160 citations as recorded by crossref.

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17. Seasonal Effect of the Vegetation Clumping Index on Gross Primary Productivity Estimated by a Two-Leaf Light Use Efficiency Model Z. Li et al. 10.3390/rs15235537
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19. Spatiotemporal patterns and driving factors of gross primary productivity over the Mongolian Plateau steppe in the past 20 years L. Ding et al. 10.1016/j.scitotenv.2024.170886
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25. Mango‐GPP: A Process‐Based Model for Simulating Gross Primary Productivity of Mangrove Ecosystems Y. Tang et al. 10.1029/2023MS003714
26. Exploring the Interactive Influences of Climate Change and Urban Development on the Fraction of Absorbed Photosynthetically Active Radiation S. Nwokolo et al. 10.3390/atmos15030253
27. On the Uncertainty Induced by Pedotransfer Functions in Terrestrial Biosphere Modeling A. Paschalis et al. 10.1029/2021WR031871
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29. Global Vegetation Photosynthetic Phenology Products Based on MODIS Vegetation Greenness and Temperature: Modeling and Evaluation X. Xu et al. 10.3390/rs13245080
30. An end-to-end satellite-based GPP estimation model devoid of meteorological and land cover data W. Zhu et al. 10.1016/j.agrformet.2023.109337
31. Climate impact greater on vegetation NPP but human enhance benefits after the Grain for Green Program in Loess Plateau W. Li et al. 10.1016/j.ecolind.2023.111201
32. Recent global decline of CO 2 fertilization effects on vegetation photosynthesis S. Wang et al. 10.1126/science.abb7772
33. Probabilistic impacts of compound dry and hot events on global gross primary production X. Wu & D. Jiang 10.1088/1748-9326/ac4c5b
34. Estimation of National Forest Aboveground Biomass from Multi-Source Remotely Sensed Dataset with Machine Learning Algorithms in China Z. Tang et al. 10.3390/rs14215487
35. Changing Climate Threatens Irrigation Benefits of Maize Gross Primary Productivity in China D. Liao et al. 10.1029/2022EF003474
36. Underestimated Interannual Variability of Terrestrial Vegetation Production by Terrestrial Ecosystem Models S. Lin et al. 10.1029/2023GB007696
37. Persistence of increasing vegetation gross primary production under the interactions of climate change and land use changes in Northwest China X. Xu et al. 10.1016/j.scitotenv.2022.155086
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41. Estimating Global GPP From the Plant Functional Type Perspective Using a Machine Learning Approach R. Guo et al. 10.1029/2022JG007100
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43. Light use efficiency models incorporating diffuse radiation impacts for simulating terrestrial ecosystem gross primary productivity: A global comparison H. Xu et al. 10.1016/j.agrformet.2023.109376
44. Dominant Impacting Factors on Water-Use Efficiency Variation in Inner Mongolia from 2001 to 2018: Vegetation or Climate? H. Luo et al. 10.3390/rs14184541
45. Drought offsets the vegetation greenness-induced gross primary productivity from 1982 to 2018 in China L. Zheng et al. 10.1016/j.jhydrol.2024.130881
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48. High-Resolution Remote Sensing Images Can Better Estimate Changes in Carbon Assimilation of an Urban Forest Q. Huang et al. 10.3390/rs15010071
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50. Different Satellite Products Revealing Variable Trends in Global Gross Primary Production Y. Bai et al. 10.1029/2022JG006918
51. Control of vapor pressure deficit (VPD) in micro-plant factory (McPF) to enhanced spinach microgreens growth M. Dzaky et al. 10.1016/j.scienta.2024.113229
52. Assessment of vegetation change on the Mongolian Plateau over three decades using different remote sensing products Y. Bai et al. 10.1016/j.jenvman.2022.115509
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54. A practical topographic correction method for improving Moderate Resolution Imaging Spectroradiometer gross primary productivity estimation over mountainous areas X. Xie et al. 10.1016/j.jag.2021.102522
55. SIF-based GPP modeling for evergreen forests considering the seasonal variation in maximum photochemical efficiency R. Chen et al. 10.1016/j.agrformet.2023.109814
56. Incorporating water availability into autumn phenological model improved China’s terrestrial gross primary productivity (GPP) simulation J. Peng et al. 10.1088/1748-9326/ac1a3b
57. Assessment of Carbon Productivity Trends and Their Resilience to Drought Disturbances in the Middle East Based on Multi-Decadal Space-Based Datasets K. Alsafadi et al. 10.3390/rs14246237
58. Spatial patterns and recent temporal trends in global transpiration modelled using eco-evolutionary optimality S. Li et al. 10.1016/j.agrformet.2023.109702
59. The Ongoing Greening in Southwest China despite Severe Droughts and Drying Trends X. Chen et al. 10.3390/rs13173374
60. Comparative assessment of leaf photosynthetic capacity datasets for estimating terrestrial gross primary productivity M. Xu et al. 10.1016/j.scitotenv.2024.171400
61. Landsat-observed changes in forest cover and attribution analysis over Northern China from 1996‒2020 X. Liu et al. 10.1080/15481603.2023.2300214
62. Response of Ecosystem Carbon–Water Fluxes to Extreme Drought in West Asia K. Alsafadi et al. 10.3390/rs16071179
