298 citations as recorded by crossref.

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14. Recent Seasonal Variations in Ecosystem Water Use Efficiency in China's Key Tropical‐Subtropical Transitional Zones in Response to Climate Change L. Liu et al. 10.1029/2022GB007635
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23. Parameter uncertainty dominates C-cycle forecast errors over most of Brazil for the 21st century T. Smallman et al. 10.5194/esd-12-1191-2021
24. Spatiotemporal lagging of predictors improves machine learning estimates of atmosphere–forest CO2 exchange M. Kämäräinen et al. 10.5194/bg-20-897-2023
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28. Drivers of Decadal Carbon Fluxes Across Temperate Ecosystems A. Desai et al. 10.1029/2022JG007014
29. Exploring neuro-symbolic AI applications in geoscience: implications and future directions for mineral prediction W. Chen et al. 10.1007/s12145-024-01278-7
30. Trend in seasonal amplitude of northern net ecosystem production: Simulated results from IAP DGVM in CAS-ESM2 J. Zhu & X. Zeng 10.1016/j.aosl.2023.100445
31. Science to Commerce: A Commercial-Scale Protocol for Carbon Trading Applied to a 28-Year Record of Forest Carbon Monitoring at the Harvard Forest N. Bautista et al. 10.3390/land10020163
32. Distinct response of gross primary productivity in five terrestrial biomes to precipitation variability F. Ritter et al. 10.1038/s43247-020-00034-1
33. Inner Mongolia grasslands act as a weak regional carbon sink: A new estimation based on upscaling eddy covariance observations C. You et al. 10.1016/j.agrformet.2023.109719
34. Land surface conductance linked to precipitation: Co‐evolution of vegetation and climate in Earth system models P. Franks et al. 10.1111/gcb.17188
35. Partitioning gross primary production of a boreal forest among species and strata: A multi-method approach A. Vernay et al. 10.1016/j.agrformet.2023.109857
36. Carbon cycle: ESP and UAV data processing approaches for forest ecosystem monitoring examples M. Platonova et al. 10.18303/2619-1563-2023-4-45
37. Evaluating photosynthetic activity across Arctic-Boreal land cover types using solar-induced fluorescence R. Cheng et al. 10.1088/1748-9326/ac9dae
38. Five years of variability in the global carbon cycle: comparing an estimate from the Orbiting Carbon Observatory-2 and process-based models Z. Chen et al. 10.1088/1748-9326/abfac1
39. Leaf-scale quantification of the effect of photosynthetic gas exchange on Δ<sup>17</sup>O of atmospheric CO<sub>2</sub> G. Adnew et al. 10.5194/bg-17-3903-2020
40. A Regional Earth System Data Lab for Understanding Ecosystem Dynamics: An Example from Tropical South America L. Estupinan-Suarez et al. 10.3389/feart.2021.613395
41. Global nature run data with realistic high-resolution carbon weather for the year of the Paris Agreement A. Agustí-Panareda et al. 10.1038/s41597-022-01228-2
42. Evaluating the Performance of the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC) Tailored to the Pan‐Canadian Domain S. Curasi et al. 10.1029/2022MS003480
43. Increasing the spatial and temporal impact of ecological research: A roadmap for integrating a novel terrestrial process into an Earth system model E. Kyker‐Snowman et al. 10.1111/gcb.15894
44. Environment-sensitivity functions for gross primary productivity in light use efficiency models S. Bao et al. 10.1016/j.agrformet.2021.108708
45. Assessing the Reliability of Global Carbon Flux Dataset Compared to Existing Datasets and Their Spatiotemporal Characteristics Z. Xiong et al. 10.3390/cli11100205
46. VODCA2GPP – a new, global, long-term (1988–2020) gross primary production dataset from microwave remote sensing B. Wild et al. 10.5194/essd-14-1063-2022
47. Biome-scale temperature sensitivity of ecosystem respiration revealed by atmospheric CO2 observations W. Sun et al. 10.1038/s41559-023-02093-x
48. New Drought Projections Over East Asia Using Evapotranspiration Deficits From the CMIP6 Warming Scenarios D. Kim et al. 10.1029/2020EF001697
