Results 31 to 40 of about 1,095,505 (352)

Improving taxonomic resolution, biomass and abundance assessments of aquatic invertebrates by combining imaging and DNA megabarcoding [PDF]

open access: yesPeerJ
Understanding biodiversity change requires a comprehensive assessment of not only the identity of species inhabiting an ecosystem but also their biomass and abundance.
Philipp M. Rehsen   +5 more
doaj   +2 more sources

What lies beneath: Predicting seagrass below-ground biomass from above-ground biomass, environmental conditions and seagrass community composition

open access: yesEcological Indicators, 2021
Seagrass condition, resilience and ecosystem services are affected by the below-ground tissues (BGr) but these are rarely monitored. In this study we compiled historical data across northern Australia to investigate biomass allocation strategies in 13 ...
C.J. Collier   +8 more
doaj   +1 more source

Status of Microplastic Pollution in Aquatic Ecosystem with a Case Study on Cherating River, Malaysia

open access: yes, 2020
Microplastics are emerging contaminants owing to their potential to adsorb and release pollutants from the environment, transferring these pollutants to the food web.
A. Pariatamby   +4 more
semanticscholar   +1 more source

Temporal variations in macroinvertebrate communities from the tributaries in the Three Gorges Reservoir Catchment, China

open access: yesRevista Chilena de Historia Natural, 2017
Background The seasonal variations in macroinvertebrate communities in tropical, temperate and subarctic regions have been observed and well documented to date, but similar studies conducted in subtropical rivers at the regional scale are relatively rare.
Shiyun Chi   +5 more
doaj   +1 more source

Linking movement and dive data to prey distribution models: new insights in foraging behaviour and potential pitfalls of movement analyses

open access: yesMovement Ecology, 2023
Background Animal movement data are regularly used to infer foraging behaviour and relationships to environmental characteristics, often to help identify critical habitat.
Katie R. N. Florko   +9 more
doaj   +1 more source

Drivers of multi-decadal nitrate regime shifts in a large European catchment

open access: yesEnvironmental Research Letters, 2022
Long-term monitoring shows evidence of persistent changes in the magnitude and timing of the seasonal pattern of nitrate concentrations in streams, with possibly grave effects on aquatic ecosystems. Seasonal patterns of stream nutrient concentrations are
Alexander Wachholz   +6 more
doaj   +1 more source

Environmental DNA analysis confirms extant populations of the cryptic Irwin’s turtle within its historical range

open access: yesBMC Ecology and Evolution, 2022
Background Approximately 50% of freshwater turtles worldwide are currently threatened by habitat loss, rural development and altered stream flows. Paradoxically, reptiles are understudied organisms, with many species lacking basic geographic distribution
Cecilia Villacorta-Rath   +4 more
doaj   +1 more source

A review of the effects of pharmaceutical pollutants on humans and aquatic ecosystem

open access: yesExploration of Drug Science
The presence of high-quality water is essential not only for human survival but also for the well-being of plants and animals. This research aimed to examine studies investigating the occurrence of antibiotics, endocrine disruptors, and other ...
Jaya Vinny Eapen   +4 more
semanticscholar   +1 more source

Capture—Incubate—Release: An Animal‐Friendly Approach to Assess Local Aquatic Macroinvertebrate Species Diversity Through Environmental DNA Metabarcoding

open access: yesEnvironmental DNA
Metabarcoding of environmental DNA (eDNA) from water samples has become an important tool for aquatic biodiversity assessment because it is minimally invasive, time‐efficient, and generates comprehensive taxa lists.
Mandy Sander   +5 more
doaj   +1 more source

Distributed Deep Learning and Energy-Efficient Real-Time Image Processing at the Edge for Fish Segmentation in Underwater Videos

open access: yesIEEE Access, 2022
Using big marine data to train deep learning models is not efficient, or sometimes even possible, on local computers. In this paper, we show how distributed learning in the cloud can help more efficiently process big data and train more accurate deep ...
Mohammad Jahanbakht   +3 more
doaj   +1 more source

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