Articles tagged with Ecological Modeling
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 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%.
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 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.
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 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.
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.
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 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.
Long-term drainage increases bound OC% in non-Sphagnum wetlands due to reactive metal oxides, but decreases it in Sphagnum wetlands. This mechanism helps compensate for lost unbound SOC components in non-Sphagnum wetlands.
Physicists at MIT have devised a formula predicting which invasive species will succeed in an ecosystem, based on analysis of soil bacteria. The researchers found that population fluctuations are key to invasion success, and that diversity can either help or hinder the invader.
Research integrating natural archive data and modelled atmospheric mercury deposition reveals ecosystem responses to Hg input. Ecosystems like lake sediments exhibit trends similar to atmospheric Hg deposition, while ice and marine sediments show less pronounced responses.
Environmental heterogeneity consistently increases pathogen virulence and infectivity. Modest variations in local conditions can lead to up to 40% higher evolved virulence compared to homogeneous metapopulations.
A French research team has developed a method to manage animal-vehicle collisions by deploying camera trap networks and leveraging artificial intelligence and ecological modeling. The approach simulates animal movements, identifies collision hotspots, and estimates species abundance, providing a map of collision risk.
Researchers found that soil contains antibiotic resistance genes that can be transmitted to humans, making it a pressing public health threat. The study reveals how these genes spread through the environment and highlights the importance of understanding soil ecosystems to control antibiotic resistance.
Researchers found that giraffes prefer flat terrain and avoid steep slopes of more than 20° due to energy requirements and risk of falling. This limits their access to habitats in protected reserves, with nearly half of Namibia's habitat being unusable for giraffes.
A hybrid method links bottom-up behaviors and top-down causation in a single theory to capture interactions between small-scale behaviors and system-level properties in disturbed systems. The approach has been tested in examples such as post-fire forest ecosystems and pandemics, predicting ecological patterns and system dynamics.
A new AI model, Spherical DYffusion, can predict climate patterns over 100 years in just 25 hours, making it 25 times faster than the state of the art. The model uses generative AI and physics data to achieve this breakthrough, reducing the need for supercomputers.
Researchers confirm oil presence in Mauritius mangrove forest close to Ramsar conservation sites, three years after MV Wakashio spill. The oil has undergone weathering and biodegradation, but its ongoing presence poses an unknown risk to the sensitive ecosystem.