Results 131 to 140 of about 266,369 (263)

Shaping future forests: how can ecophysiology support climate-smart forest management? [PDF]

New Phytol
Gessler A, Grünzweig JM, Bigio L, Hartmann H, McDowell N, Krumm F, Bose AK, Rigling A, Bugmann H, Vitali V, Schneider P, Lever JJ, Schweier J, Kempel A, Zimmermann NE, Brun P, Bauhus J, Wilhelm M, Bottero A.   +18 more
europepmc   +1 more source

Forest Management [PDF]

Nature, 1953
openaire   +1 more source

Precision Lignocellulosic Biorefinery: Process Regulation From Corn Stover to Products

Advanced Science, EarlyView.
This study presents a precision biorefinery framework that transforms corn stover into high‐value bioproducts through whole‐process regulation. Mechanical fractionation separates feedstock into parenchyma‐rich short fibers and vascular‐bundle‐dominant long fibers.
Xue‐Cheng Lin, Lan Wang, Tai‐Ran Pang, Ming‐Yuan Yin, Hong‐Zhang Chen   +4 more
wiley   +1 more source

Response of Global Forest Management to Changes in Wood Demand. [PDF]

Glob Chang Biol
Arendarczyk B, Rabin S, Bampoh D, Arneth A, Rounsevell M, Alexander P.   +5 more
europepmc   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Long-term intensive forest management ultimately leads to imbalances in soil nutrient and extracellular enzyme stoichiometry. [PDF]

iScience
Huang C, Yao L, Mou L, Ma Y, Fu S, Haiderd FU, Liu H, Li X.   +7 more
europepmc   +1 more source

Decoupling Intrinsic Molecular Efficacy From Platform Effects: An Interpretable Machine Learning Framework for Unbiased Perovskite Passivator Discovery

Advanced Science, EarlyView.
This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang, Ziyuan Li, Shan Gao, Zhen Zhu, Jing Wang, Xiangmei Duan   +5 more
wiley   +1 more source

The role of forestland size on rural household's forest management efficiency. [PDF]

Sci Rep
Huang L, Li L, Luo X.
europepmc   +1 more source

Bionic Solar‐Powered Heavy Metal Trap for Eco‐Friendly Sludge Drying and Simultaneous Electricity Generation

Advanced Science, EarlyView.
Herein, we propose a solar‐powered heavy metal trap (SPHT) for sludge disposal. The indoor experiments demonstrated that the sludge water content decreased from 90 % to 31 %, coupled with a decrease in heavy metal content to 6 % at most. Furthermore, the designed SPHT generated an initial potential of 0.10 V, and monitoring this hydrovoltaic potential ...
Yanlin Li, Jinglan Wang, Hailin Gu, Zhen Yu, Fawei Lin, Cunku Dong, Ningning Cao, Miao Yu   +7 more
wiley   +1 more source

FOREST MANAGEMENT

The Forestry Chronicle, 1949
openaire   +1 more source