568 citations as recorded by crossref.

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7. Model simulations of arctic biogeochemistry and permafrost extent are highly sensitive to the implemented snow scheme in LPJ-GUESS A. Pongracz et al. https://doi.org/10.5194/bg-18-5767-2021
8. Amplified Feedback Mechanism of the Forests-Aerosols-Climate System T. Hede et al. https://doi.org/10.1155/2015/262980
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10. Carbon budget estimation of a subarctic catchment using a dynamic ecosystem model at high spatial resolution J. Tang et al. https://doi.org/10.5194/bg-12-2791-2015
11. plant: A package for modelling forest trait ecology and evolution D. Falster et al. https://doi.org/10.1111/2041-210X.12525
12. Reducing uncertainty in ecosystem service modelling through weighted ensembles D. Hooftman et al. https://doi.org/10.1016/j.ecoser.2021.101398
13. Europe's transport infrastructure is not ready to face climate change C. Deidda et al. https://doi.org/10.5194/nhess-26-3345-2026
14. CH4 emissions from Northern Europe wetlands: compared data assimilation approaches G. Monteil et al. https://doi.org/10.5194/acp-25-14251-2025
15. Vegetation biomass change in China in the 20th century: an assessment based on a combination of multi-model simulations and field observations X. Song et al. https://doi.org/10.1088/1748-9326/ab94e8
16. The impacts of reduced ice sheets, vegetation, and elevated CO 2 on future Arctic climates K. Power & Q. Zhang https://doi.org/10.1080/15230430.2024.2433860
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18. Overcoming conceptual hurdles to accurately represent trees as cohorts in forest landscape models E. Gustafson et al. https://doi.org/10.1016/j.ecolmodel.2024.110657
19. A meta-analysis of crop response patterns to nitrogen limitation for improved model representation V. Seufert et al. https://doi.org/10.1371/journal.pone.0223508
20. Impacts of Large‐Scale Sahara Solar Farms on Global Climate and Vegetation Cover Z. Lu et al. https://doi.org/10.1029/2020GL090789
21. Variable tree rooting strategies are key for modelling the distribution, productivity and evapotranspiration of tropical evergreen forests B. Sakschewski et al. https://doi.org/10.5194/bg-18-4091-2021
22. Carbon-phosphorus cycle models overestimate CO 2 enrichment response in a mature Eucalyptus forest M. Jiang et al. https://doi.org/10.1126/sciadv.adl5822
23. Cross-scale convergence in the carbon balance of managed boreal forests in Northern Sweden M. Peichl et al. https://doi.org/10.1016/j.agrformet.2025.110926
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25. Divergent projections of future African biome shifts with process‐based and species distribution models S. Scheiter et al. https://doi.org/10.1002/ecog.08176
26. Forest carbon sink in the U.S. (1870–2012) driven by substitution of forest ecosystem service flows A. Magerl et al. https://doi.org/10.1016/j.resconrec.2021.105927
27. Global Carbon Budget 2024 P. Friedlingstein et al. https://doi.org/10.5194/essd-17-965-2025
28. Tree mortality submodels drive simulated long‐term forest dynamics: assessing 15 models from the stand to global scale H. Bugmann et al. https://doi.org/10.1002/ecs2.2616
29. Emergent climate and CO2 sensitivities of net primary productivity in ecosystem models do not agree with empirical data in temperate forests of eastern North America C. Rollinson et al. https://doi.org/10.1111/gcb.13626
30. Regional carbon stock assessment and the potential effects of land cover change J. Fryer & I. Williams https://doi.org/10.1016/j.scitotenv.2021.145815
31. Challenging terrestrial biosphere models with data from the long‐term multifactor Prairie Heating and CO2 Enrichment experiment M. De Kauwe et al. https://doi.org/10.1111/gcb.13643
32. Influence of land cover change on atmospheric organic gases, aerosols, and radiative effects R. Vella et al. https://doi.org/10.5194/acp-25-243-2025
33. The Atlantic ocean's decadal variability in mid-Holocene simulations using Shannon's entropy I. Gorenstein et al. https://doi.org/10.5194/gmd-19-3689-2026
