Hello guest
Your basket is empty
We provide two pathways to the content. Thematic (chapters that address certain themes, e.g. cultivation, regardless of crop or animal type) and Product (chapters that relate to a specific type of crop or animal). Choose the most applicable route to find the right collection for you. 
 
Can’t find what you are looking for? Contact us and let us help you build a custom-made collection. 
You are in: All categories > A-Z Chapters > M
Use the Contact form to discuss the best purchasing method for you... Start building your collection today!

Modelling biodiversity in agriculture

Code: 9781786768438
G. R. Squire, James Hutton Institute, UK

Chapter synopsis: Models have been widely used in agricultural science to understand complexity, predict the consequence of change and extend knowledge to new scales. ‘Crop modelling’ began in the 1960s and is now well advanced and applied globally, but is restricted to a few economic species. More recently, modelling has been expanded to cover biota as mediators of ecological process or as end-points for assessment of environmental status. This chapter looks at the range of modelling in biodiversity studies, including individual-based approaches that combine within- and between-species diversity, process-based models operating at plot, field and increasingly at landscape scales, integrated system models that seek optimal trade-offs between biodiversity and economic outputs, and global frameworks that combine the biophysical, economic, social and political forces acting on biodiversity. The chapter concludes with a more practical approach known as multi-attribute decision modelling that can be worked and applied by biodiversity managers and planners.

DOI: 10.19103/AS.2020.0071.05
£25.00
Table of contents 1 Introduction 2 Interaction among individuals for place, space or resource 3 Process-based modelling 4 Trading biophysical, economic, social and political currencies 5 Whole-system multi-attribute decision modelling 6 Future trends and conclusion 7 Where to look for further information 8 References

Also in M