Global Vegetation Greenness (NDVI) from AVHRR GIMMS-3G+, 1981-2022

A long-term high-resolution dataset of grasslands grazing intensity in China

Wang, D., Peng, Q., Li, X., Zhang, W., Xia, X., Qin, Z., Ren, P., Liang, S., & Yuan, W. (2024) · Scientific Data · doi:10.1038/s41597-024-04045-x · Cited by 99 · see citing works

Quantifying the drought sensitivity of vegetation types in northern China from 1982 to 2022

Yuan, B., Guo, S., Zhang, X., Mu, H., Cao, S., Xia, Z., Pan, X., & Du, P. (2024) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2024.110293 · Cited by 63 · see citing works

The changing face of the Arctic: four decades of greening and implications for tundra ecosystems

Frost, G. V., Bhatt, U. S., Macander, M. J., Berner, L. T., Walker, D. A., Raynolds, M. K., Magnússon, R. Í., Bartsch, A., Bjerke, J. W., Epstein, H. E., et al. (2025) · Frontiers in Environmental Science · doi:10.3389/fenvs.2025.1525574 · Cited by 51 · see citing works

Distribution and Growth Drivers of Oases at a Global Scale

Cui, B., Dongwei, G. U. I., Liu, Q., Abd‐Elmabod, S. K., Liu, Y., & Lu, B. (2024) · Earth s Future · doi:10.1029/2023ef004086 · Cited by 45 · see citing works

Global Wind Erosion Reduction Driven by Changing Climate and Land Use

Sun, R., He, H., Jing, Y., Leng, S., Yang, G., Lü, Y., Pasquale, B., Chen, L., & Fu, B. (2024) · Earth s Future · doi:10.1029/2024ef004930 · Cited by 38 · see citing works

Optimizing actual evapotranspiration simulation to identify evapotranspiration partitioning variations: A fusion of physical processes and machine learning techniques

Jiang, X., Wang, Y., Yinglan, A., Wang, G., Zhang, X., Ma, G., Duan, L., & Liu, K. (2024) · Agricultural Water Management · doi:10.1016/j.agwat.2024.108755 · Cited by 35 · see citing works

Lagged precipitation effects on plant production across terrestrial biomes

He, L., Wang, J., Peltier, D. M. P., Ritter, F., Ciais, P., Peñuelas, J., Xiao, J., Crowther, T. W., Li, X., Ye, J., et al. (2025) · Nature Ecology & Evolution · doi:10.1038/s41559-025-02806-4 · Cited by 29 · see citing works

Contrasting Trends in Onset of Spring Green‐Up Between Grasslands and Forests in China

Hu, Y., Fu, B., Michaelides, K., Kauwe, M. G. D., Wang, J., Shen, M., Zhang, W., Wang, Y., Xiao, X., Qin, Y., et al. (2025) · Earth s Future · doi:10.1029/2024ef005379 · Cited by 26 · see citing works

Changes and drivers of long-term land evapotranspiration in the Yangtze River Basin: A water balance perspective

Bai, H., Zhong, Y., Ma, N., Kong, D., Mao, Y., Feng, W., Wu, Y., & Zhong, M. (2025) · Journal of Hydrology · doi:10.1016/j.jhydrol.2025.132763 · Cited by 22 · see citing works

Terrestrial Evapotranspiration Over China From 1982 to 2020: Consistency of Multiple Data Sets and Impact of Input Data

Mao, Y., Bai, J., Wu, G., Xu, L., Yin, C., Feng, F., He, Y., Zhang, Z., & Wang, K. (2024) · Journal of Geophysical Research Atmospheres · doi:10.1029/2023jd039387 · Cited by 17 · see citing works

The Arctic

Druckenmiller, M. L., Thoman, R. L., Moon, T., Andreassen, L. M., Ballinger, T. J., Berner, L. T., Bernhard, G., Bhatt, U. S., Bigalke, S., Bjerke, J. W., et al. (2024) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-24-0101.1 · Cited by 18 · see citing works

