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.
A new mapping project identifies 20% of the globe's northern permafrost region as potential thermokarst landscape, storing twice as much carbon as currently in the atmosphere. Scientists can use the map to estimate greenhouse gas emissions and test assumptions about permafrost thaw.
A new paper describes a research team's models forecasting potential outcomes in the Galapagos Islands, developed to help the Ecuador government balance economic development and resource conservation. The models use real data and social-ecological processes to predict sustainable growth by 2033.
A new approach to modelling land use change developed at UBC enhances existing computer planning models, enabling planners to consider neighboring land-use patterns. The CLUE-S modeling system was adapted to facilitate regional planning and collaboration among bordering jurisdictions.
A study of 1000 scientific studies reveals that oil palm plantations have reduced ecosystem functions, particularly gas regulation and water supply. However, the production of marketable goods, such as palm oil, can increase the provision of food and raw materials.
Researchers from the University of New Hampshire have developed a geospatial approach to better understand the roles of pre-European archaeological monument sites in Michigan. By utilizing a modeling technique called Maximum Entropy, they were able to identify the distinct niches occupied by burial mounds and circular earthwork enclosu...
Professor Yiqi Luo of the University of Oklahoma has been elected as a Fellow of the American Geophysical Union for his pioneering work on data assimilation and ecological forecasting. His research focuses on predicting ecosystem responses to global change, enabling ecologists to forecast future changes in ecosystem services.
A new tool by Japanese researchers predicts the risk of Zika virus importation and local transmission for 189 countries, identifying subtropical and tropical nations as high-risk. Countries with a history of dengue and other mosquito-borne diseases face the greatest risk of infection.
Mode-2 waves can carry beneficial and detrimental materials between ecosystems, trapping them inside layers of different densities. Researchers found that larger bulges result in more material carried by the wave, while small regions of turbulence can cause it to break down.
Researchers developed an electronic version of a logistic map that can interact with multiple maps, making it scalable. The model allows for the comparison of previous computer simulations with experimental results using state-of-the-art technology.
A new study reveals that local populations of threatened species may adapt to specific conditions, necessitating different conservation strategies. The research suggests using ecological models to predict suitable areas for each population, improving conservation efforts for the Karner blue butterfly and Siberian primrose.
Researchers at Kansas State University have validated a model showing the growth of lone star ticks in Kansas, extending their range from eastern third of state to western Colby. Climate change is predicted to favor more tick-borne diseases among people and pets.
The One Ecosystem Journal offers innovative publishing models for ecology and sustainability research, incorporating open data and peer review. The journal uses the ARPHA platform to facilitate collaboration and dissemination of information.
A new analysis suggests that placing plastic collectors near coasts is more beneficial for removing microplastics and preventing harm to wildlife and ecosystems. The study found that this approach could remove up to 31% of microplastics, compared to just 17% if all collectors were deployed within the Great Pacific garbage patch.
SUNY Downstate researchers identified areas of high probability of plague bacteria in the western United States. Their findings can be used by public health agencies to target specific areas for enhanced plague surveillance, particularly in regions with significant animal hosts.
A recent study has revealed that Earth's first large and complex organisms formed more intricate ecosystems than previously thought. The research focused on an extinct organism called Tribrachidium, which lived during the Ediacaran period, characterized by suspension feeding, a feeding mode not documented in ancient species.
A team of scientists has developed a new method to assess the structure of natural forests using principles from stochastic geometry. The approach enables quick and accurate assessment of biomass estimates, revealing surprising low packing densities in tropical forests.
Researchers have developed a model to predict the risk of waterborne diseases in flooding rivers, which can affect millions of people worldwide. The study's findings highlight the importance of understanding the complex interactions between environmental and human factors in shaping disease dynamics.
Researchers will investigate how disturbances like fire and insect infestation are changing the Earth's carbon absorption, and use models to optimize observation networks for detecting impact on ecosystem carbon balance. The project aims to understand how terrestrial landscapes are shifting from being a net carbon sink to a source.
A new model presents a common mathematical structure underlying food-web interactions, allowing ecologists to view all species' connections using a single language. The model reveals previously unobserved similarities between different ecological reactions and has profound implications for infectious diseases, fisheries, and conservation.
Linda J.S. Allen, a renowned mathematician at Texas Tech University, has been recognized with the AWM-SIAM Sonia Kovalevsky Lecture award for her significant contributions to ordinary differential equations, difference equations, and stochastic models, particularly in the areas of infectious diseases and ecology.
