Results 131 to 140 of about 17,343 (243)

Fine-scale predictive modeling of Aedes mosquito abundance and dengue risk indicators using machine learning algorithms with microclimatic variables. [PDF]

Sci Rep
Dom NC, Abdullah NAMH, Dapari R, Salleh SA.   +3 more
europepmc   +1 more source

Quantifying microhabitat selection of snowshoe hares using forest metrics from UAS‐based LiDAR

Wildlife Biology, EarlyView.
Identifying the spatial and temporal scale at which animals select resources is critical for predicting how populations respond to changes in the environment. The spatial distribution of fine‐scale resources (e.g. patches of dense vegetation) are often linked with critical life‐history requirements such as denning and feeding sites.
Alexej P. K. Sirén, Franklin Sullivan, Rachel Cliché, Jeremy Goetz, Leighlan S. Prout, Jillian Kilborn, Katelyn Courtot, Michael Palace   +7 more
wiley   +1 more source

East Amazon forest understory temperatures reached a record high in 2023-2024. [PDF]

Sci Rep
Hes G, Badouard V, Burban B, Cazal J, Courtois EA, Derroire G, Francoise L, Goret JY, Mirabel A, Naisso P, Ogée J, Proux L, Schloesing E, Schmitt S, Sellan G, Stahl C, Chave J.   +16 more
europepmc   +1 more source

From low to high elevations, flowers adapt traits and phenology to climate, but phenology‐trait relationships weak

Functional Ecology, EarlyView.
Read the free Plain Language Summary for this article on the Journal blog. Abstract Flowering phenology is central to plant reproductive success and can relate to morphological traits such as size and quality of flowers, but phenology–trait associations of flowers remain unclear.
Mustaqeem Ahmad, Sonia Rathee, Meghna Krishnadas   +2 more
wiley   +1 more source

Scaling from microsite to landscape to resolve litter decomposition dynamics in globally extensive drylands

Functional Ecology, EarlyView.
Read the free Plain Language Summary for this article on the Journal blog. Abstract Decomposition is the transformation of dead organic matter into its inorganic constituents. In most biomes, decomposition rates can be accurately predicted with simple mathematical models, but these models have long under‐predicted decomposition in globally extensive ...
Heather L. Throop, Jiwei Li, Daryl L. Moorhead, Sasha C. Reed, Katherine E. O. Todd‐Brown, Alexi C. Besser, Dellena Evelyn Bloom, Thomas C. Ingalls, Alejandro Cueva   +8 more
wiley   +1 more source

Microclimate refugia shape microclimatic niches and predict individual variability in post-breeding migration in a partially migratory species. [PDF]

J Anim Ecol
Ramos RF, Zalewska K, Gilroy JJ, Silva JP, Franco AMA.   +4 more
europepmc   +1 more source

Below the leaves: Integrating above‐ and below‐ground phenology for earth‐system predictability

Functional Ecology, EarlyView.
Read the free Plain Language Summary for this article on the Journal blog. Abstract Almost every aspect of biological systems has phenology—a pattern in activity or function linked to annual cycles. Most terrestrial phenology research focusses on leaves, the onset of leaf out or senescence.
Kendalynn Morris, Richard Nair
wiley   +1 more source

Spatiotemporal patterns of urban heat in indoor and outdoor microclimates. [PDF]

Environ Res Lett
Jamal Y, Murdock CC, Baharia RK, Sharma R, Vaishnav K, Desai V, Kohli V, Mohanty AK, Pascual M, Sharma S, Anvikar A, Wimberly MC.   +11 more
europepmc   +1 more source

Soil and microbial responses to wild ungulate trampling depend more on ecosystem type than trampling severity

Functional Ecology, EarlyView.
Read the free Plain Language Summary for this article on the Journal blog. Abstract Physical trampling is a ubiquitous activity of walking vertebrates, but is poorly understood as a mechanism impacting biogeochemical cycling in soil. Lack of detailed knowledge of soil abiotic–biotic interactions underlying trampling effects, and the primary sources of ...
G. Adam Meyer, Shawn J. Leroux, Kathryn E. Hargan, Niels van Miltenburg   +3 more
wiley   +1 more source

Narrow thresholds of canopy disturbance determine the microclimate buffering potential of tropical forests. [PDF]

iScience
Boyle MJW, Williamson J, Rossiter SJ, Pfeifer M, Drinkwater R, Woon JS, Ashton LA, van Breugel M, Eggleton P, Evans TA, Lewis OT, Sethi SS, Slade EM, Chung AYC, Ewers RM.   +14 more
europepmc   +1 more source