Global trends analysis of the main vegetation types throughout the past four decades

Achard, 2002, Determination of deforestation rates of the world's humid tropical forests, Science, 297, 999, 10.1126/science.1070656 Aguirre-Gutiérrez, 2012, Optimizing land cover classification accuracy for change detection, a combined pixel-based and object-based approach in a mountainous area in Mexico, Applied Geography, 34, 29, 10.1016/j.apgeog.2011.10.010 Angell, 1990, Variation in United States cloudiness and sunshine duration between 1950 and the drought year of 1988, Journal of Climate, 3, 296, 10.1175/1520-0442(1990)003<0296:VIUSCA>2.0.CO;2 Aplin, 2004, Remote sensing: Land cover, Progress in Physical Geography, 28, 283, 10.1191/0309133304pp413pr Asner, 2005, Selective logging in the Brazilian amazon, Science, 310, 480, 10.1126/science.1118051 Baeza, 2002, Factors influencing fire behaviour in Shrublands of different stand ages and the implications for using prescribed burning to reduce wildfire risk, Journal of Environmental Management, 65, 199, 10.1006/jema.2002.0545 Boulanger, 2012, Estimating the zone of influence of industrial developments on wildlife: A migratory caribou Rangifer tarandus groenlandicus and diamond mine case study, Wildlife Biology, 18, 164, 10.2981/11-045 Brovkin, 1997, A continuous climate-vegetation classification for use in climate-biosphere studies, Ecological Modelling, 101, 251, 10.1016/S0304-3800(97)00049-5 Buermann, 2013, Earlier springs decrease peak summer productivity in North American boreal forests, Environmental Research Letters, 8, 10.1088/1748-9326/8/2/024027 Burrough, 2000, High-resolution landform classification using fuzzy k-means, Fuzzy Sets and Systems, 113, 37, 10.1016/S0165-0114(99)00011-1 Carlson, 1994, A method to make use of thermal infrared temperature and NDVI measurements to infer surface soil water content and fractional vegetation cover, Remote Sensing Reviews, 9, 161, 10.1080/02757259409532220 Carlson, 1997, On the relation between NDVI, fractional vegetation cover, and leaf area index, Remote Sensing of Environment, 62, 241, 10.1016/S0034-4257(97)00104-1 Carpenter, 1997, ART neural networks for remote sensing: Vegetation classification from landsat TM and terrain data, IEEE Transactions on Geoscience and Remote Sensing, 35, 308, 10.1109/36.563271 Carpenter, 1999, A neural network method for efficient vegetation mapping, Remote Sensing of Environment, 70, 326, 10.1016/S0034-4257(99)00051-6 Chakraborty, 2016, Mapping long-term land use and land cover change in the central Himalayan region using a tree-based ensemble classification approach, Applied Geography, 74, 136, 10.1016/j.apgeog.2016.07.008 Chapman, 1999, Forest restoration in abandoned agricultural land: A case study from East Africa, Conservation Biology, 13, 1301, 10.1046/j.1523-1739.1999.98229.x Chazdon, 2008, Beyond deforestation: Restoring forests and ecosystem services on degraded lands, Science, 320, 1458, 10.1126/science.1155365 Chen, 2014, Using satellite based soil moisture to quantify the water driven variability in NDVI: A case study over mainland Australia, Remote Sensing of Environment, 140, 330, 10.1016/j.rse.2013.08.022 Cincotta, 2003 Cooper, 2013, Assessing vulnerability due to sea-level rise in Maui, Hawai ‘i using LiDAR remote sensing and GIS, Climatic Change, 116, 547, 10.1007/s10584-012-0510-9 DESA, 2015 Echeverria, 2006, Rapid deforestation and fragmentation of Chilean temperate forests, Biological Conservation, 130, 481, 10.1016/j.biocon.2006.01.017 Eide, 2008, An integrated study of economic effects of and vulnerabilities to global warming on the Barents Sea cod fisheries, Climatic Change, 87, 251, 10.1007/s10584-007-9338-0 Epinat, 2001, A wavelet characterization of high-resolution NDVI patterns for precision agriculture, International Journal of Applied Earth Observation and Geoinformation, 3, 121, 10.1016/S0303-2434(01)85003-0 Faour, 2015, Regional landsat-based drought monitoring from 1982 to 2014, Climate, 3, 563, 10.3390/cli3030563 Faour, 2014, Mapping urban transitions in the Greater Beirut area using different space platforms, Land, 3, 941, 10.3390/land3030941 Faour, 2016, Detecting changes in vegetation trends in the Middle East and North Africa (MENA) region using SPOT vegetation, Cybergeo: European Journal of Geography, 10.4000/cybergeo.27620 Farrar, 