49. Observational Constraints on the Response of High‐Latitude Northern Forests to Warming J. Liu et al. 10.1029/2020AV000228
50. Detecting vulnerability of humid tropical forests to multiple stressors S. Saatchi et al. 10.1016/j.oneear.2021.06.002
51. Practical Guide to Measuring Wetland Carbon Pools and Fluxes S. Bansal et al. 10.1007/s13157-023-01722-2
52. Retrieval of solar-induced chlorophyll fluorescence (SIF) from satellite measurements: comparison of SIF between TanSat and OCO-2 L. Yao et al. 10.5194/amt-15-2125-2022
53. 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
54. Evaluating gross primary productivity over 9 ChinaFlux sites based on random forest regression models, remote sensing, and eddy covariance data X. Chang et al. 10.1016/j.scitotenv.2023.162601
55. Contrasting Trends in Water Use Efficiency of the Alpine Grassland in Tibetan Plateau N. Ma & Y. Zhang 10.1029/2022JD036919
56. Importance of the memory effect for assessing interannual variation in net ecosystem exchange W. Liu et al. 10.1016/j.agrformet.2023.109691
57. Modelling changes in vegetation productivity and carbon balance under future climate scenarios in southeastern Australia B. Wang et al. 10.1016/j.scitotenv.2024.171748
58. Terrestrial carbon sinks in China and around the world and their contribution to carbon neutrality Y. Yang et al. 10.1007/s11427-021-2045-5
59. An Observation‐Driven Approach to Improve Vegetation Phenology in a Global Land Surface Model J. Kolassa et al. 10.1029/2020MS002083
60. Leveraging observed soil heterotrophic respiration fluxes as a novel constraint on global‐scale models J. Jian et al. 10.1111/gcb.15795
61. Monitoring of carbon-water fluxes at Eurasian meteorological stations using random forest and remote sensing M. Xie et al. 10.1038/s41597-023-02473-9
62. Improved dryland carbon flux predictions with explicit consideration of water-carbon coupling M. Barnes et al. 10.1038/s43247-021-00308-2
63. Revealing how intra- and inter-annual variability of carbon uptake (GPP) affects wood cell biomass in an eastern white pine forest P. Puchi et al. 10.1088/1748-9326/acb2df
64. Definitions and methods to estimate regional land carbon fluxes for the second phase of the REgional Carbon Cycle Assessment and Processes Project (RECCAP-2) P. Ciais et al. 10.5194/gmd-15-1289-2022
65. Responding time scales of vegetation production to extreme droughts over China Y. Deng et al. 10.1016/j.ecolind.2022.108630
66. The Impact of Climate Forcing Biases and the Nitrogen Cycle on Land Carbon Balance Projections C. Seiler et al. 10.1029/2023MS003749
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68. Increasing global ecosystem respiration between 1982 and 2015 from Earth observation‐based modelling T. Tagesson et al. 10.1111/geb.13775
69. Soil moisture–atmosphere feedback dominates land carbon uptake variability V. Humphrey et al. 10.1038/s41586-021-03325-5
70. Capturing the spatiotemporal variations in the gross primary productivity in coastal wetlands by integrating eddy covariance, Landsat, and MODIS satellite data: A case study in the Yangtze Estuary, China Z. Yang et al. 10.1016/j.ecolind.2023.110154
71. Carbon flux variation and associated biomass energy storage economic value implications in the Dinghushan Biosphere Reserve B. Njoroge et al. 10.1016/j.jclepro.2022.134274
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73. Predicting spatiotemporal variability in radial tree growth at the continental scale with machine learning P. Bodesheim et al. 10.1017/eds.2022.8
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75. Persistent and enhanced carbon sequestration capacity of alpine grasslands on Earth’s Third Pole Y. Wang et al. 10.1126/sciadv.ade6875
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77. Non-linearity between gross primary productivity and far-red solar-induced chlorophyll fluorescence emitted from canopies of major biomes Y. Liu et al. 10.1016/j.rse.2022.112896
