Articles tagged with Ecological Modeling
A new study reveals that sharks and rays adjust their growth and reproduction in response to changing food availability, affecting population growth and recovery. This flexibility makes it challenging to predict species' responses to pressures like overfishing and environmental change.
The Earth BioGenome Project aims to create a digital library of DNA sequences to preserve and protect life on Earth. With over 2,200 scientists in 88 countries, the project is making discoveries that could help assure food security and advance medicine.
UCSB researchers warn that the ocean's cumulative impact will double by 2050 due to climate change and human activities. The tropics and poles are expected to experience the fastest changes in impacts, with coastal areas bearing the brunt of the increased pressures.
A global assessment reveals that ocean plastics pose ecological risks in areas with dense marine life and pollutants, even in waters with modest plastic levels. The study identifies high-risk zones, including the North Pacific and North Atlantic oceans, where coordinated efforts can substantially lessen threats.
Researchers found that the island has enough trees, hedgerows, and seeds for the estimated 3500 red squirrels to thrive and grow. The study also discovered signs of genetic mixing between the east and west populations, suggesting a bright future for the island's squirrel population.
A new study by Bournemouth University confirms that red squirrel populations across Europe are resilient to the effects of climate change, but highlights the need for conservation efforts to protect their habitat. The study found that temperature changes and low rainfall do not directly affect the survivability of red squirrels.
Fossilized marine invertebrates accurately reflect past ecosystems' functional diversity, offering a powerful tool for understanding long-term ecological change and informing modern conservation efforts. The study supports the growing field of conservation paleobiology by validating the use of functional diversity metrics in fossil data.
A recent study found that wolf hunting has a limited effect on reducing livestock losses, with an average reduction of 2% in predation rates. However, the impact of hunting on lethal removals, which are expensive operations targeting specific wolves, is negligible.
Researchers found that bat boxes can reach lethal temperatures if not designed properly. Simulations showed that adding insulation, light colors, and thoughtful orientations can make the boxes safer. The study's code is publicly available, allowing conservationists to tailor their solutions to specific climates.
A review paper suggests microclimates could offset negative impacts of extreme weather on insects. The authors argue that current macroclimate models are not viable for predicting impacts on insect populations.
Six UNH faculty members receive prestigious CAREER grants to develop innovative technologies addressing pressing global issues. The recipients' projects focus on climate resilience, artificial intelligence, software reliability, and healthcare technologies, aiming to improve public safety and well-being.
A new framework developed by Northwestern University and UCLA scientists integrates various water-related processes with a machine-learning model to predict landslide threats. The framework identifies three main pathways leading to landslides: intense rainfall, rain on already saturated soils, and melting snow or ice.
The SPUN Underground Atlas reveals that over 90% of mycorrhizal biodiversity hotspots lie outside protected areas, emphasizing the need for conservation efforts. The digital map provides insights into fungal diversity and environmental factors, enabling predictions for previously unmapped regions.
Researchers found that indirect effects of tropical cyclones contribute more than twice the direct effect to rainfall during the Habagat season, with 51.5% coming from the monsoon itself. This new understanding can improve extreme weather anticipation and disaster response.
A new study introduces the SESBI index to measure stream health based on ecosystem services provided to humans. The tool evaluates six indicators directly tied to stream benefits, enabling decision-makers to quickly understand a stream's condition and prioritize investments.
Researchers used a data-driven approach to filter out ideal tree species for urban forests, mapping carbon stock and biogenic volatile organic compounds (BVOCs) emissions of six dominant urban tree species in Beijing. The study identified two optimal species: Betula platyphylla for high-altitude areas and Robinia pseudoacacia for urban...
A USC-developed shipboard system using limestone and seawater can remove up to half of carbon dioxide emitted from shipping vessels, cutting maritime CO2 emissions by 50%. The process mimics a natural chemical reaction in the ocean, where CO2 is absorbed into water pumped onboard and then neutralized through a bed of limestone.
The SEB Conference 2025 will feature over 500 talks on latest advances in experimental research across animal, plant and cell biology. The event highlights groundbreaking research in biomechanics, wildlife conservation, human disease and bio-inspired robotics.
A new study by the University of Göttingen and Freie Universität Berlin found that Mediterranean-type regions require tailored restoration methods due to varying soil and climate conditions. The research suggests that compromises are often needed, and what works best depends on local goals and conditions.
A new study found a universal organizing pattern governing species distribution across biogeographical regions. The research reveals that core areas provide optimal conditions for species survival and diversification, driving biodiversity radiance outward.