1994, The influence of soil type on the relationships between NDVI, rainfall, and soil moisture in semiarid Botswana. II. NDVI response to soil moisture, Remote Sensing of Environment, 50, 121, 10.1016/0034-4257(94)90039-6 Fitzsimmons, 2003, Effects of deforestation and reforestation on landscape spatial structure in boreal Saskatchewan, Canada, Forest Ecology and Management, 174, 577, 10.1016/S0378-1127(02)00067-1 Franklin, 1994, Classification of alpine vegetation using Landsat thematic mapper, SPOT HRV, and DEM data, Canadian Journal of Remote Sensing/Journal Canadien de Télédétection, 20, 49 Fyfe, 2013, Overestimated global warming over the past 20 years, Nature Climate Change, 3, 767, 10.1038/nclimate1972 Gardner, 2015, Glacier contributions to sea level rise Gautam, 2003, Land use dynamics and landscape change pattern in a mountain watershed in Nepal, Agriculture, Ecosystems & Environment, 99, 83, 10.1016/S0167-8809(03)00148-8 Gauthier, 2015, Boreal forest health and global change, Science, 349, 819, 10.1126/science.aaa9092 Gibbs, 2010, Tropical forests were the primary sources of new agricultural land in the 1980s and 1990s, Proceedings of the National Academy of Sciences, 107, 16732, 10.1073/pnas.0910275107 Girardin, 2014, Unusual forest growth decline in boreal North America covaries with the retreat of Arctic sea ice, Global Change Biology, 20, 851, 10.1111/gcb.12400 Green, 1994, Using remote sensing to detect and monitor land-cover and land-use change, Photogrammetric Engineering & Remote Sensing, 60, 331 Gu, 2007, A five‐year analysis of MODIS NDVI and NDWI for grassland drought assessment over the central Great Plains of the United States, Geophysical Research Letters, 34, 10.1029/2006GL029127 Hansen, 1996, Classification trees: An alternative to traditional land cover classifiers, International Journal of Remote Sensing, 17, 1075, 10.1080/01431169608949069 Hansen, 2013, High-resolution global maps of 21st-century forest cover change, Science, 342, 850, 10.1126/science.1244693 Holdridge, 1947, Determination of world plant formations from simple climatic data, Science, 105, 367, 10.1126/science.105.2727.367 Houborg, 2016, High-resolution NDVI from Planet's constellation of earth observing nano-satellites: A new data source for precision agriculture, Remote Sensing, 8, 768, 10.3390/rs8090768 Irvin, 1997, Fuzzy and isodata classification of landform elements from digital terrain data in Pleasant Valley, Wisconsin, Geoderma, 77, 137, 10.1016/S0016-7061(97)00019-0 Jiang, 2006, Analysis of NDVI and scaled difference vegetation index retrievals of vegetation fraction, Remote Sensing of Environment, 101, 366, 10.1016/j.rse.2006.01.003 Juel, 2015, Spatial application of random forest models for fine-scale coastal vegetation classification using object based analysis of aerial orthophoto and DEM data, International Journal of Applied Earth Observation and Geoinformation, 42, 106, 10.1016/j.jag.2015.05.008 Jung, 2006, Exploiting synergies of global land cover products for carbon cycle modeling, Remote Sensing of Environment, 101, 534, 10.1016/j.rse.2006.01.020 Kellner, 2017, Adult mortality in a low‐density tree population using high‐resolution remote sensing, Ecology, 98, 1700, 10.1002/ecy.1847 Kerr, 2003, From space to species: Ecological applications for remote sensing, Trends in Ecology & Evolution, 18, 299, 10.1016/S0169-5347(03)00071-5 Kogan, 1997, Global drought watch from space, Bulletin of the American Meteorological Society, 78, 621, 10.1175/1520-0477(1997)078<0621:GDWFS>2.0.CO;2 Köppen, 1936 Kubanek, 2014, Capacities of remote sensing for population estimation in urban areas, 45 Lee, 2009 Lees, 1991, Decision-tree and rule-induction approach to integration of remotely sensed and GIS data in mapping vegetation in disturbed or hilly environments, Environmental Management, 15, 823, 10.1007/BF02394820 Lewis, 2011, The 2010 amazon drought, Science, 331, 10.1126/science.1200807 Lillesand, 2014 Limousin, 2009, Long‐term transpiration change with rainfall decline in a Mediterranean Quercus ilex forest, Global Change Biology, 15, 2163, 10.1111/j.1365-2486.2009.01852.x Liu, 1996, Monitoring regional drought using the vegetation condition index, International Journal of Remote Sensing, 17, 2761, 10.1080/01431169608949106 Lu, 2011, Regional atmospheric anomalies responsible for the 2009–2010 