Articles tagged with Ecological Modeling
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.
A new paper by UConn researchers introduces a multifaceted perspective on land change, considering location, time, target, metric, and agent aspects. The framework emphasizes the need for consistent language and multi-source data fusion to accurately describe observations.
Research by University of Queensland finds that the Environment Protection and Biodiversity Conservation Act is not effectively protecting threatened habitats. Projects deemed 'significant' or 'not significant' have resulted in similar habitat destruction, highlighting inconsistencies in referral decision-making processes.
The article highlights that forests are not just threatened by agricultural expansion, but also by the consumption of non-agricultural products and international trade. Intact forests play a crucial role in regulating climate and biodiversity, and their loss can have significant indirect impacts on carbon emissions and biodiversity loss.
A team of researchers from Xi'an Jiaotong-Liverpool University and other institutions has identified a flexible and user-friendly model for predicting flood frequency in a changing environment. The fractional polynomial-based regression method is more effective than existing models, which often fail to account for factors like climate ...
A study by the University of Illinois Agroecosystem Sustainability Center provides new insights for quantifying cropland carbon budgets and soil carbon credits. Researchers found that high-accuracy SOC concentration measurements are needed to quantify a cropland carbon budget, but current publicly available soil datasets are sufficient...
A University of Rhode Island professor's study has developed a macromolecular model of phytoplankton, which could have significant implications for climate research. The model predicts the variation in C:N:P ratios throughout the ocean, providing new insights into how phytoplankton respond to changing environmental conditions.
A new mathematical model has found a clear trend towards mutualism in ecological interactions, with most relationships eventually leading to a mutually beneficial partnership. The researchers used adaptive dynamics and classical models of population dynamics to study the transitions between different ecological relationships.
Researchers mapped strategies to minimize impact of mining on rare plants, finding that protecting 30% of threatened species can ensure long-term survival. The model optimizes energy project placement to balance space use and minimize harm.
Research reveals that microphytobenthos, a key component of the Dutch Wadden Sea food web, obtains its nutrients primarily from detrital nitrogen in pore water. This finding provides new insights into the ecosystem's dynamics and highlights the importance of considering all nutrient pools in models predicting future changes.
A Rutgers researcher has created a machine learning model that can estimate arsenic contamination in private wells without sampling the water. The model identifies geological bedrock type and soil type as primary contributors to higher arsenic concentrations, highlighting the need for targeted well testing programs.
Researchers from the California Academy of Sciences developed a new modeling approach to understand how extinct species like the Steller's sea cow impact ecosystems. The study found that including the
A new study developed two approaches to assess species vulnerability, considering natural fluctuations and predictability in ecosystems. These methods outperform traditional ranking systems, which often focus on population size or body size.
Researchers from University of Göttingen found that plant water stress, not termites, causes Namibia's fairy circles. The grasses within the circles died immediately after rainfall due to strong depletion of water, while surrounding grasses thrived.
Researchers developed the first model for the western Baltic Sea, which includes top predators, fish species, and their interactions. Ecosystem-based management increases catches of cod and herring while improving food web resilience to climate change, and potential carbon sequestration is more than three times greater.
Researchers at Duke University developed a new AI message decoder based on simulated bacterial growth patterns, forming corresponding letters. The method uses specific initial conditions to create unique patterns for each letter, offering a novel encryption approach.
A study has mapped streamflow alterations across the continental US, using measurements from over 7,000 stream gauges. The dataset provides valuable data for determining societal impacts on ecosystems and setting environmental flow standards.
A study published in Science found that more than one-tenth of the world's terrestrial genetic diversity may already be lost due to climate change and habitat destruction. This could have serious implications for species' ability to adapt to climate change, highlighting the need for urgent conservation efforts.
Researchers used computer models to link red squirrel sightings to environmental parameters, identifying areas with missing ecological corridors. The study aims to improve urban planning by understanding the challenges faced by urban squirrels due to habitat fragmentation and climate change.
A new study by Flinders University researchers highlights the critical link between environmental degradation and pandemics, emphasizing the need for urgent ecosystem restoration efforts to aid in COVID-19 recovery. The study suggests that up to 95% of land on Earth will be degraded by 2050 if effective measures are not taken.
