[en] Whether China can achieve the United Nations’ Sustainable Development Goals (SDGs) largely depends on the ability of main food-producing areas to cope with multiple land use change challenges. Despite the fact that the Yangtze River basin is one of the key regions for China’s food security, the spatiotemporal dynamics of cropland abandonment and recultivation remain largely unexplored in this region. The present study assesses the evolution of the agricultural system within the Yangtze River basin between 2000 and 2020 by mapping cropland abandonment and recultivation using MODIS time series and multiple land cover products. The results highlight a widespread cropland abandonment process (i.e., 10.5% of the total study area between 2000 and 2020), predominantly in Western Sichuan, Eastern Yunnan, and Central Jiangxi. Although 70% of abandoned cropland is situated in areas with slopes less than 5°, the highest rates of abandonment are in mountainous regions. However, by 2020, 74% of this abandoned cropland had been recultivated at least once, whereas half of the abandoned croplands got recultivated within three years of their initial abandonment. Hence, as this is one of the first studies that unravels the complex interaction between cropland abandonment and recultivation in a spatiotemporal explicit context, it offers (i) scientists a novel methodological framework to assess agricultural land use issues across large geographical entities, and (ii) policy-makers new insights to support the sustainable transition of the agricultural sector.
Long, Yuqiao ; Université de Liège - ULiège > TERRA Research Centre ; State Key Laboratory of Efficient Utilization of Arid and Semi-Arid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
Sun, Jing ; State Key Laboratory of Efficient Utilization of Arid and Semi-Arid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
Colinet, Gilles ; Université de Liège - ULiège > TERRA Research Centre > Echanges Eau - Sol - Plantes
Wu, Wenbin; State Key Laboratory of Efficient Utilization of Arid and Semi-Arid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
Meersmans, Jeroen ; Université de Liège - ULiège > Département GxABT > Echanges Eau - Sol - Plantes
Language :
English
Title :
Mapping the Spatiotemporal Dynamics of Cropland Abandonment and Recultivation across the Yangtze River Basin
Publication date :
15 March 2024
Journal title :
Remote Sensing
eISSN :
2072-4292
Publisher :
MDPI AG
Special issue title :
Cropland Phenology Monitoring Based on Cloud-Computing Platforms
scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.
Bibliography
Foley J.A. Ramankutty N. Brauman K.A. Cassidy E.S. Gerber J.S. Johnston M. Mueller N.D. O’Connell C. Ray D.K. West P.C. et al. Solutions for a cultivated planet Nature 2011 478 337 342 10.1038/nature10452
Lambin E.F. Meyfroidt P. Global land use change, economic globalization, and the looming land scarcity Proc. Natl. Acad. Sci. USA 2011 108 3465 3472 10.1073/pnas.1100480108
Chazdon R.L. Lindenmayer D. Guariguata M.R. Crouzeilles R. Rey Benayas J.M. Lazos Chavero E. Fostering natural forest regeneration on former agricultural land through economic and policy interventions Environ. Res. Lett. 2020 15 043002 10.1088/1748-9326/ab79e6
Winkler K. Fuchs R. Rounsevell M. Herold M. Global land use changes are four times greater than previously estimated Nat. Commun. 2021 12 2501 10.1038/s41467-021-22702-2
Ramankutty N. Mehrabi Z. Waha K. Jarvis L. Kremen C. Herrero M. Rieseberg L.H. Trends in Global Agricultural Land Use: Implications for Environmental Health and Food Security Annu. Rev. Plant Biol. 2018 69 789 815 10.1146/annurev-arplant-042817-040256
Potapov P. Turubanova S. Hansen M.C. Tyukavina A. Zalles V. Khan A. Song X.P. Pickens A. Shen Q. Cortez J. Global maps of cropland extent and change show accelerated cropland expansion in the twenty-first century Nature Food 2022 3 19 28 10.1038/s43016-021-00429-z
