511 citations as recorded by crossref.

1. Improving predictions of evapotranspiration by integrating multi-source observations and land surface model X. He et al.
2. An emergent constraint on the thermal sensitivity of photosynthesis and greenness in the high latitude northern forests J. Liu & P. Wennberg
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5. Solar-induced chlorophyll fluorescence sheds light on global evapotranspiration Q. Zhang et al.
6. GPP-net: a robust high-resolution GPP estimation network for Sentinel-2 using only surface reflectance and photosynthetically active radiation S. Wang et al.
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13. Improving the Gross Primary Production Estimate by Merging and Downscaling Based on Deep Learning J. Lu et al.
14. Scale-dependent variations in photosynthetic processes mediate net primary productivity in temperate forests X. Wang et al.
15. Improved Global Gross Primary Productivity Estimation by Considering Canopy Nitrogen Concentrations and Multiple Environmental Factors H. Zhang et al.
16. Overestimated natural biological nitrogen fixation translates to an exaggerated CO 2 fertilization effect in Earth system models S. Kou-Giesbrecht et al.
17. Regional asymmetry in the response of global vegetation growth to springtime compound climate events J. Li et al.
18. Rapid changes in terrestrial carbon dioxide uptake captured in near-real time from a geostationary satellite: The ALIVE framework D. Losos et al.
19. Parameter uncertainty dominates C-cycle forecast errors over most of Brazil for the 21st century T. Smallman et al.
20. Ai-driven carbon Monitoring: Transformer-Based reconstruction of atmospheric CO2 in Canadian poultry regions P. Prajesh et al.
21. NIRVP: A robust structural proxy for sun-induced chlorophyll fluorescence and photosynthesis across scales B. Dechant et al.
22. Exploring neuro-symbolic AI applications in geoscience: implications and future directions for mineral prediction W. Chen et al.
23. Systematic underestimation of type-specific ecosystem process variability in the Community Land Model v5 over Europe C. Poppe Terán et al.
24. Global Upscaling of Gross Primary Productivity Using a Simple and Robust Modeling Scheme C. Cao et al.
25. 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.
26. Distinct response of gross primary productivity in five terrestrial biomes to precipitation variability F. Ritter et al.
27. Impacts of benchmarking choices on inferred model skill of the Arctic–Boreal terrestrial carbon cycle J. Poe et al.
28. Uncertainty Analysis of Gross Primary Production (GPP) Remote-Sensing Products and Its Influencing Factors in Southwest China Z. Ge et al.
29. Carbon cycle: ESP and UAV data processing approaches for forest ecosystem monitoring examples M. Platonova et al.
30. Evaluating photosynthetic activity across Arctic-Boreal land cover types using solar-induced fluorescence R. Cheng et al.
31. Network of networks: Time series clustering of AmeriFlux sites D. Reed et al.
32. 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.
33. The dynamic response of vegetation water use efficiency to wildfire disturbances in the Northern Hemisphere H. Xi et al.
34. Leaf-scale quantification of the effect of photosynthetic gas exchange on Δ17O of atmospheric CO2 G. Adnew et al.
35. Global nature run data with realistic high-resolution carbon weather for the year of the Paris Agreement A. Agustí-Panareda et al.
36. WOMBAT v2.S: A Bayesian Inversion Framework for Attributing Global CO2 Flux Components From Multiprocess Data J. Jacobson et al.
37. Evaluating the Performance of the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC) Tailored to the Pan‐Canadian Domain S. Curasi et al.
38. 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.
39. Environment-sensitivity functions for gross primary productivity in light use efficiency models S. Bao et al.
40. Groundwater–CO2 emissions relationship in Dutch peatlands derived by machine learning using airborne and ground-based eddy covariance data L. van der Poel et al.
41. Improved water use efficiency of vegetation due to carbon fertilization not translating to increased soil moisture in India A. Verma & S. Ghosh
42. New Drought Projections Over East Asia Using Evapotranspiration Deficits From the CMIP6 Warming Scenarios D. Kim et al.
43. Learning extreme vegetation response to climate drivers with recurrent neural networks F. Martinuzzi et al.
44. Decoupling of the relationship between canopy and stem growth in broadleaf trees under humid conditions S. Wang et al.
45. Incorporation of needleleaf traits improves estimation of light absorption and gross primary production of evergreen needleleaf forests B. Pan et al.
46. Terrestrial carbon sinks in China and around the world and their contribution to carbon neutrality Y. Yang et al.
47. Leveraging observed soil heterotrophic respiration fluxes as a novel constraint on global‐scale models J. Jian et al.
48. Global Inversion of Terrestrial Net Ecosystem Exchange: Integrating Explicit Multi-Source Predictors and High-Dimensional Remote-Sensing Embeddings P. Du et al.
49. Carbon sequestration and CO2 flux in six plant species in vertical greenery systems L. Pan et al.
50. FLAML version 2.3.3 model-based assessment of gross primary productivity at forest, grassland, and cropland ecosystem sites J. Lai et al.
51. Digital Twin-Ready Earth Observation: Operationalizing GeoML for Agricultural CO2 Flux Monitoring at Field Scale A. Khan et al.
52. Increasing global ecosystem respiration between 1982 and 2015 from Earth observation‐based modelling T. Tagesson et al.
53. How long does carbon stay in a near-pristine central Amazon forest? An empirical estimate with radiocarbon I. Chanca et al.
54. Mass Conservation-Constrained Estimates of Terrestrial Gross Primary Production, Net Ecosystem Exchange, and Ecosystem Respiration Y. Sun et al.
55. A long-term reconstruction of a global photosynthesis proxy over 1982–2023 J. Fang et al.
56. 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.
57. Development of a semi-empirical net ecosystem exchange model for Biebrza wetlands to study their sensitivity to climatic extremes and multi-year variability K. Fortuniak et al.
58. Vegetation structure and phenology primarily shape the spatiotemporal pattern of ecosystem respiration C. Zhao & W. Zhu
59. Development and evaluation of the interactive Model for Air Pollution and Land Ecosystems (iMAPLE) version 1.0 X. Yue et al.
60. Causal hybrid modeling with double machine learning—applications in carbon flux modeling K. Cohrs et al.
61. Carbon dynamics and soil greenhouse fluxes in a Florida's native rangeland before and after fire R. Bracho et al.
62. Evaluation of earth system model and atmospheric inversion using total column CO2 observations from GOSAT and OCO-2 P. Patra et al.
