Articles tagged with Ecological Modeling
Comprehensive exploration of living organisms, biological systems, and life processes across all scales from molecules to ecosystems. Encompasses cutting-edge research in biology, genetics, molecular biology, ecology, biochemistry, microbiology, botany, zoology, evolutionary biology, genomics, and biotechnology. Investigates cellular mechanisms, organism development, genetic inheritance, biodiversity conservation, metabolic processes, protein synthesis, DNA sequencing, CRISPR gene editing, stem cell research, and the fundamental principles governing all forms of life on Earth.
Comprehensive medical research, clinical studies, and healthcare sciences focused on disease prevention, diagnosis, and treatment. Encompasses clinical medicine, public health, pharmacology, epidemiology, medical specialties, disease mechanisms, therapeutic interventions, healthcare innovation, precision medicine, telemedicine, medical devices, drug development, clinical trials, patient care, mental health, nutrition science, health policy, and the application of medical science to improve human health, wellbeing, and quality of life across diverse populations.
Comprehensive investigation of human society, behavior, relationships, and social structures through systematic research and analysis. Encompasses psychology, sociology, anthropology, economics, political science, linguistics, education, demography, communications, and social research methodologies. Examines human cognition, social interactions, cultural phenomena, economic systems, political institutions, language and communication, educational processes, population dynamics, and the complex social, cultural, economic, and political forces shaping human societies, communities, and civilizations throughout history and across the contemporary world.
Fundamental study of the non-living natural world, matter, energy, and physical phenomena governing the universe. Encompasses physics, chemistry, earth sciences, atmospheric sciences, oceanography, materials science, and the investigation of physical laws, chemical reactions, geological processes, climate systems, and planetary dynamics. Explores everything from subatomic particles and quantum mechanics to planetary systems and cosmic phenomena, including energy transformations, molecular interactions, elemental properties, weather patterns, tectonic activity, and the fundamental forces and principles underlying the physical nature of reality.
Practical application of scientific knowledge and engineering principles to solve real-world problems and develop innovative technologies. Encompasses all engineering disciplines, technology development, computer science, artificial intelligence, environmental sciences, agriculture, materials applications, energy systems, and industrial innovation. Bridges theoretical research with tangible solutions for infrastructure, manufacturing, computing, communications, transportation, construction, sustainable development, and emerging technologies that advance human capabilities, improve quality of life, and address societal challenges through scientific innovation and technological progress.
Study of the practice, culture, infrastructure, and social dimensions of science itself. Addresses how science is conducted, organized, communicated, and integrated into society. Encompasses research funding mechanisms, scientific publishing systems, peer review processes, academic ethics, science policy, research institutions, scientific collaboration networks, science education, career development, research programs, scientific methods, science communication, and the sociology of scientific discovery. Examines the human, institutional, and cultural aspects of scientific enterprise, knowledge production, and the translation of research into societal benefit.
Comprehensive study of the universe beyond Earth, encompassing celestial objects, cosmic phenomena, and space exploration. Includes astronomy, astrophysics, planetary science, cosmology, space physics, astrobiology, and space technology. Investigates stars, galaxies, planets, moons, asteroids, comets, black holes, nebulae, exoplanets, dark matter, dark energy, cosmic microwave background, stellar evolution, planetary formation, space weather, solar system dynamics, the search for extraterrestrial life, and humanity's efforts to explore, understand, and unlock the mysteries of the cosmos through observation, theory, and space missions.
Comprehensive examination of tools, techniques, methodologies, and approaches used across scientific disciplines to conduct research, collect data, and analyze results. Encompasses experimental procedures, analytical methods, measurement techniques, instrumentation, imaging technologies, spectroscopic methods, laboratory protocols, observational studies, statistical analysis, computational methods, data visualization, quality control, and methodological innovations. Addresses the practical techniques and theoretical frameworks enabling scientists to investigate phenomena, test hypotheses, gather evidence, ensure reproducibility, and generate reliable knowledge through systematic, rigorous investigation across all areas of scientific inquiry.
Study of abstract structures, patterns, quantities, relationships, and logical reasoning through pure and applied mathematical disciplines. Encompasses algebra, calculus, geometry, topology, number theory, analysis, discrete mathematics, mathematical logic, set theory, probability, statistics, and computational mathematics. Investigates mathematical structures, theorems, proofs, algorithms, functions, equations, and the rigorous logical frameworks underlying quantitative reasoning. Provides the foundational language and tools for all scientific fields, enabling precise description of natural phenomena, modeling of complex systems, and the development of technologies across physics, engineering, computer science, economics, and all quantitative sciences.