The Widely Increasing Sensitivity of Vegetation Productivity to Phenology in Northern Middle and High Latitudes

Wang, L., Li, P., Peng, Y., Ren, P., Chen, Y., Zhou, X., Yang, Z., Zou, Z., & Peng, C. H. (2025) · Geophysical Research Letters · doi:10.1029/2024gl113892 · Cited by 16 · see citing works

Temporal and Phenological Modulation of the Impact of Increasing Drought Conditions on Vegetation Growth in a Humid Big River Basin: Insights From Global Comparisons

Xiao, J., Terrer, C., Gentine, P., Tateno, R., Fan, L., Ma, M., Yue, Y., Yuan, W., Peñuelas, J., & Shi, W. (2025) · Earth s Future · doi:10.1029/2024ef005720 · Cited by 16 · see citing works

Drought Timing Differentiates the Drought Responses of Vegetation Growth on the Tibetan Plateau

Meng, Z., Wu, X., Li, Y., & Wang, X. (2024) · Journal of Geophysical Research Biogeosciences · doi:10.1029/2024jg008179 · Cited by 14 · see citing works

Future response of ecosystem water use efficiency to CO 2 effects in the Yellow River Basin, China

Chen, S., Guo, Y., Xu, Y., & Wang, L. (2024) · Hydrology and earth system sciences · doi:10.5194/hess-28-4989-2024 · Cited by 13 · see citing works

Identifying Forest Drought Sensitivity Drivers in China Under Lagged and Accumulative Effects via XGBoost-SHAP

Xue, Z., Diao, S., Yang, F., Fei, L., Wang, W., Fang, L., & Liu, Y. (2025) · Remote Sensing · doi:10.3390/rs17162903 · Cited by 12 · see citing works

Assessment of vegetation response to compound dry-hot events in Central Asia based on the Vine-Copula conditional probability model

Yang, C., Zhang, H., Ta, Z., Huang, G., & Liu, Y. (2024) · Ecological Indicators · doi:10.1016/j.ecolind.2024.112910 · Cited by 11 · see citing works

Global temporal and spatial changes of vegetation in desert steppe Ecosystems: Impacts of climate driving factors

Chen, X., Cui, B., Dongwei, G. U. I., Liu, Q., Liu, Y., & Jin, Q. (2025) · Ecological Indicators · doi:10.1016/j.ecolind.2025.113333 · Cited by 10 · see citing works

Natural and anthropogenic contributions to desertification in Central Asia

Wei, Y., Tao, H., Kundzewicz, Z. W., Mondal, S. K., Wang, A., Li, Y., & Jiang, T. (2025) · CATENA · doi:10.1016/j.catena.2025.109154 · Cited by 10 · see citing works

Climate Warming and Soil Drying Significantly Enhance the Methane Uptake in China's Grasslands

Wang, X., Tang, Z., Kang, X., He, N., & Li, M. (2025) · Global Change Biology · doi:10.1111/gcb.70286 · Cited by 9 · see citing works

Potential impact of precipitation temporal structure on meteorological drought and vegetation condition: A case study on Qinghai-Tibet Plateau

Lü, H. F., Qiu, J., Hu, B. X., & Li, F. (2024) · Journal of Hydrology Regional Studies · doi:10.1016/j.ejrh.2024.102048 · Cited by 9 · see citing works

Higher warming rate in global arid regions driven by decreased ecosystem latent heat under rising vapor pressure deficit from 1981 to 2022

Wang, J., Niu, H., Zhang, S., Chen, X., Xia, X., Zhang, Y., Lu, X., He, B., Wu, T., Song, C., et al. (2025) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2025.110622 · Cited by 8 · see citing works

Sustaining Carbon Storage: An Analysis of Land Use and Conservation Strategies in China’s Huang-Huai-Hai Plain

Wang, X., Zhang, W., Zhao, X., Wang, D., & Li, Y. (2024) · Sustainability · doi:10.3390/su17010139 · Cited by 7 · see citing works

