Results 81 to 90 of about 161,035 (296)

Seasonal Sap Flow Dynamics in Larix sibirica Trees Growing in the Krasnoyarsk Forest-Steppe [PDF]

Журнал Сибирского федерального университета: Серия Биология, 2018
Seasonal dynamics of sap flow in the stems of two Siberian larch trees (Larix sibirica Ledeb.) with different radial growth rates were analyzed. The trees grew nearby Pogorelsky Bor research station of Institute of Forest, SB RAS (Krasnoyarsk forest ...
Anna V. Benkova, Alexey V. Rubtsov, Vera E. Benkova, Alexander V. Shashkin   +3 more
doaj  

Multi-decadal trends in global terrestrial evapotranspiration and its components [PDF]

, 2016
Evapotranspiration (ET) is the process by which liquid water becomes water vapor and energetically this accounts for much of incoming solar radiation. If this ET did not occur temperatures would be higher, so understanding ET trends is crucial to predict
Chiew, Francis HS, Liu, Changming, Liu, Yi Y, Lu, Xingjie, McVicar, Tim R, Miralles, Diego, Pang, Ming, Peña-Arancibia, Jorge L, Vaze, Jai, Wang, Yingping, Zhang, Yongqiang, Zheng, Hongxing   +11 more
core   +1 more source

A goodness‐of‐fit test for regression models with discrete outcomes

Canadian Journal of Statistics, EarlyView.
Abstract Regression models are often used to analyze discrete outcomes, but classical goodness‐of‐fit tests such as those based on the deviance or Pearson's statistic can be misleading or have little power in this context. To address this issue, we propose a new test, inspired by the work of Czado et al.
Lu Yang, Christian Genest, Johanna G. Nešlehová   +2 more
wiley   +1 more source

FUNCTION OF HYDRAULIC AND CHEMICAL WATER STRESS SIGNALIZATION IN EVALUATION OF DROUGHT RESISTANCE OF JUVENILE PLANTS [PDF]

Journal of Central European Agriculture, 2002
In laboratory hydroponic experiments with spring barley genotypes the juvenile plants with 5 leaves were tested for their physiological responses to osmotic stress evoked by blocking the water uptake in roots by polyethylenglycol (PEG-6000) and to ...
K OLŠOVSKÁ, M BRESTIČ
doaj  

Integrating effects of species composition and soil properties to predict shifts in montane forest carbon-water relations. [PDF]

, 2018
This study was designed to address a major source of uncertainty pertaining to coupled carbon-water cycles in montane forest ecosystems. The Sierra Nevada of California was used as a model system to investigate connections between the physiological ...
Horwath, William R, Maxwell, Toby M, Silva, Lucas CR   +2 more
core   +1 more source

High atmospheric pressure rescues plant growth under humidity stress: A model for climate‐resilient deep underground agriculture

Deep Underground Science and Engineering, EarlyView.
High atmospheric pressure (120 kPa) in deep underground counteracts humidity‐induced physiological stress in plants, stabilizing water balance and enhancing antioxidative defenses. This synergy boosts biomass despite elevated humidity, demonstrating sustainable deep underground agriculture potential under climate uncertainty.
Yuxin He, Linglu Xu, Xiao Tan, Wenhua Zhuang, Naiwen Li, Chao Liu, Bo Tan   +6 more
wiley   +1 more source

Sustainable Irrigation Management of Ornamental Cordyline Fruticosa “Red Edge” Plants with Saline Water [PDF]

, 2019
The aim of this work was to analyze the influence of the salinity of the nutrient solution on the transpiration and growth of Cordyline fruticosa var. “Red Edge” plants. A specific irrigation management model was calibrated with the experimental data. An
Al-Hamdani, Allen, Ayers, Blanca M. Plaza, Doorenbos, Fernández, Francisco Alex, Hossain, Juan Martínez, Juan Reca, Klepper, Lao, Li, Lieth, Maas, Maria Teresa Lao, Plaza, Steduto, Tanji   +18 more
core   +2 more sources

An Ultra‐Low‐Power and High‐Temperature‐Homogeneity Wafer‐Scale Infrared Source

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A wafer‐scale MEMS infrared source with an Al@nanoforest radiation layer achieves high emissivity and temperature homogeneity at low power, enabling efficient CO2 detection for smart agriculture. Non‐dispersive infrared gas sensors, renowned for their high selectivity and high reliability, are extensively employed in applications of smart agriculture ...
Qirui Zhang, Shuxin Chen, Meng Shi, Xin Liu, Hanhui Li, Ruitao Tao, Yu Liu, Na Zhou, Wenwu Li, Haiyang Mao   +9 more
wiley   +1 more source

Illuminating hydrological processes at the soil-vegetation-atmosphere interface with water stable isotopes [PDF]

