Results 191 to 200 of about 328,369 (286)

Northern migration patterns and winter habitat use of hooded cranes (Grus monacha) in Suncheon Bay, South Korea. [PDF]

BMC Ecol Evol
Jeong YH, Jung SM, Kunwar B, Cho D, Kang T, Park SM, Choi SH, Hwang SM, Oh HS.   +8 more
europepmc   +1 more source

DuckNet: an open‐source deep learning tool for waterfowl species identification in UAV imagery

Remote Sensing in Ecology and Conservation, EarlyView.
Using drones with thermal‐RGB sensors and a deep learning model (RetinaNet with ResNet‐50), we surveyed non‐breeding waterfowl across restored wetlands in the Mississippi Alluvial Valley. Our model, DuckNet, achieved high accuracy and offers an open‐source, customizable tool for automated waterfowl detection to support conservation monitoring ...
Zack Loken, Kevin M. Ringelman, Anne Mini, J. Dale James, Mike Mitchell   +4 more
wiley   +1 more source

Habitat Features Influencing Waterbird Use of Managed Wetlands Enrolled in a Public-Private Partnership for Land Conservation: The California Waterfowl Habitat Program. [PDF]

Ecol Evol
Hartman CA, Ackerman JT, Peterson SH, Fettig BL, Herzog MP.   +4 more
europepmc   +1 more source

Covariates influence optimal camera‐trap survey design for occupancy modelling

Remote Sensing in Ecology and Conservation, EarlyView.
We investigated the impact of covariates (e.g., habitat quality, temperature) on the optimal design of camera trap surveys to estimate species occupancy. Using simulations of a virtual species, we found that increasing the number of cameras consistently reduced error across a range of covariate effects.
Owain Barton, Brian D. Gerber, Line S. Cordes, John R. Healey, Graeme Shannon   +4 more
wiley   +1 more source

Wetland degradation promotes soil P fraction transformation by altering P-cycling functional genes and metabolic pathways. [PDF]

Front Microbiol
Jiang Y, Zou Y, Sun M, Zhu W, Xu W.
europepmc   +1 more source

UAVs unveil the role of small scale vegetation structure on wader nest survival

Remote Sensing in Ecology and Conservation, EarlyView.
In this study, we combine high‐resolution vegetation structural metrics derived from unmanned aerial vehicle (UAV) imagery with on‐field wader nest survival monitoring. We show that the immediate vegetation height and heterogeneity within a 2‐meter buffer surrounding the clutch of the recorded ground‐nesting wader species positively influenced its ...
Miguel Silva‐Monteiro, Miguel Villoslada, Thaisa Bergamo, Triin Kaasiku, Camilo Carneiro, David Kleijn   +5 more
wiley   +1 more source

Nitrous oxide and methane production and emission in wetlands receiving nonpoint source nitrate loads. [PDF]

J Environ Qual
Ampe HL, Crumpton WG, Stenback GA, Green DIS.   +3 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

Demystifying the impacts of anthropogenic activities on physicochemical characteristics of soil in four wetlands of Kashmir Valley, India. [PDF]

Sci Rep
Mir UA, Bano H, Attar MI, Bhat MA, Khan ZA, Alsubih M.   +5 more
europepmc   +1 more source

Using time‐series remote sensing to identify and track individual bird nests at large scales

Remote Sensing in Ecology and Conservation, EarlyView.
Time‐series airborne imagery can potentially track individuals over time to collect information beyond one‐off counts. Using weekly UAS‐based imagery of wading bird colonies, we develop an automated approach to identifying nests. Our algorithmic approach detected 68–74% of known nests and exhibited similar performance to human review of imagery ...
S. K. Morgan Ernest, Lindsey A. Garner, Ben G. Weinstein, Peter Frederick, Henry Senyondo, Glenda M. Yenni, Ethan P. White   +6 more
wiley   +1 more source