The Network for Computational Modeling in Social and Ecological Sciences (CoMSES Net) is a global clearinghouse for computer models that can simulate the spread of the coronavirus. Thousands of scientists are developing these models, but their assumptions and algorithms need to be scrutinized and improved upon.
A new model by Catalina Chaparro-Pedraza and André de Roos shows how small environmental changes can induce slow evolutionary changes in species, leading to delayed regime shifts. This research has implications for understanding complex systems beyond ecosystems, including financial markets.
New research challenges traditional models of community ecology, suggesting that mutualism is compatible with stable communities. The balance of mutualism with other types of interactions plays a determinative role in community dynamics and stability.
The research uses detailed ecosystem population data to build models that aid environmental managers in selecting interventions, determining their impact on species populations. The models can be right more than 70% of the time, providing a better outcome than gut feeling or decisions that can't capture ecosystem complexity.
A study led by Michigan State University researchers found that a collective model created by over 200 anglers and fishing club members accurately predicted pike populations, habitat, and fishing pressure. The results show that involving diverse interest groups improves the accuracy of the solution.
A study by Portland State University researchers found that diverse crowds of local stakeholders can collectively produce complex environmental models similar to those of trained experts. The results correspond more or less exactly to scientific knowledge on the subject, with the final outcomes improving as more individuals are involve...
A new chimeric ranavirus, RCV-Z2, discovered in North America has the potential to decimate tadpole populations quickly through multiple transmission pathways. The virus can spread efficiently through direct contact, necrophagy, and waterborne transmission.
Oregon State University is leading a 3½-year effort to create a center for cancer data harmonization, working with top institutions to develop a cloud-based data-sharing portal. The goal is to integrate disparate data types to aid researchers and healthcare professionals.
The study found that removing invasive mice from the Farallon Islands would reduce the presence of overwintering burrowing owls, which in turn would decrease mortality rates among ashy storm-petrels. The researchers project a stable or increasing population trend for the threatened bird species.
A study by the University of Pavia found that Mediterranean private boats have a high potential to spread alien species through biofouling. Boats traveling to new marinas were likely to be transporting alien species, with visible biofouling in niche areas such as ladders and propellers being key predictors of high species richness.
A review of current land surface models highlights the need for more accurate infiltration predictions, which affect erosion control and water supply. The authors recommend increasing attention to soil structure, moisture, temperature, precipitation, terrain, and plants in these models.
Researchers analyzed moose droppings to understand their dietary choices and found that moose prefer rare plants when they are available. The study suggests that moose's selective foraging behavior has a stabilizing effect on the entire food web, with implications for ecosystem stability.
A new analysis suggests that migration can promote cooperation among individuals by creating heterogeneous patterns in their spatial distribution. This allows populations to thrive despite the threat of exploitation, as defectors avoid cooperators or form communities with public goods.
The University of Rhode Island is leading a team studying coral reef evolution and adaptation with a $3 million NSF grant. Researchers will explore how changes in nutrition and energy through symbiosis influence epigenetic changes in corals, shedding light on the impact of climate change on these critical ecosystems.
A study on squamate skulls reveals that diet, habitat, and evolutionary forces shape the wide range of skull features. The research found correlations between skull traits, with aquatic and burrowing species exhibiting rapid evolution.
Researchers combined two models to identify high-risk areas for lumpy skin disease virus in cattle, highlighting the importance of ecological conditions and wind patterns. The study predicts potential spread in regions such as Russia, Turkey, Serbia, and Bulgaria.
A new study by an international research group has identified the main drivers of global land use projections, revealing that population growth, agricultural efficiency, and consumption changes are key factors. The findings suggest that increasing agricultural productivity, enforcing efficient land use protection, and shifting diets to...
A new study published in the Proceedings of the National Academy of Sciences reveals that tree distributions in African savannas follow distinct patterns, regardless of environmental factors. The research used LiDAR data to identify power law distributions that capture significant statistical correlations at large scales.
Experts have developed a model to identify suitable locations for the reintroduction of Eurasian lynx in Scotland, suggesting that the Kintyre Peninsula is the most suitable site. The study found that Scotland possesses sufficient habitat for population establishment and spread, with the Central Belt acting as a barrier to colonization.