severe drought in China, Journal of Geophysical Research: Atmosphere, 116 Lu, 2003, Linear mixture model applied to Amazonian vegetation classification, Remote Sensing of Environment, 87, 456, 10.1016/j.rse.2002.06.001 Marengo, 2011, The drought of 2010 in the context of historical droughts in the Amazon region, Geophysical Research Letters, 38, 12, 10.1029/2011GL047436 Martínez-Verduzco, 2012, Coupling community mapping and supervised classification to discriminate Shade coffee from Natural vegetation, Applied Geography, 34, 1, 10.1016/j.apgeog.2011.10.001 Meier, 2002, Sea level is rising: Do we know why?, Proceedings of the National Academy of Sciences, 99, 6524, 10.1073/pnas.112214499 Mhawej, 2016, Towards an establishment of a wildfire risk system in a Mediterranean country, Ecological Informatics, 32, 167, 10.1016/j.ecoinf.2016.02.003 Mhawej, 2017, A novel method to identify likely causes of wildfire, Climate Risk Management, 16, 120, 10.1016/j.crm.2017.01.004 Mwaniki, 2015, Knowledge based multi-source, time series classification: A case study of central region of Kenya, Applied Geography, 60, 58, 10.1016/j.apgeog.2015.03.005 Neilson, 1993, Vegetation redistribution: A possible biosphere source of CO 2 during climatic change, Water, Air, and Soil Pollution, 70, 659, 10.1007/BF01105028 Nepstad, 2014, Slowing Amazon deforestation through public policy and interventions in beef and soy supply chains, Science, 344, 1118, 10.1126/science.1248525 Nepstad, 2006, Inhibition of Amazon deforestation and fire by parks and indigenous lands, Conservation Biology, 20, 65, 10.1111/j.1523-1739.2006.00351.x Nepstad, 2009, The end of deforestation in the Brazilian Amazon, Science, 326, 1350, 10.1126/science.1182108 Nicholls, 2010, Sea-level rise and its impact on coastal zones, Science, 328, 1517, 10.1126/science.1185782 North, 2002, Estimation of f APAR, LAI, and vegetation fractional cover from ATSR-2 imagery, Remote Sensing of Environment, 80, 114, 10.1016/S0034-4257(01)00292-9 Olofsson, 2014, Good practices for estimating area and assessing accuracy of land change, Remote Sensing of Environment, 148, 42, 10.1016/j.rse.2014.02.015 Orth, 1983, Chesapeake Bay: An unprecedented decline in submerged aquatic vegetation, Science(Washington), 222, 51, 10.1126/science.222.4619.51 Pagliarella, 2016, From one-to two-phase sampling to reduce costs of remote sensing-based estimation of land-cover and land-use proportions and their changes, Remote Sensing of Environment, 184, 410, 10.1016/j.rse.2016.07.027 Pattanavibool, 2002, Fragmentation and wildlife in montane evergreen forests, northern Thailand, Biological Conservation, 107, 155, 10.1016/S0006-3207(02)00056-3 Peters, 2002, Drought monitoring with NDVI-based standardized vegetation index, Photogrammetric Engineering & Remote Sensing, 68, 71 Petropoulos, 2014, Quantifying spatial and temporal vegetation recovery dynamics following a wildfire event in a Mediterranean landscape using EO data and GIS, Applied Geography, 50, 120, 10.1016/j.apgeog.2014.02.006 Pongratz, 2008, A reconstruction of global agricultural areas and land cover for the last millennium, Global Biogeochemical Cycles, 22, 10.1029/2007GB003153 Prentice, 1996, Reconstructing biomes from palaeoecological data: A general method and its application to European pollen data at 0 and 6 ka, Climate Dynamics, 12, 185, 10.1007/BF00211617 Prieto, 2009, Experimental drought and warming decrease diversity and slow down post‐fire succession in a Mediterranean shrubland, Ecography, 32, 623, 10.1111/j.1600-0587.2009.05738.x Productivity Commission (PC), 2005 Riera, 2007, Valuation of climate‐change effects on mediterranean shrublands, Ecological Applications, 17, 91, 10.1890/1051-0761(2007)017[0091:VOCEOM]2.0.CO;2 Riva, 2017, Assessment of land degradation in Mediterranean forests and grazing lands using a landscape unit approach and the normalized difference vegetation index, Applied Geography, 86, 8, 10.1016/j.apgeog.2017.06.017 Rogan, 2002, A comparison of methods for monitoring multitemporal vegetation change using Thematic Mapper imagery, Remote Sensing of Environment, 80, 143, 10.1016/S0034-4257(01)00296-6 Rudel, 2002, A tropical forest transition? Agricultural change, out-migration, and secondary forests in the Ecuadorian Amazon, Annals of the Association of American Geographers, 92, 87, 10.1111/1467-8306.00281 