Nico Wunderling joins the Center for Critical Computational Studies (C3S) to investigate global warming's impact on planetary stability. He focuses on the Amazon rainforest and its biodiversity under climate change pressures.
Researchers have mapped global microplastic distribution patterns by size and polymer type, revealing that microplastics are deeply embedded in the ocean's structure. The study found that smaller microplastics spread more evenly and penetrate deeper, while larger ones concentrate near the surface, affecting key biogeochemical processes.
A new approach, called ESGAN, reduces the need for human-annotated data by one-to-two orders of magnitude in machine-learning models for crop breeding. The tool can differentiate between aerial images of flowering and nonflowering grasses with minimal external guidance, increasing the pace of agricultural field research.
The Colombian government is implementing a new agenda including climate- and biodiversity-related programs to compensate landowners for restoring forests or following management practices that maintain nature's benefits. A natural capital account has been developed to quantify natural assets, benefits, and changes over time, providing ...
Modelling analysis reveals sediment levels and nitrogen concentrations will increase with development and forest conversion upstream. The study forecasts water quality degradation at drinking water intakes across the regional watershed.
A new study maps the daily movement of cyanobacteria in Florida's largest freshwater lake, revealing how these harmful algal blooms form and behave. The research provides critical insights into managing the risks associated with cyanobacteria blooms.
A new autonomous drone system, WildWing, provides ecologists with deeper insights into animal behavior in the wild by collecting dense animal behavioral data. The system has been shown to improve accuracy and reliability compared to human-driven attempts, enabling scientists to focus on scaling up research objectives.
Analysis of citizen science data suggests that warmer ocean temperatures can increase loggerhead sea turtle nesting sites along Italy's coastlines. Preserving natural beaches is crucial for maintaining these habitats.
An international team of agronomists calls for a new approach to estimate crop yield potential and gaps. Current statistical models rely on best-case scenarios and extrapolate a single yield potential across large regions, leading to conflicting results.
A recent study suggests that Saturn's moon Titan could support simple, microscopic life forms due to its abundant organic content. However, the amount of biomass that can exist in this environment is likely to be extremely limited, possibly only a few pounds.
Researchers created a timeline for bacterial evolution and oxygen adaptation using genomic data, fossils, and Earth's geochemical history. Their findings suggest that some bacteria could use trace oxygen long before evolving photosynthesis.
A new study models the demography of agricultural transitions, finding that population dynamics played a crucial role in the adoption of farming. The researchers used an ecological model to analyze interactions between farmers and hunter-gatherers, highlighting the impact of factors such as group migration and cultural assimilation.
A project aims to understand how temperature, light pollution, and bird abundance affect West Nile virus transmission in mosquitoes. The goal is to advise health departments on the best time to kill bugs and limit transmission.
The model analyzes host characteristics and virus genetics to predict potential reservoirs for orthopoxviruses, including smallpox and mpox. It identified Southeast Asia, equatorial Africa, and the Amazon as hotspots, overlapping with areas of low vaccination rates.
University of Michigan researchers developed a statistical method to give a more complete sense of human ancestry. The Gaia algorithm estimates an individual's genetic ancestors, identifies their average location based on movement assumptions, and tracks it back over centuries.
Crop mapping uses satellite imagery to create accurate crop type maps in various regions. The research team trained machines to recognize crops from satellite images, achieving high accuracy rates. However, models pre-trained on general image datasets performed better than those pre-trained on satellite images.
A study led by Evan Gora found that Dipteryx oleifera trees can survive direct lightning strikes with minor damage, while other trees are badly damaged. The researchers discovered that these trees tend to have fewer lianas and are more likely to gain an advantage in competing for light and space after being struck by lightning.
A new study suggests that easing L.A.'s outdated tree planting rules could significantly grow the city's urban tree canopy without compromising safety. By relaxing restrictions near intersections, utility poles, gas lines, and other infrastructure, tree coverage in lower-income neighborhoods like Boyle Heights could increase by up to 26%.
Scientists at Woods Hole Oceanographic Institution develop a novel approach to assess extinction risk for emperor penguins, revealing they meet criteria for Vulnerable to Endangered under IUCN guidelines. This change highlights the elevated risk emperor penguins face due to future changes in their Antarctic habitat.
A recent study refines Siberia's land cover data using machine learning techniques, revealing a high-precision map that enhances climatic predictions. The new dataset improves assessments of carbon flux and ecosystem changes, providing essential insights for climate scientists.
