Results 211 to 220 of about 4,621 (266)

Machine learning models for crude protein prediction in Tamani grass pastures. [PDF]

Sci Rep
Oliveira de Aquino Monteiro G, Dos Santos Difante G, Baptaglin Montagner D, Pacheco Batista Euclides V, Castro M, Gomes Rodrigues J, de Gusmão Pereira M, Santana JCS, Vinhas Itavo LC, Nantes RT, Campos JA, Bessa da Costa A, Takashi Matsubara E.   +12 more
europepmc   +1 more source

Reply to "No pervasive relationship between phyllosphere nitrifier abundance and canopy nitrification in European forests". [PDF]

Natl Sci Rev
Guerrieri R, Cáliz J, Mattana S, Barceló A, Elustondo D, Hellsten S, Lindroos AJ, Matteucci G, Merilä P, Nicolas M, Thimonier A, Turroni S, Vanguelova E, Verstraeten A, Waldner P, Watanabe M, Casamayor EO, Peñuelas J, Mencuccini M.   +18 more
europepmc   +1 more source

Far-red light in early growth stages boosts lettuce biomass and preserves anthocyanins. [PDF]

Ann Bot
Levine CP, Tanigawa K, Wakabayashi Y, Guo W, Qu Y, Terashima I, Yamori W.   +6 more
europepmc   +1 more source

Above-canopy versus below-canopy nitrogen addition affects nitrate leaching and mineralization but not greenhouse gas fluxes in a sessile oak stand. [PDF]

Sci Rep
Da Ros L, Anna B, Pietro P, Mirco R, Roberto T, Claudio M, Flavio F, Giustino T, Maurizio V.   +8 more
europepmc   +1 more source

Training systems affect spatial distribution of Korla fragrant pear (<i>Pyrus sinkiangensis</i> Yu) fruits by altering canopy structure and light distribution. [PDF]

Front Plant Sci
Yan P, Deng Y, An SJ, Ma L, Li T, Chen QL, Zheng Q.   +6 more
europepmc   +1 more source

Regulation of Transpiration and Whole‐Tree Crown Conductance in Tropical Forests

Plant, Cell &Environment, EarlyView.
Mizanur Rahman, Alfonso Zambrano, Alistair Rogers, Shawn P. Serbin, Kim S. Ely, Kenneth J. Davidson, Jean‐Christophe Domec, Julien Lamour, Sean T. Michaletz, Brett T. Wolfe, Alexandria L. Pivovaroff, Matteo Detto, Gustavo C. Spanner, Jin Wu, Stuart J. Davies, Jeffrey M. Warren, Joseph Wright, Chonggang Xu, Zachary Robbins, Robinson Negron‐Juarez, Ryan G. Knox, Cynthia Wright, Jeffrey Q. Chambers, Charles D. Koven, Nate G. McDowell   +24 more
wiley   +1 more source

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Rainfall Interception by a Forest Canopy

Oikos, 1968
It was found that the phenomenon of rainfall interception by a forest stand can be expressed by Mitscherlich equation (3). Using the data observed in a deciduous stand in Bialowieza (Poland) they have approximately determined the values of the coefficients of this equation (3 a). Consequently they expressed the amount of the rainfall inside the forest (
Maciej S. Czarnowski, Jerzy L. Olszewski
openaire   +1 more source

Global canopy interception from satellite observations

Journal of Geophysical Research: Atmospheres, 2010
A new methodology for estimating forest rainfall interception from multisatellite observations is presented. The Climate Prediction Center morphing technique (CMORPH) precipitation product is used as driving data and is applied to Gash's analytical model to derive daily interception rates at global scale. Results compare well with field observations of
Miralles, DG, Gash, JH, Holmes, TRH, de Jeu, RAM, Dolman, AJ   +4 more
openaire   +4 more sources

Quantification of Canopy Interception and Cloud Interception in the Elevated Forests of Norfolk Island

2023
The higher elevation forests of Norfolk Island are regularly immersed in the clouds and scientific and anecdotal evidence suggests that in addition to rainfall, water is likely to be collected as cloud droplets are intercepted by the forest canopy.
David McJannet, Jordan Marano, Cuan Petheram, Neil Tavener, Derek Greenwood   +4 more
openaire   +1 more source

Rainfall Interception Loss by Forest Canopies

2011
When rain falls onto a forest a proportion is intercepted by the canopy and evaporates back into the atmosphere, playing no further part in the terrestrial portion of the hydrologic cycle. This canopy interception loss, I c, can be appreciable (Table 20.1).
Darryl E. Carlyle-Moses, John H. C. Gash
openaire   +1 more source