CitedEvidence
User Settings
Article

Potential changes in tree habitat under Illinois climate change. Chapter 16

0

TL;DRAbstract

One of the many applications of biological field data is their inclusion in predictive models. Such models are now being used to address questions facing society such as how will forest vegetation respond to a warming climate? What tree species are likely to be affected most? Models have been developed to help scientists predict how species might respond under a variety of future climatic scenarios. This chapter introduces some of the ways these predictions are being made and what the future may hold for Illinois trees.

Chat with Paper

AI Agents for this Paper

One of the many applications of biological field data is their inclusion in predictive models. Such models are now being used to address questions facing society such as how will forest vegetation respond to a warming climate? What tree species are likely to be affected most? Models have been developed to help scientists predict how species might respond under a variety of future climatic scenarios. This chapter introduces some of the ways these predictions are being made and what the future may hold for Illinois trees.

Keywords

Variety (cybernetics)Climate changeTree (set theory)Vegetation (pathology)Field (mathematics)EcologyHabitatEnvironmental resource management

Chat

Click to start Chat