Vegetation structural change since 1981 significantly enhanced the terrestrial carbon sink

A biochemical model of photosynthetic CO2 assimilation in leaves of C3 species

Farquhar, G. D., von Caemmerer, S., & Berry, J. A. (1980) · Planta · doi:10.1007/bf00386231 · Cited by 8,796 · see citing works

Terrestrial ecosystem production: A process model based on global satellite and surface data

Potter, C., Randerson, J., Field, C., Matson, P., Vitousek, P., Mooney, H., & Klooster, S. (1993) · Global Biogeochemical Cycles · doi:10.1029/93gb02725 · Cited by 2,930 · see citing works

Greening of the Earth and its drivers

Zhu, Z., Piao, S., Myneni, R. B., Huang, M., Zeng, Z., Canadell, J. G., Ciais, P., Sitch, S., Friedlingstein, P., Arneth, A., et al. (2016) · Nature Climate Change · doi:10.1038/nclimate3004 · Cited by 2,779 · see citing works

An extended AVHRR 8‐km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data

Tucker, C. J., Pinzón, J. E. D., Brown, M. E., Slayback, D. A., Pak, E. W., Mahoney, R. L., Vermote, E. F., & Saleous, N. (2005) · International Journal of Remote Sensing · doi:10.1080/01431160500168686 · Cited by 2,310 · see citing works

Global land change from 1982 to 2016

Song, X.-P., Hansen, M. C., Stehman, S. V., Potapov, P. V., Tyukavina, A., Vermote, E. F., & Townshend, J. R. (2018) · Nature · doi:10.1038/s41586-018-0411-9 · Cited by 1,946 · see citing works

Defining leaf area index for non‐flat leaves

Chen, J., & Black, T. A. (1992) · Plant Cell & Environment · doi:10.1111/j.1365-3040.1992.tb00992.x · Cited by 1,485 · see citing works

Evaluation of the terrestrial carbon cycle, future plant geography and climate‐carbon cycle feedbacks using five Dynamic Global Vegetation Models (DGVMs)

Sitch, S. A., Huntingford, C., Gedney, N., Levy, P., Lomas, M., Piao, S. L., Betts, R., Ciais, P., Cox, P. M., Friedlingstein, P., et al. (2008) · Global Change Biology · doi:10.1111/j.1365-2486.2008.01626.x · Cited by 1,320 · see citing works

Observations and modeling of biomass and soil organic matter dynamics for the grassland biome worldwide

Parton, W. J., Scurlock, J. M. O., Ojima, D. S., Gilmanov, T. G., Scholes, R. J., Schimel, D. S., Kirchner, T., Menaut, J., Seastedt, T., Garcia Moya, E., et al. (1993) · Global Biogeochemical Cycles · doi:10.1029/93gb02042 · Cited by 1,319 · see citing works

Global Carbon Budget 2017

Quéré, C. L., Andrew, R. M., Friedlingstein, P., Sitch, S. A., Pongratz, J., Manning, A. C., Korsbakken, J. I., Peters, G. P., Canadell, J. G., Jackson, R. B., et al. (2018) · Earth system science data · doi:10.5194/essd-10-405-2018 · Cited by 1,229 · see citing works

Uncertainties in CMIP5 Climate Projections due to Carbon Cycle Feedbacks

Friedlingstein, P., Meinshausen, M. A., Arora, V. K., JONES, C. D., Anav, A., Liddicoat, S. K., & Knutti, R. (2013) · Journal of Climate · doi:10.1175/jcli-d-12-00579.1 · Cited by 1,075 · see citing works

Global Data Sets of Vegetation Leaf Area Index (LAI)3g and Fraction of Photosynthetically Active Radiation (FPAR)3g Derived from Global Inventory Modeling and Mapping Studies (GIMMS) Normalized Difference Vegetation Index (NDVI3g) for the Period 1981 to 2011

Zhu, Z., Bi, J., Pan, Y., Ganguly, S., Anav, A., Xu, L., Samanta, A., Piao, S. L., Nemani, R., & Myneni, R. B. (2013) · Remote Sensing · doi:10.3390/rs5020927 · Cited by 911 · see citing works

Evaluation of terrestrial carbon cycle models for their response to climate variability and to CO 2 trends

Piao, S. L., Sitch, S. A., Ciais, P., Friedlingstein, P., Peylin, P., Wang, X., Ahlström, A., Anav, A., Canadell, J. G., Cong, N., et al. (2013) · Global Change Biology · doi:10.1111/gcb.12187 · Cited by 774 · see citing works

Future productivity and carbon storage limited by terrestrial nutrient availability

Wieder, W. R., Cleveland, C. C., Smith, W. K., & Todd-Brown, K. E. (2015) · Nature Geoscience · doi:10.1038/ngeo2413 · Cited by 769 · see citing works

Daily canopy photosynthesis model through temporal and spatial scaling for remote sensing applications

Chen, J. M., Liu, J. J., Cihlar, J., & Goulden, M. L. (1999) · Ecological Modelling · doi:10.1016/s0304-3800(99)00156-8 · Cited by 761 · see citing works

Increased tree carbon storage in response to nitrogen deposition in the US

Thomas, R. Q., Canham, C. D., Weathers, K. C., & Goodale, C. L. (2009) · Nature Geoscience · doi:10.1038/ngeo721 · Cited by 738 · see citing works

Carbon–Concentration and Carbon–Climate Feedbacks in CMIP5 Earth System Models

Arora, V. K., Boer, G. J., Friedlingstein, P., Eby, M., JONES, C. D., Christian, J. R., Bonan, G. B., Bopp, L., Brovkin, V. A., Cadule, P., et al. (2013) · Journal of Climate · doi:10.1175/jcli-d-12-00494.1 · Cited by 666 · see citing works

Consequences of twenty-first-century policy for multi-millennial climate and sea-level change

Clark, P. U., Shakun, J. D., Marcott, S. A., Mix, A. C., Eby, M., Kulp, S., Levermann, A., Milne, G. A., Pfister, P. L., Santer, B. D., et al. (2016) · Nature Climate Change · doi:10.1038/nclimate2923 · Cited by 646 · see citing works