63. Drylands contribute disproportionately to observed global productivity increases S. Wang et al. 10.1016/j.scib.2023.01.014
64. A daily and 500 m coupled evapotranspiration and gross primary production product across China during 2000–2020 S. He et al. 10.5194/essd-14-5463-2022
65. Spatiotemporal Characteristics and Hazard Assessments of Maize (Zea mays L.) Drought and Waterlogging: A Case Study in Songliao Plain of China R. Wang et al. 10.3390/rs15030665
66. How Well Can Matching High Spatial Resolution Landsat Data with Flux Tower Footprints Improve Estimates of Vegetation Gross Primary Production X. Huang et al. 10.3390/rs14236062
67. Can Gross Primary Productivity Products be effectively evaluated in regions with few observation data? W. Zhang et al. 10.1080/15481603.2023.2213489
68. Transpolar and bi-directional migration strategies of black-legged kittiwakes Rissa tridactyla from a colony in Novaya Zemlya, Barents Sea, Russia A. Ezhov et al. 10.3354/meps13889
69. Inter-comparisons of mean, trend and interannual variability of global terrestrial gross primary production retrieved from remote sensing approach J. Dong et al. 10.1016/j.scitotenv.2022.153343
70. Hydroclimatic extremes contribute to asymmetric trends in ecosystem productivity loss J. Li et al. 10.1038/s43247-023-00869-4
71. Mapping Chinese annual gross primary productivity with eddy covariance measurements and machine learning X. Zhu et al. 10.1016/j.scitotenv.2022.159390
72. Improving the Gross Primary Production Estimate by Merging and Downscaling Based on Deep Learning J. Lu et al. 10.3390/f14061201
73. Comprehensive Assessment of Performances of Long Time-Series LAI, FVC and GPP Products over Mountainous Areas: A Case Study in the Three-River Source Region, China W. Zhang et al. 10.3390/rs14010061
74. Decline in stability of forest productivity in the tropics as determined by canopy water content F. Liu et al. 10.1016/j.isci.2023.107211
75. Growth peak of vegetation and its response to drought on the Mongolian Plateau Y. Bai & S. Li 10.1016/j.ecolind.2022.109150
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78. An improved light use efficiency model by considering canopy nitrogen concentrations and multiple environmental factors H. Zhang et al. 10.1016/j.agrformet.2023.109359
79. New Global MuSyQ GPP/NPP Remote Sensing Products From 1981 to 2018 J. Wang et al. 10.1109/JSTARS.2021.3076075
80. Long-term topographic effect on remotely sensed vegetation index-based gross primary productivity (GPP) estimation at the watershed scale X. Xie et al. 10.1016/j.jag.2022.102755
81. Climatic limitations on grassland photosynthesis over the Tibetan Plateau shifted from temperature to water J. Xie et al. 10.1016/j.scitotenv.2023.167663
82. Intercomparison of global terrestrial carbon fluxes estimated by MODIS and Earth system models Q. Hu et al. 10.1016/j.scitotenv.2021.152231
83. Increased drought effects on the phenology of autumn leaf senescence C. Wu et al. 10.1038/s41558-022-01464-9
84. Assessment of dynamic drought-induced ecosystem risk: Integrating time-varying hazard frequency, exposure and vulnerability W. Fang et al. 10.1016/j.jenvman.2023.118176
85. Estimating Maize Yield from 2001 to 2019 in the North China Plain Using a Satellite-Based Method C. Hai et al. 10.3390/rs15174216
86. A traceability analysis system for model evaluation on land carbon dynamics: design and applications J. Zhou et al. 10.1186/s13717-021-00281-w
87. Improving estimates of sub-daily gross primary production from solar-induced chlorophyll fluorescence by accounting for light distribution within canopy R. Chen et al. 10.1016/j.rse.2023.113919
88. Spatial, Phenological, and Inter-Annual Variations of Gross Primary Productivity in the Arctic from 2001 to 2019 D. Ma et al. 10.3390/rs13152875
89. Maximum Gross Primary Productivity Dominates the Trend in Gross Primary Productivity in China’s Deciduous Forest Ecosystems Y. Lv et al. 10.3390/f14091880
90. Evolution of light use efficiency models: Improvement, uncertainties, and implications Y. Pei et al. 10.1016/j.agrformet.2022.108905
91. Exploring light use efficiency models capacities in characterizing environmental impacts on paddy rice productivity N. Cheng et al. 10.1016/j.jag.2023.103179
92. A framework for identifying propagation from meteorological to ecological drought events Y. Wang et al. 10.1016/j.jhydrol.2023.130142
93. 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 R. Ma et al. 10.5194/gmd-15-6637-2022
94. Spatiotemporal changes of gross primary productivity and its response to drought in the Mongolian Plateau under climate change X. Zhao et al. 10.1007/s40333-024-0090-3
95. Vegetation photosynthetic phenology dataset in northern terrestrial ecosystems J. Fang et al. 10.1038/s41597-023-02224-w
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131. Seasonal and Spatial Changes of Primary Production in the Baltic Sea (Europe) Based on in situ Measurements in the Period of 1993–2018 A. Zdun et al. 10.3389/fmars.2020.604532
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135. The Three Rivers Source Region Alpine Grassland Ecosystem Was a Weak Carbon Sink Based on BEPS Model Analysis F. Lü & X. Yan 10.3390/rs14194795
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157. Variability, Trend, and Extremes of the South American Vegetation‐Climate System: Results From a Coupled Regional Model A. Erfanian et al. 10.1029/2021JD035691
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