63. Improving regional climate simulations based on a hybrid data assimilation and machine learning method X. He et al.
64. Physics-constrained machine learning for satellite-derived evapotranspiration in China C. Zhang et al.
65. Insights into terrestrial carbon and water cycling from the global eddy covariance network J. Xiao et al.
66. Dryland Ecosystems of the Sudano-Sahel: A Vegetation Model Perspective W. Verbruggen
67. 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.
68. 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
69. Estimating Global GPP From the Plant Functional Type Perspective Using a Machine Learning Approach R. Guo et al.
70. A global terrestrial ecosystem respiration dataset (2001-2010) estimated with MODIS land surface temperature and vegetation indices J. Ai et al.
71. Soil respiration–driven CO 2 pulses dominate Australia’s flux variability E. Metz et al.
72. Midwest US Croplands Determine Model Divergence in North American Carbon Fluxes W. Sun et al.
73. Spatial variations in terrestrial net ecosystem productivity and its local indicators E. Cui et al.
74. Terrestrial photosynthesis inferred from plant carbonyl sulfide uptake J. Lai et al.
75. MetaFlux: Meta-learning global carbon fluxes from sparse spatiotemporal observations J. Nathaniel et al.
76. Upscaling CO2 fluxes from agricultural drained lowland peatlands in England using remote sensing and machine learning A. Khan et al.
77. Causal inference reveals the dominant role of interannual variability of carbon sinks in complicated environmental-terrestrial ecosystems C. Dang et al.
78. A Machine Learning Framework for Daily Mangrove Net Ecosystem Exchange Prediction from 2000 to 2025 L. Ruan et al.
79. On the added value of sequential deep learning for the upscaling of evapotranspiration B. Kraft et al.
80. Global datasets of hourly carbon and water fluxes simulated using a satellite-based process model with dynamic parameterizations J. Leng et al.
81. High-spatial-resolution gross primary production estimation from Sentinel-2 reflectance using hybrid Gaussian processes modeling E. De Clerck et al.
82. Climate change intensifies carbon emissions from the Earth's Third Pole: Projected trajectories of soil and ecosystem respiration T. Shen et al.
83. 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.
84. Machine learning methods for assessing photosynthetic activity: environmental monitoring applications S. Khruschev et al.
85. Mapping Chinese annual gross primary productivity with eddy covariance measurements and machine learning X. Zhu et al.
86. 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.
87. 中国陆地生态系统碳汇稳定性的空间分布特征及驱动机制 锴. 王 et al.
88. Vegetation Photosynthesis Model v3.0: Improved Estimates of Terrestrial Gross Primary Production from Individual Eddy Flux Tower Sites to the Globe L. Pan et al.
89. Effects of aerosol and cloud on global gross primary productivity M. Zhang et al.
90. Evaluating two soil carbon models within the global land surface model JSBACH using surface and spaceborne observations of atmospheric CO2 T. Thum et al.
91. Testing stomatal models at the stand level in deciduous angiosperm and evergreen gymnosperm forests using CliMA Land (v0.1) Y. Wang et al.
92. How does gross primary production uncertainty impact evapotranspiration prediction within the carbon–water coupled model? L. Huang et al.
93. Near-real-time CO2 fluxes from CarbonTracker Europe for high-resolution atmospheric modeling A. van der Woude et al.
94. Towards reliable forgery detection techniques for remote sensing images: Parametric evaluation and open challenges D. Patole et al.
95. Emergent Climatic Controls on Soil Carbon Turnover and Its Variability in Warm Climates H. Huang et al.
96. A 2001–2022 global gross primary productivity dataset using an ensemble model based on the random forest method X. Chen et al.
97. Elevation-dependent pattern of net CO2 uptake across China D. Wei et al.
98. Limitations in the use of atmospheric CO2 observations to directly infer changes in the length of the biospheric carbon uptake period T. Kariyathan et al.
99. Machine learning algorithms improve MODIS GPP estimates in United States croplands D. Menefee et al.
100. Global Carbon Fluxes Using Multioutput Gaussian Processes Regression and MODIS Products M. Campos-Taberner et al.
101. Improved GPP upscaling from instantaneous measurements to daily sums using the light-use-efficiency-based model R. Chen et al.
102. 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.
103. Importance of the antecedent environmental factors’ memory effects on the temporal variation of terrestrial gross primary productivity W. Liu et al.
104. Apparent ecosystem carbon turnover time: uncertainties and robust features N. Fan et al.
105. Modeled Surface‐Atmosphere Fluxes From Paired Sites in the Upper Great Lakes Region Using Neural Networks D. Reed et al.
106. Bridging Satellite Productivity and Global Biodiversity: Unveiling Insights through Dynamic Habitat Indices K. Liu et al.
107. Potential for equation discovery with AI in the climate sciences C. Huntingford et al.
108. CO2 fertilization is spatially distinct from stomatal conductance reduction in controlling ecosystem water-use efficiency increase X. Zhang et al.
109. Advancements and opportunities to improve bottom–up estimates of global wetland methane emissions Q. Zhu et al.
110. The weak land carbon sink hypothesis J. Randerson et al.
111. Artificial intelligence for geoscience: Progress, challenges, and perspectives T. Zhao et al.
112. Remote Sensing‐Based Assessment of Carbon and Water Ecosystem Services in Response to Climate and Vegetation Cover Changes Across Global Major River Basins Y. Wang & J. Jin
113. WetCH4: a machine-learning-based upscaling of methane fluxes of northern wetlands during 2016–2022 Q. Ying et al.
114. Preface: Advancing deep learning for remote sensing time series data analysis H. Zhang et al.
115. Evidence and patterns of decreased sensitivity of vegetation leaf photosynthetic efficiency to precipitation Z. Wang et al.
116. Variability and uncertainty in net ecosystem carbon exchange modeling: Systematic estimates at global flux sites via ensemble machine learning N. Wang et al.
117. Aircraft Measurements of Tropospheric CO2 in the North China Plain in Autumn and Winter of 2018–2019 H. Zhang et al.
118. Benchmarking large-scale evapotranspiration estimates: A perspective from a calibration-free complementary relationship approach and FLUXCOM N. Ma et al.
