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.
Researchers developed a new framework to predict how microbes interact with each other in unique compositions. Most microbes had minimal impact on the final outcome, with only select few playing crucial roles. The model has potential applications in personalized medicine and understanding microbiome assembly.
Researchers develop a mathematical model that analyzes the future survival of plants in a changing climate by studying how far wind can carry seeds. The model provides fast and reliable predictions of seed movement, considering factors like seed type, plant height, and wind speed.
A team of scientists from the Leibniz Institute for Zoo and Wildlife Research found that grey wolves' habitat selection changes during recolonization in Germany, moving from early-stage 'cherry-picking' to late-stage less-selective choices. This shift affects predictions of wolf distribution and expansion in the country.
A new data-driven framework uses machine learning to identify keystone microbial species in human gut microbiomes, varying across communities. The study found that keystone species have context-dependent essentiality and can aid digestion, breaking down complex starches.
Researchers developed a novel modeling approach to predict microbial community behavior, improving sustainability and efficiency of biological wastewater treatment. The new framework uses high-resolution molecular data to forecast composition and activity of microbial communities up to three years into the future.
Research suggests that diverse forests can capture approximately 226 Gigatonnes of carbon, but this potential can be achieved by incentivizing community-driven efforts to promote biodiversity. Restoration efforts should include natural diversity of species and sustainable practices.
A recent simulation study suggests that giant dinosaur carcasses could have been a key food source for Jurassic predators like Allosaurus. The researchers found that scavenging large carrion was more profitable than hunting, indicating that carnivores in such ecosystems might have evolved specialized traits to exploit these resources.
Studies using controlled experimental-ecosystem chambers found that even low intensities of light pollution have profound effects on individual species' responses and ecological networks. Artificial light alters the timing of key behaviors in mosquito populations, which may carry wide-scale consequences for disease transmission.
Researchers from the UMA developed an open-source platform called Open Twins to create more accessible and versatile digital twins. This platform enables the simulation of real-world assets based on virtual replicas, predicting future behaviors and detecting anomalies, leading to more efficient companies that make data-driven decisions.
Researchers developed a single model that predicts population fluctuations in urban employment, human gut microbiomes, and tropical forests. The model, SLRM, generates a narrow distribution of the most likely trajectories, allowing for prediction and response to variability across multiple domains.
Existing UK air pollution regulations will reduce thousands of premature adult deaths, but have limited impact on protecting sensitive ecosystems. The study found that even with the most effective technically feasible measures, air pollution would still harm UK's natural habitats and ecosystems.
A Rice University scientist used a mixed-reality headset with custom-designed software to measure and analyze forest floor vegetation in Tanzania's Udzungwa Mountains National Park. The study found that mammal diversity increases with forest floor habitat surface area, leading to a greater variety of ecological characteristics.
A new study published in Conservation Physiology identifies the critical limits of plant function under stress, enabling more effective conservation strategies. By understanding these limits, conservationists can identify vulnerable species and allocate resources more wisely.
A new method using big data and AI models the interactions of entire ecological communities across continents, revealing patterns of biodiversity. The collaboration between Cornell Lab of Ornithology and Cornell Institute for Computational Sustainability provides vital information for conservation efforts.
Researchers discovered that monk parakeets possess a unique tone of voice, known as a voice print, similar to humans. This finding raises the possibility that other vocally flexible species may also have a voice print.
Researchers recommend prioritizing ecosystem services in mangrove conservation to protect infrastructure, communities, and fisheries while safeguarding billions of dollars' worth of coastal property value. This approach could safeguard 6.1 million people against flooding and sequester over one billion tonnes of carbon.
Researchers developed an analysis framework to predict wolf movement and conflict risk in advance, identifying a complex of federal Wilderness areas as the best location for reintroduction. The study highlights the critical role of Wilderness areas in providing habitat and connectivity for species with a history of conflict with humans.
Scientists validate a long-held ecological distribution theory, but find it doesn't hold true for islands with human habitation. The findings suggest that traditional models of the natural world may no longer be valid in the face of mounting local human impacts.
Associate Professor Tadashi Ando from Tokyo University of Science conducted a study to test the performance of OPC and OPC3 water models, evaluating their shear viscosities and comparing values to experimental calculations. The calculated viscosities for both models were very close, with notable accuracy at temperatures above 310 K.
Research on sea-level rise's impact on freshwater mussels reveals that high salt concentrations can be toxic to young mussels. The study provides guidance for conservation programs addressing climate-induced sea level rise and saltwater intrusion, affecting numerous vulnerable species.