Researchers found that non-growing season nitrous oxide emissions in the Midwest can account for up to 60% of annual emissions. Environmental factors such as precipitation and temperature drive these emissions, with more intensive freezing causing increased emissions in the southeastern Midwest.
A new study highlights five critical challenges in wildfire research, including promoting coordinated research and drawing on diverse sources of knowledge. The authors emphasize the need for a more proactive fire research agenda to create safe communities and ecosystems.
A research team used game theory to analyze cooperation in networks and found that networks with a high level of cooperation can emerge if individuals take a clear-cut position against free riders. The study also showed that if contributors leave an environment too quickly, it leads to a lower level of cooperation.
A team of researchers from Boston University and EcoHealth Alliance will develop models to predict disease emergence and spread. They aim to identify location hotspots for pathogen emergence and determine the most effective pandemic mitigation strategies using data from COVID-19, H1N1 flu, and Ebola Virus Disease.
Researchers investigate how foraging adaptations affect Arctic charr resilience to climate change. The team aims to develop a framework linking genetic and malleable components of feeding trait diversity to population demography, habitat, and eco-evolutionary potential.
A new methodology predicts soil recovery after wildfires by analyzing the impact of microbes and nutrients on soil regeneration. The study found that including uncommon soil microbiota was critical to predicting water quality and terrestrial ecosystem recovery.
Research waste in ecology is estimated to be between 82-89% due to issues with study design, publication, and result reporting. The largest loss occurs at the beginning of the research lifecycle, highlighting the need for urgent action to optimize scientific processes.
Scientists argue that system thinking can better understand the world's rapidly changing dynamics, considering both social and ecological factors. The article highlights the importance of this approach in addressing climate change-induced natural disasters, such as increased frequency and danger of wildfires.
A recent study by Xi'an Jiaotong-Liverpool University provides a method to help farmers and policymakers decide whether organic farming is beneficial for the environment. The researchers analyzed international studies to find a threshold where organic farming's biodiversity gain outweighs its land requirements.
Researchers have found that tumor cells co-exist with normal tissue in a complex, heterogeneous mixture, leading to unexpected effects on therapeutic resistance. The study suggests that understanding these ecological interactions could lead to novel treatment strategies and improved patient outcomes.
A University of Washington study found that Pacific salmon in larger groups have lower predation risk, but may trade safety for food. The researchers analyzed historical data on fish catches and predator wounds to estimate group size and predation risk, revealing the benefits and costs of schooling in marine fish.
A study found that imidacloprid, a widely used pesticide in Brazil, is toxic to native bees and can cause alarming levels of poisoning. Researchers are calling for specific protocols and more effective regulation to protect these vital pollinators.
A new study suggests that sustainable irrigation can boost crop productivity to feed 1.4 billion more people, reducing environmental impacts and clearing natural land for agriculture. However, climate change may complicate this calculus, requiring additional research on water management strategies.
A University of Otago-led study used genomic analysis to track the origins of kelp found on southeastern New Zealand beaches, revealing connections to South Georgia and Marion Island. Kelp rafts carry a variety of organisms across vast distances, influencing ecosystem dynamics.
The polyphagous shot hole borer is estimated to cause $18.45 billion in economic losses over the next ten years if left unchecked. Urban areas are particularly vulnerable due to stressed trees and non-native species.
Researchers propose an ecological model to understand how individual responses to dietary fiber vary across gut microbiomes. The study found that specific bacteria grow in response to inulin and drive changes in gut health.
Researchers at McGill University used fatty acid signature analysis to reconstruct killer whale diets, finding they mainly feed on harp and hooded seals. The study provides insights into how killer whales may disrupt Arctic food webs and contribute to climate change.
A new modeling framework suggests that some microbial ecosystems are more easily understood through coarse-graining, which involves omitting details. This approach could help biologists study microbes in their natural environments, rather than isolating them in a petri dish.
A major new study is investigating the effects of beavers on the Arctic landscape, other animals, and local Indigenous communities. The project aims to understand the complex interlinkages between ecological and sociological changes as beaver numbers increase.