Revealing the vegetation trend shifts related to meteorological and hydrological factors in central Asian endorheic basins

Yu, Z., Wang, P., Shi, S., Wang, T., & Yu, J. (2025) · CATENA · doi:10.1016/j.catena.2025.109137 · Cited by 7 · see citing works

Human pressure and biodiversity modify forest resilience after extreme multi-year droughts

Wu, T., Liu, Y. X., Chen, L., Fu, Z., Fu, B., Li, Y., Wu, X., Ding, J., Li, C., Wang, S., et al. (2026) · Nature Ecology & Evolution · doi:10.1038/s41559-026-03015-3 · Cited by 7 · see citing works

Accelerated soil moisture drought onset link to high temperatures and asymmetric responses associated with hit timing

Liu, Y., Wang, Z., Zhang, X., Zhu, Y., Ren, L., Yuan, S., & Jin, J. (2025) · Hydrology and earth system sciences · doi:10.5194/hess-29-1103-2025 · Cited by 7 · see citing works

Quantitatively Decoupling the Relationships Between Discharge and Sediment Yield During Flood Events in China's Loess Plateau

Li, Z., Gao, G., Huang, A., Ran, L., Li, D., & Fu, B. (2025) · Water Resources Research · doi:10.1029/2024wr039206 · Cited by 6 · see citing works

Exploring coupled coordination and synergistic evolution in a multi-dimensional water system of the Yellow River Basin

Yu, H., Li, B., Zhang, H., Ren, Z., Zhao, M., & An, X. (2025) · Ecological Indicators · doi:10.1016/j.ecolind.2025.113687 · Cited by 6 · see citing works

Comparative analysis of long-term trends and climate sensitivity of spring phenology across forests, shrublands, and grasslands in the middle–high latitudes of the Northern Hemisphere

Zhang, X., Jia, W., Li, Y., Luo, L., & Atkinson, P. M. (2025) · GIScience & Remote Sensing · doi:10.1080/15481603.2025.2572165 · Cited by 6 · see citing works

Decadal Variability in Spring Sea Ice Concentration Linked to Summer Temperature and NDVI on the Yukon–Kuskokwim Delta

Hendricks, A. S., Bhatt, U. S., Frost, G. V., Walker, D. A., Bieniek, P. A., Raynolds, M. K., Lader, R. T., Epstein, H. E., Pinzón, J. E. D., Tucker, C. J., et al. (2023) · Earth Interactions · doi:10.1175/ei-d-23-0002.1 · Cited by 6 · see citing works

Global evaluation of terrestrial evaporation trend from diagnostic products

Ruan, F., Yang, Y., Tu, Z., Xiong, J., & Guo, H. J. (2025) · Journal of Hydrology · doi:10.1016/j.jhydrol.2025.132979 · Cited by 7 · see citing works

The Arctic

Thoman, R. L., Moon, T., Druckenmiller, M. L., Askjaer, T. G., Ballinger, T. J., Bhatt, U. S., Berner, L. T., Bernhard, G., Bigalke, S., Bjerke, J. W., et al. (2025) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-25-0104.1 · Cited by 6 · see citing works

Introducing a new floodplain scheme in ORCHIDEE (version 7885): validation and evaluation over the Pantanal wetlands

Schrapffer, A., Polcher‬, J., Sörensson, A. A., & Fita, L. (2023) · Geoscientific model development · doi:10.5194/gmd-16-5755-2023 · Cited by 5 · see citing works

Temperature-driven nonlinear thresholds and time-lags in vegetation response to extreme climate events via machine learning: Evidence from China's Poyang Lake

Zhang, F., Yang, W., & Shao, D. (2025) · Ecohydrology & Hydrobiology · doi:10.1016/j.ecohyd.2025.100685 · Cited by 4 · see citing works

Impacts of Anthropogenic Climate Change and Vegetation Variations on Global Changes in Baseflow and Stormflow