A new paper suggests that ecology can inspire more powerful, resilient, and socially responsible AI to solve complex problems. Artificial intelligence systems can incorporate greater amounts of data and diverse sources, discovering new interactions and drivers that may not have been considered before.
Researchers analyzed data from the Global Biodiversity Information Facility and found a universal pattern of species abundance distributions, with most species being rare but not extremely rare. The study's findings may help answer Darwin's question about why some species are common while others are rare.
A new study reveals that large national parks can enhance bird diversity inside their borders and boost mammal diversity in nearby unprotected areas by up to 194 per cent.
A study by Cornell University researchers found that current methods for measuring malaria parasite multiplication rates vastly overestimate the actual rates, which has significant implications for vaccine efficacy and understanding of drug resistance.
Researchers analyzed aerial images of seal colonies to study distribution patterns and found harbour seals stay at larger distances from conspecifics than grey seals, suggesting an evolutionary response to respiratory virus susceptibility. This finding provides opportunities to gather more information about pinnipeds in remote regions.
A new study reveals how Aulacopleura, an ancient sea-dwelling trilobite, developed variable mid-section segments to tolerate dips in local oxygen levels. This adaptation allowed the species to thrive despite being preyed upon by larger predators.
Researchers at Florida Atlantic University uncover the finer-scale feeding patterns of the whitespotted eagle ray, revealing a significantly broader diet than previously described, with high proportions of cockles and wedge shells. The study's findings suggest that these rays can play a facilitative role in reducing predation threats f...
Researchers highlight the importance of tropical montane ecosystems and their limited data availability. The study proposes refining models to include socio-ecological diversity, emphasizing the need for a transdisciplinary network to quantify ecosystem services.
A new study by Flinders University researchers suggests that only 1% of dormant pathogens could cause major ecological harm, leading to the loss of host organisms worldwide. The simulations showed that these ancient microbes can survive, evolve, and become dominant in modern ecosystems, posing a substantial danger.
Scientists found that contemporary fires in dry conifer forests are burning hotter and killing more trees than in previous centuries, due to a lack of low-severity fires. Regular management and prescribed fires can help mitigate this trend and restore resilience to these ecosystems.
GOBI overcomes model-free and model-based inference method limitations by introducing an easily testable condition for a general monotonic ODE model to reproduce time-series data. It successfully infers positive and negative regulations in various networks, distinguishing between direct and indirect causation.
A University of Ottawa study reveals that a diverse brain's ecosystem is key to maintaining normal function while responding to changes. This concept is inspired by Charles Darwin's idea that biodiversity is crucial for survival, suggesting cell-to-cell diversity helps prevent failures in brain circuits.
A recent study led by McGill University estimates that the European Union will face significant economic losses due to biological invasions, with costs projected to reach over €142.73 billion by 2040. The study highlights the need for effective management and collaboration to address this threat.
Research found that financial payments by developers to compensate for environmental consequences are insufficient to achieve intended outcomes. Only 0.7 of 13.4 hectares of impacts on koala habitat have been offset through financial payments since 2018, raising concerns about the future of this endangered species.
Researchers used proteomics and small RNA sequencing to analyze 103 human blood plasma samples, identifying 21 proteins and 315 small RNAs associated with aging. Combining protein and miRNA data improved age predictions (R2 = 0.70 ± 0.01), suggesting a broader range of age-related physiological changes.
Researchers at Lancaster University demonstrate the viability of tidal power as a predictable renewable energy source. The creation of a tidal barrage could operate for 120 years or more to meet future demand and storage problems, protecting coastal areas from flooding and sea level rise.
A new study quantified the economic costs of biological invasions in the European Union, revealing substantial knowledge gaps and alarming underestimations. The research projected unreported costs to be potentially 501% higher than currently recorded, reaching a staggering €26.64 billion.
A new biodiversity study shows that even seemingly healthy ecosystems with increasing species numbers may already be on the path to decline and loss of species. The study's findings suggest that species richness is not a reliable metric for monitoring ecosystems, as it can mask negative trends in species extinction.
Farmers' use of birds and bats as part-time collaborators has been found to increase productivity by 54% and boost annual yields by approximately $959 per hectare. This partnership helps mitigate the damage caused by pests such as aphids and mealybugs, ultimately benefiting cacao farmers in northern Peru.