119. Observed increasing light-use efficiency of terrestrial gross primary productivity Z. Liu et al.
120. Siberian 2020 heatwave increased spring CO2 uptake but not annual CO2 uptake M. Kwon et al.
121. MODIS-based modeling of evapotranspiration from woody vegetation supported by root-zone water storage G. Cui et al.
122. Emergent constraints on historical and future global gross primary productivity X. Chen et al.
123. Partitioning net carbon dioxide fluxes into photosynthesis and respiration using neural networks G. Tramontana et al.
124. The spatial heterogeneity of the relationship between gross primary production and sun-induced chlorophyll fluorescence regulated by climate conditions during 2007–2018 Y. Wang et al.
125. Global Assimilation of Remotely Sensed Leaf Area Index: The Impact of Updating More State Variables Within a Land Surface Model A. Rahman et al.
126. Functionally Assembled Terrestrial Ecosystem Simulator (FATES) for Hurricane Disturbance and Recovery M. Shi et al.
127. Assimilation of Global Satellite Leaf Area Estimates Reduces Modeled Global Carbon Uptake and Energy Loss by Terrestrial Ecosystems A. Fox et al.
128. The ASK-16 motorized glider: an airborne eddy covariance platform to measure turbulence, energy, and matter fluxes I. Wiekenkamp et al.
129. Estimating carbon fluxes over North America using a physics-constrained deep learning model B. Fan et al.
130. Technical note: A view from space on global flux towers by MODIS and Landsat: the FluxnetEO data set S. Walther et al.
131. A Spatially Downscaled TROPOMI SIF Product at 0.005° Resolution With Bias Correction J. Hu et al.
132. A consistent budgeting of terrestrial carbon fluxes L. Dorgeist et al.
133. Cross-biome synthesis of source versus sink limits to tree growth A. Cabon et al.
134. Correlation of atmospheric CO2 level changes with geophysical and atmospheric indices N. Le et al.
135. Contrasting Regional Carbon Cycle Responses to Seasonal Climate Anomalies Across the East‐West Divide of Temperate North America B. Byrne et al.
136. Is runoff the key input of evapotranspiration?: AI-based hydro-climatic assessment in Southeastern Türkiye’s Dams Region M. Akiner & M. Çelik
137. Climate drivers of the variations of vegetation productivity in India A. Verma et al.
138. Moisture Regulates Contributions of Drought Response Strategy to Interannual Variability in Gross Primary Productivity X. Jiang et al.
139. Assessing Model Predictions of Carbon Dynamics in Global Drylands D. Fawcett et al.
140. How the CMIP6 climate models project the historical terrestrial GPP in China C. Zhang et al.
141. Geostationary Satellite-Derived Diurnal Cycles of Photosynthesis and Their Drivers in a Subtropical Forest J. Xu et al.
142. A global 0.05° gross primary production dataset from 2001 to 2024 generated using a hybrid LSTM framework S. Chen et al.
143. Ideas and perspectives: Beyond model evaluation – combining experiments and models to advance terrestrial ecosystem science S. Caldararu et al.
144. Widespread temporal and spatial variability in net ecosystem productivity under climate change H. Huang et al.
145. Do State‐Of‐The‐Art Atmospheric CO2 Inverse Models Capture Drought Impacts on the European Land Carbon Uptake? W. He et al.
146. Demands and possibilities for field-scale estimation of agricultural greenhouse gas balances T. Palosuo et al.
147. CO2 exchange of the ecosystem–atmosphere in a mountain forest ecosystem: Combining stable carbon isotope (δ13C) and soil respiration measurements H. Li et al.
148. Emerging signals of declining forest resilience under climate change G. Forzieri et al.
149. Agricultural Carbon Flux Estimation Using Multi-Source Remote Sensing and Ensemble Models J. Qiu et al.
150. Paddy rice methane emissions across Monsoon Asia Z. Ouyang et al.
151. The Impact of Crop Rotation and Spatially Varying Crop Parameters in the E3SM Land Model (ELMv2) E. Sinha et al.
152. Non-growing season carbon emissions in a northern peatland are projected to increase under global warming A. Rafat et al.
153. Kernel methods and their derivatives: Concept and perspectives for the earth system sciences J. Johnson et al.
154. Observed impacts of large wind farms on grassland carbon cycling D. Wu et al.
155. Improving E3SM Land Model Photosynthesis Parameterization via Satellite SIF, Machine Learning, and Surrogate Modeling A. Chen et al.
156. Reviews and syntheses: Remotely sensed optical time series for monitoring vegetation productivity L. Kooistra et al.
157. Bridging the gap in carbon cycle studies: Meteorological station-based carbon flux dataset as a complement to EC towers W. Zhang et al.
158. Quantifying the impacts of land cover change on gross primary productivity globally A. Krause et al.
159. Spatiotemporal Variability of Gross Primary Productivity in Türkiye: A Multi-Source and Multi-Method Assessment E. Başakın et al.
160. How Well Do We Understand the Land‐Ocean‐Atmosphere Carbon Cycle? D. Crisp et al.
161. Increased photosynthesis during spring drought in energy-limited ecosystems D. Miller et al.
162. Global synchronous increase in light-saturated and peak vegetation productivity K. Huang & J. Xia
163. Global apparent temperature sensitivity of terrestrial carbon turnover modulated by hydrometeorological factors N. Fan et al.
164. Random Forest Development and Modeling of Gross Primary Productivity in the Hudson Bay Lowlands J. Beaver et al.
165. Predicting Weather Station-Scale GPP and ET with Deep Learning for Climate-Resilient Corn Production in the U.S. S. Wang et al.
166. A New Crop Gross Primary Production Estimation Method Based on Solar-Induced Chlorophyll Fluorescence Y. Niu et al.
167. Ecological restoration and rising CO2enhance the carbon sink, counteracting climate change in northeastern China B. Huang et al.
168. Analysis of Influencing Factors of Terrestrial Carbon Sinks in China Based on LightGBM Model and Bayesian Optimization Algorithm Y. Zou & X. Wang
169. Do forests store more water? A comparative analysis of water storage between multiple land cover types Q. Wu et al.
170. Interannual and Seasonal Drivers of Carbon Cycle Variability Represented by the Community Earth System Model (CESM2) W. Wieder et al.
171. Multi-year observations reveal a larger than expected autumn respiration signal across northeast Eurasia B. Byrne et al.