Tan, X., Tan, X., Liu, B., Huang, Z., Fu, J., Peng, H., & Zhang, W. (2025) · Water Resources Research · doi:10.1029/2025wr040309 · Cited by 4 · see citing works

Precipitation, moderated by spring temperature and vegetation, drives runoff efficiency in the Upper Colorado River Basin, USA

Palumbo, D., Gangopadhyay, S., & Lall, U. (2025) · Communications Earth & Environment · doi:10.1038/s43247-025-03136-w · Cited by 4 · see citing works

Considerable energy crop production potentials in the Russian Far East

Zhang, Z., Xu, J., Jin, S., Zhuang, H., Li, S., Wu, X., & Zhang, Z. (2024) · Biomass and Bioenergy · doi:10.1016/j.biombioe.2024.107365 · Cited by 4 · see citing works

Causal pathway from AMOC to Southern Amazon rainforest indicates stabilising interaction between two climate tipping elements

Högner, A., Capua, G. D., Donges, J. F., Donner, R. V., Feulner, G., & Wunderling, N. (2025) · Environmental Research Letters · doi:10.1088/1748-9326/addb62 · Cited by 2 · see citing works

Variability of long-term terrestrial water storage changes and its environmental effects in the Three Rivers Source Region, China

Lü, H. F., Zuo, H., Zhou, H., Jiao, Y., & Hu, X. (2025) · Journal of Mountain Science · doi:10.1007/s11629-024-9446-6 · Cited by 2 · see citing works

Predicting the Start of the Growing Season in Boreal Forest Under High and Low Emission Scenarios

Sun, Z., Zhao, J., Zhang, H., Wang, Y., Fan, L., Zhang, Z., Guo, X., Ren, Z., Xiong, T., Du, W., et al. (2025) · Earth s Future · doi:10.1029/2024ef005622 · Cited by 2 · see citing works

Quantifying Historical and Future Surface Soil Moisture Drying Using Deep Learning and Remote Sensing

Bo, Y., Li, X., Liu, K., Wang, S., Tang, Q., Jiang, Y., Li, Z., Lu, S., Wang, L., Feng, C., et al. (2026) · Earth s Future · doi:10.1029/2025ef006261 · Cited by 2 · see citing works

Unlocking the mysteries of drought: integrating snowmelt dynamics into drought analysis at the Narayani River Basin, Nepal

Bajracharya, S., Gunawardhana, L. N., Sirisena, J., Bamunawala, J., Rajapakse, L., & Odara, M. G. N. (2024) · Natural Hazards · doi:10.1007/s11069-024-07004-2 · Cited by 2 · see citing works

The relative productivity index: Mapping human impacts on rangeland vegetation productivity with quantile regression forests

Lomax, G., Powell, T., Lenton, T. M., & Cunliffe, A. M. (2025) · Ecological Indicators · doi:10.1016/j.ecolind.2025.113208 · Cited by 3 · see citing works

Efficiency and regional differences of forest restoration across China’s Upper Yangtze River Basin

Lei, Z., Zhou, J., Li, Y., Zhao, Y., & Lu, T. (2025) · Journal of Forestry Research · doi:10.1007/s11676-025-01910-2 · Cited by 2 · see citing works

NOAA Arctic Report Card 2025: Tundra Greenness

Frost, G. V., Macander, M. J., Bhatt, U. S., Berner, L. T., Assmann, J. J., Bartsch, A., & Bjerke, J. W. (2025) · NOAA Global Ocean Monitoring and Observing Program · doi:10.25923/0k84-kn78 · Cited by 1 · see citing works

Spatio-temporal trends and resilience of forests in central India: insights from vegetation, temperature, and rainfall dynamics (2001–2023)

Singh, S. S., & Jeganathan, C. (2025) · Environmental Monitoring and Assessment · doi:10.1007/s10661-025-13767-3 · Cited by 1 · see citing works