34. Declining global leaf nitrogen content: smart resource use by flexible plants? B. Smith https://doi.org/10.1111/nph.18354
35. Global evaluation of terrestrial biogeochemistry in the Energy Exascale Earth System Model (E3SM) and the role of the phosphorus cycle in the historical terrestrial carbon balance X. Yang et al. https://doi.org/10.5194/bg-20-2813-2023
36. Assessment of Terrestrial Carbon Sinks in China Simulated by Multiple Vegetation Models W. Xu et al. https://doi.org/10.3390/land14061246
37. Different trends of vegetation activity over northern extratropics during two multidecadal warming periods in the 20th century Z. Guo et al. https://doi.org/10.1016/j.gloplacha.2023.104181
38. Pronounced and unavoidable impacts of low-end global warming on northern high-latitude land ecosystems A. Ito et al. https://doi.org/10.1088/1748-9326/ab702b
39. Comparison of forest above‐ground biomass from dynamic global vegetation models with spatially explicit remotely sensed observation‐based estimates H. Yang et al. https://doi.org/10.1111/gcb.15117
40. Amazon forest response to CO2 fertilization dependent on plant phosphorus acquisition K. Fleischer et al. https://doi.org/10.1038/s41561-019-0404-9
41. Quantitative assessment of fire and vegetation properties in simulations with fire-enabled vegetation models from the Fire Model Intercomparison Project S. Hantson et al. https://doi.org/10.5194/gmd-13-3299-2020
42. The Dependence of Ecosystem Water Use Partitioning on Vegetation Productivity at the Inter‐Annual Time Scale Z. Jing et al. https://doi.org/10.1029/2020JD033756
43. Sources of Uncertainty in Regional and Global Terrestrial CO2 Exchange Estimates A. Bastos et al. https://doi.org/10.1029/2019GB006393
44. The Role of Migration in the Change of Northern Hemisphere Vegetation for the Past 50,000 Years D. Zani et al. https://doi.org/10.1111/jbi.15131
45. Representing agriculture in Earth System Models: Approaches and priorities for development S. McDermid et al. https://doi.org/10.1002/2016MS000749
46. Reviews and syntheses: Field data to benchmark the carbon cycle models for tropical forests D. Clark et al. https://doi.org/10.5194/bg-14-4663-2017
47. Environmentally dependent wood density influences forest structure and dynamics in a demographic vegetation model A. Voss et al. https://doi.org/10.1017/qpb.2026.10038
48. Reducing the computational cost of dynamic global vegetation models with locally weighted hierarchical clustering J. Priesner et al. https://doi.org/10.1140/epjs/s11734-026-02526-1
49. Caught in a bottleneck: Habitat loss for woolly mammoths in central North America and the ice‐free corridor during the last deglaciation Y. Wang et al. https://doi.org/10.1111/geb.13238
50. Nitrogen leaching from natural ecosystems under global change: a modelling study M. Braakhekke et al. https://doi.org/10.5194/esd-8-1121-2017
51. Comparing machine learning-derived global estimates of soil respiration and its components with those from terrestrial ecosystem models H. Lu et al. https://doi.org/10.1088/1748-9326/abf526
52. Separating direct and indirect effects of rising temperatures on biogenic volatile emissions in the Arctic R. Rinnan et al. https://doi.org/10.1073/pnas.2008901117
53. Multiscale predictors of small tree survival across a heterogeneous tropical landscape E. Helmer et al. https://doi.org/10.1371/journal.pone.0280322
54. Evaluating the Interplay Between Biophysical Processes and Leaf Area Changes in Land Surface Models G. Forzieri et al. https://doi.org/10.1002/2018MS001284
55. Emergent Shapes of Trait-Based Competition Functions from Resource-Based Models: A Gaussian Is Not Normal in Plant Communities D. Falster et al. https://doi.org/10.1086/714868
56. Modelling managed forest ecosystems in Sweden: An evaluation from the stand to the regional scale J. Bergkvist et al. https://doi.org/10.1016/j.ecolmodel.2022.110253
57. Assessment of the impacts of biological nitrogen fixation structural uncertainty in CMIP6 earth system models T. Davies-Barnard et al. https://doi.org/10.5194/bg-19-3491-2022
