Articles tagged with Ecological Modeling
Fruit eating birds play a vital role in forest ecosystems by consuming, excreting, and spreading seeds to allow trees to grow and function. The study found that highly fragmented landscapes restrict bird movement, reducing carbon recovery potential by up to 38 percent.
Kiruba Krishnaswamy's project aims to tackle hidden hunger by developing a circular, culturally appropriate food system model. The research focuses on micronutrients and community-based solutions to address malnutrition and obesity, with the ultimate goal of reducing chronic hunger.
A recent study on orchid bees in the Brazilian Amazon found that deforestation significantly impacted bee populations, with some species dwindling in just 10-17 years. The research, conducted in the 1990s, also revealed new species and highlights the importance of protecting rainforests.
Researchers at FAU's Harbor Branch Oceanographic Institute will survey Sargassum inundation sites using drones and remotely operated vehicles, then conduct aerial images and on-the-ground morphometrics. They aim to test the viability of harvesting Sargassum without harming marine animals.
A new study from the University of Illinois recommends redistributing soybean testing sites to better represent the growing environment and improve crop resilience. The researchers analyzed long-term climate data and records of soybean trials to develop two new sets of maps that would help breeders strategize test site placement.
Researchers from the Institute of Industrial Science, The University of Tokyo, demonstrated a new method for visualizing vegetation gradients in hilly terrain. This analysis showed that 'hillslope-impacted vegetation' is a common global phenomenon, widely distributed across various climates and regions.
Researchers at Tel Aviv University developed a novel therapeutic strategy using existing medications to inhibit bone metastasis in breast cancer patients. The combination of drugs improved survival rates and reduced bone metastases in animal models and human tissue samples.
A new model integrating soil microbes and large perennial grasses into the DayCent framework improves its representation of ecosystem dynamics. The updated model includes a live microbial biomass pool and dead microbial biomass pool to simulate carbon storage in soils, enhancing the evaluation of bioenergy crop sustainability.
A new study suggests that species diversity promotes ecosystem stability, contradicting contemporary ecological theory. The research found that sublinear growth and competitive coexistence are key factors in maintaining community interactions.
Virginia Tech researchers have received a five-year National Science Foundation grant to develop an open-source automated forecasting system for lakes. The system will enable real-time data collection and publishing, allowing researchers to predict water quality in lakes around the globe.
A new study reveals that marine heat waves disrupt the ocean food web in the northeast Pacific Ocean, shifting energy and impacting predators and prey. Gelatinous zooplankton thrive during heat waves, drawing energy out of the ecosystem and potentially affecting fish and marine mammals.
Researchers at Singapore University of Technology and Design have discovered how to produce sustainable colors using beetles that live in the dark. By understanding how these beetles' exoskeletons reflect light, scientists can create environmentally friendly materials for various industries. This breakthrough has significant implicatio...
A new study proposes three measures to improve the EU's response to illegal wildlife trade, including creating a database of all species trade and establishing regulations to prohibit the import of illegally captured specimens. The proposals aim to transform the EU into a model of environmental protection concerning wildlife trade.
Agricultural activities in Lombardy have a significant impact on PM2.5 concentration, comparable to other known sources of pollution. The study used innovative GEOAI models to analyze the relationship between land use and air pollution, providing new insights into agricultural pollutants.
Researchers from Shibaura Institute of Technology develop new methodology to accurately simulate soil behavior in rigid state, leveraging MSP method and Bingham fluid biviscosity model. The study highlights the impact of parameters on simulation accuracy and computational costs.
A new simulation model examines the conditions under which institutions emerge and persist, highlighting the critical role of competition and learning from out-groups. The study builds on Elinor Ostrom's design principles for successful management, shifting focus to understanding how collective property rights arise and spread.
Researchers have introduced an optimization technique that accelerates Bayesian inference without requiring extensive user effort. This new automated method achieves more accurate results faster than another popular approach and offers reliable uncertainty estimates to help scientists understand when to trust their predictions.
Researchers at MSU and Carnegie Science have developed a model connecting microscopic plankton relationships to predictably affect food webs on an ecosystem level. This new model could deepen understanding of nature's laws and create opportunities in ecosystem management.
A new study by MIT researchers reveals that global deforestation is a previously overlooked driver of human-made mercury emissions, with the Amazon rainforest playing a crucial role in mitigating this issue. The study estimates that curbing Amazon deforestation could reduce mercury pollution by 30%, highlighting the need for worldwide ...
