Aboveground and belowground contributions to ecosystem respiration in a temperate deciduous forest

2022 ◽  
Vol 314 ◽  
pp. 108807
Author(s):  
Xiuping Liu ◽  
Wenxu Dong ◽  
Jeffrey D. Wood ◽  
Yuying Wang ◽  
Xiaoxin Li ◽  
...  
Keyword(s):  
Deciduous Forest ◽  
Ecosystem Respiration ◽  
Temperate Deciduous Forest ◽  
Temperate Deciduous

scholarly journals Observations of 14 CO2 in ecosystem respiration from a temperate deciduous forest in Northern Wisconsin

2015 ◽  
Vol 120 (4) ◽  
pp. 600-616 ◽  
Author(s):  
Claire L. Phillips ◽  
Karis J. McFarlane ◽  
Brian LaFranchi ◽  
Ankur R. Desai ◽  
John B. Miller ◽  
...  
Keyword(s):  
Deciduous Forest ◽  
Ecosystem Respiration ◽  
Temperate Deciduous Forest ◽  
Temperate Deciduous

scholarly journals Can vegetation index track the interannual variation in gross primary production of temperate deciduous forests?

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Fan Liu ◽  
Chuankuan Wang ◽  
Xingchang Wang
Keyword(s):  
Primary Production ◽  
Vegetation Index ◽  
Near Infrared ◽  
Deciduous Forest ◽  
Gross Primary Production ◽  
Growing Season ◽  
Temperate Deciduous Forest ◽  
Near Infrared Reflectance ◽  
Modis Ndvi ◽  
Temperate Deciduous

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.

Storm damage and long-term mortality in a semi-natural, temperate deciduous forest

2004 ◽  
Vol 188 (1-3) ◽  
pp. 197-210 ◽  
Author(s):  
Annett Wolf ◽  
Peter Friis Møller ◽  
Richard H.W. Bradshaw ◽  
Jaris Bigler
Keyword(s):  
Deciduous Forest ◽  
Storm Damage ◽  
Temperate Deciduous Forest ◽  
Temperate Deciduous ◽  
Long Term Mortality
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