scholarly journals Quantification and uncertainty of root growth stimulation by elevated CO2 in mature temperate deciduous forest

2021 ◽  
Author(s):  
Clare Ziegler ◽  
Aleksandra Kulawska ◽  
Angeliki Kourmouli ◽  
Liz Hamilton ◽  
Zongbo Shi ◽  
...  

AbstractIncreasing CO2 levels are a major global challenge, and the extent to which increasing anthropogenic CO2 emissions can be mitigated by natural carbon sinks remains poorly understood. The uptake of elevated CO2 (eCO2) by the terrestrial biosphere, and subsequent sequestration as biomass in ecosystems, may act as a negative feedback in the carbon budget, but remains hard to quantify in natural ecosystems. Here, we combine large-scale field observations of fine root stocks and flows, derived from belowground imaging and soil cores, with image analysis, stochastic modelling, and statistical inference, to elucidate belowground root dynamics in a mature temperate deciduous forest under free-air CO2 enrichment to 150ppm above ambient levels. Using over 67k frames of belowground observation, we observe that eCO2 leads to relatively faster root production (a peak volume fold change of 4.52 ± 0.44 eCO2 versus 2.58 ± 0.21 control). We identify an increase in existing root elongation relative to root mass decay as the likely causal mechanism for this acceleration. Direct physical analysis of biomass and width measurements from 552 root systems recovered from soil cores support this picture, with lengths and widths of fine roots significantly increasing under eCO2. We use dynamic measurements to estimate fine root contributions to net primary productivity, finding an increase under eCO2, with an estimated mean annual 204 ± 93 g dw m−2yr−1 eCO2 versus 140 ± 60 g dw m−2 yr−1 control. We also quantify and discuss the uncertainties in such productivity measurements. This multi-faceted approach thus sheds quantitative light on the challenging characterisation of the eCO2 response of root biomass in mature temperate forests.

2014 ◽  
Vol 205 (2) ◽  
pp. 731-742 ◽  
Author(s):  
Oscar J. Valverde-Barrantes ◽  
Kurt A. Smemo ◽  
Larry M. Feinstein ◽  
Mark W. Kershner ◽  
Christopher B. Blackwood

Ecology ◽  
2012 ◽  
Author(s):  
Frank S. Gilliam

Given the global distribution of human populations and their coincidence with temperate deciduous forests, it is likely that when most people consider the term “forest,” what comes to mind most frequently is the temperate deciduous forest biome. Although not to the level of their tropical counterparts, temperate deciduous forests typically display high plant biodiversity and rates of net primary productivity. They contrast sharply, however, with tropical forests in the distribution of biodiversity and productivity. In tropical forests, greatest plant diversity is associated with the vegetation of greatest productivity—trees. By contrast, the greatest plant diversity—up to 90 percent—in temperate deciduous forests occurs among the plants of least physical stature: the herbaceous species. Given the close association between these forests and their use by human populations, whether for food, fiber, habitat, or recreation, it is not surprising that they have been well studied, particularly in North America, and thus have a rich literature going back many years. However, for the very reason of that intensive use, temperate deciduous forests have proved to be an ecological moving target, as timber harvesting, air pollution, and introduced pests (e.g., insects and parasites) have represented a chronic assault on the structure and function of these ecosystems.


2006 ◽  
Vol 21 (5) ◽  
pp. 741-753 ◽  
Author(s):  
Takami Satomura ◽  
Yasushi Hashimoto ◽  
Hiroshi Koizumi ◽  
Kaneyuki Nakane ◽  
Takao Horikoshi

2019 ◽  
Author(s):  
Stephanie C. Pennington ◽  
Nate G. McDowell ◽  
J. Patrick Megonigal ◽  
James C. Stegen ◽  
Ben Bond-Lamberty

Abstract. Soil respiration (Rs), the flow of CO2 from the soil surface to the atmosphere, is one of the largest carbon fluxes in the terrestrial biosphere. The spatial variability of Rs is both large and poorly understood, limiting our ability to robustly scale it in time and space. One factor in Rs spatial variability is the autotrophic contribution from plant roots, but it is uncertain how the proximity of plants affects the magnitude and temperature sensitivity of Rs. This study examined the effect of tree proximity on Rs in the growing and dormant seasons, as well as during moisture-limited times, in a temperate, coastal, deciduous forest in eastern Maryland, USA. In a linear mixed-effects model, tree basal area within 5 m (BA5) exerted a significant positive effect on the temperature sensitivity of soil respiration. Soil moisture was the dominant control on Rs during the dry portions of the year while soil moisture, temperature, and BA5 all exerted significant effects on Rs in wetter periods. Our results suggest that autotrophic respiration is more sensitive to temperature than heterotrophic respiration at these sites, although we did not measure these source fluxes directly, and that soil respiration is highly moisture-sensitive, even in a record-rainfall year. The Rs flux magnitudes (0.3–16.6 µmol m−2 s−1) and variability (coefficient of variability 10 %–22 % across plots) observed in this study were comparable to values observed over decades in similar forests. We estimate that four Rs observations were required to be within 50 % of the stand-level mean, and 311 to be within 5 %, at 90 % confidence. A better understanding of the spatial interactions between plants and microbes that results in measured Rs is necessary to link these processes with large scale soil-to-atmosphere C fluxes.


2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Fan Liu ◽  
Chuankuan Wang ◽  
Xingchang Wang

Abstract Background Vegetation indices (VIs) by remote sensing are widely used as simple proxies of the gross primary production (GPP) of vegetation, but their performances in capturing the inter-annual variation (IAV) in GPP remain uncertain. Methods We evaluated the performances of various VIs in tracking the IAV in GPP estimated by eddy covariance in a temperate deciduous forest of Northeast China. The VIs assessed included the normalized difference vegetation index (NDVI), the enhanced vegetation index (EVI), and the near-infrared reflectance of vegetation (NIRv) obtained from tower-radiometers (broadband) and the Moderate Resolution Imaging Spectroradiometer (MODIS), respectively. Results We found that 25%–35% amplitude of the broadband EVI tracked the start of growing season derived by GPP (R2: 0.56–0.60, bias < 4 d), while 45% (or 50%) amplitudes of broadband (or MODIS) NDVI represented the end of growing season estimated by GPP (R2: 0.58–0.67, bias < 3 d). However, all the VIs failed to characterize the summer peaks of GPP. The growing-season integrals but not averaged values of the broadband NDVI, MODIS NIRv and EVI were robust surrogates of the IAV in GPP (R2: 0.40–0.67). Conclusion These findings illustrate that specific VIs are effective only to capture the GPP phenology but not the GPP peak, while the integral VIs have the potential to mirror the IAV in GPP.


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