Observing terrestrial ecosystems and the carbon cycle from space

SCHIMEL, D. S., Pavlick, R., Fisher, J. B., Asner, G. P., Saatchi, S. S., Townsend, P. A., Miller, C. E., Frankenberg, C., Hibbard, K. A., & Cox, P. M. (2014) · Global Change Biology · doi:10.1111/gcb.12822 · Cited by 598 · see citing works

Integration of MODIS land and atmosphere products with a coupled-process model to estimate gross primary productivity and evapotranspiration from 1 km to global scales

Ryu, Y., Baldocchi, D., Kobayashi, H., van Ingen, C., Li, J., Black, T. A., Beringer, J., van Gorsel, E., Knohl, A., Law, B. E., et al. (2011) · Global Biogeochemical Cycles · doi:10.1029/2011gb004053 · Cited by 541 · see citing works

Long-Time-Series Global Land Surface Satellite Leaf Area Index Product Derived From MODIS and AVHRR Surface Reflectance

Xiao, Z., Liang, S., Wang, J., Xiang, Y., Zhao, X. H., & Song, J. (2016) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2016.2560522 · Cited by 500 · see citing works

A four-scale bidirectional reflectance model based on canopy architecture

Chen, J. M., & Leblanc, S. G. (1997) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/36.628798 · Cited by 499 · see citing works

Retrospective retrieval of long‐term consistent global leaf area index (1981–2011) from combined AVHRR and MODIS data

Liu, Y., Liu, R., & Chen, J. M. (2012) · Journal of Geophysical Research Atmospheres · doi:10.1029/2012jg002084 · Cited by 465 · see citing works

Large divergence of satellite and Earth system model estimates of global terrestrial CO2 fertilization

Smith, W. K., Reed, S. C., Cleveland, C. C., Ballantyne, A. P., Anderegg, W. R. L., Wieder, W. R., Liu, Y., & Running, S. W. (2015) · Nature Climate Change · doi:10.1038/nclimate2879 · Cited by 431 · see citing works

The decadal state of the terrestrial carbon cycle: Global retrievals of terrestrial carbon allocation, pools, and residence times

Bloom, A. A., Exbrayat, J., van der Velde, I. R., Feng, L., & Williams, M. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1515160113 · Cited by 411 · see citing works

Effects of foliage clumping on the estimation of global terrestrial gross primary productivity

Chen, J. M., Mo, G., Písek, J., Liu, J. J., Deng, F., Ishizawa, M., & Chan, D. S. T. (2012) · Global Biogeochemical Cycles · doi:10.1029/2010gb003996 · Cited by 394 · see citing works

Algorithm for global leaf area index retrieval using satellite imagery

Deng, F., Chen, J. M., Plummer, S., Chen, M., & Písek, J. (2006) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2006.872100 · Cited by 314 · see citing works

A model‐data intercomparison of CO2 exchange across North America: Results from the North American Carbon Program site synthesis

Schwalm, C. R., Williams, C. A., Schaefer, K. M., Anderson, R., Arain, M. A., Baker, I., Barr, A., Black, T. A., Chen, G., Chen, J. M., et al. (2010) · Journal of Geophysical Research Atmospheres · doi:10.1029/2009jg001229 · Cited by 278 · see citing works

Global clumping index map derived from the MODIS BRDF product

He, L., Chen, J. M., Písek, J., Schaaf, C., & Strahler, A. H. (2012) · Remote Sensing of Environment · doi:10.1016/j.rse.2011.12.008 · Cited by 277 · see citing works

Inconsistencies of interannual variability and trends in long‐term satellite leaf area index products

Jiang, C., Ryu, Y., Fang, H., Myneni, R. B., Claverie, M., & Zhu, Z. (2017) · Global Change Biology · doi:10.1111/gcb.13787 · Cited by 248 · see citing works

Uncertainty in the response of terrestrial carbon sink to environmental drivers undermines carbon-climate feedback predictions

Huntzinger, D. N., Michalak, A. M., Schwalm, C. R., Ciais, P., King, A. W., Fang, Y., Schaefer, K. M., Wei, Y., Cook, R. B., Fisher, J. B., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-03818-2 · Cited by 247 · see citing works

Modelling multi-year coupled carbon and water fluxes in a boreal aspen forest

Ju, W., Chen, J. M., Black, T. A., Barr, A., Liu, J. J., & Chen, B. (2006) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2006.08.008 · Cited by 227 · see citing works

Net primary productivity of China's terrestrial ecosystems from a process model driven by remote sensing

Feng, X., Liu, G., Chen, J. M., Chen, M.-H., Liu, J. J., Ju, W., Sun, R., & Zhou, W. (2007) · Journal of Environmental Management · doi:10.1016/j.jenvman.2006.09.021 · Cited by 222 · see citing works

Spatial distribution of carbon sources and sinks in Canada's forests

Chen, J. M., Ju, W., Cihlar, J., Price, D. T., Liu, J. J., Chen, W., Pan, J., Black, A. T., & Barr, A. (2003) · Tellus B · doi:10.3402/tellusb.v55i2.16711 · Cited by 216 · see citing works

Terrestrial nitrogen–carbon cycle interactions at the global scale

Zaehle, S. (2013) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2013.0125 · Cited by 197 · see citing works

GLOBAL MAPS OF ATMOSPHERIC NITROGEN DEPOSITION, 1860, 1993, AND 2050

Dentener, F. J. (2006) · doi:10.3334/ornldaac/830 · Cited by 186 · see citing works

AN ANALYSIS OF STOMATAL CONDUCTANCE

Ball, J. T. (1988) · Cited by 170 · see citing works

Integrating remotely sensed data with an ecosystem model to estimate net primary productivity in East Asia

Matsushita, B., & Tamura, M. (2002) · Remote Sensing of Environment · doi:10.1016/s0034-4257(01)00331-5 · Cited by 143 · see citing works

Evaluation of leaf‐to‐canopy upscaling methodologies against carbon flux data in North America

Sprintsin, M., Chen, J. M., Desai, A. R., & Gough, C. M. (2012) · Journal of Geophysical Research Atmospheres · doi:10.1029/2010jg001407 · Cited by 125 · see citing works

Satellite based estimates underestimate the effect of CO2 fertilization on net primary productivity

Kauwe, M. G. D., Keenan, T. F., Medlyn, B. E., Prentice, I. C., & Terrer, C. (2016) · Nature Climate Change · doi:10.1038/nclimate3105 · Cited by 100 · see citing works