, 2016
Funded by DFG research project “From Catchments as Organised Systems to Models based on Functional Units” (FOR 1Peer reviewedPublisher PDFPublisher ...
Adomako, Ali, Allen, Allen, Allison, Allison, Allison, Ambach, Anderson, Araguás-Araguás, Asano, Asbjornsen, Bachmann, Barbeta, Bariac, Barnes, Bayala, Bengtsson, Berman, Berry, Bertrand, Beven, Beyer, Beyer, Bijoor, Birkel, Birkel, Blume, Botter, Boutton, Bowen, Bowen, Bowen, Brandes, Braud, Brinkmann, Brodersen, Brooks, Brooks, Brooks, Brooks, Burger, Cheng, Clark, Comas-Bru, Coplen, Craig, Craig, Craig, Cui, Cui, Cui, Dai, Dansgaard, Darling, David, Dawson, Dawson, DeWalle, DeWalle, DeWalle, Dincer, Dubbert, Dubbert, Dubbert, Dutton, Eggemeyer, Ehleringer, Ehleringer, Eichler, Ellsworth, Ellsworth, Emerman, Evaristo, Fairburn, Ferretti, Fujimoto, Gaj, Gangi, Garvelmann, Gat, Gat, Gazis, Gehrels, Geris, Gibson, Goldsmith, Gonfiantini, Gonfiantini, Gonfiantini, Good, Gralher, Hannes Leistert, Hao, Hargreaves, Herbstritt, Holland, Hopmans, Horita, Horton, Hrachowitz, Hsieh, Hu, Huang, Hursh, Ikawa, Ingraham, Jackson, Jasechko, Jia, Kabeya, Kabeya, Katharina Gimbel, Kelln, Kendall, Kendall, Kendall, Kim, Klaus, Klaus, Kline, Koeniger, Koeniger, Koeniger, Koeniger, Komor, Kool, Kudo, Kulmatiski, Kulmatiski, Kurz-Besson, Lai, Landon, Landon, Landwehr, Landwehr, Le Roux, Leaney, Lee, Lee, Leibundgut, Leng, Leopoldo, Lin, Lindström, Liu, Liu, Liu, Liu, Lutz, M., Majoube, Mali, Mali, Maloszewski, Markus Weiler, Mathieu, Matthias Sprenger, McCole, McDonnell, McDonnell, McDonnell, McDonnell, McDonnell, McGuire, McGuire, McGuire, McGuire, McGuire, McMillan, Meinzer, Meinzer, Meißner, Mensforth, Moore, Moreira, Mueller, Murad, Murad, Muñoz-Villers, Münnich, Münnich, O'Driscoll, Oerter, Ogle, Ogle, Ohte, Orlowski, Orlowski, Orlowski, Orlowski, Oshun, Palacio, Pangle, Pangle, Parnell, Penman, Penman, Penna, Peralta-Tapia, Phillips, Pionke, Revesz, Richards, Rinaldo, Robertson, Rodhe, Rong, Rose, Rossatto, Rossatto, Rothfuss, Rothfuss, Rozanski, Sami, Saxena, Schlaepfer, Scholl, Schwendenmann, Seiler, Simonin, Simpson, Singleton, Snyder, Soderberg, Song, Song, Soulsby, Sprenger, Sprenger, Sprenger, Sprenger, Stanhill, Stewart, Stumpp, Stumpp, Stumpp, Stumpp, Stumpp, Stumpp, Stumpp, Sun, Sutanto, Swaffer, Tang, Tetzlaff, Thomas, Timbe, Timbe, Treydte, Twining, Vanderborght, Vereecken, Vitvar, Vogel, Volkmann, Volkmann, Volkmann, Wang, Wang, Wang, Wang, Wassenaar, Wei, Welker, Wenner, Wenninger, Wershaw, Wessolek, West, West, White, White, Williams, Windhorst, Windhorst, Xu, Yeh, Zhang, Zhang, Zhang, Zhou, Zhou, Zhou, Zhu, Zimmermann, Zimmermann, Zimmermann   +287 more
core   +1 more source

Machine Learning‐Driven Classification and Production Capacity Prediction of Tight Sandstone Reservoirs: A Case Study of the Taiyuan Formation, Ordos Basin

Energy Science &Engineering, EarlyView.
On the basis of core and log data, a Bayesian‐Optimized Random Forest model achieved 92.76% accuracy in classifying tight sandstone reservoirs. A gray relational analysis‐derived evaluation index shows > 80% consistency with actual gas zones. ABSTRACT Tight sandstone gas (TSG), an unconventional oil–gas resource, has heterogeneous reservoirs ...
Yin Yuan, Haijiao Fu, Detian Yan, Gang Wang, Shuguang Yang, Mengmeng Liu, Qingling Jiang, Xiaoming Wang, Wei Wang   +8 more
wiley   +1 more source