58. The biogeophysical effects of idealized land cover and land management changes in Earth system models S. De Hertog et al. https://doi.org/10.5194/esd-13-1305-2022
59. Using research networks to create the comprehensive datasets needed to assess nutrient availability as a key determinant of terrestrial carbon cycling S. Vicca et al. https://doi.org/10.1088/1748-9326/aaeae7
60. Optimizing runoff simulation in three mid-high latitude catchments by integrating terrestrial ecosystem modelling, hybrid machine learning, and causal inference H. Zhou et al. https://doi.org/10.1016/j.ejrh.2025.103085
61. Large-scale vegetation response to the 8.2 ka BP cooling event in East Asia W. Zhao et al. https://doi.org/10.1016/j.palaeo.2022.111303
62. Modelling changes in vegetation productivity and carbon balance under future climate scenarios in southeastern Australia B. Wang et al. https://doi.org/10.1016/j.scitotenv.2024.171748
63. Inclusion of bedrock vadose zone in dynamic global vegetation models is key for simulating vegetation structure and function D. Lapides et al. https://doi.org/10.5194/bg-21-1801-2024
64. Rangeland Livelihood Strategies under Varying Climate Regimes: Model Insights from Southern Kenya R. Kariuki et al. https://doi.org/10.3390/land7020047
65. The European forest carbon budget under future climate conditions and current management practices R. Pilli et al. https://doi.org/10.5194/bg-19-3263-2022
66. Assessment of a full-field initialized decadal climate prediction system with the CMIP6 version of EC-Earth R. Bilbao et al. https://doi.org/10.5194/esd-12-173-2021
67. Advancing ecohydrological modelling: coupling LPJ-GUESS with ParFlow for integrated vegetation and surface-subsurface hydrology simulations Z. Jia et al. https://doi.org/10.5194/gmd-19-1727-2026
68. Using ecosystem experiments to improve vegetation models B. Medlyn et al. https://doi.org/10.1038/nclimate2621
69. Low-pyrolysis-temperature biochar promoted free-living N2-fixation in calcareous purple soil by affecting diazotrophic composition J. Zhao et al. https://doi.org/10.1016/j.geoderma.2021.114969
70. An abrupt shift in gross primary productivity over Eastern China-Mongolia and its inter-model diversity in land surface models D. Lee et al. https://doi.org/10.1038/s41598-023-49763-1
71. Holocene climate change in southern Oman deciphered by speleothem records and climate model simulations Y. Tian et al. https://doi.org/10.1038/s41467-023-40454-z
72. Changing Climate Threatens Irrigation Benefits of Maize Gross Primary Productivity in China D. Liao et al. https://doi.org/10.1029/2022EF003474
73. A unifying principle for global greenness patterns and trends W. Cai et al. https://doi.org/10.1038/s43247-025-01992-0
74. Observed increasing light-use efficiency of terrestrial gross primary productivity Z. Liu et al. https://doi.org/10.1016/j.agrformet.2024.110269
75. Assessing the impacts of agricultural managements on soil carbon stocks, nitrogen loss, and crop production – a modelling study in eastern Africa J. Ma et al. https://doi.org/10.5194/bg-19-2145-2022
76. Impacts of Future Climate Change and Atmospheric CO2 Concentration on Ecosystem Water Retention Service L. Yin et al. https://doi.org/10.1029/2021EF002138
77. Effect of changing vegetation and precipitation on denudation – Part 1: Predicted vegetation composition and cover over the last 21 thousand years along the Coastal Cordillera of Chile C. Werner et al. https://doi.org/10.5194/esurf-6-829-2018
78. Temperature rising would slow down tropical forest dynamic in the Guiana Shield M. Aubry-Kientz et al. https://doi.org/10.1038/s41598-019-46597-8
79. Drought sensitivity in mesic forests heightens their vulnerability to climate change R. Heilmayr et al. https://doi.org/10.1126/science.adi1071
80. The role of low temperatures, water availability and fire for the grassland biome border in South Africa M. Thavhana et al. https://doi.org/10.1016/j.sajb.2024.07.017
81. How Simulations of the Land Carbon Sink Are Biased by Ignoring Fluvial Carbon Transfers: A Case Study for the Amazon Basin R. Lauerwald et al. https://doi.org/10.1016/j.oneear.2020.07.009