Estel S. Kuemmerle T. Alcántara C. Levers C. Prishchepov A. Hostert P. Mapping farmland abandonment and recultivation across Europe using MODIS NDVI time series Remote Sens. Environ. 2015 163 312 325 10.1016/j.rse.2015.03.028
Yu Z. Lu C. Historical cropland expansion and abandonment in the continental U.S. during 1850 to 2016 Glob. Ecol. Biogeogr. 2018 27 322 333 10.1111/geb.12697
Yoon H. Kim S. Detecting abandoned farmland using harmonic analysis and machine learning ISPRS J. Photogramm. Remote Sens. 2020 166 201 212 10.1016/j.isprsjprs.2020.05.021
Zhu X. Xiao G. Zhang D. Guo L. Mapping abandoned farmland in China using time series MODIS NDVI Sci. Total Environ. 2021 755 142651 10.1016/j.scitotenv.2020.142651
Díaz G.I. Nahuelhual L. Echeverría C. Marín S. Drivers of land abandonment in Southern Chile and implications for landscape planning Landsc. Urban Plan. 2011 99 207 217 10.1016/j.landurbplan.2010.11.005
Rey Benayas J.M. Martins A. Nicolau J.M. Schulz J.J. Abandonment of agricultural land: An overview of drivers and consequences CABI Rev. 2007 2007 1 14 10.1079/PAVSNNR20072057
Gellrich M. Baur P. Koch B. Zimmermann N.E. Agricultural land abandonment and natural forest re-growth in the Swiss mountains: A spatially explicit economic analysis Agricult. Ecosyst. Environ. 2007 118 93 108 10.1016/j.agee.2006.05.001
Næss J.S. Cavalett O. Cherubini F. The land–energy–water nexus of global bioenergy potentials from abandoned cropland Nat. Sustain. 2021 4 525 536 10.1038/s41893-020-00680-5
Prishchepov A.V. Schierhorn F. Löw F. Unraveling the Diversity of Trajectories and Drivers of Global Agricultural Land Abandonment Land 2021 10 97 10.3390/land10020097
Mottet A. Ladet S. Coqué N. Gibon A. Agricultural land-use change and its drivers in mountain landscapes: A case study in the Pyrenees Agricult. Ecosyst. Environ. 2006 114 296 310 10.1016/j.agee.2005.11.017
Feng Z. Yang Y. Zhang Y. Zhang P. Li Y. Grain-for-green policy and its impacts on grain supply in West China Land Use Policy 2005 22 301 312 10.1016/j.landusepol.2004.05.004
Fischer J. Hartel T. Kuemmerle T. Conservation policy in traditional farming landscapes Conserv. Lett. 2012 5 167 175 10.1111/j.1755-263X.2012.00227.x
Raj Khanal N. Watanabe T. Abandonment of Agricultural Land and Its Consequences Mt. Res. Dev. 2006 26 32 40 10.1659/0276-4741(2006)026[0032:AOALAI]2.0.CO;2
Kuemmerle T. Olofsson P. Chaskovskyy O. Baumann M. Ostapowicz K. Woodcock C.E. Houghton R.A. Hostert P. Keeton W.S. Radeloff V.C. Post-Soviet farmland abandonment, forest recovery, and carbon sequestration in western Ukraine Glob. Chang. Biol. 2011 17 1335 1349 10.1111/j.1365-2486.2010.02333.x
Xie Z. Game E.T. Hobbs R.J. Pannell D.J. Phinn S.R. McDonald-Madden E. Conservation opportunities on uncontested lands Nat. Sustain. 2019 3 9 15 10.1038/s41893-019-0433-9
Wertebach T.M. Holzel N. Kampf I. Yurtaev A. Tupitsin S. Kiehl K. Kamp J. Kleinebecker T. Soil carbon sequestration due to post-Soviet cropland abandonment: Estimates from a large-scale soil organic carbon field inventory Glob. Chang. Biol. 2017 23 3729 3741 10.1111/gcb.13650
Zheng Q. Ha T. Prishchepov A.V. Zeng Y. Yin H. Koh L.P. The neglected role of abandoned cropland in supporting both food security and climate change mitigation Nat. Commun. 2023 14 6083 10.1038/s41467-023-41837-y 37770491
Du Z. Yang J. Ou C. Zhang T. Agricultural Land Abandonment and Retirement Mapping in the Northern China Crop-Pasture Band Using Temporal Consistency Check and Trajectory-Based Change Detection Approach IEEE Trans. Geosci. Remote Sens. 2022 60 1 12 10.1109/TGRS.2021.3121816
Kolecka N. Height of Successional Vegetation Indicates Moment of Agricultural Land Abandonment Remote Sens. 2018 10 1568 10.3390/rs10101568