172. Solar-Induced Chlorophyll Fluorescence (SIF): Towards a Better Understanding of Vegetation Dynamics and Carbon Uptake in Arctic-Boreal Ecosystems R. Cheng
173. The potential of urban irrigation for counteracting carbon-climate feedback P. Li et al.
174. The fate and transit time of carbon in a tropical forest C. Sierra et al.
175. The impacts of modelling prescribed vs. dynamic land cover in a high-CO2 future scenario – greening of the Arctic and Amazonian dieback S. Kou-Giesbrecht et al.
176. A standardized catalogue of spectral indices to advance the use of remote sensing in Earth system research D. Montero et al.
177. Increase in gross primary production of boreal forests balanced out by increase in ecosystem respiration J. Pulliainen et al.
178. Projected Rainfall‐Driven Expansion of Woody Cover in African Drylands W. Zhang et al.
179. Spatiotemporal patterns of gross primary productivity and the response to climate variability in the subtropical ecosystem of Eastern China R. Wu et al.
180. Spatiotemporal dynamics of carbon, water, and energy balance in Bangladesh using multi-source remote sensing and climate data N. Hussain et al.
181. Cascading environmental, phenological, and physiological influences on spatial variability of annual gross primary productivity in the Northern Hemisphere L. Han et al.
182. A Radiation-Regulated Dynamic Maximum Light Use Efficiency for Improving Gross Primary Productivity Estimation Z. Xie et al.
183. Multiscale analysis of existing actual evapotranspiration products over agropastoral Sahel J. Etchanchu et al.
184. An impact-based drought classification method using real-world agricultural drought records and explainable automated machine learning K. Zhou et al.
185. Spatio-temporal variability of gross primary productivity in moist and dry deciduous plant functional types of Northwest Himalayan foothills of India using temperature-greenness model R. Srinet et al.
186. Tracking Global Patterns of Drought‐Induced Productivity Loss Along Severity Gradient Y. Wang et al.
187. Impact of leaf area index assimilation and gauge-corrected precipitation on land surface variables in LDAS-Monde: a case study over China E. Liu et al.
188. Ideas and perspectives: Allocation of carbon from net primary production in models is inconsistent with observations of the age of respired carbon C. Sierra et al.
189. Wildfires offset the increasing but spatially heterogeneous Arctic–boreal CO2 uptake A. Virkkala et al.
190. Prediction of Gross Primary Productivity Change in Central Asia Under Climate Change Using Deep Learning W. Shao et al.
191. Addressing biases in Arctic–boreal carbon cycling in the Community Land Model Version 5 L. Birch et al.
192. Evidence and attribution of the enhanced land carbon sink S. Ruehr et al.
193. Improved representation of plant physiology in the JULES-vn5.6 land surface model: photosynthesis, stomatal conductance and thermal acclimation R. Oliver et al.
194. Impacts of Climate Change, Human Activities, and Their Interactions on China’s Gross Primary Productivity Y. Diao et al.
195. Impacts of climate extremes on variations in evergreen forest ecosystem carbon–water fluxes across Southern China W. Xing et al.
196. Temperature, Moisture, Hyperspectral Vegetation Indexes, and Leaf Traits Regulated Soil Respiration in Different Crop Planting Fields X. Yao et al.
197. Regional and seasonal partitioning of water and temperature controls on global land carbon uptake variability K. Wang et al.
198. Climate‐Driven Variability and Trends in Plant Productivity Over Recent Decades Based on Three Global Products M. O'Sullivan et al.
199. Spatializing Net Ecosystem Exchange in the Brazilian Amazon biome using the JULES model and vegetation properties A. Prudente Jr. et al.
200. Extrapolability improvement of machine learning-based evapotranspiration models via domain-adversarial neural networks H. Shi & X. Cai
201. Accurate Simulation of Both Sensitivity and Variability for Amazonian Photosynthesis: Is It Too Much to Ask? S. Gallup et al.
202. Effects of Land Cover Change on Vegetation Carbon Source/Sink in Arid Terrestrial Ecosystems of Northwest China, 2001–2018 H. Tu et al.
203. Constraining biospheric carbon dioxide fluxes by combined top-down and bottom-up approaches S. Upton et al.
204. Investigating the temporal lag and accumulation effect of climatic factors on vegetation photosynthetic activity over subtropical China J. Liang et al.
205. Assessment of district scale ecosystem health in India using multi decadal carbon and water use efficiencies A. Chakraborty et al.
206. Towards an ensemble-based evaluation of land surface models in light of uncertain forcings and observations V. Arora et al.
207. UFLUX-GPP: A Cost-Effective Framework for Quantifying Daily Terrestrial Ecosystem Carbon Uptake Using Satellite Data S. Zhu et al.
208. Hydroclimate shapes photosynthetic sensitivity to cloud cover across global terrestrial ecosystems H. Luo et al.
209. Mapping turnover of dissolved organic carbon in global topsoil Z. Guo et al.
210. Vegetation dynamics offset nearly 30% of precipitation’s impact on runoff and are amplified by aridity Y. Liu et al.
211. Remote sensing of terrestrial gross primary productivity: a review of advances in theoretical foundation, key parameters and methods W. Zhu et al.
212. Knowledge‐Guided Machine Learning for Global Change Ecology Research Z. Jin et al.
213. Net ecosystem exchange (NEE) estimates 2006–2019 over Europe from a pre-operational ensemble-inversion system S. Munassar et al.
214. Using automated machine learning for the upscaling of gross primary productivity M. Gaber et al.
215. 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.
216. Contrasting responses of vegetation productivity to intraseasonal rainfall in Earth system models B. Harris et al.
217. Divergent historical GPP trends among state-of-the-art multi-model simulations and satellite-based products R. Yang et al.
218. Interannual Variability of Summer Net Ecosystem CO2 Exchange in High Arctic Tundra C. Braybrook et al.
219. Inland Water Greenhouse Gas Budgets for RECCAP2: 2. Regionalization and Homogenization of Estimates R. Lauerwald et al.
220. Overcoming barriers to enable convergence research by integrating ecological and climate sciences: the NCAR–NEON system Version 1 D. Lombardozzi et al.
221. A Data-Driven Method for Direct Estimation of Global 8-Day 500-m Ecosystem Water Use Efficiency L. Huang et al.
222. Unraveling the impacts of temperature and vapor pressure deficit on gross primary productivity from current to future scenarios S. Chen et al.