The new Individual-based Ecology journal publishes its first articles, offering a fresh perspective on how individual organisms and ecological systems dynamics are linked. The journal focuses on individual-based perspectives in ecology, complementing other ecological disciplines.
A comprehensive analysis of butterfly data in the US found that butterfly abundance fell by 22% between 2000 and 2020. The study, led by Eliza Grames at Binghamton University, examined data from over 12.6 million butterflies across the continental US.
A new study suggests that artificial intelligence can effectively detect wildfires in the Amazon rainforest, using satellite imaging and deep learning. The technology achieved a 93% success rate in training models via datasets of images with and without wildfires.
A new study by UNSW researchers predicts the heat tolerance of 60% of the world's amphibian species, revealing that 2% are already exposed to overheating in shaded terrestrial conditions. A 4°C global temperature increase could push 7.5% of species beyond their physiological limits.
Researchers propose a new biological hypothesis that combines tree dispersal modes and mycorrhizal types to explain the latitudinal variation in forest biodiversity. Advanced spatial analysis techniques reveal a negative aggregation–abundance relationship, stronger in temperate forests, which is linked to animal seed dispersal and myco...
A team of scientists has developed a new method to monitor undersea sediment flows, allowing them to track the longest-runout sediment flows ever recorded. The study reveals that turbulent mixing with seawater influences the behavior of these powerful canyon-flushing turbidity currents over long distances.
Soil microbial diversity decreases in alpine pioneer community degradation, while ecosystem functions initially increase before declining. Fungal communities are more vulnerable to environmental changes than bacterial ones.
A new remote sensing algorithm enhances lake ecological management and controlling eutrophication by providing a more accurate tool for assessing lake health. The algorithm overcomes traditional limitations by considering the entire water column, resulting in more comprehensive assessments of algal biomass.
A new method developed by Osaka Metropolitan University accurately predicts housing prices in Osaka City, with neighborhood perception being a key factor. The approach achieves nearly 75% accuracy by combining existing property data with machine-learning-processed street view images.
A new study from the University of Illinois explores how differences in ownership motivation affect willingness to control invasive plants and pests. The research suggests that providing subsidies to the weakest link, such as recreationist landowners, can optimize the effect of control efforts and reduce costs.
A new study reveals that India's successful tiger recovery is driven by factors such as protection, prey availability, peace, and prosperity. The country has managed to double its tiger population since 2010, thanks in part to the establishment of protected areas and conservation efforts.
A new bioenergetic model reveals that sea ice loss and feeding limitations are the primary drivers of a ~50% polar bear population decline since the mid-1990s. The study's findings have implications for conservation efforts, suggesting that individual energetic constraints can shape population-level outcomes.
Researchers introduce 'fitness centrality,' a faster method to identify crucial elements in any network, with practical applications in supply chains, ecological conservation, and cybersecurity. The approach streamlines analysis, making it practical for vast networks.
Neuromorphic computing is poised to emerge into full-scale commercial use, driven by the need for energy-efficient solutions. The review article proposes strategies for building large-scale neuromorphic systems that can tackle complex real-world challenges.
A three-year project aims to proactively ensure circularity of solar panels by providing solutions to barriers throughout the supply chain. The team will develop reverse logistics models and next-generation data-driven supply chains for recycling solar panels and reusing critical materials like silicon and silver.
A Politecnico study proposes a global model that optimizes agricultural and water resources, making the EAT-Lancet diet a sustainable possibility. The model suggests crop redistribution and trade flow improvements could reduce global cropland by 37-40% and irrigation water use by 78%.
The study utilizes infrared spectroscopy and a machine-learned protocol to map spectroscopic fingerprints to atomistic structures. The authors demonstrate the accuracy of their network in predicting local atomistic structures and energetic variations, enabling the tracking of dynamic C–C coupling on Cu surfaces.
The Ecological Peace Corridors concept aims to connect fragmented protected areas across international borders, promoting cooperation and minimizing disputes over resources. By leveraging artificial intelligence and zoning systems, these corridors could foster peacebuilding before conflicts escalate or in post-conflict efforts.
Mayo Clinic is developing foundation models with Microsoft Research and Cerebras Systems to personalize patient care, accelerating diagnostic time and improving accuracy. These multimodal models integrate radiology images and genomic sequencing data to transform clinical diagnosis and treatment.
Researchers developed a cutting-edge method leveraging Graph Neural Networks (GNNs) to predict mesozooplankton community dynamics and visualize their interactions. The study achieved remarkable improvements in forecasting accuracy by integrating inter-series relationships and temporal dependencies among input-variables.