Researchers developed a novel approach to measuring community personality and found that people in like-minded communities tend to be happier, healthier, and more highly achieving. Communities differ significantly in terms of personality traits, with some counties having high proportions of open-minded or conscientious individuals.
A study reveals that sea otter reintroduction has slowed creekbank erosion by up to 90% and restored marsh stability despite rising sea levels and pollution. The researchers suggest that this phenomenon can have far-reaching benefits for ecosystems worldwide, overturning the traditional bottom-up paradigm of coastal geomorphology.
A Brazilian study developed a method using AI to identify crop-livestock integration areas from satellite images. The approach can benefit agriculture by optimizing land use, diversifying farming activities, and encouraging sustainable practices.
A spatial model predicts pesticide exposure in bumblebees, explaining nearly 75% of the spatial variation. The model uses data on pesticide application and crop characteristics, but not flower attractiveness or chemical persistence.
A European study links agricultural activities with West Nile virus emergence and spread, as well as urbanization and migratory bird patterns. The study highlights the need for enhanced surveillance in Central Europe.
A study in PLOS ONE suggests that Galápagos penguins may accumulate microplastics at a high rate within their food web, with the excretion rate playing a key role. The research uses modeling to simulate microplastic movement through the Galápagos penguin ecosystem and highlights the potential for biomagnification across trophic levels.
Researchers found rapid microplastic accumulation and contamination across prey organisms, with Galápagos penguins showing the highest level. The study highlights the urgent need to reduce plastic waste and protect vulnerable ecosystems.
A new UAV-based model accurately quantifies the cumulative shading capacity in maize-soybean intercropping systems, revealing the effects of canopy height difference, latitude, and planting direction on shading. The study optimizes intercropping patterns to enhance crop growth and light competition.
Researchers at Lancaster University found that tidal range schemes can protect estuaries and coastal areas from sea level rise by harnessing high tides and maintaining low tide levels. These barrages can provide jobs, reliable power, and reduced costs while conserving habitats.
Researchers have identified internationally significant rock art sites in Arnhem Land that were intentionally selected for their critical vantage points. The Flinders University research team used innovative methods to model the environmental conditions 15,000-28,000 years ago, shedding new light on the locations and roles of these sites.
Scientists used stable hydrogen isotope data from 871 dead birds at California wind and solar facilities to understand the geographic origin of affected birds. The study found that most birds killed at solar facilities were nonlocal and varied among species, with local birds making up nearly half of those killed at wind facilities.
A research project led by Charité aims to better understand the impact of biodiversity loss on zoonosis risks. The team will investigate native forests and degraded reforested areas in Europe and Central America to identify land use changes and species circulation.
A new study reveals that humans have driven the extinction of 1,430 bird species, with many becoming extinct before written records. The research suggests that major human-driven extinctions occurred in the 14th century and ninth century BC, with ongoing threats including climate change and invasive species.
A new study identifies the best regions for rewilding European bison, pinpointing areas where conservation efforts can be most effective. The research suggests that understanding the species' decline is crucial to ensuring long-term protection and recovery.
A new study published in Geophysical Research Letters sheds light on methane emissions from Arctic lakes and wetlands. Researchers found that small, unmapped lakes contribute only about 3% of the region's methane emissions, significantly reducing the cumulative amount previously thought to be emitted.
Researchers found that Ukrainian-controlled territories gained forest area despite military conflict, while Russian-controlled territories experienced significant forest loss. The study highlights the impact of modern warfare on environmental sustainability and conservation in Ukraine's Emerald Network.
A new study by Prof. Ehud Meron and colleagues proposes that pairing spatial patterning and phenotypic changes is the missing link to understanding fairy circles. The researchers found that combining plant-level phenotypic changes with population-level spatial patterning can result in resilient ecosystem responses to water stress.
A long-term study found that increased phosphorus availability and salinity are key drivers of change in the lagoon, favoring invasive green macroalga Caulerpa over native seagrass. Reducing wastewater infrastructure and stormwater runoff can help promote seagrass recovery.
Researchers from Xi'an Jiaotong-Liverpool University developed a system to assess water quality challenges in Suzhou, China. The study found that the city's water capacity has increased since 2001 due to effective water management measures.
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.
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.
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.
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.
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.
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.