Stand age and species richness dampen interannual variation of ecosystem-level photosynthetic capacity

The total uptake of carbon dioxide by ecosystems via photosynthesis (gross primary productivity, GPP) is the largest flux in the global carbon cycle. A key ecosystem functional property determining GPP is the photosynthetic capacity at light saturation (GPPsat), and its interannual variability (IAV) is propagated to the net land–atmosphere exchange of CO2. Given the importance of understanding the IAV in CO2 fluxes for improving the predictability of the global carbon cycle, we have tested a range of alternative hypotheses to identify potential drivers of the magnitude of IAV in GPPsat in forest ecosystems. Our results show that while the IAV in GPPsat within sites is closely related to air temperature and soil water availability fluctuations, the magnitude of IAV in GPPsat is related to stand age and biodiversity (R2 = 0.55, P < 0.0001). We find that the IAV of GPPsat is greatly reduced in older and more diverse forests, and is higher in younger forests with few dominant species. Older and more diverse forests seem to dampen the effect of climate variability on the carbon cycle irrespective of forest type. Preserving old forests and their diversity would therefore be beneficial in reducing the effect of climate variability on Earth's forest ecosystems.

[1]  D. Coomes,et al.  Stabilizing effects of diversity on aboveground wood production in forest ecosystems: linking patterns and processes. , 2014, Ecology letters.

[2]  Markus Reichstein,et al.  The imprint of plants on ecosystem functioning: A data-driven approach , 2015, Int. J. Appl. Earth Obs. Geoinformation.

[3]  P. Blanken,et al.  Joint control of terrestrial gross primary productivity by plant phenology and physiology , 2015, Proceedings of the National Academy of Sciences.

[4]  A. Baccini,et al.  Mapping forest canopy height globally with spaceborne lidar , 2011 .

[5]  Scott V. Ollinger,et al.  Environmental variation is directly responsible for short‐ but not long‐term variation in forest‐atmosphere carbon exchange , 2007 .

[6]  R. Giering,et al.  Retrieving surface parameters for climate models from Moderate Resolution Imaging Spectroradiometer (MODIS)-Multiangle Imaging Spectroradiometer (MISR) Albedo Products , 2007 .

[7]  Keith A. Smith,et al.  Nitrogen processes in terrestrial ecosystems , 2011 .

[8]  Yiqi Luo,et al.  Carbon and nitrogen dynamics during forest stand development: a global synthesis. , 2011, The New phytologist.

[9]  Atul K. Jain,et al.  The dominant role of semi-arid ecosystems in the trend and variability of the land CO2 sink , 2015, Science.

[10]  J. Townshend,et al.  Annual Global Automated MODIS Vegetation Continuous Fields (MOD44B) at 250 m Spatial Resolution for Data Years Beginning Day 65, 2000 - 2010 , 2017 .

[11]  Maria L. Rizzo,et al.  Measuring and testing dependence by correlation of distances , 2007, 0803.4101.

[12]  A. Granier,et al.  Does Drought Influence the Relationship Between Biodiversity and Ecosystem Functioning in Boreal Forests? , 2014, Ecosystems.

[13]  W. Oechel,et al.  Potential and limitations of inferring ecosystem photosynthetic capacity from leaf functional traits , 2016, Ecology and evolution.

[14]  N. C. Strugnell,et al.  First operational BRDF, albedo nadir reflectance products from MODIS , 2002 .

[15]  Acknowledgements , 1992, Experimental Gerontology.

[16]  Markus Reichstein,et al.  Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms , 2016 .

[17]  Andrew E. Suyker,et al.  Gross primary production and light response parameters of four Southern Plains ecosystems estimated using long‐term CO2‐flux tower measurements , 2003 .

[18]  S. Wofsy,et al.  Factors controlling CO2 exchange on timescales from hourly to decadal at Harvard Forest , 2007 .

[19]  C. S. Holling Resilience and Stability of Ecological Systems , 1973 .

[20]  Dennis D. Baldocchi,et al.  Are temporal variations of leaf traits responsible for seasonal and inter‐annual variability in ecosystem CO2 exchange? , 2011 .

[21]  K. Oleson,et al.  Reconciling leaf physiological traits and canopy flux data: Use of the TRY and FLUXNET databases in the Community Land Model version 4 , 2012 .

[22]  P. Ciais,et al.  Old-growth forests as global carbon sinks , 2008, Nature.

[23]  Corinne Le Quéré,et al.  Trends in the sources and sinks of carbon dioxide , 2009 .

[24]  이지형 Data Driven Approach의 시대 , 2018 .

[25]  A. Fichtner,et al.  Does Forest Continuity Enhance the Resilience of Trees to Environmental Change? , 2014, PloS one.

[26]  William N. Venables,et al.  Modern Applied Statistics with S , 2010 .

[27]  Ulrike Groemping,et al.  Relative Importance for Linear Regression in R: The Package relaimpo , 2006 .

[28]  T. A. Black,et al.  Influence of stand age on the magnitude and seasonality of carbon fluxes in Canadian forests , 2012 .

[29]  T. Vesala,et al.  On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm , 2005 .

[30]  Markus Reichstein,et al.  Linking plant and ecosystem functional biogeography , 2014, Proceedings of the National Academy of Sciences.

[31]  F. Maestre,et al.  Soil nutrient heterogeneity modulates ecosystem responses to changes in the identity and richness of plant functional groups , 2010, The Journal of ecology.

[32]  A. Knohl,et al.  Differences in carbon uptake and water use between a managed and an unmanaged beech forest in central Germany , 2015 .

[33]  P. Hari,et al.  The human footprint in the carbon cycle of temperate and boreal forests , 2007, Nature.

[34]  D. Medvigy,et al.  Effects of seasonal variation of photosynthetic capacity on the carbon fluxes of a temperate deciduous forest , 2013 .

[35]  D. Baldocchi ‘Breathing’ of the terrestrial biosphere: lessons learned from a global network of carbon dioxide flux measurement systems , 2008 .

[36]  Bernard Pinty,et al.  Evaluation of the JRC-TIP 0.01° products over a mid-latitude deciduous forest site , 2011 .

[37]  Scott J Goetz,et al.  Seasonal and interannual variability of climate and vegetation indices across the Amazon , 2010, Proceedings of the National Academy of Sciences.

[38]  H. Pretzsch,et al.  Temporal variation of competition and facilitation in mixed species forests in Central Europe. , 2014, Plant biology.

[39]  M. Sutton,et al.  The European Nitrogen Assessment: Sources, Effects and Policy Perspectives , 2011 .

[40]  Michael Obersteiner,et al.  Nutrient availability as the key regulator of global forest carbon balance , 2014 .

[41]  Marie Faerber,et al.  Old Growth Forests Function Fate And Value , 2016 .

[42]  J. Powers,et al.  Stand age and soils as drivers of plant functional traits and aboveground biomass in secondary tropical dry forest , 2014 .

[43]  Matthew J. Smith,et al.  Predictability of the terrestrial carbon cycle , 2015, Global change biology.