Paul Caplat
Forskare
Predicting future stability of ecosystem functioning under climate change
Författare
Summary, in English
To maintain food security under global change, we need to consider the stability of ecosystem functioning into the future, particularly in resource production landscapes such as agricultural pasture. With ongoing climate change, extreme climatic events are predicted to become more frequent and severe globally, impacting crop production. The whole process of farming will become more uncertain, from choice of crop and crop productivity to the timing of the windows of opportunity for management decisions. Future agricultural policies, therefore, should not only consider changes in grassland production, but also its future stability. We use a case study of agricultural pastures on the island of Ireland to project different components of ecosystem stability (resistance, recovery time and recovery rate) to 2050 and 2080 under different future climate scenarios: a peak and decline scenario; and a continued emissions scenario. We show that future climate change will have substantial effects on both the future resistance and the recovery of ecosystem functioning following environmental disturbances, but the spatial pattern of effect sizes is not the same for these two measures of stability. National level analyses and agricultural policies, therefore, are likely to ignore regional variation in future change. From this, we encourage the translation of stability-based constructs, as well as maximum yield considerations, into future agricultural policy at the regional level.
Avdelning/ar
- Centrum för miljö- och klimatvetenskap (CEC)
- BECC: Biodiversity and Ecosystem services in a Changing Climate
Publiceringsår
2021-10-15
Språk
Engelska
Publikation/Tidskrift/Serie
Agriculture, Ecosystems and Environment
Volym
320
Dokumenttyp
Artikel i tidskrift
Förlag
Elsevier
Ämne
- Climate Research
- Environmental Sciences related to Agriculture and Land-use
Nyckelord
- Climate change
- Ecosystem functioning
- Food security
- Pasture
- Productivity
- Remote sensing
- Stability
Status
Published
ISBN/ISSN/Övrigt
- ISSN: 0167-8809