223. Estimating the Net Ecosystem Exchange at Global FLUXNET Sites Using a Random Forest Model N. Huang et al.
224. The biological basis for using optical signals to track evergreen needleleaf photosynthesis Z. Pierrat et al.
225. QeRSIF: a quality-enhanced red solar-induced chlorophyll fluorescence dataset for TROPOMI satellite Y. Du et al.
226. Estimating CO2 fluxes through integrating spatial and temporal input layers via deep learning algorithms H. Zou et al.
227. Inferring causal relations from observational long-term carbon and water fluxes records E. Díaz et al.
228. Reply to: Autumn cooling paused increased net CO2 release in central Eurasia R. Tang & B. He
229. Remote Sensing-Based Advances in Climate Change Impacts on Agricultural Ecosystem Respiration X. Mei et al.
230. The climate benefit of carbon sequestration C. Sierra et al.
231. Mapping global forest age from forest inventories, biomass and climate data S. Besnard et al.
232. Serious underestimation of reduced carbon uptake due to vegetation compound droughts J. Song et al.
233. Prithvi-EO-2.0: A Versatile Multitemporal Foundation Model for Earth Observation Applications D. Szwarcman et al.
234. Harmonizing and Comparing Divergent Estimates of China’s Forest Carbon Sinks Q. Han et al.
235. Estimation of local training data point densities to support the assessment of spatial prediction uncertainty F. Schumacher et al.
236. Constraining a data-driven CO2 flux model by ecosystem and atmospheric observations using atmospheric transport S. Upton et al.
237. Climate and terrestrial carbon cycle responses to the two types of El Niño events Y. Liu & H. Ding
238. Towards neural Earth system modelling by integrating artificial intelligence in Earth system science C. Irrgang et al.
239. Spatial and temporal variations of gross primary production simulated by land surface model BCC_AVIM2.0 W. Li et al.
240. Evaluating nitrogen cycling in terrestrial biosphere models: a disconnect between the carbon and nitrogen cycles S. Kou-Giesbrecht et al.
241. A decrease in the age of respired carbon from the terrestrial biosphere and increase in the asymmetry of its distribution C. Sierra et al.
242. A 1 km Global Carbon Flux Dataset Using In Situ Measurements and Deep Learning W. Shangguan et al.
243. Interannual variations and trends of gross primary production and transpiration of four mature deciduous broadleaf forest sites during 2000–2020 L. Pan et al.
244. Responses of vegetation greenness and carbon cycle to extreme droughts in China Y. Deng et al.
245. Scale knowledge guided deep learning for simulating ecosystem carbon fluxes Y. Zhou et al.
246. Global evaluation of the Ecosystem Demography model (ED v3.0) L. Ma et al.
247. Towards an increasingly biased view on Arctic change E. López-Blanco et al.
248. Simulation of carbon fluxes from Tibetan Plateau grasslands by integrating data assimilation and parameter inversion within the Biome-BGC model J. Zhang et al.
249. Machine learning models inaccurately predict current and future high-latitude C balances I. Shirley et al.
250. ECLand: The ECMWF Land Surface Modelling System S. Boussetta et al.
251. Temporal Error Correlations in a Terrestrial Carbon Cycle Model Derived by Comparison to Carbon Dioxide Eddy Covariance Flux Tower Measurements D. Wesloh et al.
252. A global surface CO2 flux dataset (2015–2022) inferred from OCO-2 retrievals using the GONGGA inversion system Z. Jin et al.
253. Are Terrestrial Biosphere Models Fit for Simulating the Global Land Carbon Sink? C. Seiler et al.
254. Uncertainty and sensitivity analysis of modeling plant CO2 exchange in the built environment P. Li & Z. Wang
255. Triple collocation-based merging of multi-source gridded evapotranspiration data in the Nordic Region X. Li et al.
256. Incorporating heat and water stress into BIOME-BGC to simulate the impact of extreme climate events on subtropical coniferous forest NEP X. Teng et al.
257. 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.
258. Uniform upscaling techniques for eddy covariance FLUXes (UFLUX) S. Zhu et al.
259. From Ecosystem Observation to Environmental Decision-Making: Model-Data Fusion as an Operational Tool T. Smallman et al.
260. Global prediction of gross primary productivity under future climate change Q. Lu et al.
261. Modelling and attributing growing season GPP change by improving Budyko's limitation framework in the inland river basin of Northwestern China X. Chang et al.
262. Evaluation of Ecosystem Water Use Efficiency Based on Coupled and Uncoupled Remote Sensing Products for Maize and Soybean L. Huang et al.
263. Accurate Estimation of Gross Primary Production of Paddy Rice Cropland with UAV Imagery-Driven Leaf Biochemical Model X. Hu et al.
264. An abrupt shift in gross primary productivity over Eastern China-Mongolia and its inter-model diversity in land surface models D. Lee et al.
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282. Spatiotemporal Variation of Gross Primary Productivity in Hainan Island Based on Multi-Source Remote Sensing Data 瑞. 李
283. Influence of simulated vs. satellite-based burned areas on modelled terrestrial carbon fluxes T. Ermitão et al.
284. Assessing the Reliability of Global Carbon Flux Dataset Compared to Existing Datasets and Their Spatiotemporal Characteristics Z. Xiong et al.
285. VODCA2GPP – a new, global, long-term (1988–2020) gross primary production dataset from microwave remote sensing B. Wild et al.
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300. Drought‐Induced Weakening of Temperature Control on Ecosystem Carbon Uptake Across Northern Lands H. Wu et al.
301. Importance of the memory effect for assessing interannual variation in net ecosystem exchange W. Liu et al.
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308. 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.
309. 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.
310. Mutual inhibition effects of elevated CO2 and climate change on global forest GPP Y. Ji et al.
311. Responding time scales of vegetation production to extreme droughts over China Y. Deng et al.
312. The Impact of Climate Forcing Biases and the Nitrogen Cycle on Land Carbon Balance Projections C. Seiler et al.
313. Hybrid modeling of evapotranspiration: inferring stomatal and aerodynamic resistances using combined physics-based and machine learning R. ElGhawi et al.
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315. Soil moisture–atmosphere feedback dominates land carbon uptake variability V. Humphrey et al.
316. Climate impact on mean annual cycle and interannual variability of CO2 fluxes in European deciduous broadleaf and evergreen needleleaf forests: insights from observations and state-of-the-art data-driven and process-based models A. Ullah et al.
317. Carbon flux variation and associated biomass energy storage economic value implications in the Dinghushan Biosphere Reserve B. Njoroge et al.
