Dealing With the Complexity of Effective Population Size in Conservation Practice

Area of Science:

• Evolutionary biology
• Conservation genetics
• Genomics

Background:

• Effective population size (Ne) is vital for species' long-term survival and conservation.
• Molecular Ne estimation methods often rely on assumptions rarely met in fragmented populations facing environmental changes.
• Violations of these assumptions can lead to biased and inaccurate Ne estimates, hindering conservation efforts.

Purpose of the Study:

• To operationalize Ne estimation knowledge for conservation practitioners and policymakers.
• To evaluate the sensitivity of Ne estimation methods to assumption violations using real-world datasets.
• To develop data analysis strategies for biodiversity monitoring and conservation.

Main Methods:

• International workshop (COST Action G-BiKE) focused on Ne estimation challenges.
• Identification and evaluation of datasets to test Ne estimation method sensitivity.
• Development of data analysis strategies for conservation applications.

Main Results:

• The workshop identified key challenges in applying Ne estimation methods in conservation.
• Strategies were explored to mitigate biases caused by violated assumptions in Ne estimation.
• The report synthesizes approaches and findings to bridge the gap between research and practice.

Conclusions:

• Accurate Ne estimation is critical for effective species conservation and biodiversity management.
• Addressing assumption violations in Ne estimation methods is essential for reliable conservation outcomes.
• This work provides practical insights for applying genomic data in conservation decision-making.