Results 181 to 190 of about 134,464 (266)

Evaluating Movements of Co‐Occurring Silver and Bighead Carp in a Small Missouri River Tributary

River Research and Applications, EarlyView.
ABSTRACT Silver Carp Hypophthalmichthys molitrix and Bighead Carp Hypophthalmichthys nobilis commonly inhabit small tributaries of mainstem rivers. However, dynamic environmental conditions within these systems may influence their movement patterns differently than in larger rivers, potentially leading to important implications regarding their range ...
Seth M. Renner, Michael J. Weber
wiley   +1 more source

Integrated use of meteorological and hydrological indices for drought early warning in the mountainous catchments of the Himalaya-Karakorum-Hindukush region. [PDF]

Sci Rep
Akhtar T, Mushtaq H, Hashmi MZ.
europepmc   +1 more source

Benthic Macroinvertebrate Recovery After Wastewater Treatment Plant Upgrades: Implications for Biomonitoring

River Research and Applications, EarlyView.
ABSTRACT During the past decade, major upgrades have been made to the Kitchener and Waterloo wastewater treatment plants (WWTPs) in the Grand River watershed in Ontario, Canada. As part of efforts to evaluate the effectiveness of these investments (>$450 M CDN), a benthic macroinvertebrate (BMI) monitoring program was initiated by sampling upstream and
Sean McLay, Mark R. Servos, Leslie M. Bragg, Dominika Celmer‐Repin, Hadi A. Dhiyebi, Azar Fattahi, Keegan A. Hicks, Edward M. Krynak, Mitchell Kay, Adam G. Yates   +9 more
wiley   +1 more source

Hydrological drought trends and seasonality in selected Polish catchments between 1993 and 2022 using a threshold based approach. [PDF]

Sci Rep
Janicka-Kubiak E.
europepmc   +1 more source

Water for agriculture: implications for future policy and practice [PDF]

, 2010
Arnell, Nigel, Bailey, Alison, Charlton, Matthew   +2 more
core  

Quantifying aboveground herbaceous biomass in grassy ecosystems: a comparison of field and high‐resolution UAV‐LiDAR approaches

Remote Sensing in Ecology and Conservation, EarlyView.
The abundance of herbaceous vegetation in grassy ecosystems—which cover >25% of the world's land surface—is highly variable and impacts key ecological processes including carbon sequestration and support for grazing wildlife and livestock. Here, we present a method for using high‐resolution, UAV‐borne Light Detection and Ranging (LiDAR) to estimate ...
Tyler C. Coverdale, Peter B. Boucher, Jenia Singh, Andrew B. Davies   +3 more
wiley   +1 more source

Congo Basin Carbon Cycle Responses to Global Change. [PDF]

Glob Chang Biol
Worden S, Fu R, Bloom AA, Bauters M, Verbeeck H, Fatoyinbo T, Hubau W, Koutika LS, Kengdo SK, Maes SL, Medjibe V, Russo NJ, Saatchi S, Sagang LB, Smith TB, Sonwa DJ, Boeckx P, Ordway EM.   +17 more
europepmc   +1 more source

ECOSTRESS‐derived semi‐arid forest temperature and evapotranspiration estimates demonstrate drought and thinning impacts

Remote Sensing in Ecology and Conservation, EarlyView.
This study demonstrates that ECOSTRESS lands surface temperature (LST) data are sensitive to forest thinning, regional drought, and their interaction. Consistent with high‐resolution UAV images, ECOSTRESS LST data indicate thinned forest had significantly greater temperature across years.
Temuulen Tsagaan Sankey, Thu Ya Kyaw, Julia Tatum, George W. Koch, Thomas Kolb, Rayni Lewis, Helen M. Poulos, Andrew M. Barton, Blase LaSala, Andrea Thode   +9 more
wiley   +1 more source

Flash droughts exacerbate global vegetation loss and delay recovery. [PDF]

Nat Commun
Chai Y, Miao C, AghaKouchak A, Pokhrel Y, Fu Y, Li X, Ji J, Zhang Q, Peñuelas J.   +8 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