Future carbon balance of China's forests under climate change and increasing CO2

Ju, W. M., Chen, J. M., Harvey, D., & Wang, S. (2006) · Journal of Environmental Management · doi:10.1016/j.jenvman.2006.04.028 · Cited by 97 · see citing works

Simulation and scaling of temporal variation in gross primary production for coniferous and deciduous temperate forests

Wang, Q., Tenhunen, J., R, E. F. A., Bernhofer, C., Granier, A., & Vesala, T. (2003) · Global Change Biology · doi:10.1111/j.1365-2486.2003.00716.x · Cited by 91 · see citing works

High‐Pbehavior of anorthite composition and some phase relations of the CaO‐Al2O3‐SiO2 system to the lower mantle of the Earth, and their geophysical implications

Liu, X., Ohfuji, H., Nishiyama, N., He, Q., Sanehira, T., & Irifune, T. (2012) · Journal of Geophysical Research Atmospheres · doi:10.1029/2012jb009290 · Cited by 86 · see citing works

Synergy of rising nitrogen depositions and atmospheric CO2 on land carbon uptake moderately offsets global warming

Churkina, G., Brovkin, V. A., von Bloh, W., Trusilova, K., Jung, M., & Dentener, F. J. (2009) · Global Biogeochemical Cycles · doi:10.1029/2008gb003291 · Cited by 61 · see citing works

Evapotranspiration and water yield over China's landmass from 2000 to 2010

Liu, Y., Zhou, Y., Ju, W., Chen, J. M., Wang, S., He, H., Wang, H., Guan, D., Zhao, F., Li, Y., et al. (2013) · Hydrology and earth system sciences · doi:10.5194/hess-17-4957-2013 · Cited by 61 · see citing works

Plant community feedbacks and long-term ecosystem responses to multi-factored global change

Langley, J. A., & Hungate, B. A. (2014) · AoB Plants · doi:10.1093/aobpla/plu035 · Cited by 58 · see citing works

Historical and future quantification of terrestrial carbon sequestration from a Greenhouse-Gas-Value perspective

Bayer, A. D., Pugh, T. A. M., Krause, A., & Arneth, A. (2015) · Global Environmental Change · doi:10.1016/j.gloenvcha.2015.03.004 · Cited by 46 · see citing works

Large-eddy simulation of double-plume formation induced by CO2 dissolution in the ocean

Chen, B., Song, Y., Nishio, M., & Akai, M. (2003) · Tellus B · doi:10.1034/j.1600-0889.2003.01434.x · Cited by 45 · see citing works

Understanding the Land Carbon Cycle with Space Data: Current Status and Prospects

Exbrayat, J., Bloom, A. A., Carvalhais, N., Fischer, R., Huth, A., MacBean, N., & Williams, M. (2019) · Surveys in Geophysics · doi:10.1007/s10712-019-09506-2 · Cited by 38 · see citing works

Estimated global nitrogen deposition using NO2column density

Lu, X., Jiang, H. T., Zhang, X., Liu, J., Zhang, Z., Jin, J., Wang, Y., Xu, J., & Cheng, M. (2013) · International Journal of Remote Sensing · doi:10.1080/01431161.2013.853894 · Cited by 30 · see citing works

Characteristics, drivers and feedbacks of global greening

Piao, S. L., Wang, X., Park, T., Chen, C., Lian, X., He, Y. L., Bjerke, J. W., Chen, A., Ciais, P., Tømmervik, H., et al. (2019) · Nature Reviews Earth & Environment · doi:10.1038/s43017-019-0001-x · Cited by 2,305 · see citing works

Pervasive shifts in forest dynamics in a changing world

McDowell, N. G., Allen, C. D., Anderson‐Teixeira, K. J., Aukema, B. H., Bond‐Lamberty, B., Chini, L. P., Clark, J. S., Dietze, M. C., Grossiord, C., Hanbury‐Brown, A. R., et al. (2020) · Science · doi:10.1126/science.aaz9463 · Cited by 1,358 · see citing works

Technologies and perspectives for achieving carbon neutrality

Wang, F., Harindintwali, J. D., Yuan, Z., Wang, M., Wang, F., Li, S., Yin, Z., Huang, L., Fu, Y., Li, L., et al. (2021) · The Innovation · doi:10.1016/j.xinn.2021.100180 · Cited by 1,330 · see citing works

Recent global decline of CO 2 fertilization effects on vegetation photosynthesis

Wang, S., Zhang, Y., Ju, W., Chen, J. M., Ciais, P., Cescatti, A., Sardans, J., Janssens, I. A., Wu, M., Berry, J. A., et al. (2020) · Science · doi:10.1126/science.abb7772 · Cited by 733 · see citing works

Terrestrial carbon sinks in China and around the world and their contribution to carbon neutrality

Yang, Y., Shi, Y., Sun, W., Chang, J., Zhu, J., Chen, L., Wang, X., Guo, Y., Zhang, H., Yu, L., et al. (2022) · Science China Life Sciences · doi:10.1007/s11427-021-2045-5 · Cited by 483 · see citing works

Forest expansion dominates China’s land carbon sink since 1980

Yu, Z., Ciais, P., Piao, S. L., Houghton, R. A., Lü, C., Tian, H., Agathokleous, E., Kattel, G., Sitch, S. A., Goll, D. S., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-32961-2 · Cited by 372 · see citing works

A planetary boundary for green water

Wang-Erlandsson, L., Tobian, A., van der Ent, R. J., Fetzer, I., te Wierik, S., Porkka, M., Staal, A., Jaramillo, F., Dahlmann, H., Singh, C., et al. (2022) · Nature Reviews Earth & Environment · doi:10.1038/s43017-022-00287-8 · Cited by 366 · see citing works

Evolution of evapotranspiration models using thermal and shortwave remote sensing data

Chen, J. M., & Liu, J. J. (2019) · Remote Sensing of Environment · doi:10.1016/j.rse.2019.111594 · Cited by 337 · see citing works

Tracking the seasonal and inter-annual variations of global gross primary production during last four decades using satellite near-infrared reflectance data

Wang, S., Zhang, Y., Ju, W., Qiu, B., & Zhang, Z. (2020) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2020.142569 · Cited by 321 · see citing works

