Sensitivity of an ecosystem model to hydrology and temperature
(2008) In Climatic Change 87(1-2). p.75-89- Abstract
- We tested the sensitivity of a dynamic ecosystem model (LPJ-GUESS) to the representation of soil moisture and soil temperature and to uncertainties in the prediction of precipitation and air temperature. We linked the ecosystem model with an advanced hydrological model (JULES) and used its soil moisture and soil temperature as input into the ecosystem model. We analysed these sensitivities along a latitudinal gradient in northern Russia. Differences in soil temperature and soil moisture had only little influence on the vegetation carbon fluxes, whereas the soil carbon fluxes were very sensitive to the JULES soil estimations. The sensitivity changed with latitude, showing stronger influence in the more northern grid cell. The sensitivity of... (More)
- We tested the sensitivity of a dynamic ecosystem model (LPJ-GUESS) to the representation of soil moisture and soil temperature and to uncertainties in the prediction of precipitation and air temperature. We linked the ecosystem model with an advanced hydrological model (JULES) and used its soil moisture and soil temperature as input into the ecosystem model. We analysed these sensitivities along a latitudinal gradient in northern Russia. Differences in soil temperature and soil moisture had only little influence on the vegetation carbon fluxes, whereas the soil carbon fluxes were very sensitive to the JULES soil estimations. The sensitivity changed with latitude, showing stronger influence in the more northern grid cell. The sensitivity of modelled responses of both soil carbon fluxes and vegetation carbon fluxes to uncertainties in soil temperature were high, as both soil and vegetation carbon fluxes were strongly impacted. In contrast, uncertainties in the estimation of the amount of precipitation had little influence on the soil or vegetation carbon fluxes. The high sensitivity of soil respiration to soil temperature and moisture suggests that we should strive for a better understanding and representation of soil processes in ecosystem models to improve the reliability of predictions of future ecosystem changes. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1196942
- author
- Wolf, Annett LU ; Blyth, Eleanor ; Harding, Richard ; Jacob, Daniela ; Keup-Thiel, Elke ; Goettel, Holger and Callaghan, Terry
- organization
- publishing date
- 2008
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Climatic Change
- volume
- 87
- issue
- 1-2
- pages
- 75 - 89
- publisher
- Springer
- external identifiers
-
- wos:000253347000005
- scopus:39649090543
- ISSN
- 0165-0009
- DOI
- 10.1007/s10584-007-9339-z
- language
- English
- LU publication?
- yes
- id
- f3d66e8f-7f13-471a-9061-d07c6440bbf1 (old id 1196942)
- date added to LUP
- 2016-04-01 11:54:48
- date last changed
- 2022-01-26 20:05:00
@article{f3d66e8f-7f13-471a-9061-d07c6440bbf1,
abstract = {{We tested the sensitivity of a dynamic ecosystem model (LPJ-GUESS) to the representation of soil moisture and soil temperature and to uncertainties in the prediction of precipitation and air temperature. We linked the ecosystem model with an advanced hydrological model (JULES) and used its soil moisture and soil temperature as input into the ecosystem model. We analysed these sensitivities along a latitudinal gradient in northern Russia. Differences in soil temperature and soil moisture had only little influence on the vegetation carbon fluxes, whereas the soil carbon fluxes were very sensitive to the JULES soil estimations. The sensitivity changed with latitude, showing stronger influence in the more northern grid cell. The sensitivity of modelled responses of both soil carbon fluxes and vegetation carbon fluxes to uncertainties in soil temperature were high, as both soil and vegetation carbon fluxes were strongly impacted. In contrast, uncertainties in the estimation of the amount of precipitation had little influence on the soil or vegetation carbon fluxes. The high sensitivity of soil respiration to soil temperature and moisture suggests that we should strive for a better understanding and representation of soil processes in ecosystem models to improve the reliability of predictions of future ecosystem changes.}},
author = {{Wolf, Annett and Blyth, Eleanor and Harding, Richard and Jacob, Daniela and Keup-Thiel, Elke and Goettel, Holger and Callaghan, Terry}},
issn = {{0165-0009}},
language = {{eng}},
number = {{1-2}},
pages = {{75--89}},
publisher = {{Springer}},
series = {{Climatic Change}},
title = {{Sensitivity of an ecosystem model to hydrology and temperature}},
url = {{http://dx.doi.org/10.1007/s10584-007-9339-z}},
doi = {{10.1007/s10584-007-9339-z}},
volume = {{87}},
year = {{2008}},
}