Environmental Change and Hemorrhagic Fever with Renal Syndrome Transmission Risk on the China–Russia Border

Lian, Y., Li, H., Yang, L., Wang, L., Gu, L., Malkhazova, S. M., & Shartova, N. V. (2025) · EcoHealth · doi:10.1007/s10393-025-01732-y · Cited by 1 · see citing works

Exploring the relationship between vegetation greenness and precipitation on the Tibetan plateau during the growing season

Yang, X., Sun, S., Song, Z., & Che, T. (2025) · International Journal of Biometeorology · doi:10.1007/s00484-025-03012-4 · Cited by 1 · see citing works

Divergent demographic responses of boreal-breeding ducks to growing season variability

Messmer, D. J., Slattery, S., Drever, M. C., Derksen, C., & Clark, R. G. (2026) · Oecologia · doi:10.1007/s00442-026-05865-x · Cited by 1 · see citing works

The influence and underlying mechanism of snow variations on fractional vegetation cover in Eurasia from 1981 to 2022

Cheng, K., Li, Z., Wei, Z., Li, X., & Ma, L. (2026) · Theoretical and Applied Climatology · doi:10.1007/s00704-026-06172-4 · Cited by 1 · see citing works

Vegetation increasingly controlled by atmospheric dryness rather than soil moisture

Li, L., Fang, Y., Mao, J., Xu, S., Zheng, Z., Li, W., Shi, M., Koven, C. D., Chambers, J. Q., Leung, L. R., et al. (2026) · Nature Geoscience · doi:10.1038/s41561-026-02107-w · Cited by 1 · see citing works

MACH: A Multi-Attribute Catchment Hydrometeorological dataset

Sink, K., & Brikowski, T. H. (2026) · Scientific Data · doi:10.1038/s41597-026-07162-x · Cited by 1 · see citing works

Divergent impacts of soil desiccation on atmospheric water vapor–temperature responses regulated by evapotranspiration

Wang, R., Fan, X., Liu, Y., Zhao, X., Wang, R., & Liu, Y. (2025) · Environmental Research Letters · doi:10.1088/1748-9326/ada6df

A dataset of desertification indices in Central Asia from 1982 to 2020

Yabin, W. E. I., & Tao, H. (2025) · China Scientific Data · doi:10.11922/11-6035.csd.2023.0170.zh

Monthly variations of the spring greenness response across boreal Eurasia to the preceding wintertime northern annular mode during 1982–2022

Li, J., Zeng, W., Lin, R., Xu, Z., Xie, X., Su, F., Zhao, R., & Duan, A. (2025) · Climate Dynamics · doi:10.1007/s00382-025-07692-x

Post-2000 greening of Kalahari Desert and southern African grasslands reduces food and economic insecurity in Africa

Nath, D., Nath, R., Chen, W., Cai, W., Dong, Z., & Yang, R. (2025) · Environmental Research Letters · doi:10.1088/1748-9326/adf23a

Arctic greening amplifies summer cyclone intensity over northern Eurasia

Qin, Y.-J., Yang, S., Kong, Y., & Lu, C. (2025) · Climate Dynamics · doi:10.1007/s00382-025-07994-0

Methodological sensitivities when identifying dryland degradation: case studies from two Australian regions

Zhang, X., Evans, J. P., & Fisher, A. G. (2026) · Journal of Arid Environments · doi:10.1016/j.jaridenv.2026.105561

Nonlinear Elevation‐Dependent Controls on Drought Responses of Vegetation Net Primary Production in the Central Himalayas

Wu, J., Yang, Y., Zhao, J., Ding, T., & Zhao, W. (2026) · Journal of Geophysical Research Biogeosciences · doi:10.1029/2025jg009490

Harnessing Deep Learning for Dual Gains in S2S‐Scale Soil Moisture Forecasting and Flash Drought Mechanisms

Yang, G., Chang, J., Zhang, L. P., Kam, J., Zheng, Y., Wang, Y., Guo, A., Hussain, A., & Liu, A. M. M. (2026) · Water Resources Research · doi:10.1029/2025wr041466

