , 2017, Ecological Indicators.

[37]  W. Ju,et al.  Dynamics of grassland carbon sequestration and its coupling relation with hydrothermal factor of Inner Mongolia , 2018, Ecological Indicators.

[38]  A. Huete,et al.  A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform , 2018, ISPRS Journal of Photogrammetry and Remote Sensing.

[39]  Jun Li,et al.  Response of net primary production to land use and land cover change in mainland China since the late 1980s. , 2018, The Science of the total environment.

[40]  Z. Niu,et al.  Spatial-temporal dynamics of carbon emissions and carbon sinks in economically developed areas of China: a case study of Guangdong Province , 2018, Scientific Reports.

[41]  Guirui Yu,et al.  Climate change, human impacts, and carbon sequestration in China , 2018, Proceedings of the National Academy of Sciences.

[42]  Meng Liu,et al.  Spatio-Temporal Analysis and Uncertainty of Fractional Vegetation Cover Change over Northern China during 2001-2012 Based on Multiple Vegetation Data Sets , 2018, Remote. Sens..

[43]  Yi Y. Liu,et al.  Land-use and land-cover change carbon emissions between 1901 and 2012 constrained by biomass observations , 2017, Biogeosciences.

[44]  Jun Chen,et al.  Analysis and Applications of GlobeLand30: A Review , 2017, ISPRS Int. J. Geo Inf..

[45]  Bin Liu,et al.  Sectoral energy-carbon nexus and low-carbon policy alternatives: A case study of Ningbo, China , 2017 .

[46]  Yang Liu,et al.  Impact of Land Use Intensity on Ecosystem Services: An Example from the Agro-Pastoral Ecotone of Central Inner Mongolia , 2017 .

[47]  Shufang Tian,et al.  Human Activity Influences on Vegetation Cover Changes in Beijing, China, from 2000 to 2015 , 2017, Remote. Sens..

[48]  Xiangzheng Deng,et al.  What is the main cause of grassland degradation? A case study of grassland ecosystem service in the middle-south Inner Mongolia , 2017 .

[49]  Bing Zhang,et al.  Country-level net primary production distribution and response to drought and land cover change. , 2017, The Science of the total environment.

[50]  J. Thompson,et al.  Carbon emissions from land-use change and management in China between 1990 and 2010 , 2016, Science Advances.

[51]  Erfu Dai,et al.  Analysis of spatio-temporal features of a carbon source/sink and its relationship to climatic factors in the Inner Mongolia grassland ecosystem , 2016, Journal of Geographical Sciences.

[52]  Ke Wang,et al.  S 1 Supplementary Materials : Land Use Changes Induced County-Scale Carbon Consequences in Southeast China 1979 – 2020 , Evidence from Fuyang , Zhejiang Province , 2015 .

[53]  Jun Chen,et al.  The First Comprehensive Accuracy Assessment of GlobeLand30 at a National Level: Methodology and Results , 2015, Remote. Sens..

[54]  Jianlong Li,et al.  Effects of ecological restoration projects on land use and land cover change and its influences on territorial NPP in Xinjiang, China , 2014 .

[55]  Corinne Le Quéré,et al.  Carbon emissions from land use and land-cover change , 2012 .

[56]  R. B. Jackson,et al.  A Large and Persistent Carbon Sink in the World’s Forests , 2011, Science.

[57]  D. D. L. Rosa,et al.  Changes in land cover and vegetation carbon stocks in Andalusia, Southern Spain (1956-2007). , 2011, The Science of the total environment.

[58]  Frédéric Achard,et al.  Improved estimates of net carbon emissions from land cover change in the tropics for the 1990s , 2004 .

[59]  Christopher B. Field,et al.  Combining satellite data and biogeochemical models to estimate global effects of human‐induced land cover change on carbon emissions and primary productivity , 1999 .