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324. Trade‐Offs Between Carbon and Water Fluxes Along a Land Use Intensity Gradient in Southeast Asian Forests and Plantations B. Hanggara et al.
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329. Evapotranspiration Everywhere, All the Time: Towards a Unified View From Earth Observation J. Fisher et al.
330. Cross-scale convergence in the carbon balance of managed boreal forests in Northern Sweden M. Peichl et al.
331. Impact of temperature and water availability on microwave-derived gross primary production I. Teubner et al.
332. A multi-objective optimization framework for regional land-use allocation: Fully utilizing terrestrial vegetation to mitigate carbon emissions N. Wang et al.
333. Representativeness assessment of the pan-Arctic eddy covariance site network and optimized future enhancements M. Pallandt et al.
334. Applying Different Vegetation Indices for Gross Primary Productivity Estimation in Soybean and Maize Based on a Modified Light-Use Efficiency Model Z. Wei et al.
335. Explainable Machine Learning Confirms the Global Terrestrial CO2 Fertilization Effect From Space S. Zhu et al.
336. Spatial variations and mechanisms for the stability of terrestrial carbon sink in China K. Wang et al.
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338. Global Patterns and Climate Controls of Terrestrial Ecosystem Light Use Efficiency S. Tang et al.
339. Carbon and Water Fluxes of the Boreal Evergreen Needleleaf Forest Biome Constrained by Assimilating Ecosystem Carbonyl Sulfide Flux Observations C. Abadie et al.
340. 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.
341. Satellite-derived Ecosystem Functional Types capture ecosystem functional heterogeneity at regional scale B. Cazorla et al.
342. Assimilation of passive microwave vegetation optical depth in LDAS-Monde: a case study over the continental USA A. Mucia et al.
343. Carbon sink conservation: Cost-effective spatial priorities and feasible management policies for China J. Liu et al.
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346. Discussion on “Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models” by Bonas et al. P. Otto
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348. Evaluating Northern Hemisphere Growing Season Net Carbon Flux in Climate Models Using Aircraft Observations M. Loechli et al.
349. Fusing Enhanced Flux Measurements and Multi-Source Satellite Observations to Improve GPP Estimation for the Qinghai–Tibet Plateau Based on AutoML Techniques M. Zhao et al.
350. Spatially varying parameters improve carbon cycle modeling in the Amazon rainforest with ORCHIDEE r8849 L. Zhu et al.
351. Gross primary productivity of terrestrial ecosystems: a review of observations, remote sensing, and modelling studies over South Asia V. Pandey et al.
352. Spatiotemporal dynamics and environmental drivers of gross primary productivity in mangrove ecosystems of Hainan Island Y. Zheng et al.
353. Asymmetric responses of ecosystem productivity to rainfall anomalies vary inversely with mean annual rainfall over the conterminous United States A. Al‐Yaari et al.
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357. Direct and seasonal legacy effects of the 2018 heat wave and drought on European ecosystem productivity A. Bastos et al.
358. Wetting-warming climate increases ecosystem carbon use efficiency of Chinese arid and semi-arid ecosystem Y. Sun et al.
359. Plant gross primary production, plant respiration and carbonyl sulfide emissions over the globe inferred by atmospheric inverse modelling M. Remaud et al.
360. Assimilating Sentinel-2 data in a modified vegetation photosynthesis and respiration model (VPRM) to improve the simulation of croplands CO2 fluxes in Europe H. Bazzi et al.
361. Incorporating Spatial Autocorrelation into GPP Estimation Using Eigenvector Spatial Filtering R. Xu et al.
362. Water Stress Dominates 21st‐Century Tropical Land Carbon Uptake P. Levine et al.
363. A boreal forest model benchmarking dataset for North America: a case study with the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC) B. Qu et al.
364. The optimal applications of scPDSI and SPEI in characterizing meteorological drought, agricultural drought and terrestrial water availability on a global scale Q. Liu et al.
365. Spatial homogeneity from temporal stability: Exploiting the combined hyper-frequent revisit of Terra and Aqua to guide Earth System Science G. Duveiller et al.
366. Machine learning-based global maps of ecological variables and the challenge of assessing them H. Meyer & E. Pebesma
367. Global carbon flux dataset generated by fusing remote sensing and multiple flux networks observation Q. Yuan et al.
368. Empirical upscaling of OzFlux eddy covariance for high-resolution monitoring of terrestrial carbon uptake in Australia C. Burton et al.
369. Determination of Region of Influence Obtained by Aircraft Vertical Profiles Using the Density of Trajectories from the HYSPLIT Model H. Cassol et al.
370. Carbon and methane fluxes from typical pasture-based beef cattle production systems in the Southeastern USA R. Bracho et al.
371. Widespread underestimation of ecosystem water use efficiency in CMIP6 models D. Li & S. Wang
372. A novel memory-based deep learning framework for reliable joint estimation of daily vegetation carbon fluxes X. Chen et al.
373. Ecosystem carbon use efficiency at global scale from upscaling eddy-covariance data with machine learning and MODIS products M. Campos-Taberner et al.
374. 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.
375. ERA5-Land: a state-of-the-art global reanalysis dataset for land applications J. Muñoz-Sabater et al.
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377. FLUXNET-CH4: a global, multi-ecosystem dataset and analysis of methane seasonality from freshwater wetlands K. Delwiche et al.
378. Gap-filling carbon dioxide, water, energy, and methane fluxes in challenging ecosystems: Comparing between methods, drivers, and gap-lengths S. Zhu et al.
379. Human activities rather than climate change dominate the growth of carbon fluxes in the Hexi Corridor oasis area, China X. Zhou et al.
380. Comparative Analysis of Two Machine Learning Algorithms in Predicting Site-Level Net Ecosystem Exchange in Major Biomes J. Liu et al.
381. Error characterization of global land evapotranspiration products: Collocation-based approach C. Li et al.
382. 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.
383. Improving CLM5.0 Biomass and Carbon Exchange Across the Western United States Using a Data Assimilation System B. Raczka et al.
384. Securing the forest carbon sink for the European Union’s climate ambition M. Migliavacca et al.
385. Relative uptake of carbonyl sulphide to carbon dioxide: insights from a coupled boundary layer – canopy inverse modelling framework P. Bosman et al.