A new study has identified prime candidate primates with potential to transmit Zika virus. An innovative model combining multiple imputation and Bayesian multi-label machine learning techniques assigned risk scores to primate species, revealing the tufted capuchin, Venezuelan red howler, and white-faced capuchin as high-risk species.
Scientists developed a unique model that can predict Eastern Pacific leatherback turtles' location along the coast of Central and South America. The model aims to reduce bycatch mortality of this critically endangered species.
A recent study suggests that dam removals can be anticipated by understanding the unique environmental conditions at each site and their impact on aquatic species recolonization, sediment flow, and water quality changes.
Researchers developed a mapping tool that predicts the best locations for oyster bed reestablishment, maximizing water filtration benefits. The tool utilizes GIS tools and considers factors such as ecosystem services and population sustainability.
Researchers used a Random Forest algorithm to model the spread of invasive alien tree Prosopis juliflora in eastern Ethiopia, revealing an area equivalent to half of neighboring Djibouti was invaded in just 35 years. The study suggests that river courses and road networks are key drivers of its invasion.
Researchers estimate carbon emissions from farmland reclamation in China over the past 300 years, with vegetation emissions ranging from 1.58 Pg and soil emissions from 1.35 to 4.03 Pg. Carbon emissions vary greatly across ecosystems, with forests releasing the most and deserts acting as carbon sinks.
Researchers developed a multiscale model analyzing economic, social, and ecological tradeoffs of dam removal. The model found that large numbers of dams optimize tradeoffs among ecosystem services, river safety, and economic costs, assisting future damming decisions by considering scale and location.
The partnership will boost the Chicago-area innovation ecosystem by providing a new model for manufacturing high-tech start-ups. Argonne scientists will utilize mHUB's expertise and resources in manufacturing and business modeling to support energy tech-related companies.
Climate change and overexploitation are driving the decline of caterpillar fungus in the Himalayas. Rising winter temperatures and unfavorable conditions are threatening the sustainability of this valuable traditional medicine component.
A team of scientists from the University of Leicester has explored the long-standing mystery of mass extinctions, revealing that abrupt transitions can occur due to 'ghost attractors' and 'crawl-bys'. This knowledge could help predict upcoming ecological catastrophes and inform efficient management.
Will Pearse, a USU biologist, has been awarded a $300,000 NSF grant to study the impact of invasive species like cheatgrass. His project aims to use evolutionary history to model practical ecological challenges and engage students in real-world research.
The project aims to build accurate digital reconstructions and simulations of the rodent brain. The latest version of RTNeuron provides real-time rendering capabilities for visualizing neurons, synapses, and simulation data.
The NSF has awarded a five-year, $6.4 million grant to the Sevilleta LTER site in central New Mexico to understand how environmental changes affect dryland ecosystems over time. Researchers will study the transition from grassland to shrubland and the impact of climate variability on ecosystem dynamics.
The study investigates the effects of different disturbance events on a simple microbial food web, finding that the type of disturbance affects bacterial communities and stability. The results highlight the importance of considering trophic interactions and time factors in ecological systems.
A new model by Florida State University researcher Jaap Nienhuis can help stakeholders figure out what factors to consider when rebuilding land in fragile wetlands. The model takes into account various factors such as water and sediment discharge, root strength, and soil consolidation.
A team of researchers from the Oak Ridge National Laboratory has discovered how microorganisms adapt to survive in phosphorus-poor environments. By analyzing genes and proteins, they found an increase in phosphorus-acquiring enzymes and a large number of genes that break down complex organic compounds like phytate.
A QUT-led study found that cumulative maintenance dredging can increase risks on seagrass survival, but shorter dredging programs are unlikely to impact seagrass. The research developed a risk modelling approach to predict how resilient seagrass meadows will be under different environmental conditions.
Researchers found that windborne dust provides a significant source of nutrients for plants in mountain ecosystems, even when nutrient supply from bedrock is substantial. The study's results have implications for understanding the global influence of regional processes and the Earth's balance.
New research from Oregon State University reveals that a heat-tolerant Symbiodinium species may not be able to form a healthy partnership with corals, exacerbating the threat of climate change. The study used an established model system, sea anemones, to test the hypothesis.
New research suggests that plant respiration could be up to 30% higher than previously estimated, leading to reduced ability of the Earth's land surface to absorb fossil fuel-related emissions. This finding has significant implications for modeling carbon cycles and understanding the impact of climate change.