82. Impact of ocean heat transport on the Arctic sea-ice decline: a model study with EC-Earth3 D. Docquier et al. https://doi.org/10.1007/s00382-020-05540-8
83. Compensatory Effects Between CO2, Nitrogen Deposition, and Nitrogen Fertilization in Terrestrial Biosphere Models Without Nitrogen Compromise Projections of the Future Terrestrial Carbon Sink S. Kou‐Giesbrecht & V. Arora https://doi.org/10.1029/2022GL102618
84. Nitrogen limitation on land: how can it occur in Earth system models? R. Thomas et al. https://doi.org/10.1111/gcb.12813
85. Daytime temperature contributes more than nighttime temperature to the weakened relationship between climate warming and vegetation growth in the extratropical Northern Hemisphere Z. Zheng et al. https://doi.org/10.1016/j.ecolind.2021.108203
86. Agrivoltaics could increase global land use efficiency compared to bioenergy B. Arendarczyk et al. https://doi.org/10.1016/j.apenergy.2026.128628
87. Multimodel Analysis of Future Land Use and Climate Change Impacts on Ecosystem Functioning A. Krause et al. https://doi.org/10.1029/2018EF001123
88. Effect of changing vegetation and precipitation on denudation – Part 2: Predicted landscape response to transient climate and vegetation cover over millennial to million-year timescales M. Schmid et al. https://doi.org/10.5194/esurf-6-859-2018
89. Modeling symbiotic biological nitrogen fixation in grain legumes globally with LPJ-GUESS (v4.0, r10285) J. Ma et al. https://doi.org/10.5194/gmd-15-815-2022
90. Global Carbon Budget 2017 C. Le Quéré et al. https://doi.org/10.5194/essd-10-405-2018
91. Leaf carbon and nitrogen stoichiometric variation along environmental gradients H. Xu et al. https://doi.org/10.5194/bg-20-4511-2023
92. Changes in global atmospheric oxidant chemistry from land cover conversion R. Vella et al. https://doi.org/10.5194/acp-25-9885-2025
93. Interactive climate factors restrict future increases in spring productivity of temperate and boreal trees C. Zohner et al. https://doi.org/10.1111/gcb.15098
94. Reconciling East Asia's mid-Holocene temperature discrepancy through vegetation-climate feedback J. Chen et al. https://doi.org/10.1016/j.scib.2024.04.012
95. Stratospheric aerosol climate intervention could reduce crop nutritional value B. Clark et al. https://doi.org/10.1088/1748-9326/ae1151
96. 权衡碳固存和耗水量的全球生态恢复框架 庆. 韩 et al. https://doi.org/10.1360/N072025-0308
97. Evaluation of soil carbon dynamics after forest cover change in CMIP6 land models using chronosequences L. Boysen et al. https://doi.org/10.1088/1748-9326/ac0be1
98. A CO2–Δ14CO2 inversion setup for estimating European fossil CO2 emissions C. Gómez-Ortiz et al. https://doi.org/10.5194/acp-25-397-2025
99. Impacts of climate change on biodiversity and ecosystems in Bavaria: a sectoral analysis S. Rubanschi et al. https://doi.org/10.1007/s10113-026-02586-y
100. Evaluation of native Earth system model output with ESMValTool v2.6.0 M. Schlund et al. https://doi.org/10.5194/gmd-16-315-2023
101. Large-scale photovoltaic deployment in the Taklamakan Desert could intensify regional water stress T. Xie et al. https://doi.org/10.1016/j.scib.2026.05.005
102. Exploring Populus phenological response to climate change using observational data and ecosystem modelling T. Svystun & A. Jönsson https://doi.org/10.1016/j.agrformet.2021.108766
103. Climate change and elevated CO2 favor forest over savanna under different future scenarios in South Asia D. Kumar et al. https://doi.org/10.5194/bg-18-2957-2021
104. Vegetation patterns and competitive dynamics along elevation gradients: interactions between environmental factors and vegetation in the Central Himalayas P. Paudel et al. https://doi.org/10.5194/bg-23-4999-2026
105. Global Carbon Budget 2016 C. Le Quéré et al. https://doi.org/10.5194/essd-8-605-2016
106. Mechanisms Controlling Carbon Sinks in Semi‐Arid Mountain Ecosystems W. Guo et al. https://doi.org/10.1029/2021GB007186
107. Biogeochemical versus biogeophysical temperature effects of historical land-use change in CMIP6 A. Amali et al. https://doi.org/10.5194/esd-16-803-2025