78. Carbon dynamics and soil greenhouse fluxes in a Florida's native rangeland before and after fire R. Bracho et al. 10.1016/j.agrformet.2021.108682
79. Evaluation of earth system model and atmospheric inversion using total column CO2 observations from GOSAT and OCO-2 P. Patra et al. 10.1186/s40645-021-00420-z
80. Towards hybrid modeling of the global hydrological cycle B. Kraft et al. 10.5194/hess-26-1579-2022
81. Improving regional climate simulations based on a hybrid data assimilation and machine learning method X. He et al. 10.5194/hess-27-1583-2023
82. Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems L. Liu et al. 10.1038/s41467-023-43860-5
83. Dryland Ecosystems of the Sudano-Sahel: A Vegetation Model Perspective W. Verbruggen 10.1163/2031356X-35010012
84. A simple approach to enhance the TROPOMI solar-induced chlorophyll fluorescence product by combining with canopy reflected radiation at near-infrared band X. Liu et al. 10.1016/j.rse.2022.113341
85. Global trends in land-atmosphere CO<SUB>2</SUB> exchange fluxes: an analysis of a flux measurement dataset and comparison with terrestrial model simulations A. ITO 10.2480/agrmet.D-21-00015
86. Estimating Global GPP From the Plant Functional Type Perspective Using a Machine Learning Approach R. Guo et al. 10.1029/2022JG007100
87. A global terrestrial ecosystem respiration dataset (2001-2010) estimated with MODIS land surface temperature and vegetation indices J. Ai et al. 10.1080/20964471.2020.1768001
88. CO 2 fertilization of terrestrial photosynthesis inferred from site to global scales C. Chen et al. 10.1073/pnas.2115627119
89. Soil respiration–driven CO 2 pulses dominate Australia’s flux variability E. Metz et al. 10.1126/science.add7833
90. Midwest US Croplands Determine Model Divergence in North American Carbon Fluxes W. Sun et al. 10.1029/2020AV000310
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93. MetaFlux: Meta-learning global carbon fluxes from sparse spatiotemporal observations J. Nathaniel et al. 10.1038/s41597-023-02349-y
94. Representativeness assessment of the pan-Arctic eddy covariance site network and optimized future enhancements M. Pallandt et al. 10.5194/bg-19-559-2022
95. Explainable Machine Learning Confirms the Global Terrestrial CO2 Fertilization Effect From Space S. Zhu et al. 10.1109/LGRS.2023.3298373
96. Spatial variations and mechanisms for the stability of terrestrial carbon sink in China K. Wang et al. 10.1007/s11430-021-1003-5
97. Global datasets of hourly carbon and water fluxes simulated using a satellite-based process model with dynamic parameterizations J. Leng et al. 10.5194/essd-16-1283-2024
98. Analysing far-red SIF directional anisotropy of three structurally contrasting forest canopies towards improved GPP estimation W. Liu et al. 10.1016/j.agrformet.2023.109531
99. Representation of Leaf‐to‐Canopy Radiative Transfer Processes Improves Simulation of Far‐Red Solar‐Induced Chlorophyll Fluorescence in the Community Land Model Version 5 R. Li et al. 10.1029/2021MS002747
100. Global Patterns and Climate Controls of Terrestrial Ecosystem Light Use Efficiency S. Tang et al. 10.1029/2020JG005908
101. Machine learning methods for assessing photosynthetic activity: environmental monitoring applications S. Khruschev et al. 10.1007/s12551-022-00982-2
102. Carbon and Water Fluxes of the Boreal Evergreen Needleleaf Forest Biome Constrained by Assimilating Ecosystem Carbonyl Sulfide Flux Observations C. Abadie et al. 10.1029/2023JG007407
103. Joint improvement on absorbed photosynthetically active radiation and intrinsic quantum yield efficiency algorithms in the P model betters the estimate of terrestrial gross primary productivity Z. Zhang et al. 10.1016/j.agrformet.2023.109883
104. Assimilation of passive microwave vegetation optical depth in LDAS-Monde: a case study over the continental USA A. Mucia et al. 10.5194/bg-19-2557-2022
105. Mapping Chinese annual gross primary productivity with eddy covariance measurements and machine learning X. Zhu et al. 10.1016/j.scitotenv.2022.159390
