Results 261 to 270 of about 232,366 (358)
Impact of Canopy Openness on Forest Regeneration and Forest Soil Nutrients. [PDF]
Ojha P, Kandel R.
europepmc +1 more source
We combined arboreal camera trapping and non‐invasive genetic tagging to estimate group size in the critically endangered northern muriqui (Brachyteles hypoxanthus) in Brazil's Atlantic Forest. Both methods provided complementary insights into group size and demographic structure, while differing in their cost‐effectiveness and sampling constraints ...
Mariane C. Kaizer +7 more
wiley +1 more source
Anthropogenic Disturbances and Invasion of <i>Mikania micrantha</i> Threaten <i>Rauvolfia serpentina</i> Populations in Nepal. [PDF]
Neupane A, Jnawali B, Ghimire SK.
europepmc +1 more source
Stunted canopy: Marine forests under the thermal effluent of a nuclear power plant [PDF]
Ivan Monclaro Carneiro +3 more
openalex +1 more source
Robotics‐assisted acoustic surveys could deliver reliable, landscape‐level biodiversity insights
Deploying and maintaining sensors is often a major bottleneck in collecting rapid biodiversity data. We tested whether autonomous hopping drones equipped with acoustic recorders could collect reliable biodiversity data in Costa Rica. Using 26,000+ hours of existing audio from 341 sites, with machine learning detections of 19 bird species and spider ...
Peggy A. Bevan +5 more
wiley +1 more source
Specialized Feeding Behavior of an Endangered Primate Enhances Forest Health in China. [PDF]
Li N +6 more
europepmc +1 more source
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 +21 more
wiley +1 more source
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 +10 more
wiley +1 more source
Vertical Stratification Drives Divergent Spatial Trade-Offs Among Xylem Cell Types in Angiosperm Trees of a Mountain Forest in Eastern China. [PDF]
Yang Q +6 more
europepmc +1 more source
Rapid assessment of forest canopy and light regime using smartphone hemispherical photography. [PDF]
Bianchi S +3 more
europepmc +1 more source

