Working toward integrated models of alpine plant distribution

Area of Science:

• Ecology
• Botany
• Environmental Science

Background:

• Species distribution models (SDMs) are crucial for forecasting alpine plant responses to global change.
• Correlative SDMs, while common, have limitations in alpine regions due to microhabitats and geomorphic disturbances.
• Alpine environments feature unique scale-dependent drivers influencing species niches.

Purpose of the Study:

• To address the shortcomings of current correlative SDMs for alpine plants.
• To propose a conceptual framework for an integrated modeling approach.
• To provide a methodological foundation for predicting alpine plant distribution more accurately.

Main Methods:

• Reviewing existing literature on alpine plant distribution modeling.
• Developing a conceptual framework categorizing key ecological processes.
• Proposing a methodological approach for integrated modeling.

Main Results:

• Identified limitations of correlative SDMs in alpine ecosystems.
• Proposed a four-category framework: multi-scalar abiotic drivers, gradient-dependent species interactions, dispersal, and disturbance responses.
• Outlined a path towards a comprehensive, integrated modeling framework.

Conclusions:

• An integrated modeling framework is necessary for accurate alpine plant distribution predictions.
• The proposed conceptual and methodological frameworks offer a step towards such a model.
• This work provides a foundation for future research in alpine plant ecology and conservation.