Climate change: Strategies for mitigation and adaptation

Wang, F., Harindintwali, J. D., Wei, K., Shan, Y., Mi, Z., Costello, M. J., Grunwald, S., Feng, Z., Wang, F., Guo, Y., et al. (2023) · The Innovation Geoscience · doi:10.59717/j.xinn-geo.2023.100015 · Cited by 255 · see citing works

Spatial and temporal variations in global soil respiration and their relationships with climate and land cover

Huang, N., Wang, L., Song, X., Black, T. A., Jassal, R. S., Myneni, R. B., Wu, C., Wang, L., Song, W., Ji, D., et al. (2020) · Science Advances · doi:10.1126/sciadv.abb8508 · Cited by 226 · see citing works

Biophysical impacts of earth greening can substantially mitigate regional land surface temperature warming

Li, Y., Li, Z.-L., Wu, H. B., Zhou, C., Liu, X., Leng, P., Yang, P., Wu, W., Tang, R., Shang, G., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-35799-4 · Cited by 226 · see citing works

Spatiotemporally consistent global dataset of the GIMMS leaf area index (GIMMS LAI4g) from 1982 to 2020

Cao, S., Li, M., Zhu, Z., Wang, Z., Zha, J., Zhao, W., Duanmu, Z., Chen, J., Zheng, Y., Chen, Y., et al. (2023) · Earth system science data · doi:10.5194/essd-15-4877-2023 · Cited by 211 · see citing works

Vegetation cover changes in China induced by ecological restoration-protection projects and land-use changes from 2000 to 2020

Cai, Y., Fei, Z., Duan, P., Jim, C. Y., Chan, N. W., Shi, J., Liu, C., Wang, J., Bahtebay, J., & Ma, X. (2022) · CATENA · doi:10.1016/j.catena.2022.106530 · Cited by 202 · see citing works

Ecological restoration programs dominate vegetation greening in China

Song, W., Feng, Y., & Wang, Z. (2022) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2022.157729 · Cited by 190 · see citing works

CO 2 fertilization of terrestrial photosynthesis inferred from site to global scales

Chen, C., Riley, W. J., Prentice, I. C., & Keenan, T. F. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2115627119 · Cited by 189 · see citing works

Effectiveness and driving mechanism of ecological restoration efforts in China from 2009 to 2019

Zhang, Y., Zhao, X., Gong, J., Luo, F., & Pan, Y. (2023) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2023.168676 · Cited by 155 · see citing works

Where Are Global Vegetation Greening and Browning Trends Significant?

Cortés, J., Mahecha, M. D., Reichstein, M., Myneni, R. B., Chen, C., & Brenning, A. (2021) · Geophysical Research Letters · doi:10.1029/2020gl091496 · Cited by 154 · see citing works

Spatiotemporal variation and influencing factors of vegetation dynamics based on Geodetector: A case study of the northwestern Yunnan Plateau, China

Huo, H., & Sun, C. (2021) · Ecological Indicators · doi:10.1016/j.ecolind.2021.108005 · Cited by 154 · see citing works

Siberian carbon sink reduced by forest disturbances

Fan, L., Wigneron, J., Ciais, P., Chave, J., Brandt, M., Sitch, S. A., Yue, C., Bastos, A., Li, X., Qin, Y., et al. (2022) · Nature Geoscience · doi:10.1038/s41561-022-01087-x · Cited by 148 · see citing works

China’s current forest age structure will lead to weakened carbon sinks in the near future

Shang, R., Chen, J. M., Xu, M., Lin, X., Peng, L., Yu, G., He, N., Li, X., Gong, P., Liu, L., et al. (2023) · The Innovation · doi:10.1016/j.xinn.2023.100515 · Cited by 141 · see citing works

Drought Risk of Global Terrestrial Gross Primary Productivity Over the Last 40 Years Detected by a Remote Sensing‐Driven Process Model

He, Q., Ju, W., Dai, S., He, W., Song, L., Wang, S., Li, X., & Mao, G. (2021) · Journal of Geophysical Research Biogeosciences · doi:10.1029/2020jg005944 · Cited by 123 · see citing works

Enhancing ecosystem productivity and stability with increasing canopy structural complexity in global forests

Liu, X., Feng, Y., Hu, T., Luo, Y., Zhao, X., Wu, J., Maeda, E. E., Ju, W., Liu, L., Guo, Q., et al. (2024) · Science Advances · doi:10.1126/sciadv.adl1947 · Cited by 123 · see citing works

Structural complexity biases vegetation greenness measures

Zeng, Y., Hao, D., Park, T., Zhu, P., HUETE, A. R., Myneni, R. B., Knyazikhin, Y. V., Qi, J., Nemani, R., Li, F., et al. (2023) · Nature Ecology & Evolution · doi:10.1038/s41559-023-02187-6 · Cited by 120 · see citing works

Remote Sensing Time Series Analysis: A Review of Data and Applications

Fu, Y., Zhu, Z., Liu, L., Zhan, W., He, T., Shen, H., Zhao, J. Y., Liu, Y., Zhang, H., Liu, Z., et al. (2024) · Journal of Remote Sensing · doi:10.34133/remotesensing.0285 · Cited by 115 · see citing works

Radiance-based NIRv as a proxy for GPP of corn and soybean

Wu, G., Guan, K., Jiang, C., Peng, B., Kimm, H., Chen, M., Yang, X., Wang, S., Suyker, A. E., Bernacchi, C. J., et al. (2019) · Environmental Research Letters · doi:10.1088/1748-9326/ab65cc · Cited by 111 · see citing works

Nature-based Solutions can help restore degraded grasslands and increase carbon sequestration in the Tibetan Plateau

Sun, J., Wang, Y., Lee, T. M., Nie, X., Wang, T., Liang, E., Wang, Y., Zhang, L., Wang, J., Piao, S., et al. (2024) · Communications Earth & Environment · doi:10.1038/s43247-024-01330-w · Cited by 104 · see citing works

Dynamics of global dryland vegetation were more sensitive to soil moisture: Evidence from multiple vegetation indices

Liu, H., Liu, Y., Chen, Y., Fan, M., Chen, Y., Gang, C., You, Y., & Wang, Z. (2023) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2023.109327 · Cited by 103 · see citing works