Catchment precipitation partitioning in the Budyko framework is controlled by root zone storage capacity

Ibrahim, M., van Oorschot, F., van der Ent, R., Hrachowitz, M., & Coenders‐Gerrits, M. (2026) · Environmental Research Letters · doi:10.1088/1748-9326/ae612a

A positive phase of the winter North Atlantic oscillation is associated with drought in Central Europe the following summer

Jiang, C., Soulsby, C., Laudon, H., Wu, S., & Tetzlaff, D. (2026) · Communications Earth & Environment · doi:10.1038/s43247-026-03729-z

Survey timing and spring phenology influence scaup and mallard population estimates in the Canadian western boreal forest

Messmer, D. J. (2026) · Canadian Journal of Zoology · doi:10.1139/cjz-2025-0186

Assessing ecosystem responsiveness to interannual climate variability: South American protected areas as a natural experiment

Dieguez, H., Bondaruk, V. F., Piñeiro, G., & Paruelo, J. M. (2026) · Ecological Processes · doi:10.1186/s13717-026-00737-x

Revealing spatial patterns and depth-dependent controls of soil organic carbon density across China using interpretable machine learning

Zhang, Y., Wang, G., Zhu, C., & Cabral, P. (2026) · Environmental Earth Sciences · doi:10.1007/s12665-026-13093-y

Divergent vegetation recovery shaped by drought, heat and compound extremes

Feng, X., Wang, Z., Wu, X., Zhao, Y., Qi, X., Xu, C., Zhang, Z., Liao, W., Huang, S., Chen, Y., et al. (2026) · Communications Earth & Environment · doi:10.1038/s43247-026-03927-9

Environmental Input and Spatial Connectivity of Perfluoroalkyl Acids (PFAAs) in the Yarlung Tsangpo River

Yu, H., Wang, C., Wang, X., Zhong, Y., Wang, Q., Qian, S., Liu, Y., Liu, W., Zhou, Y., Dong, H., et al. (2026) · ACS ES&T Water · doi:10.1021/acsestwater.6c00787

Growing-season vegetation water use efficiency in response to drought events: resistance and recovery periods and underlying drivers

Tan, Z., Liu, W., Gui, X., Wu, G., Li, Q., Xu, X., & Jiang, L. (2026) · Theoretical and Applied Climatology · doi:10.1007/s00704-026-06673-2

Global Vegetation Greenness Normalized Difference Vegetation Index (NDVI) from Advanced Very High Resolution Radiometer (AVHRR) Global Inventory Modeling and Mapping Studies-3rd Generation (GIMMS-3G+), 1981-2022

Pinzon, J. E., Pak, E. W., Tucker, C. J., Bhatt, U. S., Frost, G. V., & Macander, M. J. (2024) · UC Santa Barbara · doi:10.18739/a2gb1xj8j

Normalized Difference Vegetation Index-3rd generation (NDVI) using the Global Inventory Monitoring and Modeling System (GIMMS) 1981-2015

Tucker, C. J. (2018) · UC Santa Barbara · doi:10.18739/a2x63b631

Evaluation of Earth Observation based global long term vegetation trends — Comparing GIMMS and MODIS global NDVI time series

Fensholt, R., & Proud, S. (2012) · Remote Sensing of Environment · doi:10.1016/j.rse.2011.12.015 · Cited by 883 · see citing works

A Non-Stationary 1981–2012 AVHRR NDVI3g Time Series

Pinzón, J. E. D., & Tucker, C. (2014) · Remote Sensing · doi:10.3390/rs6086929 · Cited by 1,195 · see citing works

Long-Term Arctic Growing Season NDVI Trends from GIMMS 3g, 1982-2012

Guay, K. C., Beck, P. S. A., & Goetz, S. J. (2015) · Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics · doi:10.3334/ornldaac/1275 · Cited by 8 · see citing works