A new study by QUT researchers has developed an advanced statistical model to predict when dredging is least likely to damage seagrass. The model can provide up to a fourfold reduction in recovery time and up to a 35 per cent reduction in local extinction risk for seagrass species.
Researchers applied an ecological model to explain historical settlement patterns in Utah, finding that agricultural suitability drove colonization. The study's results illustrate why populations are distributed across the state and provide insights into the impact of early settlers' decisions on modern-day Utah.
New study highlights challenges in predicting evolutionary fate of new traits, citing factors such as environmental change, social life of alleles, and genetic interactions. This complexity can lead to the emergence of drug resistance and disease outbreaks, emphasizing the need for improved predictive models.
Researchers use aerial drones to visualize Harmful Algal Blooms (HABs) in the York River, allowing for more efficient and cost-effective water sampling. The drones provide high-resolution images that complement satellite imagery and enable researchers to identify toxic algal species.
Researchers use complex ecosystem model to predict whale numbers by 2100, finding some species will not recover, while others like humpbacks are expected to make full recovery. Southern Hemisphere whaling has led to slow growth rates and reduced populations in several species.
Agricultural land use has led to significant soil carbon loss over the past 12,000 years. Major cropping or grazing regions show high hotspots of soil carbon loss, indicating potential areas for restoration.
A new study applies a maximum entropy theory of ecology to describe natural systems and communities without light-limitation parameters. The model, called MaxEnt, uses coarse information to derive detailed distributions and accurately describes ecological patterns.
A new study synthesizes research on coastal armoring and its ecological effects, revealing gaps in knowledge and highlighting the need for more studies. The study evaluates a conceptual model that predicts ecological responses to armoring across various soft sediment ecosystems.
A study reveals how individual-based modeling can help researchers predict the long-term effects of introduced herbivores on invasive species, such as melaleuca. The model suggests that introducing a native beetle can reduce melaleuca growth by 83% and its reproduction by 49% over 20 years.
A team of scientists is using a combination of satellite and ground data to identify monkey populations that have declined through hunting. This approach combines indicators such as human activity zones, mosquito-derived DNA, animal sound recordings, and detections of other species found when monkeys are present.
The EcoCity model simulates future city expansion and predicts urban heat island effects. The study reveals different surface temperatures in various function zones, with urban impervious surfaces and green spaces playing distinct roles in thermal regulation.
Researchers developed an EcoCity model to regulate urban land cover structures and thermal environments, providing fundamental data for urban heat island mitigation. The model showed that land-cover components significantly affect thermal environments in different urban functional zones.
A new parameterization of canopy radiative transfer is proposed, improving the accuracy of land surface radiation models by determining surface albedo and transpiration. The method reveals a relationship between direct and diffuse radiation, treating them separately in previous studies.
A Scripps-led study has identified patterns to predict red tides in coastal areas, offering opportunities for an early-warning system. The research used empirical dynamic modeling and a 30-year archive of field data to identify mechanisms causing red tides.
The newly launched GeoHealth journal by AGU and Wiley focuses on the growing connection between Earth sciences and human health. Researchers are discussing impacts, risks, and opportunities associated with human health and disease. The journal publishes original research, reviews, and commentaries on environmental and health issues.
Researchers found that restoring predators and prey species together is faster and more efficient than pursuing restoration of one species at a time. This approach, also known as synchronous recovery, can lead to significant ecological and economic benefits.
Researchers from U-M Medical School and VA Ann Arbor Healthcare System studied the DNA of bacteria in healthy volunteers' lungs, finding most bacteria arrived through microaspiration. The study confirms that bronchoscope-based techniques can be used to study the lung microbiome in both healthy and sick individuals.
Researchers found that man-made disruptions in natural flow patterns contribute to reductions in both the abundance and diversity of fish and insects. The study provides a scientific basis for establishing ecological flows in North Carolina's major river basins.
Conservation groups in Central and West Africa are marginalizing local communities, who rely on the forest for food, shelter, and resources. The landscape-based approach prioritizes logging and development over community needs, leaving indigenous populations behind.
Researchers developed an engine for likelihood-free inference (ELFI) to model reality accurately in simulators, significantly reducing the number of simulator runs. This facilitates more effective simulation and opens up new possibilities for fields like medicine and environmental science.
A new study uses psychological research to develop a formula for social and environmental perceptions, consumer behavior, and individual actions. The researchers found that consumers' individual actions can go a long way towards optimizing the use of shared resources.