Results 171 to 180 of about 184,914 (325)

Effects of climate change-induced dissolved oxygen changes on the lipid nutritional quality of bivalves. [PDF]

open access: yesNPJ Sci Food
Zhang H   +7 more
europepmc   +1 more source

Mesoscale and microphysical processes leading to extreme hourly rainfall prior to the merger of two mesoscale convective systems in Central China

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Short‐term extreme rainfall can be produced by the variation of low‐level warm moist airflow during mesoscale convective systems (MCSs) approaching another. The cold outflow of the rapidly moving MCS intensifies the warm moist airflow in front, enhancing the convergence and ascending motion in the quasi‐stationary MCS.
Xiaoyu Gao   +3 more
wiley   +1 more source

Breaking down seagrass fragmentation in a marine heatwave impacted World Heritage Area

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Habitat fragmentation can exacerbate the impacts of habitat loss but is rarely quantified in marine environments. Using satellite‐derived habitat maps, we identify widespread seagrass fragmentation following a marine heatwave that contributed to a dramatic shift in seascape structure in the Shark Bay World Heritage Area.
Michael D. Taylor   +4 more
wiley   +1 more source

Assessing group size and the demographic composition of a canopy‐dwelling primate, the northern muriqui (Brachyteles hypoxanthus), using arboreal camera trapping and genetic tagging

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
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

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

open access: yesRemote 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   +10 more
wiley   +1 more source

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