386. Modeling Global Carbon Costs of Plant Nitrogen and Phosphorus Acquisition R. Braghiere et al.
387. Estimation of Net Ecosystem Productivity on the Tibetan Plateau Grassland from 1982 to 2018 Based on Random Forest Model J. Zheng et al.
388. Precipitation–fire functional interactions control biomass stocks and carbon exchanges across the world's largest savanna M. Williams et al.
389. Increased productivity of temperate vegetation in the preceding year drives early spring phenology in the subsequent year in northern China Q. Zhang et al.
390. CARDAMOM-FluxVal version 1.0: a FLUXNET-based validation system for CARDAMOM carbon and water flux estimates Y. Yang et al.
391. Impacts of Land Use Change and Atmospheric CO2 on Gross Primary Productivity (GPP), Evaporation, and Climate in Southern Amazon L. Rezende et al.
392. Improving the spatial and temporal estimation of ecosystem respiration using multi-source data and machine learning methods in a rainfed winter wheat cropland R. Lu et al.
393. Quantifying the role of ozone-caused damage to vegetation in the Earth system: a new parameterization scheme for photosynthetic and stomatal responses F. Li et al.
394. COS-derived GPP relationships with temperature and light help explain high-latitude atmospheric CO 2 seasonal cycle amplification L. Hu et al.
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400. Recent Advances and Challenges in Monitoring and Modeling Non-Growing Season Carbon Dioxide Fluxes from the Arctic Boreal Zone K. Arndt et al.
401. Soil Respiration Phenology Improves Modeled Phase of Terrestrial net Ecosystem Exchange in Northern Hemisphere K. Endsley et al.
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408. Very high-resolution Net Ecosystem Exchange over India using Vegetation Photosynthesis and Respiration Model (VPRM) simulations A. Raju et al.
409. State of the Art in Monitoring Methane Emissions from Arctic–boreal Wetlands and Lakes M. Mahdianpari et al.
410. Carbon uptake in Eurasian boreal forests dominates the high‐latitude net ecosystem carbon budget J. Watts et al.
411. Hydroclimatic extremes contribute to asymmetric trends in ecosystem productivity loss J. Li et al.
412. Altered seasonal sensitivity of net ecosystem exchange to controls driven by nutrient balances in a semi-arid savanna L. Nadolski et al.
413. Satellite-based reflectances capture large fraction of variability in global gross primary production (GPP) at weekly time scales J. Joiner & Y. Yoshida
414. Machine learning-based investigation of forest evapotranspiration, net ecosystem productivity, water use efficiency and their climate controls at meteorological station level H. Shi et al.
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416. Winter greening on the Tibetan Plateau induced by climate warming over 2000-2021 J. Lv et al.
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419. Upscaling Net Ecosystem Exchange Over Heterogeneous Landscapes With Machine Learning O. Reitz et al.
420. MCI GPP: ensembling a global model- and climate-independent gross primary productivity for 2001–2023 J. Pu et al.
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423. Resolving heterogeneous fluxes from tundra halves the growing season carbon budget S. Ludwig et al.
424. Autumn cooling paused increased CO2 release in central Eurasia M. Kondo et al.
425. Tighten the Bolts and Nuts on GPP Estimations from Sites to the Globe: An Assessment of Remote Sensing Based LUE Models and Supporting Data Fields Z. Wang et al.
426. Spatial Patterns of Vegetation Activity Related to ENSO in Northern South America L. Estupinan‐Suarez et al.
427. Substantial Organic and Particulate Nitrogen and Phosphorus Export from Geomorphologically Stable African Tropical Forest Landscapes S. Baumgartner et al.
428. Ideas and perspectives: enhancing the impact of the FLUXNET network of eddy covariance sites D. Papale
429. Satellite-based solar-induced fluorescence tracks seasonal and elevational patterns of photosynthesis in California’s Sierra Nevada mountains L. Kunik et al.
430. Characterizing crop productivity under heat stress using MODIS data P. Lai et al.
431. Estimation of Carbon Dioxide and Methane Emissions and Absorption by Land and Ocean Surfaces in the 21st Century A. Olchev
432. Seasonal variation in carbon flux and the driving mechanisms in the grassland ecosystem in a mountain region of Northwest China Q. Hou & X. Yu
433. Global patterns of tree wood density H. Yang et al.
434. How the Updated Earth System Models Project Terrestrial Gross Primary Productivity in China under 1.5 and 2 °C Global Warming C. Zhang et al.
435. Modeling Global Vegetation Gross Primary Productivity, Transpiration and Hyperspectral Canopy Radiative Transfer Simultaneously Using a Next Generation Land Surface Model—CliMA Land Y. Wang et al.
436. Net Carbon Fluxes in Peninsular Spain Forests Combining the Biome-BGC Model and Machine Learning S. Sánchez-Ruiz et al.
437. 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.
438. Commercial forest carbon protocol over-credit bias delimited by zero-threshold carbon accounting B. Marino & N. Bautista
439. Advancing the understanding of coastal disturbances with a network‐of‐networks approach A. Myers‐Pigg et al.
440. Improved management reduces carbon losses in semi-arid grasslands: An analysis of upscaled CO₂ fluxes from portable chambers A. Carrascosa et al.
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445. Howland Forest, ME, USA: Multi-Gas Flux (CO2, CH4, N2O) Social Cost Product Underscores Limited Carbon Proxies B. Marino et al.
446. European Carbon Uptake has Not Benefited From Vegetation Greening X. Liu et al.
447. Remote‐Sensing Derived Trends in Gross Primary Production Explain Increases in the CO2 Seasonal Cycle Amplitude L. He et al.
448. Ideas and perspectives: Enhancing research and monitoring of carbon pools and land-to-atmosphere greenhouse gases exchange in developing countries D. Kim et al.
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450. Implications of the steady-state assumption for the global vegetation carbon turnover N. Fan et al.
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452. Global comparison of temperature and water stress representations in light use efficiency models for gross primary productivity estimation E. Gong et al.
453. Machine learning technique for net ecosystem exchange of carbon dioxide simulation and assessment: a regional analysis of Japanese islands A. Gorbarenko et al.
454. Spatially explicit and multiscale ecosystem shift probabilities and risk severity assessments in the greater Mekong subregion over three decades A. Kayiranga et al.
455. Variability and uncertainty in flux-site-scale net ecosystem exchange simulations based on machine learning and remote sensing: a systematic evaluation H. Shi et al.