Bell S.M. Raymond S.J. Yin H. Jiao W. Goll D.S. Ciais P. Olivetti E. Leshyk V.O. Terrer C. Quantifying the recarbonization of post-agricultural landscapes Nat. Commun. 2023 14 2139 10.1038/s41467-023-37907-w
Li L. Pan Y. Zheng R. Liu X. Understanding the spatiotemporal patterns of seasonal, annual, and consecutive farmland abandonment in China with time-series MODIS images during the period 2005–2019 Land Degrad. Dev. 2022 33 1608 1625 10.1002/ldr.4233
Prishchepov A.V. Ponkina E.V. Sun Z. Bavorova M. Yekimovskaja O.A. Revealing the intentions of farmers to recultivate abandoned farmland: A case study of the Buryat Republic in Russia Land Use Policy 2021 107 105513 10.1016/j.landusepol.2021.105513
Alix-Garcia J. Kuemmerle T. Radeloff V.C. Prices, land tenure institutions, and geography: A matching analysis of farmland abandonment in post-socialist Eastern Europe Land Econ. 2012 88 425 443 10.3368/le.88.3.425
Xu D. Deng X. Guo S. Liu S. Labor migration and farmland abandonment in rural China: Empirical results and policy implications J. Environ. Manag. 2019 232 738 750 10.1016/j.jenvman.2018.11.136
Goga T. Feranec J. Bucha T. Rusnák M. Sačkov I. Barka I. Kopecká M. Papčo J. Oťaheľ J. Szatmári D. A review of the application of Remote Sens. data for abandoned agricultural land identification with focus on Central and Eastern Europe Remote Sens. 2019 11 2759 10.3390/rs11232759
Oliphant A.J. Thenkabail P.S. Teluguntla P. Xiong J. Gumma M.K. Congalton R.G. Yadav K. Mapping cropland extent of Southeast and Northeast Asia using multi-year time-series Landsat 30-m data using a random forest classifier on the Google Earth Engine Cloud Int. J. Appl. Earth Observ. Geoinform. 2019 81 110 124 10.1016/j.jag.2018.11.014
Estacio I. Sianipar C.P. Onitsuka K. Basu M. Hoshino S. A statistical model of land use/cover change integrating logistic and linear models: An application to agricultural abandonment Int. J. Appl. Earth Observ. Geoinform. 2023 120 103339 10.1016/j.jag.2023.103339
Huang X. Ziniti B. Torbick N. Assessing conflict driven food security in Rakhine, Myanmar with multisource imagery Land 2019 8 95 10.3390/land8060095
Prishchepov A.V. Radeloff V.C. Dubinin M. Alcantara C. The effect of Landsat ETM/ETM + image acquisition dates on the detection of agricultural land abandonment in Eastern Europe Remote Sens. Environ. 2012 126 195 209 10.1016/j.rse.2012.08.017
Yin H. Brandão A. Buchner J. Helmers D. Iuliano B.G. Kimambo N.E. Lewińska K.E. Razenkova E. Rizayeva A. Rogova N. et al. Monitoring cropland abandonment with Landsat time series Remote Sens. Environ. 2020 246 111873 10.1016/j.rse.2020.111873
Xiao G. Zhu X. Hou C. Xia X. Extraction and analysis of abandoned farmland: A case study of Qingyun and Wudi counties in Shandong Province J. Geogr. Sci. 2019 29 581 597 10.1007/s11442-019-1616-z
Alcantara C. Kuemmerle T. Prishchepov A.V. Radeloff V.C. Mapping abandoned agriculture with multi-temporal MODIS satellite data Remote Sens. Environ. 2012 124 334 347 10.1016/j.rse.2012.05.019
Cao R. Chen Y. Chen J. Zhu X. Shen M. Thick cloud removal in Landsat images based on autoregression of Landsat time-series data Remote Sens. Environ. 2020 249 112001 10.1016/j.rse.2020.112001
Pointereau P. Coulon F. Girard P. Lambotte M. Rio A.D. Analysis of Farmland Abandonment and the Extent and Location of Agricultural Areas that are Actually Abandoned or are in Risk to be Abandoned Dictus Publishing Riga, Latvia 2008
FAO Available online: http://www.fao.org/ag/agn/nutrition/Indicatorsfiles/Agriculture.pdf (accessed on 10 November 2022)
Löw F. Fliemann E. Abdullaev I. Conrad C. Lamers J.P.A. Mapping abandoned agricultural land in Kyzyl-Orda, Kazakhstan using satellite Remote Sensing Appl. Geogr. 2015 62 377 390 10.1016/j.apgeog.2015.05.009
Löw F. Prishchepov A. Waldner F. Dubovyk O. Akramkhanov A. Biradar C. Lamers J. Mapping Cropland Abandonment in the Aral Sea Basin with MODIS Time Series Remote Sens. 2018 10 159 10.3390/rs10020159