106. The CO2 record at the Amazon Tall Tower Observatory: A new opportunity to study processes on seasonal and inter‐annual scales S. Botía et al. 10.1111/gcb.15905
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109. Evaluating two soil carbon models within the global land surface model JSBACH using surface and spaceborne observations of atmospheric CO&lt;sub&gt;2&lt;/sub&gt; T. Thum et al. 10.5194/bg-17-5721-2020
110. Testing stomatal models at the stand level in deciduous angiosperm and evergreen gymnosperm forests using CliMA Land (v0.1) Y. Wang et al. 10.5194/gmd-14-6741-2021
111. Evaluating Northern Hemisphere Growing Season Net Carbon Flux in Climate Models Using Aircraft Observations M. Loechli et al. 10.1029/2022GB007520
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118. Machine learning algorithms improve MODIS GPP estimates in United States croplands D. Menefee et al. 10.3389/frsen.2023.1240895
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121. The Diurnal Dynamics of Gross Primary Productivity Using Observations From the Advanced Baseline Imager on the Geostationary Operational Environmental Satellite‐R Series at an Oak Savanna Ecosystem A. Khan et al. 10.1029/2021JG006701
122. Water Stress Dominates 21st‐Century Tropical Land Carbon Uptake P. Levine et al. 10.1029/2023GB007702
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126. Modeled Surface‐Atmosphere Fluxes From Paired Sites in the Upper Great Lakes Region Using Neural Networks D. Reed et al. 10.1029/2021JG006363
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129. Empirical upscaling of OzFlux eddy covariance for high-resolution monitoring of terrestrial carbon uptake in Australia C. Burton et al. 10.5194/bg-20-4109-2023
130. Determination of Region of Influence Obtained by Aircraft Vertical Profiles Using the Density of Trajectories from the HYSPLIT Model H. Cassol et al. 10.3390/atmos11101073
131. Comparing the use of all data or specific subsets for training machine learning models in hydrology: A case study of evapotranspiration prediction H. Shi et al. 10.1016/j.jhydrol.2023.130399
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133. FLUXNET-CH&lt;sub&gt;4&lt;/sub&gt;: a global, multi-ecosystem dataset and analysis of methane seasonality from freshwater wetlands K. Delwiche et al. 10.5194/essd-13-3607-2021
134. Gap-filling carbon dioxide, water, energy, and methane fluxes in challenging ecosystems: Comparing between methods, drivers, and gap-lengths S. Zhu et al. 10.1016/j.agrformet.2023.109365
135. Comparative Analysis of Two Machine Learning Algorithms in Predicting Site-Level Net Ecosystem Exchange in Major Biomes J. Liu et al. 10.3390/rs13122242
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137. Interannual variability in the Australian carbon cycle over 2015–2019, based on assimilation of Orbiting Carbon Observatory-2 (OCO-2) satellite data Y. Villalobos et al. 10.5194/acp-22-8897-2022
138. Aircraft Measurements of Tropospheric CO2 in the North China Plain in Autumn and Winter of 2018–2019 H. Zhang et al. 10.3390/atmos14121835
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140. Improving CLM5.0 Biomass and Carbon Exchange Across the Western United States Using a Data Assimilation System B. Raczka et al. 10.1029/2020MS002421
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144. Estimation of Net Ecosystem Productivity on the Tibetan Plateau Grassland from 1982 to 2018 Based on Random Forest Model J. Zheng et al. 10.3390/rs15092375
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149. Functionally Assembled Terrestrial Ecosystem Simulator (FATES) for Hurricane Disturbance and Recovery M. Shi et al. 10.1029/2023MS003679
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151. Impacts of Land Use Change and Atmospheric CO2 on Gross Primary Productivity (GPP), Evaporation, and Climate in Southern Amazon L. Rezende et al. 10.1029/2021JD034608
