Results 151 to 160 of about 78,008 (309)
DENDROINDICATION PINUS SYLVESTRIS IN THE CITY OF CHITA CONDITIONS
, 2018 И. Л. Вахнина +2 more
openalex +1 more source
Modification and Comparison of Methods for Predicting the Moisture Content of Dead Fuel on the Surface of Quercus mongolica and Pinus sylvestris var. mongolica under Rainfall Conditions [PDF]
, 2023 Tongxin Hu +4 more
openalex +1 more source
Forest Pathology, Volume 56, Issue 1, February 2026.ABSTRACT Brown spot needle blight (BSNB), caused by the fungus Lecanosticta acicola, is a widely distributed foliar disease of pines that causes needle necrosis, premature defoliation, and growth loss in both natural forests and commercial plantations. Although L.
Gabriel Silva +13 more
wiley +1 more source
Wahrnehmung von Wirtsdüften durch Forstschädlinge : Vergleich zwischen einem Holzbrüter und einem Rindenbrüter [PDF]
, 2008 The blue pine wood borer (Phaenops cyanea) and the black pine sawyer beetle (Monochamus galloprovincialis) (Fig. 1) both are pests of the white pine (Pinus silvestris) and other Pinus species.
Apel, Karl-Heinz +3 more
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An orally active immune adjuvant prepared from cones of Pinus sylvestris, enhances the proliferative phase of a primary T cell response [PDF]
, 2014 W G Bradley +2 more
openalex +1 more source
Differential Infection and Colonisation of Needle Age Classes by Cronartium ribicola
Forest Pathology, Volume 56, Issue 1, February 2026.ABSTRACT White pine blister rust (WPBR) is a disease on North American five‐needle white pine trees caused by the non‐native fungal pathogen Cronartium ribicola that is causing widespread decline and mortality of Pinus flexilis (limber pine) in high elevation western forests.
Ashley E. Miller +4 more
wiley +1 more source
Ecology and Evolution, Volume 16, Issue 1, January 2026.Our study includes novel components, focusing on plant‐animal interaction data as study case. We provide comprehensive guidelines and a proven methodology, aligned with existing camera trap standards, for the creation of reliable datasets, as well as a detailed discussion of limitations and logistic challenges. Beyond presenting AI performance metrics,
Pablo Villalva, Pedro Jordano
wiley +1 more source
Ecology and Evolution, Volume 16, Issue 1, January 2026.We compared stand productivity and its key drivers across pure and mixed Chinese fir (Cunninghamia lanceolata) forests in subtropical China. Stand density, dominant diameter, stand age, Gini coefficient, and mean tree height were the main factors affecting productivity, with pure stands showing significantly higher productivity but also greater climate
Yang Guo +4 more
wiley +1 more source
(Uploaded by Plazi from the Biodiversity Heritage Library) No abstract provided.
openaire +1 more source
Ecology and Evolution, Volume 16, Issue 1, January 2026.Using extensive bird monitoring data from Czechia and detailed forest and species trait information, this study found strong interactions between bird traits—especially migration distance and habitat specialization—and forest characteristics. These findings highlight the need for targeted forest management strategies, such as coppicing or old‐growth ...
Filip Szarvas +5 more
wiley +1 more source