Fensholt R. Horion S. Tagesson T. Ehammer A. Grogan K. Tian F. Huber S. Verbesselt J. Prince S.D. Tucker C.J. Assessment of vegetation trends in drylands from time series of earth observation data Remote Sensing Time Series. Remote Sensing and Digital Image Processing Springer Cham, Switzerland 2015 159 182 10.1007/978-3-319-15967-6_8
Han Z. Song W. Spatiotemporal variations in cropland abandonment in the Guizhou–Guangxi karst mountain area, China J. Clean. Prod. 2019 238 117888 10.1016/j.jclepro.2019.117888
Luo K. Moiwo J.P. Rapid monitoring of abandoned farmland and information on regulation achievements of government based on Remote Sens. technology Environ. Sci. Policy 2022 132 91 100 10.1016/j.envsci.2022.02.019
Fritz S. McCallum I. Schill C. Perger C. See L. Schepaschenko D. van der Velde M. Kraxner F. Obersteiner M. Geo-Wiki: An online platform for improving global land cover Environ. Model. Softw. 2012 31 110 123 10.1016/j.envsoft.2011.11.015
Tong X. Brandt M. Hiernaux P. Herrmann S. Rasmussen L.V. Rasmussen K. Tian F. Tagesson T. Zhang W. Fensholt R. The forgotten land use class: Mapping of fallow fields across the Sahel using Sentinel-2 Remote Sens. Environ. 2020 239 111598 10.1016/j.rse.2019.111598
Li C. Xian G. Zhou Q. Pengra B.W. A novel automatic phenology learning (APL) method of training sample selection using multiple datasets for time-series land cover mapping Remote Sens. Environ. 2021 266 112670 10.1016/j.rse.2021.112670
Yan H. Liu F. Qin Y. Doughty R. Xiao X. Tracking the spatio-temporal change of cropping intensity in China during 2000–2015 Environ. Res. Lett. 2019 14 035008 10.1088/1748-9326/aaf9c7
Zhang X. Zhao C. Dong J. Ge Q. Spatio-temporal pattern of cropland abandonment in China from 1992 to 2017: A Meta-analysis Acta Geogr. Sin. 2019 74 411 420 (In Chinese with English abstract) 10.11821/dlxb201903001
Chen W. Zhao H. Li J. Zhu L. Wang Z. Zeng J. Land use transitions and the associated impacts on ecosystem services in the Middle Reaches of the Yangtze River Economic Belt in China based on the geo-informatic Tupu method Sci. Total Environ. 2020 701 134690 10.1016/j.scitotenv.2019.134690
Li B. Chen D. Wu S. Zhou S. Wang T. Chen H. Spatio-temporal assessment of urbanization impacts on ecosystem services: Case study of Nanjing City, China Ecol. Indic. 2016 71 416 427 10.1016/j.ecolind.2016.07.017
Chen H. Tan Y. Xiao W. He T. Xu S. Meng F. Li X. Xiong W. Assessment of continuity and efficiency of complemented cropland use in China for the past 20 years: A perspective of cropland abandonment J. Clean. Prod. 2023 388 135987 10.1016/j.jclepro.2023.135987
Schulte L.A. Dale B.E. Bozzetto S. Liebman M. Souza G.M. Haddad N. Richard T.L. Basso B. Brown R.C. Hilbert J.A. Meeting global challenges with regenerative agriculture producing food and energy Nat. Sustain. 2022 5 384 388 10.1038/s41893-021-00827-y
Liang X. Jin X. Han B. Sun R. Xu W. Li H. He J. Li J. China’s food security situation and key questions in the new era: A perspective of farmland protection J. Geogr. Sci. 2022 32 1001 1019 10.1007/s11442-022-1982-9
Gu F. Zhang Y. Huang M. Yu L. Yan H. Guo R. Zhang L. Zhong X. Yan C. Climate-induced increase in terrestrial carbon storage in the Yangtze River Economic Belt Ecol. Evol. 2021 11 7211 7225 10.1002/ece3.7414
Quan Y. Hutjes R.W. Biemans H. Zhang F. Chen X. Chen X. Patterns and drivers of carbon stock change in ecological restoration regions: A case study of upper Yangtze River Basin, China J. Environ. Manag. 2023 348 119376 10.1016/j.jenvman.2023.119376
Liu D. Chen N. Zhang X. Wang C. Du W. Annual large-scale urban land mapping based on Landsat time series in Google Earth Engine and OpenStreetMap data: A case study in the middle Yangtze River basin ISPRS J. Photogramm. Remote Sens. 2020 159 337 351 10.1016/j.isprsjprs.2019.11.021
