Predictive Modeling for Species Protection
( 30 Modules )

Module #1
Introduction to Predictive Modeling for Species Protection
Overview of the importance of predictive modeling in species protection and conservation, course objectives, and expected outcomes

Module #2
Species Protection Fundamentals
Understanding species extinction risks, conservation biology principles, and international agreements on species protection

Module #3
Predictive Modeling Overview
Introduction to predictive modeling concepts, types of models, and common applications in ecology and conservation

Module #4
Data Collecting and Preprocessing for Species Protection
Importance of data quality, sources, and preprocessing techniques for species occurrence data, habitat data, and environmental data

Module #5
Introduction to R Programming for Predictive Modeling
Basics of R programming, data manipulation, and visualization for predictive modeling in species protection

Module #6
Species Distribution Modeling (SDM) Fundamentals
Understanding species distribution modeling concepts, Correlative SDMs, and Machine Learning SDMs

Module #7
Correlative Species Distribution Models (SDMs)
Building and evaluating correlative SDMs using methods such as GLMs, GAMs, and Random Forest

Module #8
Machine Learning Species Distribution Models (SDMs)
Building and evaluating machine learning SDMs using methods such as MaxEnt, SVM, and Neural Networks

Module #9
Species Distribution Model Evaluation and Validation
Evaluating and validating SDMs using metrics such as AUC, sensitivity, and specificity

Module #10
Habitat Suitability Modeling
Understanding habitat suitability modeling concepts, applications, and methods such as Ecological Niche Factor Analysis (ENFA)

Module #11
Predicting Species Extinction Risks
Using predictive models to estimate extinction risks, application of IUCN Red List criteria, and conservation implications

Module #12
Climate Change and Species Protection
Impact of climate change on species distribution, projecting climate-driven range shifts, and climate-informed conservation planning

Module #13
Conservation Planning using Predictive Models
Applying predictive models in conservation planning, reserve design, and habitat connectivity analysis

Module #14
Uncertainty and Sensitivity Analysis in Predictive Modeling
Understanding and addressing uncertainty in predictive models, sensitivity analysis, and model ensembles

Module #15
Predictive Modeling for Invasive Species Management
Applying predictive models to identify invasion hotspots, predict invasion risk, and develop management strategies

Module #16
Case Studies in Predictive Modeling for Species Protection
Real-world examples of predictive modeling applications in species protection, including success stories and challenges

Module #17
Predictive Modeling for Human-Wildlife Conflict Mitigation
Using predictive models to understand and mitigate human-wildlife conflict, including predicting conflict hotspots and identifying effective solutions

Module #18
Communicating Predictive Modeling Results for Conservation
Effective communication of predictive modeling results to stakeholders, policymakers, and the general public

Module #19
Advanced Topics in Predictive Modeling for Species Protection
Exploring advanced topics such as multi-species modeling, Spatially-Explicit Models, and integration of predictive models with other conservation tools

Module #20
Predictive Modeling for Urban Ecology and Biodiversity Conservation
Applying predictive models to understand and conserve urban biodiversity, including predicting urban species distribution and habitat fragmentation

Module #21
Predictive Modeling for Freshwater Ecosystems and Aquatic Species
Using predictive models to understand and conserve freshwater ecosystems and aquatic species, including predicting habitat quality and species distribution

Module #22
Predictive Modeling for Marine Ecosystems and Species
Applying predictive models to understand and conserve marine ecosystems and species, including predicting habitat quality and species distribution

Module #23
Species Protection Policy and Management
Understanding policy and management frameworks for species protection, including international agreements and national legislation

Module #24
Collaborative Conservation and Stakeholder Engagement
Importance of collaborative conservation, stakeholder engagement, and community-based conservation in species protection

Module #25
Ethical Considerations in Predictive Modeling for Species Protection
Exploring ethical considerations in predictive modeling, including data privacy, model transparency, and potential biases

Module #26
Future Directions in Predictive Modeling for Species Protection
Emerging trends and opportunities in predictive modeling for species protection, including the role of AI, citizen science, and open data

Module #27
Hands-on Exercise:Building a Species Distribution Model
Guided hands-on exercise to build and evaluate a species distribution model using R and associated libraries

Module #28
Hands-on Exercise:Habitat Suitability Modeling
Guided hands-on exercise to build and evaluate a habitat suitability model using R and associated libraries

Module #29
Group Project:Applying Predictive Modeling to a Real-World Conservation Problem
Group project to apply predictive modeling to a real-world conservation problem, including data collection, model building, and presentation of results

Module #30
Course Wrap-Up & Conclusion
Planning next steps in Predictive Modeling for Species Protection career

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Predictive Modeling for Species Protection ( 30 Modules )

Predictive Modeling for Species Protection
( 30 Modules )