108. An ecosystem model based composite indicator, representing sustainability aspects for comparison of forest management strategies N. Tarasewicz & A. Jönsson https://doi.org/10.1016/j.ecolind.2021.108456
109. Assessing the impact of strictly protecting 30%–50% of global land on carbon dynamics in natural and agricultural ecosystems H. Camargo‐Alvarez et al. https://doi.org/10.1002/ppp3.10612
110. Controls of terrestrial ecosystem nitrogen loss on simulated productivity responses to elevated CO2 J. Meyerholt & S. Zaehle https://doi.org/10.5194/bg-15-5677-2018
111. Benefits and trade-offs of optimizing global land use for food, water, and carbon A. Bayer et al. https://doi.org/10.1073/pnas.2220371120
112. Estimating the Global Influence of Cover Crops on Ecosystem Service Indicators in Croplands With the LPJ‐GUESS Model J. Ma et al. https://doi.org/10.1029/2022EF003142
113. Solar‐Induced Fluorescence Helps Constrain Global Patterns in Net Biosphere Exchange, as Estimated Using Atmospheric CO2 Observations M. Zhang et al. https://doi.org/10.1029/2023JG007703
114. Modeling the role of highly oxidized multifunctional organic molecules for the growth of new particles over the boreal forest region E. Öström et al. https://doi.org/10.5194/acp-17-8887-2017
115. 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. https://doi.org/10.1016/j.jag.2024.103666
116. Human population growth offsets climate-driven increase in woody vegetation in sub-Saharan Africa M. Brandt et al. https://doi.org/10.1038/s41559-017-0081
117. Including vegetation dynamics in an atmospheric chemistry-enabled general circulation model: linking LPJ-GUESS (v4.0) with the EMAC modelling system (v2.53) M. Forrest et al. https://doi.org/10.5194/gmd-13-1285-2020
118. An R package facilitating sensitivity analysis, calibration and forward simulations with the LPJ-GUESS dynamic vegetation model M. Bagnara et al. https://doi.org/10.1016/j.envsoft.2018.09.004
119. Atmospheric anthropogenic CO2 variations observed by tower in-situ measurements and simulated by the STILT model in the Beijing megacity region H. Yang et al. https://doi.org/10.1016/j.atmosres.2025.108258
120. Impacts of land use on climate and ecosystem productivity over the Amazon and the South American continent M. Wu et al. https://doi.org/10.1088/1748-9326/aa6fd6
121. MMM: A C++ library for simulating large herbivores W. Traylor https://doi.org/10.21105/joss.03631
122. Accounting for forest management in the estimation of forest carbon balance using the dynamic vegetation model LPJ-GUESS (v4.0, r9710): implementation and evaluation of simulations for Europe M. Lindeskog et al. https://doi.org/10.5194/gmd-14-6071-2021
123. Vegetation‐Climate Feedbacks Enhance Spatial Heterogeneity of Pan‐Amazonian Ecosystem States Under Climate Change M. Wu et al. https://doi.org/10.1029/2020GL092001
124. Impacts of climate mitigation strategies in the energy sector on global land use and carbon balance K. Engström et al. https://doi.org/10.5194/esd-8-773-2017
125. Plant belowground traits indicate increased plant-mediated methane transport along a peatland permafrost thaw gradient T. Määttä et al. https://doi.org/10.5194/bg-23-6639-2026
126. Subfossil peatland trees as proxies for Holocene palaeohydrology and palaeoclimate J. Edvardsson et al. https://doi.org/10.1016/j.earscirev.2016.10.005
127. Greening drylands despite warming consistent with carbon dioxide fertilization effect A. Gonsamo et al. https://doi.org/10.1111/gcb.15658
128. A model using marginal efficiency of investment to analyze carbon and nitrogen interactions in terrestrial ecosystems (ACONITE Version 1) R. Thomas & M. Williams https://doi.org/10.5194/gmd-7-2015-2014
129. Dynamic Variation of Vegetation NPP and Its Driving Forces in the Yellow River Basin, China S. Wang et al. https://doi.org/10.1007/s11769-024-1477-y
130. Emulating grid-based forest carbon dynamics using machine learning: an LPJ-GUESS v4.1.1 application C. Natel et al. https://doi.org/10.5194/gmd-18-4317-2025