Li C. Yao J. Li R. Zhu Y. Yao H. Zhang P. Wei D. Zhao S. Li Y. Wu Y. “3S” Technologies and Application for Dynamic Monitoring Soil and Water Loss in the Yangtze River Basin, China Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 2020 43 1563 1567 10.5194/isprs-archives-XLIII-B3-2020-1563-2020
Jiang L. Wu S. Liu Y. Change analysis on the spatio-temporal patterns of main crop planting in the middle yangtze plain Remote Sens. 2022 14 1141 10.3390/rs14051141
Dong S. Xin L. Li S. Xie H. Zhao Y. Wang X. Li X. Song H. Lu Y. Extent and spatial distribution of terrace abandonment in China J. Geogr. Sci. 2023 33 1361 1376 10.1007/s11442-023-2133-7
Hou D. Meng F. Prishchepov A.V. How is urbanization shaping agricultural land-use? Unraveling the nexus between farmland abandonment and urbanization in China Landsc. Urban Plan. 2021 214 104170 10.1016/j.landurbplan.2021.104170
Zhou Y. Li X. Liu Y. Land use change and driving factors in rural China during the period 1995-2015 Land Use Policy 2020 99 105048 10.1016/j.landusepol.2020.105048
GrĂDinaru S.R. IojĂ C.I. VÂNĂU G.O. Onose D.A. Multi-Dimensionality of Land Transformations: From Definition to Perspectives on Land Abandonment Carpathian J. Earth Environ. Sci. 2020 15 167 177 10.26471/cjees/2020/015/119
He H. Ma Y. Imbalanced Learning The Institute of Electrical and Electronics Engineers, Inc. Piscataway, NJ, USA 2013
Powers D. Evaluation, from precision, recall and F-measure to ROC, informedness, markedness and correlation J. Mach. Learn. Tech. 2011 2 37 63 10.48550/arXiv.2010.16061
Atzberger C. Eilers P.H.C. Evaluating the effectiveness of smoothing algorithms in the absence of ground reference measurements Int. J. Remote Sens. 2011 32 3689 3709 10.1080/01431161003762405
Kong D. Zhang Y. Gu X. Wang D. A robust method for reconstructing global MODIS EVI time series on the Google Earth Engine ISPRS J. Photogramm. Remote Sens. 2019 155 13 24 10.1016/j.isprsjprs.2019.06.014
He S. Shao H. Xian W. Yin Z. You M. Zhong J. Qi J. Monitoring cropland abandonment in hilly areas with Sentinel-1 and Sentinel-2 timeseries Remote Sens. 2022 14 3806 10.3390/rs14153806
Mao W. Lu D. Hou L. Liu X. Yue W. Comparison of Machine-Learning Methods for Urban Land-Use Mapping in Hangzhou City, China Remote Sens. 2020 12 2817 10.3390/rs12172817
Zhao Y. Zhu W. Wei P. Fang P. Zhang X. Yan N. Liu W. Zhao H. Wu Q. Classification of Zambian grasslands using random forest feature importance selection during the optimal phenological period Ecol. Indic. 2022 135 108529 10.1016/j.ecolind.2021.108529
Yang Y. Xiao P. Feng X. Li H. Accuracy assessment of seven global land cover datasets over China ISPRS J. Photogramm. Remote Sens. 2017 125 156 173 10.1016/j.isprsjprs.2017.01.016
Jin Z. Azzari G. You C. Di Tommaso S. Aston S. Burke M. Lobell D.B. Smallholder maize area and yield mapping at national scales with Google Earth Engine Remote Sens. Environ. 2019 228 115 128 10.1016/j.rse.2019.04.016
Tamiminia H. Salehi B. Mahdianpari M. Quackenbush L. Adeli S. Brisco B. Google Earth Engine for geo-big data applications: A meta-analysis and systematic review ISPRS J. Photogramm. Remote Sens. 2020 164 152 170 10.1016/j.isprsjprs.2020.04.001
Ghimire B. Rogan J. Galiano V.R. Panday P. Neeti N. An evaluation of bagging, boosting, and random forests for land-cover classification in Cape Cod, Massachusetts, USA GIScience Remote Sens. 2012 49 623 643 10.2747/1548-1603.49.5.623
Long H.L. Heilig G.K. Wang J. Li X.B. Luo M. Wu X.Q. Zhang M. Land use and soil erosion in the upper reaches of the Yangtze River: Some socio-economic considerations on China’s Grain-for-Green Programme Land Degrad. Dev. 2006 17 589 603 10.1002/ldr.736
Hong C. Prishchepov A.V. Jin X. Zhou Y. Mapping cropland abandonment and distinguishing from intentional afforestation with Landsat time series Int. J. Appl. Earth Observ. Geoinform. 2024 127 103693 10.1016/j.jag.2024.103693
