49 citations as recorded by crossref.

1. Satellite-Based Estimation of Carbon Dioxide Budget in Tropical Peatland Ecosystems H. Park et al. 10.3390/rs12020250
2. Simulating the Vegetation Gross Primary Productivity by the Biome-BGC Model in the Yellow River Basin of China L. Jia & B. Zhang 10.3390/w16233468
3. Modified soil hydrological schemes for process-based ecosystem model Biome-BGC T. Machimura et al. 10.3178/hrl.10.15
4. Multi-model analysis of terrestrial carbon cycles in Japan: limitations and implications of model calibration using eddy flux observations K. Ichii et al. 10.5194/bg-7-2061-2010
5. Assessing Forest Ecosystems across the Vertical Edge of the Mid-Latitude Ecotone Using the BioGeoChemistry Management Model (BGC-MAN) C. Song et al. 10.3390/f10060523
6. A long-term simulation of forest carbon fluxes over the Qilian Mountains M. Yan et al. 10.1016/j.jag.2016.07.009
7. The sensitivity of carbon sequestration to harvesting and climate conditions in a temperate cypress forest: Observations and modeling M. Ueyama et al. 10.1016/j.ecolmodel.2011.05.006
8. Temporospatial patterns of human appropriation of net primary production in Central Asia grasslands X. Huang et al. 10.1016/j.ecolind.2018.04.045
9. Modeling of evapotranspiration changes with forest management practices: A genealogical review H. Komatsu & T. Kume 10.1016/j.jhydrol.2020.124835
10. Bayesian integration of flux tower data into a process-based simulator for quantifying uncertainty in simulated output R. Raj et al. 10.5194/gmd-11-83-2018
11. Terrestrial ecosystem process model Biome-BGCMuSo v4.0: summary of improvements and new modeling possibilities D. Hidy et al. 10.5194/gmd-9-4405-2016
12. Global sensitivity analysis of a modified CENTURY model for simulating impacts of harvesting fine woody biomass for bioenergy F. Wang et al. 10.1016/j.ecolmodel.2013.03.008
13. Satellite-Based Modeling of the Carbon Fluxes in Mature Black Spruce Forests in Alaska: A Synthesis of the Eddy Covariance Data and Satellite Remote Sensing Data M. Ueyama et al. 10.1175/2010EI319.1
14. Site-level model–data synthesis of terrestrial carbon fluxes in the CarboEastAsia eddy-covariance observation network: toward future modeling efforts K. Ichii et al. 10.1007/s10310-012-0367-9
15. Direct measurement of leaf area index in a deciduous needle-leaf forest, eastern Siberia N. Shin et al. 10.1016/j.polar.2020.100550
16. Simulation of forest carbon fluxes by integrating remote sensing data into biome-BGC model R. Srinet et al. 10.1016/j.ecolmodel.2022.110185
17. Modeling grassland net primary productivity and water-use efficiency along an elevational gradient of the Northern Tianshan Mountains Q. Han et al. 10.1007/s40333-013-0182-y
18. The impact of climate variation and disturbances on the carbon balance of forests in Hokkaido, Japan R. Hirata et al. 10.5194/bg-11-5139-2014
19. 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. 10.1016/j.jhydrol.2024.131811
20. Contribution of Incorporating the Phosphorus Cycle into TRIPLEX-CNP to Improve the Quantification of Land Carbon Cycle J. Ding et al. 10.3390/land11060778
21. A Case Study of the Performance of Different Detrending Methods in Turbulent-Flux Estimation A. Donateo et al. 10.1007/s10546-017-0243-4
22. Ecological risk assessment of ecosystem services in the Taihu Lake Basin of China from 1985 to 2020 X. Xu et al. 10.1016/j.scitotenv.2016.02.120
23. A test of BIOME-BGC with dendrochronology for forests along the altitudinal gradient of Mt. Changbai in northeast China Y. Wu et al. 10.1093/jpe/rtw076
24. Impacts of land use changes on net ecosystem production in the Taihu Lake Basin of China from 1985 to 2010 X. Xu et al. 10.1002/2016JG003444
25. Terrestrial ecosystem model studies and their contributions to AsiaFlux A. ITO & K. ICHII 10.2480/agrmet.D-20-00024
26. Quantifying the contributions of agricultural oasis expansion, management practices and climate change to net primary production and evapotranspiration in croplands in arid northwest China J. Bai et al. 10.1016/j.jaridenv.2013.10.004