152. Assimilation of Global Satellite Leaf Area Estimates Reduces Modeled Global Carbon Uptake and Energy Loss by Terrestrial Ecosystems A. Fox et al. 10.1029/2022JG006830
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156. Cross-biome synthesis of source versus sink limits to tree growth A. Cabon et al. 10.1126/science.abm4875
157. Machine learning estimates of eddy covariance carbon flux in a scrub in the Mexican highland A. Guevara-Escobar et al. 10.5194/bg-18-367-2021
158. Contrasting Regional Carbon Cycle Responses to Seasonal Climate Anomalies Across the East‐West Divide of Temperate North America B. Byrne et al. 10.1029/2020GB006598
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162. Soil Respiration Phenology Improves Modeled Phase of Terrestrial net Ecosystem Exchange in Northern Hemisphere K. Endsley et al. 10.1029/2021MS002804
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183. Kernel methods and their derivatives: Concept and perspectives for the earth system sciences J. Johnson et al. 10.1371/journal.pone.0235885
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187. Improving E3SM Land Model Photosynthesis Parameterization via Satellite SIF, Machine Learning, and Surrogate Modeling A. Chen et al. 10.1029/2022MS003135
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189. Resolving heterogeneous fluxes from tundra halves the growing season carbon budget S. Ludwig et al. 10.5194/bg-21-1301-2024
190. Autumn cooling paused increased CO2 release in central Eurasia M. Kondo et al. 10.1038/s41558-023-01625-4
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192. Quantifying the impacts of land cover change on gross primary productivity globally A. Krause et al. 10.1038/s41598-022-23120-0
193. Spatial Patterns of Vegetation Activity Related to ENSO in Northern South America L. Estupinan‐Suarez et al. 10.1029/2022JG007344
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196. Satellite-based solar-induced fluorescence tracks seasonal and elevational patterns of photosynthesis in California’s Sierra Nevada mountains L. Kunik et al. 10.1088/1748-9326/ad07b4
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202. Drought Risk of Global Terrestrial Gross Primary Productivity Over the Last 40 Years Detected by a Remote Sensing‐Driven Process Model Q. He et al. 10.1029/2020JG005944
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212. Solar-Induced Chlorophyll Fluorescence (SIF): Towards a Better Understanding of Vegetation Dynamics and Carbon Uptake in Arctic-Boreal Ecosystems R. Cheng 10.1007/s40641-024-00194-8
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216. Ideas and perspectives: Enhancing research and monitoring of carbon pools and land-to-atmosphere greenhouse gases exchange in developing countries D. Kim et al. 10.5194/bg-19-1435-2022
217. A standardized catalogue of spectral indices to advance the use of remote sensing in Earth system research D. Montero et al. 10.1038/s41597-023-02096-0
218. Projected Rainfall‐Driven Expansion of Woody Cover in African Drylands W. Zhang et al. 10.1029/2023GL103932
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229. Improving Global Gross Primary Productivity Estimation by Fusing Multi-Source Data Products Y. Zhang & A. Ye 10.2139/ssrn.3978981
230. The response of the Amazon ecosystem to the photosynthetically active radiation fields: integrating impacts of biomass burning aerosol and clouds in the NASA GEOS Earth system model H. Bian et al. 10.5194/acp-21-14177-2021
231. Variation of gross primary productivity dominated by leaf area index in significantly greening area X. Chen et al. 10.1007/s11442-023-2151-5
232. Modeling gross primary production and transpiration from sun-induced chlorophyll fluorescence using a mechanistic light-response approach Q. Beauclaire et al. 10.1016/j.rse.2024.114150
233. Lagged effects regulate the inter-annual variability of the tropical carbon balance A. Bloom et al. 10.5194/bg-17-6393-2020
