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Indigo Advances Ecological Research | Erin Mills Town Centre
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Advances in Ecological Research, Volume 74 brings together cutting-edge developments, current trends, and emerging concepts in the field of ecology. The book provides an in-depth exploration of fundamental and applied ecological research, offering insights into the complex interactions between organisms and their environments. Specific chapters cover how Conformal Prediction quantifies the uncertainty of Species Distribution Models, How do Earth Observation Foundation Models Help to Predict Multi-Trophic Soil Biodiversity, Evaluating Multi-Sensor Foundation Models as a Strategy for Leveraging Earth Observation Data in Biodiversity Modeling, Exploring Remote Sensing Contributions to High-Resolution IAS Distribution Modeling Using ML/DL Techniques, and much more.
Additional sections cover Predicting Ecological Invasions, The carrying capacity of a fragmented landscape depends on the home-range size of a species, Quantitative tools that form an approach that allows social impacts of ecosystem change, Extending genomic prediction from individuals to a population and community, and Full prediction uncertainty quantification: a plea from science and decision-making.
Explores a wide range of topics in ecology, including ecosystem functioning, biodiversity, environmental changes, and conservation strategies
Presents cutting-edge research and recent advances in ecological science, providing readers with up-to-date knowledge and emerging trends
Integrates insights from related fields such as environmental science, evolutionary biology, climate science, and conservation biology
Advances in Ecological Research, Volume 74 brings together cutting-edge developments, current trends, and emerging concepts in the field of ecology. The book provides an in-depth exploration of fundamental and applied ecological research, offering insights into the complex interactions between organisms and their environments. Specific chapters cover how Conformal Prediction quantifies the uncertainty of Species Distribution Models, How do Earth Observation Foundation Models Help to Predict Multi-Trophic Soil Biodiversity, Evaluating Multi-Sensor Foundation Models as a Strategy for Leveraging Earth Observation Data in Biodiversity Modeling, Exploring Remote Sensing Contributions to High-Resolution IAS Distribution Modeling Using ML/DL Techniques, and much more.
Additional sections cover Predicting Ecological Invasions, The carrying capacity of a fragmented landscape depends on the home-range size of a species, Quantitative tools that form an approach that allows social impacts of ecosystem change, Extending genomic prediction from individuals to a population and community, and Full prediction uncertainty quantification: a plea from science and decision-making.
Explores a wide range of topics in ecology, including ecosystem functioning, biodiversity, environmental changes, and conservation strategies
Presents cutting-edge research and recent advances in ecological science, providing readers with up-to-date knowledge and emerging trends
Integrates insights from related fields such as environmental science, evolutionary biology, climate science, and conservation biology
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