Habitat functionality: Integrating environmental and geographic space in niche modeling for conservation planning

Area of Science:

• Ecology
• Conservation Biology
• Spatial Planning

Background:

• Niche modeling traditionally focuses on environmental suitability (E-space), neglecting species movement and geographic connectivity (G-space).
• Integrating geographic space into niche modeling has been limited by a lack of theoretical frameworks.
• Existing metapopulation approaches assess habitat connectivity but lack formal integration with niche modeling.

Purpose of the Study:

• To propose and demonstrate the "functional habitat" framework, which integrates environmental suitability (E-space) with functional connectivity in geographic space (G-space).
• To enhance spatial conservation planning by incorporating movement constraints and habitat fragmentation.
• To provide a robust method for explaining species distributions beyond local conditions.

Main Methods:

• Developed the functional habitat framework using network theory to link E-space suitability with G-space connectivity.
• Applied metapopulation ecology principles to assess connected suitable habitats.
• Utilized empirical data, including GPS tracking and population monitoring of European wild mountain reindeer (Rangifer t. tarandus).

Main Results:

• Functional habitat framework significantly outperforms traditional suitability models in explaining species distribution.
• The framework effectively integrates biotic, abiotic, and movement constraints.
• Demonstrated improved spatial conservation planning by avoiding overemphasis on isolated, locally suitable habitats.

Conclusions:

• The functional habitat framework offers a novel and comprehensive approach to species distribution modeling.
• This framework formally integrates niche modeling with network theory for enhanced conservation applications.
• The approach provides a powerful tool for understanding and planning for species in the face of habitat loss and fragmentation.