Researchers developed a model to assess how dams affect sea-run fish populations, finding that abundance and distribution increased when mainstem dams were removed or passage efficiency improved. The model can predict ecological responses of fish populations and evaluate management actions for fish migrating between fresh and saltwater.
The Yale Journal of Industrial Ecology explores how integrating complexity science can improve sustainability studies. Researchers apply complexity science to various topics, including urban systems, energy efficiency, and eco-industrial parks.
Bai-Lian Li, a professor of ecology at UC Riverside, has been awarded the 2015 Prigogine Gold Medal for his work on mathematical and statistical modeling applications in ecological studies. His research focuses on self-organization, emergence, and non-equilibrium biological systems.
The new journal, Ecosystem Health and Sustainability, aims to publish research applying ecological science to sustainable development at local, national, and international scales. It encourages integration of natural, social, and behavioral studies and seeks research with implications for strategic planning and governance.
A new forecasting method, empirical dynamic modeling (EDM), has improved predictions for Fraser River sockeye salmon in British Columbia. The EDM technique uses archives of field data to drive predictions, outperforming traditional management forecast tools with a smaller error margin.
Using holistic frameworks to model many components of both human and natural systems can shed insights on how activities in one part of the world affect distant regions. Economic models, such as those provided by the Global Trade Analysis Project, help policymakers make informed decisions about sustainability.
A Stanford scientist is developing a flexible model to manage stormwater runoff in big cities, with the goal of determining its ecosystem and financial benefits. The research aims to study the value of stormwater retention services for large cities in developing countries and compare their benefits to other services.
Research from Nepal's Chitwan National Park found that leopards avoid tigers by seeking different locations to live and hunt, while shifting their activity patterns to nighttime. The study highlights the complexity of human-wildlife interactions and the need for conservation efforts to account for these dynamics.
Researchers divert a Chinese river to mitigate environmental disasters and propose an integrated approach to manage water resources, ecological health, and economic development. This study provides a potential model for sustainable development of other inland river basins.
Researchers have described the intricate relationships within a biological wastewater treatment plant in unprecedented detail. This study provides new insights into the laws governing bacterial function, with potential applications in medicine and environmental conservation.
Kansas State University's Konza Prairie Biological Station will continue to conduct long-term ecological research with a renewed $6.76 million NSF grant. The grant supports research on the impact of land-use change, climatic variability, and restoration ecology on tallgrass prairie ecosystems.
A study published in PLOS ONE suggests that coral reefs will have winners and losers among species facing increasing stressors. Fast-growing, small, and stress-resistant corals are likely to thrive in a warmer future.
Scientists analyzed depictions of animals in ancient Egyptian artifacts to reconstruct the large mammal community that lived in the Nile Valley. The study found that species extinctions led to a decline in ecosystem stability, with only eight species remaining today compared to 37 six millennia ago.
A study suggests that certain population densities allow for coexistence between grouse shooting and hen harrier conservation. Grouse managers and conservationists agree on a possible compromise using a model that shows room for 70 pairs of harriers at relatively low cost to grouse shooting. This approach could involve removing excess ...
A new ecological model, called a mean field model for competition, incorporates the 'Red Queen Effect' and improves understanding of species evolution. The model predicts that new species with competitive advantages will evolve and outcompete current species.
A new study by Petri Kärenlampi refines the biological evolution model by incorporating species interactions and varying degrees of symmetry. The results show that anti-symmetric interactions lead to large, stable ecosystems, while symmetric systems remain small.
Researchers urge caution when exploring/exploring the deepest parts of our oceans, highlighting the need for a 'happy balance' between use and environmental costs. The deep ocean is already experiencing impacts from human activities such as fishing, oil and gas development, and waste disposal.
Jiang and DeAngelis' theoretical paper explores how species modify their environment to gain benefits, affecting community diversity. Their work is likely to foster further research and generate hypotheses for experimental studies.
Researchers found that effective communication involves both signalers and receivers, with groups of males called leks increasing accuracy for females. Investing in ecological structures showed a weak improvement in signaling ability, while using non-food items reduced accuracy.
A new study by Florida State University researchers questions the traditional model of biological diversification, finding that colonizing continents does not lead to rapid adaptive radiation. However, they did discover a weak effect of first colonizers suppressing diversity among later colonizers.