A multidisciplinary team of scientists conducted a comprehensive study to understand the sources and sinks of plastic debris in the Southern North Sea. Local citizen scientists played a crucial role in tracking the distribution pathways of plastic particles, revealing that two-thirds were washed ashore within 25km of their release site.
A new study highlights the importance of knowledge coproduction in addressing complex conservation problems, specifically in California's Central Valley wetlands. The research team successfully integrated stakeholder input and climate scenarios to develop resilient wetland management strategies.
Cancer cells in brain tumors produce lipids at higher rates than surrounding healthy tissue, offering clues for treatment strategies. The study provides insights into the unique biochemical processes fueling cancer growth in the brain.
An international research team has found that tree islands in oil palm plantations can significantly increase biodiversity within five years. This method also does not affect the yield of the plants. The study was conducted on an industrial-scale plantation in Indonesia and showed promising results for ecological restoration.
Current measures to protect grasslands in the Qinghai-Tibetan Plateau are damaging the ecosystem and should be stopped. Small burrowing mammals, like the plateau pika and zokor, play crucial ecological roles in maintaining ecosystem health and biodiversity.
Interactions between gut bacteria may limit antibiotics' effectiveness in treating C. difficile infections, a study suggests. Researchers found that certain bacterial species make the bacterium tolerant to metronidazole and increase its abundance.
Soil microbiology research increasingly relies on big data, with experiments moving from labs to fields. Discrepancies between lab and field studies impact policies due to inconsistent results. Bridging the gap requires interdisciplinary collaboration to improve upscaling of soil microbiology research.
Researchers used an advanced ecosystem model to assess the impacts of winter cover cropping on soil organic carbon accumulation. They found that growing cover crops can increase SOC by 0.33 megagrams per hectare per year and that SOC benefits can be improved through increasing cover crop biomass.
More than 3 million sq km of Asian elephant habitat has been lost in 300 years, with suitable habitats cut by nearly two-thirds. The study suggests that the remaining elephant populations may not have adequate habitat areas, setting up a high potential for conflicts with people living in those areas.
Since 1700, habitats suitable for Asian elephants have decreased by over 64%, resulting in a loss of 3.3 million square kilometers of land. The study suggests that historical land-use patterns and agricultural intensification in South Asia have contributed to this decline.
Researchers developed a suite of tools to assess economic benefits of improving urban stream water quality. The 'ecological production function framework' estimates use and non-use benefits, including increased property values and protected natural resources.
A study at Kyoto University has demonstrated the computational power of ecological networks, providing a new direction for rapidly developing AI technologies. The researchers developed two types of ecological reservoir computing that efficiently process information and can be utilized as a computational resource.
A UH-led research team has developed a cost-effective method for removing harmful chemicals and heavy metals from coastal waters by utilizing native aquatic plants. The system, which includes floating aquatic plants and synthetic mats, can help restore ecological balance and keep communities healthy.
Researchers propose a 'state space' approach to reframe farming planning questions, enabling analytics and machine learning to explore optimal crop combinations and simulate different scenarios. This framework allows farmers to design diverse agricultural landscapes based on natural ecosystems, increasing crop yield and sustainability.
A recent study published in Journal of Animal Ecology has identified disease avoidance strategies in various animal species, including humans. The research provides insights into how emotions like disgust help protect against diseases and has implications for human health and conservation efforts.
Researchers at UToledo developed a new model to estimate the abundance of rare species like invasive grass carp in freshwater ecosystems. The model helps guide management strategies and provides insight into the effectiveness of control efforts.
A study reveals that plant roots are crucial for belowground life in the tropics, supporting decomposition and soil health. Removing living roots decreases animal abundance by 42% in rainforest plots and 30% in plantations.
River temperature is a critical measure of water quality, regulating physical, chemical, and biological processes in flowing waters. Rising temperatures are linked to climate change and human activities, impacting ecosystems, human health, and industries.
A recent study at Baskett Forest found that forests reach an ecosystem wilting point between 2-4 weeks of extreme drought, requiring soaking rainfall to rejuvenate. This concept explains how whole forests respond to drought and is essential for understanding their dynamics under climate change.
Researchers have identified critical areas in northern, northwestern, and western Iran for urgent conservation action. The study used maps of threatened species to pinpoint regions necessary to protect critically endangered species like the Asiatic cheetah and Persian leopard.
Researchers developed BirdFlow, a predictive model that utilizes eBird data and machine learning to forecast migratory patterns. The model was tested on 11 species of North American birds and found to outperform other models in tracking migration flows.