Regional CO 2 fluxes from 2010 to 2015 inferred from GOSAT XCO 2 retrievals using a new version of the Global Carbon Assimilation System

Jiang, F., Wang, H., Chen, J. M., Ju, W., Tian, X., Feng, S., Li, G., Chen, Z., Zhang, S., Lu, X., et al. (2021) · Atmospheric chemistry and physics · doi:10.5194/acp-21-1963-2021 · Cited by 102 · see citing works

Spatial Heterogeneity of Vegetation Resilience Changes to Different Drought Types

Zhang, Y., Liu, X., Jiao, W., Wu, X., Zeng, X., Zhao, L., Wang, L., Guo, J., Xing, X., & Hong, Y. (2023) · Earth s Future · doi:10.1029/2022ef003108 · Cited by 102 · see citing works

Effects of land use change on ecosystem services in the China–Mongolia–Russia economic corridor

Li, J., Dong, S., Li, Y., Wang, Y., Li, Z., & Li, F. (2022) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2022.132175 · Cited by 101 · see citing works

Drylands contribute disproportionately to observed global productivity increases

Wang, S., Fu, B., Wei, F., Piao, S. L., Maestre, F. T., Wang, L., Jiao, W., Liu, Y., Li, Y., Li, C., et al. (2023) · 中国科学通报：英文版 · doi:10.1016/j.scib.2023.01.014 · Cited by 101 · see citing works

Vegetation structural change and CO2 fertilization more than offset gross primary production decline caused by reduced solar radiation in China

Chen, S., Zhang, Y., Wu, Q., Liu, S., Song, C., Xiao, J., Band, L. E., & Vose, J. M. (2020) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2020.108207 · Cited by 91 · see citing works

Causes for the increases in both evapotranspiration and water yield over vegetated mainland China during the last two decades

Sun, S., Liu, Y., Chen, H., Ju, W., Xu, C., Liu, Y., Zhou, B., Zhou, Y., Zhou, Y., & Yu, M. (2022) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2022.109118 · Cited by 91 · see citing works

Projected Increases in Global Terrestrial Net Primary Productivity Loss Caused by Drought Under Climate Change

Cao, D., Zhang, J., Han, J., Zhang, T., Yang, S., Wang, J., Prodhan, F. A., & Yao, F. (2022) · Earth s Future · doi:10.1029/2022ef002681 · Cited by 87 · see citing works

Global datasets of leaf photosynthetic capacity for ecological and earth system research

Chen, J. M., Wang, R., Liu, Y., He, L., Croft, H. L., Luo, X., Wang, H., Smith, N. G., Keenan, T. F., Prentice, I. C., et al. (2022) · Earth system science data · doi:10.5194/essd-14-4077-2022 · Cited by 87 · see citing works

Woody plant encroachment enhanced global vegetation greening and ecosystem water‐use efficiency

Deng, Y., Li, X., Shi, F., & Hu, X. (2021) · Global Ecology and Biogeography · doi:10.1111/geb.13386 · Cited by 82 · see citing works

Impact of global urban expansion on the terrestrial vegetation carbon sequestration capacity

Zhuang, Q., Shao, Z., Li, D., Huang, X., Li, Y., Altan, O., & Wu, S. (2023) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2023.163074 · Cited by 80 · see citing works

A modified two-leaf light use efficiency model for improving the simulation of GPP using a radiation scalar

Guan, X., Chen, J. M., Shen, H., & Xie, X. (2021) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2021.108546 · Cited by 79 · see citing works

Divergent Changes in Vegetation Greenness, Productivity, and Rainfall Use Efficiency Are Characteristic of Ecological Restoration Towards High-Quality Development in the Yellow River Basin, China

Yu, Y., Hua, T., Chen, L., Zhang, Z., & Pereira, P. (2023) · Engineering · doi:10.1016/j.eng.2023.07.012 · Cited by 79 · see citing works

Study of spatialtemporal changes in Chinese forest eco-space and optimization strategies for enhancing carbon sequestration capacity through ecological spatial network theory

Qiu, S., Fang, M., Yu, Q., Niu, T., Liu, H., Wang, F., Xu, C., Ai, M., & Zhang, J. (2022) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2022.160035 · Cited by 76 · see citing works

A 10-year global monthly averaged terrestrial net ecosystem exchange dataset inferred from the ACOS GOSAT v9 XCO 2 retrievals (GCAS2021)

Jiang, F., Ju, W., He, W., Wu, M., Wang, H., Wang, J., Jia, M., Feng, S., Zhang, L., & Chen, J. M. (2022) · Earth system science data · doi:10.5194/essd-14-3013-2022 · Cited by 72 · see citing works

Disaggregating climatic and anthropogenic influences on vegetation changes in Beijing-Tianjin-Hebei region of China

Jiang, M., He, Y., Conghe Song, A., Pan, Y., Qiu, T., & Tian, S. (2021) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2021.147574 · Cited by 71 · see citing works

Regional-scale vegetation-climate interactions on the Qinghai-Tibet Plateau

Diao, C., Liu, Y., Zhao, L., Ga, Z., & Zhang, Y. (2021) · Ecological Informatics · doi:10.1016/j.ecoinf.2021.101413 · Cited by 70 · see citing works

Human interventions have enhanced the net ecosystem productivity of farmland in China

Zhang, S., Chen, W., Wang, Y., Li, Q., Shi, H., Li, M., Sun, Z., Zhu, B., & Seyoum, G. (2024) · Nature Communications · doi:10.1038/s41467-024-54907-6 · Cited by 70 · see citing works

Underestimating global land greening: Future vegetation changes and their impacts on terrestrial water loss

Chai, Y., Miao, C., Slater, L. J., Ciais, P., Berghuijs, W. R., Chen, T., & Huntingford, C. (2025) · One Earth · doi:10.1016/j.oneear.2025.101176 · Cited by 69 · see citing works

Optimality principles explaining divergent responses of alpine vegetation to environmental change

Zhu, Z., Wang, H., Harrison, S. P., Prentice, I. C., Qiao, S., & Tan, S. (2022) · Global Change Biology · doi:10.1111/gcb.16459 · Cited by 68 · see citing works

