M. Ellis results 362
· Newest (Page 1/15, per page 25)
Author: M. Ellis ×Clear All Filters
Search Results
Remote Sensing With Machine Learning to Monitor Seagrass Meadows: Long‐Term Trends in Tauranga Harbour, New ZealandNARA Subscribed
Seagrass meadows play critical roles in coastal ecosystems by stabilising sediments, supporting biodiversity and sequestering carbon, yet monitoring their recovery at scale is often constrained by the lack of scalable and repeatable approaches. This study applies an open‐source remote‐sensing framework to track long‐term changes in Zostera muelleri in Tauranga Harbour, New Zealand, from 1959 to 2024. Using supervised machine l...
Continental‐Scale Biodiversity Predictions Are Influenced by Climatic Variability and Extreme WeatherNARA Subscribed
Increasingly variable and extreme weather can push organisms beyond their physiological thermal or hydric tolerances and limit where they can persist, affecting their geographic distributions and biodiversity patterns. For example, organisms often live near their physiological limits at range edges and may be unable to persist in these regions under variable and extreme conditions. However, it remains unclear how climatic vari...
Offshore fossil fuel extraction and marine conservation: intensifying regulatory challenges in AustraliaNARA Subscribed
Conflicts between marine conservation and extractive industries are escalating globally. This is particularly evident in Australia, where societal perceptions of sustainability, climate concerns, and socio-ecological ideals clash with government economic priorities and fossil fuel interests. Australia’s offshore petroleum licensing and regulatory processes are examined, focusing on the initial decision to release offshore acre...
Calibration of the species threat abatement and restoration metric's threat abatement component in a Costa Rican landscapeNARA Subscribed
Achieving global conservation policy goals requires the ability to set and measure progress toward science‐based targets for biodiversity. The species threat abatement and restoration (STAR) metric was developed to enable actors to set science‐based targets for species. STAR scores quantify the potential contribution of actions to abate threats and restore habitat to reduce species extinction risk in a particular place and can...
Interpretable deep learning reveals spatiotemporal MRI features of brain aging that align with neurodegenerationNARA Subscribed
Cortical thinning and atrophy are hallmarks of brain aging that have been characterized using magnetic resonance imaging (MRI). Brain aging involves many neuroanatomic features whose effects on brain structure remain unexplored. To address this challenge, we trained interpretable deep neural networks (DNNs) to estimate brain age (BA) from T 1 -weighted ( T 1 w) MRI. By identifying MRI features unapparent to humans, DNNs can fi...
SNAPSHOT USA 2024: Year 6 of the Coordinated National Camera Trap Survey of the United StatesNARA Subscribed
Motivation SNAPSHOT USA is an annual, multi‐contributor camera trap survey of mammals across the United States. The growing SNAPSHOT USA dataset is intended for tracking the spatial and temporal responses of mammal populations to changes in land use, land cover and climate. These data will be useful for exploring the drivers of spatial and temporal changes in relative abundance and distribution, as well as the impacts of speci...
Practical application of BREAM2 in bystander/resident spray drift exposure assessments: accounting for variations in water volumeNARA Subscribed
The EFSA 2022 guidance on non-dietary human exposure, including operators, workers, residents and bystanders, relies on output from the original BREAM model, including simplified extrapolation for different application volumes. This study aims to present the current limitations and challenges in the European Plant Protection Product (PPP) authorizations for non-dietary exposure and risk assessments of residents and bystanders....
Alzheimer’s disease (AD) disproportionately affects women and carriers of the apolipoprotein E ε4 allele (APOE4), yet little is known about how sex and APOE interact to influence white matter (WM) integrity during disease progression. We integrated diffusion MRI and matched blood transcriptomic data to investigate these interactions and their underlying biological mechanisms. WM microstructure was quantified using diffusion te...
Assessing the impact of climate change on verticillium wilt and the implications for cotton production in AustraliaNARA Subscribed
Climate change poses significant challenges for agricultural production, potentially altering crop distribution, productivity, and the prevalence of plant diseases. This study focuses on the fungus Verticillium dahliae which causes disease in over 400 plant species, significantly impacting cotton in most major cotton producing countries. We investigate how climate suitability for V. dahliae could change in the future, using Ne...