27. Terrestrial Ecosystem‐Atmosphere Exchange of CO2, Water and Energy from FLUXNET; Review and Meta‐Analysis of a Global in‐situ Observatory A. Oliphant 10.1111/gec3.12009
28. The role of carbon flux and biometric observations in constraining a terrestrial ecosystem model: a case study in disturbed forests in East Asia M. Kondo et al. 10.1007/s11284-013-1072-7
29. Variations in diurnal and seasonal net ecosystem carbon dioxide exchange in a semiarid sandy grassland ecosystem in China's Horqin Sandy Land Y. Niu et al. 10.5194/bg-17-6309-2020
30. Estimation of Forest NPP and Carbon Sequestration in the Three Gorges Reservoir Area, Using the Biome-BGC Model Y. Chen & W. Xiao 10.3390/f10020149
31. An approach for improving soil water content for modeling net primary production on the Qinghai-Tibetan Plateau using Biome-BGC model C. Li et al. 10.1016/j.catena.2019.104253
32. Energy balance and evapotranspiration changes in a larch forest caused by severe disturbance during an early secondary succession T. Hirano et al. 10.1016/j.agrformet.2016.10.003
33. Assessing the spatiotemporal dynamics of water and carbon fluxes in subtropical forest of Xin’an River Basin using an improved Biome-BGC model Z. Feng et al. 10.1016/j.jhydrol.2024.131201
34. Deriving forest fire ignition risk with biogeochemical process modelling C. Eastaugh & H. Hasenauer 10.1016/j.envsoft.2014.01.018
35. Lessons learned from more than a decade of greenhouse gas flux measurements at boreal forests in eastern Siberia and interior Alaska T. Hiyama et al. 10.1016/j.polar.2020.100607
36. Changes in Mortality in a Deciduous Broadleaf Forest Including Old White Birches: Y. Mizoguchi et al. 10.4005/jjfs.103.291
37. Estimation of net ecosystem production in Asia using the diagnostic‐type ecosystem model with a 10 km grid‐scale resolution T. Sasai et al. 10.1002/2015JG003157
38. Soil Fungal Community Differences in Manual Plantation Larch Forest and Natural Larch Forest in Northeast China M. Wang et al. 10.3390/microorganisms12071322
39. Evapotranspiration comparisons between eddy covariance measurements and meteorological and remote‐sensing‐based models in disturbed ponderosa pine forests W. Ha et al. 10.1002/eco.1586
40. Estimating spatial variation in the effects of climate change on the net primary production of Japanese cedar plantations based on modeled carbon dynamics J. Toriyama et al. 10.1371/journal.pone.0247165
41. The uncertainty of biomass estimates from modeled ICESat-2 returns across a boreal forest gradient P. Montesano et al. 10.1016/j.rse.2014.10.029
42. Investigation into climate change effects on carbon and water fluxes, and water use efficiency of the temperate grassland ecosystems in Inner Mongolia of China Z. Wu et al. 10.2166/ws.2023.115
43. Spatial and seasonal variations of CO2flux and photosynthetic and respiratory parameters of larch forests in East Asia K. Takagi et al. 10.1080/00380768.2014.990349
44. Integrating Remotely Sensed Leaf Area Index with Biome-BGC to Quantify the Impact of Land Use/Land Cover Change on Water Retention in Beijing B. Huang et al. 10.3390/rs14030743
45. The application of a coupled hydrological and biogeochemical model (CHANGE) for modeling of energy, water, and CO2exchanges over a larch forest in eastern Siberia H. Park et al. 10.1029/2010JD015386
46. Estimating carbon fixation of plant organs for afforestation monitoring using a process‐based ecosystem model and ecophysiological parameter optimization T. Miyauchi et al. 10.1002/ece3.5328
47. Growing season and spatial variations of carbon fluxes of Arctic and boreal ecosystems in Alaska (USA) M. Ueyama et al. 10.1890/11-0875.1
48. Evaluation of the Terrestrial Ecosystem Model Biome-BGCMuSo for Modelling Soil Organic Carbon under Different Land Uses M. Ostrogović Sever et al. 10.3390/land10090968
49. Multi-model analysis of terrestrial carbon cycles in Japan: reducing uncertainties in model outputs among different terrestrial biosphere models using flux observations K. Ichii et al. 10.5194/bgd-6-8455-2009