Yang J. Huang X. The 30 m annual land cover dataset and its dynamics in China from 1990 to 2019 Earth System Sci. Data 2021 13 3907 3925 10.5194/essd-13-3907-2021
Prishchepov A.V. Radeloff V.C. Baumann M. Kuemmerle T. Müller D. Effects of institutional changes on land use: Agricultural land abandonment during the transition from state-command to market-driven economies in post-Soviet Eastern Europe Environ. Res. Lett. 2012 7 024021 10.1088/1748-9326/7/2/024021
Jiang Y. He X. Yin X. Chen F. The pattern of abandoned cropland and its productivity potential in China: A four-years continuous study Sci. Total Environ. 2023 870 161928 10.1016/j.scitotenv.2023.161928
Rodrigo-Comino J. Martínez-Hernández C. Iserloh T. Cerda A. Contrasted impact of land abandonment on soil erosion in Mediterranean agriculture fields Pedosphere 2018 28 617 631 10.1016/S1002-0160(17)60441-7
Ustaoglu E. Collier M.J. Farmland abandonment in Europe: An overview of drivers, consequences, and assessment of the sustainability implications Environ. Rev. 2018 26 396 416 10.1139/er-2018-0001
Fayet C.M. Reilly K.H. Van Ham C. Verburg P.H. What is the future of abandoned agricultural lands? A systematic review of alternative trajectories in Europe Land Use Policy 2022 112 105833 10.1016/j.landusepol.2021.105833
Fayet C.M. Reilly K.H. Van Ham C. Verburg P.H. The potential of European abandoned agricultural lands to contribute to the Green Deal objectives: Policy perspectives Environ. Sci. Policy 2022 133 44 53 10.1016/j.envsci.2022.03.007
Zhang M. Li G. He T. Zhai G. Guo A. Chen H. Wu C. Reveal the severe spatial and temporal patterns of abandoned cropland in China over the past 30 years Sci. Total Environ. 2023 857 159591 10.1016/j.scitotenv.2022.159591
Li S. Li X. Sun L. Cao G. Fischer G. Tramberend S. An estimation of the extent of cropland abandonment in mountainous regions of China Land Degrad. Dev. 2018 29 1327 1342 10.1002/ldr.2924
Dara A. Baumann M. Kuemmerle T. Pflugmacher D. Rabe A. Griffiths P. Hölzel N. Kamp J. Freitag M. Hostert P. Mapping the timing of cropland abandonment and recultivation in northern Kazakhstan using annual Landsat time series Remote Sens. Environ. 2018 213 49 60 10.1016/j.rse.2018.05.005
Crawford C.L. Yin H. Radeloff V.C. Wilcove D.S. Rural land abandonment is too ephemeral to provide major benefits for biodiversity and climate Sci. Adv. 2022 8 eabm8999 10.1126/sciadv.abm8999 35613262
Song W. Mapping cropland abandonment in mountainous areas using an annual land-use trajectory approach Sustainability 2019 11 5951 10.3390/su11215951
Chazdon R.L. Broadbent E.N. Rozendaal D.M. Bongers F. Zambrano A.M.A. Aide T.M. Balvanera P. Becknell J.M. Boukili V. Brancalion P.H. Carbon sequestration potential of second-growth forest regeneration in the Latin American tropics Sci. Adv. 2016 2 e1501639 10.1126/sciadv.1501639 27386528
Schwartz N.B. Aide T.M. Graesser J. Grau H.R. Uriarte M. Reversals of reforestation across Latin America limit climate mitigation potential of tropical forests Front. For. Glob. Chang. 2020 3 85 10.3389/ffgc.2020.00085
Nunes S. Oliveira L. Siqueira J. Morton D.C. Souza C.M. Unmasking secondary vegetation dynamics in the Brazilian Amazon Environ. Res. Lett. 2020 15 034057 10.1088/1748-9326/ab76db
Smith C.C. Espírito-Santo F.D. Healey J.R. Young P.J. Lennox G.D. Ferreira J. Barlow J. Secondary forests offset less than 10% of deforestation-mediated carbon emissions in the Brazilian Amazon Glob. Chang. Biol. 2020 26 7006 7020 10.1111/gcb.15352 32969561
Wang X. Shen Y. The effect of China’s agricultural tax abolition on rural families’ incomes and production China Econ. Rev. 2014 29 185 199 10.1016/j.chieco.2014.04.010
Levers C. Schneider M. Prishchepov A.V. Estel S. Kuemmerle T. Spatial variation in determinants of agricultural land abandonment in Europe Sci. Total Environ. 2018 644 95 111 10.1016/j.scitotenv.2018.06.326 29981521