234. Evolution of light use efficiency models: Improvement, uncertainties, and implications Y. Pei et al. 10.1016/j.agrformet.2022.108905
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237. Continuity of Global MODIS Terrestrial Primary Productivity Estimates in the VIIRS Era Using Model‐Data Fusion K. Endsley et al. 10.1029/2023JG007457
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239. Addressing biases in Arctic–boreal carbon cycling in the Community Land Model Version 5 L. Birch et al. 10.5194/gmd-14-3361-2021
240. Evidence and attribution of the enhanced land carbon sink S. Ruehr et al. 10.1038/s43017-023-00456-3
241. Improved representation of plant physiology in the JULES-vn5.6 land surface model: photosynthesis, stomatal conductance and thermal acclimation R. Oliver et al. 10.5194/gmd-15-5567-2022
242. Vegetation canopy structure mediates the response of gross primary production to environmental drivers across multiple temporal scales Y. Zheng et al. 10.1016/j.scitotenv.2024.170439
243. Temperature, Moisture, Hyperspectral Vegetation Indexes, and Leaf Traits Regulated Soil Respiration in Different Crop Planting Fields X. Yao et al. 10.1007/s42729-021-00600-2
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246. Climate‐Driven Variability and Trends in Plant Productivity Over Recent Decades Based on Three Global Products M. O'Sullivan et al. 10.1029/2020GB006613
247. Accurate Simulation of Both Sensitivity and Variability for Amazonian Photosynthesis: Is It Too Much to Ask? S. Gallup et al. 10.1029/2021MS002555
248. Cropland Net Ecosystem Exchange Estimation for the Inland Pampas (Argentina) Using EVI, Land Cover Maps, and Eddy Covariance Fluxes U. Marconato et al. 10.3389/fsoil.2022.903544
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250. Constraining biospheric carbon dioxide fluxes by combined top-down and bottom-up approaches S. Upton et al. 10.5194/acp-24-2555-2024
251. Would the obtainable gross primary productivity (GPP) products stand up? A critical assessment of 45 global GPP products Y. Zhang & A. Ye 10.1016/j.scitotenv.2021.146965
252. Soil respiration strongly offsets carbon uptake in Alaska and Northwest Canada J. Watts et al. 10.1088/1748-9326/ac1222
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255. Effects of Low Temperature on the Relationship between Solar-Induced Chlorophyll Fluorescence and Gross Primary Productivity across Different Plant Function Types J. Chen et al. 10.3390/rs14153716
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258. Tipping point in North American Arctic-Boreal carbon sink persists in new generation Earth system models despite reduced uncertainty R. Braghiere et al. 10.1088/1748-9326/acb226
259. Remote sensing of terrestrial gross primary productivity: a review of advances in theoretical foundation, key parameters and methods W. Zhu et al. 10.1080/15481603.2024.2318846
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261. Greening-induced increase in evapotranspiration over Eurasia offset by CO2-induced vegetational stomatal closure X. Zhang et al. 10.1088/1748-9326/ac3532
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264. Net ecosystem exchange (NEE) estimates 2006–2019 over Europe from a pre-operational ensemble-inversion system S. Munassar et al. 10.5194/acp-22-7875-2022
265. Validation of terrestrial biogeochemistry in CMIP6 Earth system models: a review L. Spafford & A. MacDougall 10.5194/gmd-14-5863-2021
266. Assessing the effectiveness of a central flux tower in representing the spatial variations in gross primary productivity in a semi-arid pine forest H. Wang et al. 10.1016/j.agrformet.2023.109415
267. Divergent historical GPP trends among state-of-the-art multi-model simulations and satellite-based products R. Yang et al. 10.5194/esd-13-833-2022
268. Technical note: A high-resolution inverse modelling technique for estimating surface CO&lt;sub&gt;2&lt;/sub&gt; fluxes based on the NIES-TM–FLEXPART coupled transport model and its adjoint S. Maksyutov et al. 10.5194/acp-21-1245-2021
