Three-dimensional habitat structure and landscape genetics: a step forward in estimating functional connectivity

Area of Science:

• Landscape genetics
• Spatial ecology
• Conservation biology

Background:

• Estimating ecological network functionality requires accurate connectivity assessments among fragmented habitats.
• Current methods often lack detailed, landscape-level data on local habitat structure, limiting connectivity estimates.
• Habitat fragmentation and homogenization pose significant challenges to biodiversity conservation.

Purpose of the Study:

• To evaluate the effectiveness of high-fidelity habitat structure maps derived from Light Detection and Ranging (LiDAR) data in improving functional connectivity estimates.
• To compare connectivity estimates derived from LiDAR data versus conventional land cover data.
• To assess the genetic connectivity of Capercaillie (Tetrao urogallus) populations in relation to landscape resistance.

Main Methods:

• Employed a landscape genetics approach using pairwise genetic distances from 128 Capercaillie genotypes.
• Calculated least-cost path distances at multiple scales using both conventional land cover data and high-fidelity LiDAR-derived habitat structure maps.
• Utilized linear mixed effects models to relate genetic distances to least-cost path distances.

Main Results:

• LiDAR-derived habitat structure maps significantly improved functional connectivity estimates compared to conventional land cover data.
• Linear mixed effects models showed higher β values (0.558–0.758) when using LiDAR data, compared to land cover data (0.372–0.495).
• This indicates that detailed 3D habitat structure is a critical factor influencing animal movement and genetic connectivity.

Conclusions:

• High-fidelity habitat structure data, particularly from LiDAR, is essential for accurate functional connectivity and ecological network assessments.
• The findings highlight the benefit of incorporating detailed 3D habitat information for conservation planning in fragmented landscapes.
• Conservation strategies for species affected by habitat fragmentation can be enhanced by utilizing advanced remote sensing data.