A new model suggests that characteristics like phenotype and interaction mechanisms are key to understanding the chances of an invasive species succeeding. The study challenges Darwin's original theory on naturalization conundrum, indicating that ecological relationships alone are a weak predictor of invader success.
Research finds that animal populations can significantly influence carbon storage and exchange in regional ecosystems, often rivaling the impact of fossil fuel emissions. This underplayed role highlights the need for a more comprehensive understanding of the indirect effects of animals on the carbon cycle.
A new study predicts global forest cover will decline from 30% to 22% over the next two centuries due to increased agricultural demands and urbanization. The model suggests cooperation among nations is crucial to preserving forests, with technologies sharing being a key strategy.
Researchers use mathematical models to predict vegetation pattern formation in dry environments. The Klausmeier model determines the critical rainfall level needed for banded vegetation patterns to form. This study has significant implications for land management and environmental concerns.
A new study from Northern Arizona University found that ecosystems have a limited capacity to absorb atmospheric carbon dioxide, and soil microorganisms play a crucial role in determining carbon storage. The study suggests that widely accepted carbon cycle models overestimate the impact of ecosystems on absorbing carbon.
The journal Ecosystem Services presents a special issue on mapping and modelling ecosystem services, integrating geo-biophysical processes to understand supply and ecological functions. The integration of methods like thematic mapping, GIS, and dynamic models provides insights into actual service demand and consumption.
Researchers found that including parasites in food web models changes the distribution of feeding links per species, average shortest feeding chain between pairs of species, and proportion of omnivores or cannibals. Most changes occur due to increased diversity and complexity, rather than parasite-specific effects.
The BMC Ecology Image Competition has announced its winners, featuring striking visual elements that depict specific ecological interactions. The overall winning image highlights the coevolution of a stick insect and its host, while the runner-up showcases a subalpine flower meadow in Colorado.
A team of scientists from Duke University and the University of Padova found that marsh plants actively tune their elevations by producing organic soil and accumulating sediments. This complex interplay with the environment helps species stabilize the soil within favorable states, allowing for greater long-term stability.
Researchers from Princeton University found that large national and international banks wield an influence that far exceeds their actual size. To mitigate this effect, the researchers suggest requiring large banks to maintain capital relevant to their systemic importance.
The MU researcher's network model can analyze complex networks to identify the most damaging cyber attacks, protect critical infrastructure, and halt disease epidemics. By understanding network resilience, officials can prevent future problems and make informed decisions for conservation projects.
The Global Biodiversity Informatics Conference identified critical areas for greater investment and coordination in information technologies and social networks. The conference aimed to build global collaboration on biodiversity observation, uniting partners and initiatives to detect and respond to short-term changes and long-term trends.
Researchers warn of an impending catastrophic event where the planet's ecosystems irreversibly collapse due to extreme fluctuations in climates and biodiversity loss. The study suggests that governments must take immediate action to reduce population growth, invest in sustainable technologies and adopt environmentally-friendly practices.
A new computer model developed at NC State University predicts the environmental impact of forest land-use decisions, considering factors such as plant growth and water cycles. The DRAINMOD-FOREST model will help policy makers and forest managers make informed decisions to minimize environmental harm while maintaining forest productivity.
A new study has found that experiments underestimate plant responses to climate change, with shifts in flowering and leafing timing being much greater than estimated. Long-term historical records show that many plant species have shifted their leafing and flowering earlier, in step with warming temperatures over recent decades.
A study of 50 plant studies across four continents found that experimentally induced shifts in plant timing are underestimated by at least fourfold compared to long-term records. Long-term historical records consistently show a 5-6 day advance per degree Celsius, with potential consequences for species diversity and ecosystem services.
A computer model assesses ecological impacts and compares effectiveness of strategies to reduce biological diversity risks. The study shows that preserving fallow land and field margins can buffer unintended side-effects and prevent external costs.
Researchers propose a new model for understanding deep-water oil spills, emphasizing the importance of retaining most oil at depth and questioning dispersant efficacy. The study highlights gaps in scientific understanding and argues for increased research funding to better prepare society for future spills.
Researchers have created a new conceptual model for understanding deep-water oil spills, emphasizing the importance of mid-water and deep ocean impacts. The study highlights major gaps in scientific understanding and calls for further investigation into long-term effects.
Researchers at EPFL develop mathematical tool to model flow of biocides from building façades into river basins, revealing high concentrations of pollutants. The model accurately predicts peak levels of three common biocides, highlighting the need for stricter regulations and reducing dependency on expensive testing.