MASTREE+: Time‐series of plant reproductive effort from six continents

Hacket‐Pain, A. J., Foest, J. J., Pearse, I. S., LaMontagne, J. M., Koenig, W. D., Vacchiano, G., Bogdziewicz, M., Caignard, T., Celebias, P., van Dormolen, J., et al. (2022) · Global Change Biology · doi:10.1111/gcb.16130 · Cited by 67 · see citing works

Global positive gross primary productivity extremes and climate contributions during 1982–2016

Wang, M., Wang, S., Zhao, J., Ju, W., & Hao, Z. (2021) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2021.145703 · Cited by 66 · see citing works

The impact of ecological restoration on ecosystem services change modulated by drought and rising CO2

Huang, B., Lu, F., Wang, X., Wu, X., Zheng, H., Su, Y., Yuan, Y., & Ouyang, Z. (2023) · Global Change Biology · doi:10.1111/gcb.16825 · Cited by 64 · see citing works

Remote Sensing to Study Mangrove Fragmentation and Its Impacts on Leaf Area Index and Gross Primary Productivity in the South of Peninsular Malaysia

Kanniah, K. D., Kang, C. S., Sharma, S., & Amir, A. A. (2021) · Remote Sensing · doi:10.3390/rs13081427 · Cited by 63 · see citing works

Analysis of carbon emissions from land cover change during 2000 to 2020 in Shandong Province, China

Zhu, L., Xing, H., & Hou, D. (2022) · Scientific Reports · doi:10.1038/s41598-022-12080-0 · Cited by 63 · see citing works

Terrestrial fluxes of carbon in GCP carbon budgets

Houghton, R. A. (2020) · Global Change Biology · doi:10.1111/gcb.15050 · Cited by 63 · see citing works

A Process‐Based Model Integrating Remote Sensing Data for Evaluating Ecosystem Services

Niu, Z., He, H., Peng, S., Ren, X., Zhang, L., Gu, F., Zhu, G., Peng, C. H., Li, P., Wang, J., et al. (2021) · Journal of Advances in Modeling Earth Systems · doi:10.1029/2020ms002451 · Cited by 61 · see citing works

Global evidence for the acclimation of ecosystem photosynthesis to light

Luo, X., & Keenan, T. F. (2020) · Nature Ecology & Evolution · doi:10.1038/s41559-020-1258-7 · Cited by 59 · see citing works

Ecological restoration exacerbates the agriculture-induced water crisis in North China Region

Zhou, Y. L., Dong, J., Cui, Y., Zhao, M., Wang, X., Tang, Q., Zhang, Y., Zhou, S., Metternicht, G. I., Zou, Z., et al. (2023) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2023.109341 · Cited by 59 · see citing works

Impact Assessment of Urbanization on Vegetation Net Primary Productivity: A Case Study of the Core Development Area in Central Plains Urban Agglomeration, China

Mu, W., Zhu, X., Ma, W., Han, Y., Huang, H., & Huang, X. (2022) · Environmental Research · doi:10.1016/j.envres.2023.115995 · Cited by 57 · see citing works

Climate change promotes transitions to tall evergreen vegetation in tropical Asia

Scheiter, S., Kumar, D., Corlett, R. T., Gaillard, C., Langan, L., Lapuz, R. S., Martens, C., Pfeiffer, M., & Tomlinson, K. W. (2020) · Global Change Biology · doi:10.1111/gcb.15217 · Cited by 54 · see citing works

Study of mesoscale NDVI prediction models in arid and semiarid regions of China under changing environments

Gong, X., Du, S., Li, F., & Ding, Y. (2021) · Ecological Indicators · doi:10.1016/j.ecolind.2021.108198 · Cited by 51 · see citing works

Spatiotemporal variations of global terrestrial vegetation climate potential productivity under climate change

Cao, D., Zhang, J., Xun, L., Yang, S., Wang, J., & Yao, F. (2021) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2021.145320 · Cited by 51 · see citing works

Global datasets of hourly carbon and water fluxes simulated using a satellite-based process model with dynamic parameterizations

Leng, J., Chen, J. M., Li, W., Luo, X., Xu, M., Liu, J. J., Wang, R., Rogers, C. A., Li, B., & Yan, Y. (2024) · Earth system science data · doi:10.5194/essd-16-1283-2024 · Cited by 49 · see citing works

Regulation of the global carbon and water cycles through vegetation structural and physiological dynamics

Li, W., Duveiller, G., Wieneke, S., Forkel, M., Gentine, P., Reichstein, M., Niu, S., Migliavacca, M., & Orth, R. (2024) · Environmental Research Letters · doi:10.1088/1748-9326/ad5858 · Cited by 49 · see citing works

Identification of ecologically sensitive zones affected by climate change and anthropogenic activities in Southwest China through a NDVI-based spatial-temporal model

Xu, Y., Dai, Q.-Y., Lu, Y.-G., Zhao, C., Huang, W.-T., Xu, M., & Feng, Y.-X. (2023) · Ecological Indicators · doi:10.1016/j.ecolind.2023.111482 · Cited by 48 · see citing works

Comparison of big-leaf and two-leaf light use efficiency models for GPP simulation after considering a radiation scalar

Guan, X., Chen, J. M., Shen, H., Xie, X., & Tan, J. (2021) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2021.108761 · Cited by 47 · see citing works

Multiple effects of climate changes and human activities on NPP increase in the Three-north Shelter Forest Program area

Gong, H., Cao, L., Duan, Y., Jiao, F., Xu, X., Zhang, M., Wang, K., & Liu, H. (2022) · Forest Ecology and Management · doi:10.1016/j.foreco.2022.120732 · Cited by 47 · see citing works

Estimating Aboveground Carbon Dynamic of China Using Optical and Microwave Remote-Sensing Datasets from 2013 to 2019

Chang, Z., Fan, L., Wigneron, J., Wang, Y., Ciais, P., Chave, J., Fensholt, R., Chen, J. M., Yuan, W., Ju, W., et al. (2023) · Journal of Remote Sensing · doi:10.34133/remotesensing.0005 · Cited by 47 · see citing works

Effects of land use patterns on the interannual variations of carbon sinks of terrestrial ecosystems in China