456. On the Potential of Sentinel-2 for Estimating Gross Primary Production D. Pabon-Moreno et al.
457. Extreme events driving year-to-year differences in gross primary productivity across the US A. Turner et al.
458. Eddy covariance fluxes over managed ecosystems extrapolated to field scales at fine spatial resolutions S. Zhu et al.
459. Improving Global Gross Primary Productivity Estimation by Fusing Multi-Source Data Products Y. Zhang & A. Ye
460. 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.
461. Variation of gross primary productivity dominated by leaf area index in significantly greening area X. Chen et al.
462. Modeling gross primary production and transpiration from sun-induced chlorophyll fluorescence using a mechanistic light-response approach Q. Beauclaire et al.
463. Lagged effects regulate the inter-annual variability of the tropical carbon balance A. Bloom et al.
464. Evolution of light use efficiency models: Improvement, uncertainties, and implications Y. Pei et al.
465. Tracking the seasonal and inter-annual variations of global gross primary production during last four decades using satellite near-infrared reflectance data S. Wang et al.
466. Continuity of Global MODIS Terrestrial Primary Productivity Estimates in the VIIRS Era Using Model‐Data Fusion K. Endsley et al.
467. Regional estimates of gross primary production applying the Process-Based Model 3D-CMCC-FEM vs. Remote-Sensing multiple datasets D. Dalmonech et al.
468. Non‐Structural Carbohydrates Drive Vegetation Productivity: Global Insights From a Land Surface Model Z. Tu et al.
469. Vegetation canopy structure mediates the response of gross primary production to environmental drivers across multiple temporal scales Y. Zheng et al.
470. Reevaluating the contribution of grain for green program to GPP in the Loess Plateau: Insights from a process-based model Q. Wu et al.
471. Assessing the insensitivity of machine learning-based GPP estimation to data expansion and the effectiveness of vegetation partitioning strategies G. Zhe et al.
472. 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.
473. X-BASE: the first terrestrial carbon and water flux products from an extended data-driven scaling framework, FLUXCOM-X J. Nelson et al.
474. Cropland Net Ecosystem Exchange Estimation for the Inland Pampas (Argentina) Using EVI, Land Cover Maps, and Eddy Covariance Fluxes U. Marconato et al.
475. Would the obtainable gross primary productivity (GPP) products stand up? A critical assessment of 45 global GPP products Y. Zhang & A. Ye
476. Soil respiration strongly offsets carbon uptake in Alaska and Northwest Canada J. Watts et al.
477. BESSv2.0: A satellite-based and coupled-process model for quantifying long-term global land–atmosphere fluxes B. Li et al.
478. 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.
479. The weekly cycle of photosynthesis in Europe reveals the negative impact of particulate pollution on ecosystem productivity L. He et al.
480. Tipping point in North American Arctic-Boreal carbon sink persists in new generation Earth system models despite reduced uncertainty R. Braghiere et al.
481. Simulation of ecosystem fluxes with the SCOPE model: Sensitivity to parametrization and evaluation with flux tower observations E. Prikaziuk et al.
482. Greening-induced increase in evapotranspiration over Eurasia offset by CO2-induced vegetational stomatal closure X. Zhang et al.
483. Improved Estimation of the Gross Primary Production of Europe by Considering the Spatial and Temporal Changes in Photosynthetic Capacity from 2001 to 2016 Q. Wu et al.
484. An evapotranspiration deficit-based drought index to detect variability of terrestrial carbon productivity in the Middle East K. Alsafadi et al.
485. Carbon dioxide fertilization enhanced carbon sink offset by climate change and land use in Amazonia on a centennial scale B. Chen et al.
486. A U.S. scientific community review of carbon cycle science gaps and opportunities to better support earth system science and carbon management N. Parazoo et al.
487. Validation of terrestrial biogeochemistry in CMIP6 Earth system models: a review L. Spafford & A. MacDougall
488. Technical note: A high-resolution inverse modelling technique for estimating surface CO2 fluxes based on the NIES-TM–FLEXPART coupled transport model and its adjoint S. Maksyutov et al.
489. 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.
490. Increasing terrestrial ecosystem carbon release in response to autumn cooling and warming R. Tang et al.
491. Quantification of prediction uncertainty due to sample representation for digital soil mapping based on Third Law of Geography A. ZHU et al.
492. Key influencing factors and spatiotemporal patterns of annual net ecosystem CO2 exchange in China Y. Xu et al.
493. Plant uptake of CO2outpaces losses from permafrost and plant respiration on the Tibetan Plateau D. Wei et al.
494. Rapidly changing high-latitude seasonality: implications for the 21st century carbon cycle in Alaska I. Shirley et al.
495. Thirty years of decrease in global terrestrial ecosystem respiration due to declining moisture availability N. Li et al.
496. The spatial and environmental distribution of the global eddy covariance tower network P. Stoy et al.
497. A novel approach for retrieving GPP of evergreen forest regions of India using random forest regression D. Sarkar et al.
498. Seasonal and interannual variability in CO2 fluxes in southern Africa seen by GOSAT E. Metz et al.
499. Research into land atmosphere interactions supports the sustainable development agenda G. Hayman et al.
500. Do we have globally representative data to understand soil processes? A. Malhotra et al.
501. Modeling Terrestrial Net Ecosystem Exchange Based on Deep Learning in China Z. Chen et al.
502. New evidence for age-related decline in carbon sinks in intact boreal forests N. Huang et al.
503. Impact of merging of historical and future climate data sets on land carbon cycle projections for South America C. Huntingford et al.
504. Remote sensing proxies underestimate fire-induced gross primary productivity loss and overestimate recovery in forests X. Fan et al.
505. Hybrid deep learning model with joint water-carbon constraints for simultaneous estimation of evapotranspiration and gross primary production Y. Rong et al.
506. Improving global gross primary productivity estimation using two-leaf light use efficiency model by considering various environmental factors via machine learning Z. Li et al.
507. Sun-induced fluorescence as a proxy for primary productivity across vegetation types and climates M. Pickering et al.
508. Agricultural fertilization significantly enhances amplitude of land-atmosphere CO2 exchange D. Lombardozzi et al.
509. 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.
510. First global carbon dynamics from an observational and process-informed hybrid perspective: Oversimplified respiration representation likely drives divergence in terrestrial carbon sequestration across models S. Zhu et al.
511. Comparative Review of Global Methane Budget Estimation: Top-Down, Bottom-Up, and Integrated Approaches B. Alem et al.