Journal: Forest Ecology And Management, Volume 376: 135-147 (2016), ISBN . DOI: 10.1016/j.foreco.2016.06.001 Sites: US-UMB, US-UMd
Journal: Ecosphere, Volume 7 (6): (2016), ISBN . DOI: 10.1002/ecs2.1375 Sites: US-UMB, US-UMd
Journal: Forest Ecology And Management, Volume 361: 38-45 (2016), ISBN . DOI: 10.1016/j.foreco.2015.11.001 Sites: US-UMB, US-UMd
Journal: Nature Climate Change, Volume 6 (11): 1023-1027 (2016), ISBN . DOI: 10.1038/nclimate3114 Sites: US-ARM, US-Bar, US-Blk, US-Blo, US-Bo1, US-Br3, US-Dk1, US-Dk2, US-Dk3, US-Fmf, US-FR2, US-Fuf, US-GLE, US-IB1, US-IB2, US-KFS, US-Kon, US-KS2, US-Me1, US-Me2, US-MMS, US-MOz, US-MRf, US-Ne1, US-Ne3, US-NR1, US-Oho, US-SRG, US-SRM, US-Syv, US-Ton, US-UMB, US-Var, US-WBW, US-WCr, US-Whs, US-Wkg
Surface roughness parameters, namely the roughness length and displacement height, are an integral input used to model surface fluxes. However, most models assume these parameters to be a fixed property of plant functional type and disregard the governing structural heterogeneity and dynamics. In this study, we use large-eddy simulations …
Journal: Biogeosciences, Volume 12: 2533-2548 (2015), ISBN . DOI: 10.5194/bg-12-2533-2015 Sites: US-UMB
Disturbance-induced tree mortality is a key factor regulating the carbon balance of a forest, but tree mortality and its subsequent effects are poorly represented processes in terrestrial ecosystem models. It is thus unclear whether models can robustly simulate moderate (non-catastrophic) disturbances, which tend to increase biological …
Journal: Biogeosciences, Volume 12: 513-526 (2015), ISBN . DOI: 10.5194/bg-12-513-2015 Sites: US-UMB
Although it may be difficult for us to observe in our short lifetimes, the composition of trees in a forest can be a very variable thing. When a forest is clear-cut or thinned by fire, the first trees to rebound are often the fastest growing—those that can sprout quicker than their competitors. However, over time, these speedy …
Journal: EOS, Volume 96: 1-1 (2015), ISBN . DOI: 10.1029/2015EO026455 Sites: US-UMB
It is necessary to partition eddy covariance measurements of carbon dioxide exchange into its offsetting gross fluxes, canopy photosynthesis, and ecosystem respiration, to understand the biophysical controls on the net fluxes. And independent estimates of canopy photosynthesis (G) and ecosystem respiration (R) are needed to validate …
Journal: Agricultural and Forest Meteorology, Volume 207: 117-126 (2015), ISBN . DOI: 10.1016/j.agrformet.2015.03.010 Sites: CA-Ca1, CA-Ca2, CA-Ca3, CA-Let, CA-Mer, CA-NS1, CA-NS3, CA-NS5, CA-NS6, CA-NS7, CA-Oas, CA-Obs, CA-Ojp, CA-Qcu, CA-Qfo, CA-SJ2, CA-SJ3, CA-TP4, CA-WP1, US-ARM, US-Aud, US-Bo1, US-Ho1, US-Ho2, US-IB2, US-KS2, US-MMS, US-MOz, US-NC2, US-NR1, US-SO2, US-SO3, US-SO4, US-SP2, US-SP3, US-SRM, US-Ton, US-Tw3, US-UMB, US-Var, US-WBW, US-Wkg, US-Wrc
Phenology is experiencing dramatic changes over deciduous forests in the USA. Estimates of trends in phenology on the continental scale are uncertain, however, with studies failing to agree on both the magnitude and spatial distribution of trends in spring and autumn. This is due to
the sparsity of in situ records, …
Journal: Biogeosciences, Volume 12 (15): 4693-4709 (2015), ISBN . DOI: 10.5194/bg-12-4693-2015 Sites: US-Ha1, US-MMS, US-MOz, US-UMB
The proliferation of digital cameras co‐located with eddy covariance instrumentation provides new opportunities to better understand the relationship between canopy phenology and the seasonality of canopy photosynthesis. In this paper we analyze the abilities and limitations of canopy color metrics measured by digital repeat photography …
Journal: Ecological Applications, Volume 25 (1): 99-115 (2015), ISBN . DOI: http://doi.org/10.1890/14-0005.1 Sites: US-ARM, US-Bar, US-Ha1, US-Ho1, US-MMS, US-MOz, US-NR1, US-UMB, US-UMd, US-Var, US-Wrc