Rigg J. Salamanca A. Phongsiri M. Sripun M. More farmers, less farming? Understanding the truncated agrarian transition in Thailand World Dev. 2018 107 327 337 10.1016/j.worlddev.2018.03.008
Long Y. Wu W. Hu Q. Chen D. Xiang M. Lu M. Yu Q. Spatio-temporal changes in America’s cropland over 2000–2010 Sci. Agric. Sin. 2018 51 1134 1143 (In Chinese with English abstract) 10.3864/j.issn.0578-1752.2018.06.012
Zhang Z. Zinda J.A. Li W. Forest transitions in Chinese villages: Explaining community-level variation under the returning forest to farmland program Land Use Policy 2017 64 245 257 10.1016/j.landusepol.2017.02.016
Long Y. Wu W. Wellens J. Colinet G. Meersmans J. An In-Depth Assessment of the Drivers Changing China’s Crop Production Using an LMDI Decomposition Approach Remote Sens. 2022 14 6399 10.3390/rs14246399
Cai F. Chan K.W. The Global Economic Crisis and Unemployment in China Eurasian Geogr. Econ. 2013 50 513 531 10.2747/1539-7216.50.5.513
Huang J. Zhi H. Huang Z. Rozelle S. Giles J. The Impact of the Global Financial Crisis on Off-farm Employment and Earnings in Rural China World Dev. 2011 39 797 807 10.1016/j.worlddev.2010.09.017
Li T. Wang Y. Liu C. Tu S. Research on Identification of Multiple Cropping Index of Farmland and Regional Optimization Scheme in China Based on NDVI Data Land 2021 10 861 10.3390/land10080861
Liu Z. Liang H. Pu D. Xie F. Zhang E. Zhou Q. How Does the Control of Grain Purchase Price Affect the Sustainability of the National Grain Industry? One Empirical Study from China Sustainability 2020 12 2102 10.3390/su12052102
Zhang X. Hu M. Guo X. Yang H. Zhang Z. Zhang K. Effects of topographic factors on runoff and soil loss in Southwest China Catena 2018 160 394 402 10.1016/j.catena.2017.10.013
Shi T. Li X. Xin L. Xu X. Analysis of Farmland Abandonment at Parcel Level: A Case Study in the Mountainous Area of China Sustainability 2016 8 988 10.3390/su8100988
Subedi Y.R. Kristiansen P. Cacho O. Drivers and consequences of agricultural land abandonment and its reutilisation pathways: A systematic review Environ. Dev. 2022 42 100681 10.1016/j.envdev.2021.100681
Xu J. Wei J. Liu W. Escalating human-wildlife conflict in the Wolong Nature Reserve, China: A dynamic and paradoxical process Ecol. Evol. 2019 9 7273 7283 10.1002/ece3.5299 31380049
Tian D. Xiang Y. Wang B. Li M. Liu Y. Wang J. Li Z. Niu S. Cropland abandonment enhances soil inorganic nitrogen retention and carbon stock in China: A meta-analysis Land Degrad. Dev. 2018 29 3898 3906 10.1002/ldr.3137
Wang C. Li L. Yan Y. Cai Y. Xu D. Wang X. Chen J. Xin X. Effects of cultivation and agricultural abandonment on soil carbon, nitrogen and phosphorus in a meadow steppe in eastern Inner Mongolia Agricult. Ecosyst. Environ. 2021 309 107284 10.1016/j.agee.2020.107284
Xu H. Wang X. Qu Q. Zhai J. Song Y. Qiao L. Liu G. Xue S. Cropland abandonment altered grassland ecosystem carbon storage and allocation and soil carbon stability in the Loess Hilly Region, China Land Degrad. Dev. 2020 31 1001 1013 10.1002/ldr.3513
Corbelle-Rico E. Sánchez-Fernández P. López-Iglesias E. Lago-Peñas S. Da-Rocha J.-M. Putting land to work: An evaluation of the economic effects of recultivating abandoned farmland Land Use Policy 2022 112 105808 10.1016/j.landusepol.2021.105808
Xin L. Li X. China should not massively reclaim new farmland Land Use Policy 2018 72 12 15 10.1016/j.landusepol.2017.12.023
Deng X. Lian P. Zeng M. Xu D. Qi Y. Does farmland abandonment harm agricultural productivity in hilly and mountainous areas? evidence from China J. Land Use Sci. 2021 16 433 449 10.1080/1747423X.2021.1954707
Coleman E.A. Schultz B. Ramprasad V. Fischer H. Rana P. Filippi A.M. Güneralp B. Ma A. Rodriguez Solorzano C. Guleria V. et al. Limited effects of tree planting on forest canopy cover and rural livelihoods in Northern India Nat. Sustain. 2021 4 997 1004 10.1038/s41893-021-00761-z