Liu, J., Wang, Z., Duan, Y., Li, X., Zhang, M., Liu, H., Xue, P., Gong, H., Wang, X., Chen, Y., et al. (2023) · Ecological Indicators · doi:10.1016/j.ecolind.2023.109914 · Cited by 47 · see citing works

Unraveling the impact of urban expansion on vegetation carbon sequestration capacity: A case study of the Yangtze River Economic Belt

Wang, J., Shao, Z., Fu, P., Zhuang, Q., Chang, J., Jing, P., Zhao, Z., Xu, Z., Wang, S., & Yang, F. (2025) · Sustainable Cities and Society · doi:10.1016/j.scs.2025.106157 · Cited by 47 · see citing works

Nonlinear relationship of greening and shifts from greening to browning in vegetation with nature and human factors along the Silk Road Economic Belt

Xu, X., Liu, H., Jiao, F., Gong, H., & Lin, Z. (2020) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2020.142553 · Cited by 47 · see citing works

Bacterial biogeography in China and its association to land use and soil organic carbon

Lu, T., Xu, N., Lei, C., Zhang, Q., Zhang, Z., Sun, L., He, F., Zhou, N., Peñuelas, J., Zhu, Y., et al. (2023) · Soil Ecology Letters · doi:10.1007/s42832-023-0172-8 · Cited by 46 · see citing works

Estimating crop leaf area index and chlorophyll content using a deep learning-based hyperspectral analysis method

Yue, J., Wang, J., Zhang, Z., Li, C., Yang, H. F., Feng, H., & Guo, W. F. (2024) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2024.109653 · Cited by 46 · see citing works

Isolating the direct and indirect impacts of urbanization on vegetation carbon sequestration capacity in a large oasis city: evidence from Urumqi, China

Zhuang, Q., Shao, Z., Li, D., Huang, X., Altan, O., Wu, S., & Li, Y. (2022) · Geo-spatial Information Science · doi:10.1080/10095020.2022.2118624 · Cited by 45 · see citing works

Environmental and biotic controls on the interannual variations in CO2 fluxes of a continental monsoon temperate forest

Liu, F., Wang, X., Wang, C., & Zhang, Q. (2020) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2020.108232 · Cited by 45 · see citing works

Spatiotemporal variation of LAI in different vegetation types and its response to climate change in China from 2001 to 2020

Ma, Y., Wang, W., Jin, S., Li, H., Liu, B., Gong, W. Y., Fan, R., & Li, H. (2023) · Ecological Indicators · doi:10.1016/j.ecolind.2023.111101 · Cited by 44 · see citing works

Principles for satellite monitoring of vegetation carbon uptake

Prentice, I. C., Balzarolo, M., Bloomfield, K. J., Chen, J. M., Dechant, B., Ghent, D. J., Janssens, I. A., Luo, X., Morfopoulos, C., Ryu, Y., et al. (2024) · Nature Reviews Earth & Environment · doi:10.1038/s43017-024-00601-6 · Cited by 44 · see citing works

Ecological engineering induced carbon sinks shifting from decreasing to increasing during 1981–2019 in China

Xu, X., Liu, J., Jiao, F., Zhang, K., Ye, X., Gong, H., Lin, N., & Zou, C. (2022) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2022.161037 · Cited by 44 · see citing works

Pixel-level parameter optimization of a terrestrial biosphere model for improving estimation of carbon fluxes with an efficient model–data fusion method and satellite-derived LAI and GPP data

Ma, R., Xiao, J., Liang, S., Ma, H., He, T., Guo, D., Liu, X., & Lü, H. (2022) · Geoscientific model development · doi:10.5194/gmd-15-6637-2022 · Cited by 43 · see citing works

Winter snow cover influences growing-season vegetation productivity non-uniformly in the Northern Hemisphere

Liu, H., Xiao, P., Zhang, X., Chen, S., Wang, Y., & Wang, W. (2023) · Communications Earth & Environment · doi:10.1038/s43247-023-01167-9 · Cited by 43 · see citing works

Temporally corrected long-term satellite solar-induced fluorescence leads to improved estimation of global trends in vegetation photosynthesis during 1995–2018

Wang, S., Zhang, Y., Ju, W., Wu, M., Liu, L., He, W., & Peñuelas, J. (2022) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2022.10.018 · Cited by 43 · see citing works

The rising impact of urbanization-caused CO2 emissions on terrestrial vegetation

Yang, S., Yang, J., Shi, S., Song, S., Luo, Y., & Du, L. (2023) · Ecological Indicators · doi:10.1016/j.ecolind.2023.110079 · Cited by 42 · see citing works

Inter-comparisons of mean, trend and interannual variability of global terrestrial gross primary production retrieved from remote sensing approach

Dong, J., Li, L., Li, Y., & Yu, Q. (2022) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2022.153343 · Cited by 41 · see citing works

Underestimated Interannual Variability of Terrestrial Vegetation Production by Terrestrial Ecosystem Models

Lin, S., Hu, Z., Wang, Y., Chen, X., He, B., Song, Z., Sun, S., Wu, C., Zheng, Y., Xia, X., et al. (2023) · Global Biogeochemical Cycles · doi:10.1029/2023gb007696 · Cited by 41 · see citing works

Sensitivity of Estimated Total Canopy SIF Emission to Remotely Sensed LAI and BRDF Products

Zhang, Z., Zhang, Y., Chen, J. M., Ju, W., Migliavacca, M., & El-Madany, T. S. (2021) · Journal of Remote Sensing · doi:10.34133/2021/9795837 · Cited by 41 · see citing works

Contrasting temperature effects on the velocity of early‐ versus late‐stage vegetation green‐up in the Northern Hemisphere

Hong, S., Zhang, Y., Yao, Y., Meng, F., Zhao, Q., & Zhang, Y. (2022) · Global Change Biology · doi:10.1111/gcb.16414 · Cited by 41 · see citing works

Quantitative contribution of the Grain for Green Program to vegetation greening and its spatiotemporal variation across the Chinese Loess Plateau

Song, Y., Wang, Y., Jin, L., Shi, W., Aryal, J., & Comber, A. (2022) · Land Degradation and Development · doi:10.1002/ldr.4269 · Cited by 40 · see citing works

Negative relationship between photosynthesis and late‐stage canopy development and senescence over Tibetan Plateau

