Results 251 to 260 of about 1,193,273 (333)

Precocious Cone Formation Observed on a Three-Year-Old Giant Sequoia Seedling. [PDF]

Ecol Evol
Moran EV, Huebner D.
europepmc   +1 more source

Microbiome‐mediated chemical communication in insects: Implications for pest management

Pest Management Science, EarlyView.
Microbiome–semiochemical interactions involve the following processes: direct microbial synthesis, host gene regulation, precursor biotransformation, microbiome modulation and indirect ecological signaling. Abstract Insects rely on semiochemicals to regulate aggregation, mating, foraging, and host selection. This review synthesizes evidence that insect‐
Ioannis Eleftherianos, Wei Zhang, Amr Mohamed, Rasha K. Al‐Akeel, Abeer M. Alkhaibari, Nemat Keyhani, Guy Smagghe   +6 more
wiley   +1 more source

Editorial for the <i>Insects</i> Special Issue "Bee Conservation: Behavior, Health and Pollination Ecology". [PDF]

Insects
Prendergast KS.
europepmc   +1 more source

Strategies for Assessing Post‐Wildfire Geomorphic Resilience in Semiarid Rivers

River Research and Applications, EarlyView.
ABSTRACT We review and summarize diverse components of a catchment that can be monitored after wildfire to assess the geomorphic resilience of the river corridor in semiarid regions. We distinguish upland portions of river catchments from river corridors.
Ellen Wohl, Shayla Triantafillou, Alex Thornton‐Dunwoody, Connor Mertz, Katie Larkin, William Keenan, Steven Griffin, Dylan Davis, Lindsey Blehm   +8 more
wiley   +1 more source

Plant form and height across environmental gradients: a developmental perspective on plant intraspecific variability. [PDF]

Ann Bot
Chiminazzo MA, Charles-Dominique T, Fidelis A, Bombo AB, Jones CS, Diggle PK.   +5 more
europepmc   +1 more source

Forensic Hydraulic Analysis of Floodplain Connectivity Driven by Historical Beaver Dams in Colorado Headwater Streams

River Research and Applications, EarlyView.
ABSTRACT As ecosystem engineers, beavers (Castor canadensis) modify river corridor form through dam building. When beavers are removed from a river corridor, their unmaintained dams wash out, altering the stream's hydrologic regime. The assumption that beaver dams increase floodplain connectivity is frequently presumed but has not been directly ...
Kayla Schultz, Ryan R. Morrison, Sara Rathburn, Connor Mertz, Nicholas Christensen   +4 more
wiley   +1 more source

Predicting future forest fire occurrence probability based on drought characteristics at various temporal scales in P. R. China. [PDF]

PLoS One
Shao X, Li C, Chang Y, Xiong Z, Chen H, Li R.   +5 more
europepmc   +1 more source

Wall‐to‐wall Amazon forest height mapping with Planet NICFI, Aerial LiDAR, and a U‐Net regression model

Remote Sensing in Ecology and Conservation, EarlyView.
Tree canopy height is a key indicator of forest biomass and structure, yet accurate mapping across the Amazon remains challenging. Here, we generated a canopy height map of the Amazon forest at ~4.8 m resolution using Planet NICFI imagery and a deep learning U‐Net model trained with airborne LiDAR data.
Fabien H. Wagner, Ricardo Dalagnol, Griffin Carter, Mayumi C. M. Hirye, Shivraj Gill, Le Bienfaiteur Sagang Takougoum, Samuel Favrichon, Michael Keller, Jean P. H. B. Ometto, Lorena Alves, Cynthia Creze, Stephanie P. George‐Chacon, Shuang Li, Zhihua Liu, Adugna Mullissa, Yan Yang, Erone G. Santos, Sarah R. Worden, Martin Brandt, Philippe Ciais, Stephen C. Hagen, Sassan Saatchi   +21 more
wiley   +1 more source

Resource availability and human activity shape the landscape distribution of white rhinoceros, a highly threatened African megaherbivore. [PDF]

Oecologia
Staegemann ESM, Kuiper T, Druce DJ, Kerley GIH, Mbongwa S, Cromsigt JPGM.   +5 more
europepmc   +1 more source

Improving forest age estimation to understand subtropical forest regrowth dynamics using deep learning image segmentation of time‐series historical aerial photographs

Remote Sensing in Ecology and Conservation, EarlyView.
Accurately estimating forest age is key to understanding how forests recover and evaluating restoration success. We developed a two‐step deep learning approach using historical greyscale aerial photographs to map forest age at fine spatial scales. By combining a pre‐trained model with localized fine‐tuning, our U‐Net + ResNet50 architecture achieved ...
Ying Ki Law, Yi‐Fei Gu, Shuwen Liu, Guangqin Song, Aland H. Y. Chan, Cham Man Tse, Zhonghua Liu, Martha J. Ledger, Billy C. H. Hau, Sawaid Abbas, Jin Wu   +10 more
wiley   +1 more source