48 citations as recorded by crossref.

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4. Soil fluxes of carbonyl sulfide (COS), carbon monoxide, and carbon dioxide in a boreal forest in southern Finland W. Sun et al. 10.5194/acp-18-1363-2018
5. The carbon balance of a managed boreal landscape measured from a tall tower in northern Sweden J. Chi et al. 10.1016/j.agrformet.2019.04.010
6. Evidence for satellite observed changes in the relative influence of climate indicators on autumn phenology over the Northern Hemisphere H. Yuan et al. 10.1016/j.gloplacha.2020.103131
7. Thermal seasons in northern Europe in projected future climate K. Ruosteenoja et al. 10.1002/joc.6466
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9. Evaluating the complementary relationship for estimating evapotranspiration using the multi-site data across north China G. Zhu et al. 10.1016/j.agrformet.2016.06.006
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12. Proxy Indicators for Mapping the End of the Vegetation Active Period in Boreal Forests Inferred from Satellite-Observed Soil Freeze and ERA-Interim Reanalysis Air Temperature K. Böttcher et al. 10.1007/s41064-018-0059-y
13. Photosynthetically Active Radiation and Foliage Clumping Improve Satellite-Based NIRv Estimates of Gross Primary Production I. Filella et al. 10.3390/rs15082207
14. Interannual variability of net ecosystem productivity in forests is explained by carbon flux phenology in autumn C. Wu et al. 10.1111/geb.12044
15. Precipitation Mediates the Response of Carbon Cycle to Rising Temperature in the Mid-to-High Latitudes of the Northern Hemisphere X. Lin et al. 10.1371/journal.pone.0132663
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19. Assessing the Reliability of Global Carbon Flux Dataset Compared to Existing Datasets and Their Spatiotemporal Characteristics Z. Xiong et al. 10.3390/cli11100205
20. Responses of autumn vegetation phenology to climate change and urbanization at northern middle and high latitudes H. Du et al. 10.1016/j.jag.2022.103086
21. NDVI-based vegetation changes and their responses to climate change from 1982 to 2011: A case study in the Koshi River Basin in the middle Himalayas Y. Zhang et al. 10.1016/j.gloplacha.2013.06.012
22. Extreme Climate Effects on Dissolved Organic Carbon Concentrations During Snowmelt T. Tiwari et al. 10.1002/2017JG004272
23. Seasonal hysteresis of net ecosystem exchange in response to temperature change: patterns and causes S. NIU et al. 10.1111/j.1365-2486.2011.02459.x
24. Seasonal and inter-annual variability of energy exchange above a boreal Scots pine forest S. Launiainen 10.5194/bg-7-3921-2010
25. Field and controlled environment measurements show strong seasonal acclimation in photosynthesis and respiration potential in boreal Scots pine P. Kolari et al. 10.3389/fpls.2014.00717
26. Extended growing season reduced river runoff in Luanhe River basin X. Geng et al. 10.1016/j.jhydrol.2019.124538
27. Precipitation and net ecosystem exchange are the most important drivers of DOC flux in upland boreal catchments J. Pumpanen et al. 10.1002/2014JG002705
28. Seasonal and annual variation of carbon dioxide surface fluxes in Helsinki, Finland, in 2006–2010 L. Järvi et al. 10.5194/acp-12-8475-2012
29. On the causes of trends in the seasonal amplitude of atmospheric CO2 S. Piao et al. 10.1111/gcb.13909
30. Autumn Phenology and Its Covariation with Climate, Spring Phenology and Annual Peak Growth on the Mongolian Plateau G. Bao et al. 10.1016/j.agrformet.2020.108312
31. The role of air and soil temperature in the seasonality of photosynthesis and transpiration in a boreal Scots pine ecosystem S. Wu et al. 10.1016/j.agrformet.2012.01.006
32. Hemiboreal forests’ CO2 fluxes response to the European 2018 heatwave A. Krasnova et al. 10.1016/j.agrformet.2022.109042
33. Snowpack concentrations and estimated fluxes of volatile organic compounds in a boreal forest H. Aaltonen et al. 10.5194/bg-9-2033-2012
34. Evidence of autumn phenology control on annual net ecosystem productivity in two temperate deciduous forests C. Wu et al. 10.1016/j.ecoleng.2013.07.019
35. Evaluating Biosphere Model Estimates of the Start of the Vegetation Active Season in Boreal Forests by Satellite Observations K. Böttcher et al. 10.3390/rs8070580
36. How errors on meteorological variables impact simulated ecosystem fluxes: a case study for six French sites Y. Zhao et al. 10.5194/bg-9-2537-2012
37. Long-term direct CO2flux measurements over a boreal lake: Five years of eddy covariance data J. Huotari et al. 10.1029/2011GL048753
38. Changes in satellite‐derived vegetation growth trend in temperate and boreal Eurasia from 1982 to 2006 S. PIAO et al. 10.1111/j.1365-2486.2011.02419.x
39. Photosynthesis of ground vegetation in different aged pine forests: Effect of environmental factors predicted with a process-based model L. Kulmala et al. 10.1111/j.1654-1103.2010.01228.x
40. Effects of climate variability and functional changes on the interannual variation of the carbon balance in a temperate deciduous forest J. Wu et al. 10.5194/bg-9-13-2012
41. Inter- and intra-annual dynamics of photosynthesis differ between forest floor vegetation and tree canopy in a subarctic Scots pine stand L. Kulmala et al. 10.1016/j.agrformet.2019.02.029
42. Whole‐system responses of experimental plant communities to climate extremes imposed in different seasons H. De Boeck et al. 10.1111/j.1469-8137.2010.03515.x
43. Pan-Eurasian Experiment (PEEX): towards a holistic understanding of the feedbacks and interactions in the land–atmosphere–ocean–society continuum in the northern Eurasian region H. Lappalainen et al. 10.5194/acp-16-14421-2016
44. Hydrometeorological Factors Affecting the Carbon Exchange of the Himalayan Pine-dominated Ecosystem L. Khadke et al. 10.1016/j.ecoinf.2023.102446
45. 500 years of regional forest growth variability and links to climatic extreme events in Europe F. Babst et al. 10.1088/1748-9326/7/4/045705
46. Cold air drainage flows subsidize montane valley ecosystem productivity K. Novick et al. 10.1111/gcb.13320
47. Influence of spring and autumn phenological transitions on forest ecosystem productivity A. Richardson et al. 10.1098/rstb.2010.0102
48. Inter‐ and intra‐annual variability of vegetation in the northern hemisphere and its association with precursory meteorological factors B. Myoung et al. 10.1002/gbc.20017