Meng, F., Liu, D., Wang, Y., Wang, S., & Wang, T. (2023) · Global Change Biology · doi:10.1111/gcb.16668 · Cited by 40 · see citing works

Enhanced vegetation productivity driven primarily by rate not duration of carbon uptake

Liu, Z., Ciais, P., Peñuelas, J., Xia, J., Zhou, S., Zhang, Y., & Fu, Y. H. (2025) · Nature Climate Change · doi:10.1038/s41558-025-02311-3 · Cited by 40 · see citing works

Rising CO2 and warming reduce global canopy demand for nitrogen

Dong, N., Wright, I. J., Chen, J. M., Luo, X., Wang, H., Keenan, T. F., Smith, N. G., & Prentice, I. C. (2022) · New Phytologist · doi:10.1111/nph.18076 · Cited by 40 · see citing works

The current status, potential and challenges of remote sensing for large-scale mangrove studies

Lu, Y., & Wang, L. (2022) · International Journal of Remote Sensing · doi:10.1080/01431161.2022.2145584 · Cited by 38 · see citing works

Persistence of increasing vegetation gross primary production under the interactions of climate change and land use changes in Northwest China

Xu, X., Jiao, F., Liu, H., Gong, H., Zou, C., Lin, N., Xue, P., Zhang, M., & Wang, K. (2022) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2022.155086 · Cited by 38 · see citing works

Unfolding the effectiveness of ecological restoration programs in enhancing vegetation carbon sinks across different climate zones in China

Shi, Y., Zhang, B., Li, L., Shuang, W., Zhang, H., Sun, H., & Han, X. (2024) · Resources Conservation and Recycling · doi:10.1016/j.resconrec.2024.107974 · Cited by 37 · see citing works

Divergent trends of ecosystem‐scale photosynthetic efficiency between arid and humid lands across the globe

Wei, F., Wang, S., Fu, B., Wang, L., Zhang, W., Wang, L., Pan, N., & Fensholt, R. (2022) · Global Ecology and Biogeography · doi:10.1111/geb.13561 · Cited by 37 · see citing works

Spatiotemporal patterns of net primary productivity of subtropical forests in China and its response to drought

Yin, S., Du, H., Mao, F., Li, X., Zhou, G., Xu, C., & Sun, J. (2023) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2023.169439 · Cited by 36 · see citing works

Evaluation of Evapotranspiration Models Using Different LAI and Meteorological Forcing Data from 1982 to 2017

Chen, H., Zhu, G., Zhang, K., Bi, J., Jia, X., Ding, B., Zhang, Y., Shang, S., Zhao, N., & Qin, W. (2020) · Remote Sensing · doi:10.3390/rs12152473 · Cited by 36 · see citing works

Global photosynthetic capacity of C3 biomes retrieved from solar-induced chlorophyll fluorescence and leaf chlorophyll content

Liu, Y., Chen, J. M., He, L., Wang, R., Smith, N. G., Keenan, T. F., Rogers, C. A., Li, W., & Leng, J. (2023) · Remote Sensing of Environment · doi:10.1016/j.rse.2023.113457 · Cited by 36 · see citing works

Modeling China's terrestrial ecosystem gross primary productivity with BEPS model: Parameter sensitivity analysis and model calibration

Xing, X., Wu, M., Zhang, W., Ju, W., Tagesson, T., He, W., Wang, S., Wang, J., Lu, H., Yuan, S., et al. (2023) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2023.109789 · Cited by 36 · see citing works

Newly established forests dominated global carbon sequestration change induced by land cover conversions

Peng, D., Zhang, B., Zheng, S., Ju, W., Chen, J. M., Ciais, P., Guo, H., Pan, Y., Yu, L., Xu, Y., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-61956-y · Cited by 35 · see citing works

Contribution of land use and cover change (LUCC) to the global terrestrial carbon uptake

Feng, H., Wang, S., Zou, B., Yang, Z., Wang, S., & Wang, W. (2023) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2023.165932 · Cited by 34 · see citing works

Spatiotemporal pattern of NPP and its response to climatic factors in the Yangtze River Economic Belt

Jia, L., Yu, K., Li, Z., Li, P., Xu, G., Cong, P., & Li, B. (2024) · Ecological Indicators · doi:10.1016/j.ecolind.2024.112017 · Cited by 34 · see citing works

Hyperspectral Response of Agronomic Variables of Wheat-Like Canopies to Background Optical Variability

Gao, L., Darvishzadeh, R., Somers, B., Johnson, B. A., Wang, Y., Verrelst, J., Wang, X., & Atzberger, C. (2022) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2022.109178 · Cited by 34 · see citing works

Attributing trends in the land carbon cycle using process-based DGVMs and global scale observations

O’Sullivan, M., Friedlingstein, P., & Sitch, S. A. (2023) · doi:10.5194/egusphere-egu23-13377

Recent divergence in the contributions of tropical and boreal forests to the terrestrial carbon sink

Tagesson, T., Schurgers, G., Horion, S., Ciais, P., Tian, F., Brandt, M., Ahlström, A., Wigneron, J., Ardö, J., Olin, S., et al. (2020) · Nature Ecology & Evolution · doi:10.1038/s41559-019-1090-0 · Cited by 204 · see citing works

Forest structure and vegetation dynamics as a driver of global carbon uptake

Poulter, B., Calle, L., Pugh, T. A. M., McDowell, N. G., Ciais, P., Besnard, S., Carvalhais, N., Neigh, C. S. R., & Montensano, P. (2020) · doi:10.5194/egusphere-egu2020-11676

Slow-down of the greening trend in natural vegetation with further rise in atmospheric CO2Preprint

Winkler, A. J., Myneni, R. B., Hannart, A., Sitch, S. A., Haverd, V., Lombardozzi, D., Arora, V. K., Pongratz, J., Nabel, J. E. M. S., Goll, D. S., et al. (2020) · doi:10.1002/essoar.10503202.1 · Cited by 3 · see citing works

Contribution of semi-arid ecosystems to interannual variability of the global carbon cycle

Poulter, B., Frank, D., Ciais, P., Myneni, R. B., Andela, N., Bi, J., Broquet, G., Canadell, J. G., Chevallier, F., Liu, Y., et al. (2014) · Nature · doi:10.1038/nature13376 · Cited by 1,454 · see citing works