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Advances in Ecological Research, Volume 74 [Kõva köide]

Series edited by (University of Essex, UK)
  • Formaat: Hardback, 222 pages, kõrgus x laius: 229x152 mm
  • Sari: Advances in Ecological Research
  • Ilmumisaeg: 24-Apr-2026
  • Kirjastus: Academic Press Inc
  • ISBN-10: 0443471908
  • ISBN-13: 9780443471902
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Advances in Ecological Research, Volume 74
  • Formaat: Hardback, 222 pages, kõrgus x laius: 229x152 mm
  • Sari: Advances in Ecological Research
  • Ilmumisaeg: 24-Apr-2026
  • Kirjastus: Academic Press Inc
  • ISBN-10: 0443471908
  • ISBN-13: 9780443471902
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.
1. Conformal Prediction quantifies the uncertainty of Species
Distribution Models
Timothée Poisot
2. How do Earth Observation Foundation Models Help to Predict Multi-Trophic
Soil Biodiversity
Selene Cerna, Wilfried Thuiller, Sara Si-Moussi and Vincent Miele
3. Evaluating Multi-Sensor Foundation Models as a Strategy for Leveraging
Earth Observation Data in Biodiversity Modeling
Wilfried Thuiller
4. Exploring Remote Sensing Contributions to High-Resolution IAS Distribution
Modeling Using ML/DL Techniques
Wilfried Thuiller
5. Predicting Ecological Invasions
Davide Martinetti, Sylvain Poggi, Samuel Soubeyrand and Leyli Borner
6. The carrying capacity of a fragmented landscape depends on the home-range
size of a species
Henrique Pereira and Gretchen C. Daily
7. Quantitative tools that form an approach that allows social impacts of
ecosystem change
Peter Manning
8. Extending genomic prediction from individuals to a population and
community
Yasuhiro Sato and Iqra Akram
9. TBD
Nurai Galiana
10. Full prediction uncertainty quantification: a plea from science and
decision making
Carsten Friederich Dormann, Yannek Käber and Florian Hartig
Dr Alex Dumbrell works at the School of Biological Sciences, University of Essex, UK.