Introduction to Ecological Forecasting

Yiqi Luo

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

In this rapidly changing world, improving the capacity to forecast future dynamics of ecological systems and their services is essential for better stewardship of the earth system. This chapter introduces ecological forecasting, the next frontier of research in ecology. Using weather forecasting as an analog, this chapter discusses four elements for ecological forecasting. The four elements are: predictability of the land carbon cycle; observations to constrain forecasting; data assimilation to integrate data with models; and a workflow system to automate ecological forecasting. This chapter also describes applications of an ecological forecasting system to a warming and CO2 experiment in northern Minnesota and a precipitation mean and variance experiment in New Mexico.

Original languageEnglish (US)
Title of host publicationLand Carbon Cycle Modeling
Subtitle of host publicationMatrix Approach, Data Assimilation, Ecological Forecasting, and Machine Learning, Second Edition
PublisherCRC Press
Pages187-191
Number of pages5
ISBN (Electronic)9781040026298
ISBN (Print)9781032698496
DOIs
StatePublished - Jan 1 2024
Externally publishedYes

ASJC Scopus subject areas

  • General Business, Management and Accounting
  • General Agricultural and Biological Sciences
  • General Earth and Planetary Sciences
  • General Environmental Science
  • General Engineering

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