131. Identifying uncertainties in scenarios and models of socio-ecological systems in support of decision-making M. Rounsevell et al. https://doi.org/10.1016/j.oneear.2021.06.003
132. Modelled land use and land cover change emissions – a spatio-temporal comparison of different approaches W. Obermeier et al. https://doi.org/10.5194/esd-12-635-2021
133. 植被模型研究进展与展望 思. 李 et al. https://doi.org/10.1360/SSTe-2023-0204
134. Statistical challenges in estimating past climate changes J. Sweeney et al. https://doi.org/10.1002/wics.1437
135. Integrating terrestrial laser scanning with functional–structural plant models to investigate ecological and evolutionary processes of forest communities H. O’Sullivan et al. https://doi.org/10.1093/aob/mcab120
136. Ocean response to a century of observation-based freshwater forcing around Greenland in EC-Earth3 M. Devilliers et al. https://doi.org/10.1007/s00382-024-07142-0
137. Did the Bronze Age deforestation of Europe affect its climate? A regional climate model study using pollen-based land cover reconstructions G. Strandberg et al. https://doi.org/10.5194/cp-19-1507-2023
138. Mid-Holocene West African monsoon rainfall enhanced in EC-Earth simulation with dynamic vegetation feedback E. Berntell & Q. Zhang https://doi.org/10.1007/s00382-024-07262-7
139. Dynamics and future projections of Indian forest carbon stocks under different emission pathways using CMIP6 and LPJ-GUESS F. Fitha et al. https://doi.org/10.1088/2752-5295/ae4f15
140. Leaf temperature and its departure from ambient air temperature X. Lian et al. https://doi.org/10.1038/s41477-026-02304-w
141. Modelling forests as social-ecological systems: A systematic comparison of agent-based approaches H. Ekström et al. https://doi.org/10.1016/j.envsoft.2024.105998
142. Modelling Analysis of Climate and Soil Depth Effects on Pine Tree Dieback in Korea Using BIOME-BGC S. Kang et al. https://doi.org/10.5532/KJAFM.2016.18.4.242
143. Frost matters: incorporating late-spring frost into a dynamic vegetation model regulates regional productivity dynamics in European beech forests B. Meyer et al. https://doi.org/10.5194/bg-21-1355-2024
144. A global dataset of soil organic carbon mineralization in response to incubation temperature changes S. Zhang et al. https://doi.org/10.5194/essd-18-131-2026
145. Recent CO2 rise has modified the sensitivity of tropical tree growth to rainfall and temperature P. Zuidema et al. https://doi.org/10.1111/gcb.15092
146. Changes in land-leaching nitrogen and its linkages to lake algal blooms in China M. Kong et al. https://doi.org/10.1088/2752-664X/adb1ec
147. Nitrogen feedbacks increase future terrestrial ecosystem carbon uptake in an individual-based dynamic vegetation model D. Wårlind et al. https://doi.org/10.5194/bg-11-6131-2014
148. Disentangling future effects of climate change and forest disturbance on vegetation composition and land surface properties of the boreal forest L. Layritz et al. https://doi.org/10.5194/bg-22-3635-2025
149. Substantial uncertainties in global soil organic carbon simulated by multiple terrestrial carbon cycle models Z. Wang et al. https://doi.org/10.1002/ldr.4679
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153. Challenges in modelling isoprene and monoterpene emission dynamics of Arctic plants: a case study from a subarctic tundra heath J. Tang et al. https://doi.org/10.5194/bg-13-6651-2016
154. Soil nitrogen mineralization explains seasonal uncertainty of gross primary production estimation for a deciduous broadleaf forest by a light use efficiency model X. Huang et al. https://doi.org/10.1016/j.ecolind.2026.115263
155. Tropospheric ozone radiative forcing uncertainty due to pre-industrial fire and biogenic emissions M. Rowlinson et al. https://doi.org/10.5194/acp-20-10937-2020
156. Long-term biomass growth unimpeded by short-term photosynthetic decoupling N. Nguyen et al. https://doi.org/10.1038/s41477-026-02418-1
157. Tracing carbon dynamics during vegetation succession in a subtropical forest L. Chen et al. https://doi.org/10.1111/1365-2745.70319
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