Results 21 to 30 of about 53,520 (261)

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

Ecological 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, L.M. Langlois, K.M. McMahon, J. Udy, M. Rasheed, E. Lawrence, A.B. Carter, M.W. Fraser, L.J. McKenzie   +8 more
doaj   +1 more source

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

Environmental 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, James W Jawitz, Olaf Büttner, Seifeddine Jomaa, Ralf Merz, Soohyun Yang, Dietrich Borchardt   +6 more
doaj   +1 more source

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

BMC 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, Thomas Espinoza, Bernie Cockayne, Jason Schaffer, Damien Burrows   +4 more
doaj   +1 more source

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

Environmental 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, Arne J. Beermann, Dominik Buchner, Martina Weiss, Marie‐Thérése Werner, Florian Leese   +5 more
doaj   +1 more source

Spin‐Dependent Generation of Surface‐Bound Radicals Toward Selective and Long‐Lasting Water Purification

Advanced Functional Materials, EarlyView.
This study develops a novel atomic engineering strategy to fine‐tune the spin state of α‐Fe2O3 catalysts toward a medium‐spin state, thereby modulating peroxymonosulfate activation and selectively yielding surface‐bound radicals. Compared with free radicals, surface‐bound radicals exhibit moderated oxidation potential, extended lifespan, surface ...
Shuyu Wang, Zhonglin Chen, Jimin Shen, Pengwei Yan, Jing Kang, Binyuan Wang, Shengxin Zhao, Xiaoguang Duan   +7 more
wiley   +1 more source

Establishing a Model Precursor System: Over a Decade of Research on Carbon Dots from the Citric Acid‐Urea System

Advanced Functional Materials, EarlyView.
The citric acid/urea (CA‐Urea) precursor system offers a versatile, scalable route to carbon dots with tunable luminescence and multifunctionality. Mechanistic insights into precursor chemistry and reaction parameters have enabled doping, surface modification, and hybridization strategies, yielding CDs for luminescent devices, sensing, catalysis ...
Yupeng Liu, Zhiqi Cai, Xiangxin Sun, Hanyi Zhang, Yiming Hao, Jun Wu, Zekun Yan, Xue Wu, Yiqi Liang, Liming Wang, Songnan Qu   +10 more
wiley   +1 more source

Ecological impact assessment of climate change and habitat loss on wetland vertebrate assemblages of the Great Barrier Reef catchment and the influence of survey bias

Ecology and Evolution, 2021
Wetlands are among the most vulnerable ecosystems, stressed by habitat loss and degradation from expanding and intensifying agricultural and urban areas.
Adam D. Canning, Nathan J. Waltham
doaj   +1 more source

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

IEEE 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, Wei Xiang, Nathan J. Waltham, Mostafa Rahimi Azghadi   +3 more
doaj   +1 more source

Evaluation of the Dual Impact of Nanotechnologies on Health and Environment Through Alternative Bridging Models

Advanced Healthcare Materials, EarlyView.
This review explores how alternative invertebrate and small‐vertebrate models advance the evaluation of nanomaterials across medicine and environmental science. By bridging cellular and organismal levels, these models enable integrated assessment of toxicity, biodistribution, and therapeutic performance.
Marie Celine Lefevre, Margherita Bernardeschi, Matteo Battaglini, Gianni Ciofani   +3 more
wiley   +1 more source

Artificial Aquatic Ecosystems [PDF]

Water, 2018
As humans increasingly alter the surface geomorphology of the Earth, a multitude of artificial aquatic systems have appeared, both deliberately and accidentally. Human modifications to the hydroscape range from alteration of existing waterbodies to construction of new ones.
Chelsea Clifford, James Heffernan
openaire   +1 more source