Winter respiratory C losses provide explanatory power for net ecosystem productivity
| Autor: | Haeni, M., Zweifel, R., Eugster, W., Gessler, A., Zielis, S., Bernhofer, C., Carrara, A., Gruenwald, T., Havrankova, K., Heinesch, B., Herbst, M., Ibrom, A., Knohl, A., Lagergren, F., Law, B. E., Marek, M., Matteucci, G., Mccaughey, J. H., Minerbi, S., Montagnani, L., Moors, E., Olejnik, J., Marian Pavelka, Pilegaard, K., Pita, G., Rodrigues, A., Sanz Sanchez, M. J., Schelhaas, M. -J, Urbaniak, M., Valentini, R., Varlagin, A., Vesala, T., Vincke, C., Wu, J., Buchmann, N. |
|---|---|
| Přispěvatelé: | Earth and Climate, Department of Physics, Ecosystem processes (INAR Forest Sciences), Department of Forest Sciences, Micrometeorology and biogeochemical cycles |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
LEAF CHARACTERISTICS
4112 Forestry CO2 exchange CO exchange SPACEBORNE IMAGING SPECTROSCOPY 114 Physical sciences growing season length TEMPERATE DECIDUOUS FOREST BEECH FAGUS-SYLVATICA Carbon sink Carbon source Eddy covariance Growing season length Winter respiration carbon sink STEM RADIUS CHANGES carbon source eddy covariance winter respiration MIXEDWOOD BOREAL FOREST SDG 13 - Climate Action WATER-VAPOR EXCHANGE CARBON UPTAKE INTERANNUAL VARIABILITY PHOTOSYNTHETIC CAPACITY 1172 Environmental sciences |
| Zdroj: | Journal of Geophysical Research: Biogeosciences, 122 (1) Haeni, M, Zweifel, R, Eugster, W, Gessler, A, Zielis, S, Bernhofer, C, Carrara, A, Grünwald, T, Havránková, K, Heinesch, B, Herbst, M, Ibrom, A, Knohl, A, Lagergren, F, Law, B E, Marek, M, Matteucci, G, McCaughey, J H, Minerbi, S, Montagnani, L, Moors, E, Olejnik, J, Pavelka, M, Pilegaard, K, Pita, G, Rodrigues, A, Sanz Sánchez, M J, Schelhaas, M J, Urbaniak, M, Valentini, R, Varlagin, A, Vesala, T, Vincke, C, Wu, J & Buchmann, N 2017, ' Winter respiratory C losses provide explanatory power for net ecosystem productivity ', Journal of Geophysical Research: Biogeosciences, vol. 122, no. 1, pp. 243-260 . https://doi.org/10.1002/2016JG003455 Journal of Geophysical Research. Biogeosciences (Online) 122 (2017): 243–260. doi:10.1002/2016JG003455 info:cnr-pdr/source/autori:Haeni M.; Zweifel R.; Eugster W.; Gessler A.; Zielis S.; Bernhofer C.; Carrara A.; Grunwald T.; Havrankova K.; Heinesch B.; Herbst M.; Ibrom A.; Knohl A.; Lagergren F.; Law B.E.; Marek M.; Matteucci G.; McCaughey J.H.; Minerbi S.; Montagnani L.; Moors E.; Olejnik J.; Pavelka M.; Pilegaard K.; Pita G.; Rodrigues A.; Sanz Sanchez M.J.; Schelhaas M.-J.; Urbaniak M.; Valentini R.; Varlagin A.; Vesala T.; Vincke C.; Wu J.; Buchmann N./titolo:Winter respiratory C losses provide explanatory power for net ecosystem productivity/doi:10.1002%2F2016JG003455/rivista:Journal of Geophysical Research. Biogeosciences (Online)/anno:2017/pagina_da:243/pagina_a:260/intervallo_pagine:243–260/volume:122 Journal of Geophysical Research: Biogeosciences, 122(1), 243-260. American Geophysical Union ResearcherID |
| ISSN: | 2169-8953 |
| DOI: | 10.1002/2016JG003455 |
| Popis: | Accurate predictions of net ecosystem productivity (NEPc) of forest ecosystems are essential for climate change decisions and requirements in the context of national forest growth and greenhouse gas inventories. However, drivers and underlying mechanisms determining NEPc (e.g., climate and nutrients) are not entirely understood yet, particularly when considering the influence of past periods. Here we explored the explanatory power of the compensation day (cDOY)—defined as the day of year when winter net carbon losses are compensated by spring assimilation—for NEPc in 26 forests in Europe, North America, and Australia, using different NEPc integration methods. We found cDOY to be a particularly powerful predictor for NEPc of temperate evergreen needleleaf forests (R2 = 0.58) and deciduous broadleaf forests (R2 = 0.68). In general, the latest cDOY correlated with the lowest NEPc. The explanatory power of cDOY depended on the integration method for NEPc, forest type, and whether the site had a distinct winter net respiratory carbon loss or not. The integration methods starting in autumn led to better predictions of NEPc from cDOY then the classical calendar method starting 1 January. Limited explanatory power of cDOY for NEPc was found for warmer sites with no distinct winter respiratory loss period. Our findings highlight the importance of the influence of winter processes and the delayed responses of previous seasons' climatic conditions on current year's NEPc. Such carry-over effects may contain information from climatic conditions, carbon storage levels, and hydraulic traits of several years back in time. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Plný text