269. Upscaling Wetland Methane Emissions From the FLUXNET‐CH4 Eddy Covariance Network (UpCH4 v1.0): Model Development, Network Assessment, and Budget Comparison G. McNicol et al. 10.1029/2023AV000956
270. Interannual Variability of Summer Net Ecosystem CO2 Exchange in High Arctic Tundra C. Braybrook et al. 10.1029/2020JG006094
271. Inland Water Greenhouse Gas Budgets for RECCAP2: 2. Regionalization and Homogenization of Estimates R. Lauerwald et al. 10.1029/2022GB007658
272. Overcoming barriers to enable convergence research by integrating ecological and climate sciences: the NCAR–NEON system Version 1 D. Lombardozzi et al. 10.5194/gmd-16-5979-2023
273. Increasing terrestrial ecosystem carbon release in response to autumn cooling and warming R. Tang et al. 10.1038/s41558-022-01304-w
274. Estimating the Net Ecosystem Exchange at Global FLUXNET Sites Using a Random Forest Model N. Huang et al. 10.1109/JSTARS.2021.3114190
275. Plant uptake of CO2outpaces losses from permafrost and plant respiration on the Tibetan Plateau D. Wei et al. 10.1073/pnas.2015283118
276. The biological basis for using optical signals to track evergreen needleleaf photosynthesis Z. Pierrat et al. 10.1093/biosci/biad116
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278. Inferring causal relations from observational long-term carbon and water fluxes records E. Díaz et al. 10.1038/s41598-022-05377-7
279. Reply to: Autumn cooling paused increased net CO2 release in central Eurasia R. Tang & B. He 10.1038/s41558-023-01626-3
280. A novel approach for retrieving GPP of evergreen forest regions of India using random forest regression D. Sarkar et al. 10.1016/j.rsase.2023.101116
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282. Mapping global forest age from forest inventories, biomass and climate data S. Besnard et al. 10.5194/essd-13-4881-2021
283. Research into land atmosphere interactions supports the sustainable development agenda G. Hayman et al. 10.1017/sus.2024.3
284. Serious underestimation of reduced carbon uptake due to vegetation compound droughts J. Song et al. 10.1038/s41612-024-00571-y
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287. Spatial and temporal variations of gross primary production simulated by land surface model BCC_AVIM2.0 W. Li et al. 10.1016/j.accre.2023.02.001
288. Sun-induced fluorescence as a proxy for primary productivity across vegetation types and climates M. Pickering et al. 10.5194/bg-19-4833-2022
289. Evaluating nitrogen cycling in terrestrial biosphere models: a disconnect between the carbon and nitrogen cycles S. Kou-Giesbrecht et al. 10.5194/esd-14-767-2023
290. Revisiting and attributing the global controls over terrestrial ecosystem functions of climate and plant traits at FLUXNET sites via causal graphical models H. Shi et al. 10.5194/bg-20-2727-2023
291. A decrease in the age of respired carbon from the terrestrial biosphere and increase in the asymmetry of its distribution C. Sierra et al. 10.1098/rsta.2022.0200
292. A 1 km Global Carbon Flux Dataset Using In Situ Measurements and Deep Learning W. Shangguan et al. 10.3390/f14050913
293. Interannual variations and trends of gross primary production and transpiration of four mature deciduous broadleaf forest sites during 2000–2020 L. Pan et al. 10.1016/j.rse.2024.114042
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295. Interannual variation of terrestrial carbon cycle: Issues and perspectives S. Piao et al. 10.1111/gcb.14884
296. Vegetation Index‐Based Models Without Meteorological Constraints Underestimate the Impact of Drought on Gross Primary Productivity X. Chen et al. 10.1029/2023JG007499
297. Direct measurement forest carbon protocol: a commercial system-of-systems to incentivize forest restoration and management B. Marino et al. 10.7717/peerj.8891
298. Estimating carbon emissions from thermal power plants based on thermal characteristics K. Li et al. 10.1016/j.jag.2024.103768