Winter respiratory C losses provide explanatory power for net ecosystem productivity. Issue 1 (30th January 2017)
- Record Type:
- Journal Article
- Title:
- Winter respiratory C losses provide explanatory power for net ecosystem productivity. Issue 1 (30th January 2017)
- Main Title:
- Winter respiratory C losses provide explanatory power for net ecosystem productivity
- Authors:
- 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.
… (more) - Abstract:
- Abstract: 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 ( R 2 = 0.58) and deciduous broadleaf forests ( R 2 = 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'sAbstract: 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 ( R 2 = 0.58) and deciduous broadleaf forests ( R 2 = 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. Key Points: Compensation day (cDOY) is the day of year when net C losses during winter are compensated by net C uptake in spring cDOY largely explains annual net ecosystem productivity NEPc of forests when the site has a distinct winter respiratory loss period cDOY and its explanatory power depends on the integration method for annual NEPc and on the forest type … (more)
- Is Part Of:
- Journal of geophysical research. Volume 122:Issue 1(2017)
- Journal:
- Journal of geophysical research
- Issue:
- Volume 122:Issue 1(2017)
- Issue Display:
- Volume 122, Issue 1 (2017)
- Year:
- 2017
- Volume:
- 122
- Issue:
- 1
- Issue Sort Value:
- 2017-0122-0001-0000
- Page Start:
- 243
- Page End:
- 260
- Publication Date:
- 2017-01-30
- Subjects:
- eddy covariance -- CO2 exchange -- carbon sink -- carbon source -- growing season length -- winter respiration
Geobiology -- Periodicals
Biogeochemistry -- Periodicals
Biotic communities -- Periodicals
Geophysics -- Periodicals
577.14 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2169-8961 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/2016JG003455 ↗
- Languages:
- English
- ISSNs:
- 2169-8953
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4995.003000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 2130.xml