Researchers found that jellyfish's stinging cells evolved by repurposing a neuron inherited from a pre-cnidarian ancestor. This discovery provides insights into the emergence of new cell types and the evolution of biodiversity, suggesting that co-option of ancestral cell types was an important source for new cell functions.
Researchers have discovered that soil microbes use distinct metabolic pathways to metabolize carbon in different soils, challenging long-held assumptions in the field of soil ecology. The study suggests that these differences may be related to protection against oxygen stress in certain environments.
Researchers discovered zones of bubbling methane flux in Laptev and East Siberian Seas, contributing to climate warming in the Arctic. The study suggests that thawing permafrost and warming waters are releasing methane from hydrates into the atmosphere.
Scientists have developed Community Distribution Models (CDMs) to predict upland vegetation communities from published data at a national scale. The approach uses publicly available and open-access NVC records and environmental data, with models based on random forests being the most accurate.
The Ecological Society of America will hold its 107th Annual Meeting in Montreal from August 14-19, 2022. This year's meeting combines resources and interests of the ESA and Canadian Society for Ecology and Evolution, focusing on theme "A Change Is Gonna Come" exploring global environmental and evolutionary change.
Researchers at the University of Georgia developed a model to prioritize land conservation in the Upper Chattahoochee Watershed, which provides drinking water to 95 cities. The model considers ecosystem services like water, carbon, and habitat, and favors higher connectivity among parcels of land.
The Bird Language Diversity app provides a 'birds eye view' of vital information on bird species globally. Researchers found that 1587 species have 10 languages or more spoken within their distributions, highlighting the importance of overcoming language barriers for effective conservation measures.
Research suggests that expansion of vegetation in the Northern Hemisphere led to a significant warming of global temperatures between 6,000 and 9,000 years ago. The findings align with paleoclimate proxy records and challenge previous models' limitations in accounting for vegetation changes.
Researchers from Arizona State University developed a study to balance biodiversity goals with limited economic resources in Colombia. The team created a prioritization map that targets conservation actions towards regions where ecological benefits are high and economic impacts are low.
Human activity on Hainan Island is causing changes in the body shapes and diets of tropical birds, resulting in biotic homogenisation. Despite efforts to protect biodiversity, the island's unique ecosystem is being affected by large-scale economic and land-use changes.
Scientists have developed a method using DNA from blood meals of blood-sucking leeches to survey vertebrate species in large areas. The study, led by Harvard researchers, identified 86 vertebrate species in the reserve, including near-threatened and threatened species.
A University of Illinois-led study reveals a significant decline in tropical forest bird populations, with 70% of understory bird species experiencing a drop of half or more since 1977. The findings highlight the importance of long-term studies and the need to address the lack of data on tropical bird populations.
Researchers at UBCO's School of Engineering have developed a new, faster method for analyzing toxic waste materials using fluorescence spectroscopy and convolutional neural networks. This method can detect key toxins such as naphthenic acids in oil sands samples, providing a low-cost alternative to current methods.
A study using machine learning identifies climatic thresholds driving vegetation distribution, highlighting the importance of extreme climate conditions for savannas and deciduous forests. The findings provide valuable insights for improving process-based vegetation models and their coupling with Earth System Models.
Bighorn sheep use a combination of past experience and visual information about habitat quality to make informed migratory decisions. The research found that these perception-informed decisions allow the species to better adapt to changing environmental conditions, increasing their chances of survival.
Scientists are creating a global audio collection of aquatic life to monitor changing marine life and identify new species. The GLUBS platform uses ocean hydrophones, AI, and citizen science to analyze soundscapes and track biodiversity on reefs and other ocean habitats.
Mathematicians at the University of Leicester have developed a new mathematical model that could greatly increase the efficiency of pest control. The model uses field data and computer simulations to predict the distribution of slugs in arable fields, accounting for individual creature movements.
A new Stanford University study reveals that communities near the West's wildland-urban interface are vulnerable to wildfires due to drought-sensitive ecosystems. The research identifies 18 'double-hazard' zones where plant-water sensitivity and atmospheric dryness create high wildfire risks.