Running, 1995, A remote sensing based vegetation classification logic for global land cover analysis, Remote Sensing of Environment, 51, 39, 10.1016/0034-4257(94)00063-S Schrader-Patton, 2016 Sesnie, 2008, Integrating Landsat TM and SRTM-DEM derived variables with decision trees for habitat classification and change detection in complex neotropical environments, Remote Sensing of Environment, 112, 2145, 10.1016/j.rse.2007.08.025 Shalaby, 2007, Remote sensing and GIS for mapping and monitoring land cover and land-use changes in the Northwestern coastal zone of Egypt, Applied Geography, 27, 28, 10.1016/j.apgeog.2006.09.004 Sixsmith, 2013, Technology and the challenge of aging, 7 Sternberg, 2012, Chinese drought, bread and the Arab Spring, Applied Geography, 34, 519, 10.1016/j.apgeog.2012.02.004 Tappan, 1992, Monitoring rangeland dynamics in Senegal with advanced very high resolution radiometer data, Geocarto International, 7, 87, 10.1080/10106049209354356 Tichý, 2002, JUICE, software for vegetation classification, Journal of Vegetation Science, 13, 451, 10.1111/j.1654-1103.2002.tb02069.x Tilman, 2011, Global food demand and the sustainable intensification of agriculture, Proceedings of the National Academy of Sciences, 108, 20260, 10.1073/pnas.1116437108 Townshend, 1991, Global land cover classification by remote sensing: Present capabilities and future possibilities, Remote Sensing of Environment, 35, 243, 10.1016/0034-4257(91)90016-Y Trabaud, 1996, Effects of fire frequency on plant communities and landscape pattern in the Massif des Aspres (southern France), Landscape Ecology, 11, 215, 10.1007/BF02071812 Trenberth, 1988, Origins of the 1988 North American drought, Science, 242, 1640, 10.1126/science.242.4886.1640 Tubiello, 2015, The contribution of agriculture, forestry and other land use activities to global warming, 1990–2012, Global Change Biology, 21, 2655, 10.1111/gcb.12865 Tucker, 2005, An extended AVHRR 8‐km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data, International Journal of Remote Sensing, 26, 4485, 10.1080/01431160500168686 Van Hoek, 2016, Early drought detection by spectral analysis of satellite time series of precipitation and normalized difference vegetation index (NDVI), Remote Sensing, 8, 422, 10.3390/rs8050422 Van Meijl, 2006, The impact of different policy environments on agricultural land use in Europe, Agriculture, Ecosystems & Environment, 114, 21, 10.1016/j.agee.2005.11.006 Verheyen, 2016, Contributions of a global network of tree diversity experiments to sustainable forest plantations, Ambio, 45, 29, 10.1007/s13280-015-0685-1 Wang, 2005, On the relationship of NDVI with leaf area index in a deciduous forest site, Remote Sensing of Environment, 94, 244, 10.1016/j.rse.2004.10.006 Werth, 2002, The local and global effects of Amazon deforestation, Journal of Geophysical Research: Atmosphere, 107, 10.1029/2001JD000717 Willer, 2011, The world of organic agriculture 2011: Summary, Statistics and Emerging Trends, 2011, 26 World Wildlife Fund (WWF), 2007 Wulder, 2008, Cross-sensor change detection over a forested landscape: Options to enable continuity of medium spatial resolution measures, Remote Sensing of Environment, 112, 796, 10.1016/j.rse.2007.06.013 Wu, 2014, Evaluation of spatiotemporal variations of global fractional vegetation cover based on GIMMS NDVI data from 1982 to 2011, Remote Sensing, 6, 4217, 10.3390/rs6054217 Xie, 2008, Remote sensing imagery in vegetation mapping: A review, Journal of Plant Ecology, 1, 9, 10.1093/jpe/rtm005 Yuan, 2005, Land cover classification and change analysis of the Twin Cities (Minnesota) Metropolitan Area by multitemporal Landsat remote sensing, Remote Sensing of Environment, 98, 317, 10.1016/j.rse.2005.08.006 Yu, 2006, Object-based detailed vegetation classification with airborne high spatial resolution remote sensing imagery, Photogrammetric Engineering & Remote Sensing, 72, 799, 10.14358/PERS.72.7.799 Zhao, 2014, The effect of hydrologic process changes on NDVI in the desert-oasis ecotone of the Hexi Corridor, Science China Earth Sciences, 57, 3107, 10.1007/s11430-014-4927-z Zhou, 2006, Estimating potential evapotranspiration using Shuttleworth–Wallace model and NOAA-AVHRR NDVI data to feed a distributed hydrological model over the Mekong River basin, Journal of Hydrology, 327, 151, 10.1016/j.jhydrol.2005.11.013