Bratic G. Oxoli D. Brovelli M.A. Map of Land Cover Agreement: Ensambling Existing Datasets for Large-Scale Training Data Provision Remote Sens. 2023 15 3774 10.3390/rs15153774
Wu Z. Thenkabail P.S. Mueller R. Zakzeski A. Melton F. Johnson L. Rosevelt C. Dwyer J. Jones J. Verdin J.P. Seasonal cultivated and fallow cropland mapping using MODIS-based automated cropland classification algorithm J. Appl. Remote Sens. 2014 8 083685 10.1117/1.JRS.8.083685
Gong P. Wang J. Yu L. Zhao Y. Zhao Y. Liang L. Niu Z. Huang X. Fu H. Liu S. et al. Finer resolution observation and monitoring of global land cover: First mapping results with Landsat TM and ETM+ data Int. J. Remote Sens. 2012 34 2607 2654 10.1080/01431161.2012.748992
Vicenteserrano S. Perezcabello F. Lasanta T. Assessment of radiometric correction techniques in analyzing vegetation variability and change using time series of Landsat images Remote Sens. Environ. 2008 112 3916 3934 10.1016/j.rse.2008.06.011
Heidarian Dehkordi R. Pelgrum H. Meersmans J. High spatio-temporal monitoring of century-old biochar effects on evapotranspiration through the ETLook model: A case study with UAV and satellite image fusion based on additive wavelet transform (AWT) GIScience Remote Sens. 2021 59 111 141 10.1080/15481603.2021.2016262
Zhu X. Chen J. Gao F. Chen X. Masek J.G. An enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions Remote Sens. Environ. 2010 114 2610 2623 10.1016/j.rse.2010.05.032
Kassam A. Friedrich T. Derpsch R. Global spread of Conservation Agriculture Int. J. Environ. Stud. 2018 76 29 51 10.1080/00207233.2018.1494927
Zhang H. Zhang J. Song J. Analysis of the threshold effect of agricultural industrial agglomeration and industrial structure upgrading on sustainable agricultural development in China J. Clean. Prod. 2022 341 130818 10.1016/j.jclepro.2022.130818
Munroe D.K. van Berkel D.B. Verburg P.H. Olson J.L. Alternative trajectories of land abandonment: Causes, consequences and research challenges Curr. Opin. Environ. Sustain. 2013 5 471 476 10.1016/j.cosust.2013.06.010
Poorter L. Bongers F. Aide T.M. Almeyda Zambrano A.M. Balvanera P. Becknell J.M. Boukili V. Brancalion P.H. Broadbent E.N. Chazdon R.L. Biomass resilience of Neotropical secondary forests Nature 2016 530 211 214 10.1038/nature16512 26840632
Prach K. Walker L.R. Four opportunities for studies of ecological succession Trends Ecol. Evol. 2011 26 119 123 10.1016/j.tree.2010.12.007 21295370
Similar publications
Sorry the service is unavailable at the moment. Please try again later.
This website uses cookies to improve user experience. Read more
Save & Close
Accept all
Decline all
Show detailsHide details
Cookie declaration
About cookies
Strictly necessary
Performance
Strictly necessary cookies allow core website functionality such as user login and account management. The website cannot be used properly without strictly necessary cookies.
This cookie is used by Cookie-Script.com service to remember visitor cookie consent preferences. It is necessary for Cookie-Script.com cookie banner to work properly.
Performance cookies are used to see how visitors use the website, eg. analytics cookies. Those cookies cannot be used to directly identify a certain visitor.
Used to store the attribution information, the referrer initially used to visit the website
Cookies are small text files that are placed on your computer by websites that you visit. Websites use cookies to help users navigate efficiently and perform certain functions. Cookies that are required for the website to operate properly are allowed to be set without your permission. All other cookies need to be approved before they can be set in the browser.
You can change your consent to cookie usage at any time on our Privacy Policy page.