Overview

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.

Full Product Details

Author:   Alex Dumbrell (University of Essex, UK)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
ISBN:  

9780443471902

ISBN 10:   0443471908
Pages:   318
Publication Date:   24 April 2026
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Forthcoming
Availability:   Not yet available  
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

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

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Author Information

Dr Alex Dumbrell works at the School of Biological Sciences, University of Essex, UK.

Tab Content 6

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