Applying BROOK90 to model the Water Balance of the spruce forest in Hyltemossa, Sweden
(2024) In Student thesis series INES NGEK01 20241Dept of Physical Geography and Ecosystem Science
- Abstract
- This thesis evaluated the performance of the water balance model BROOK90 for an even aged spruce forest in southern Sweden. The water balance of the forest was modelled from 1950 onwards to find periods and patterns of drought. Moreover, the impact of climate change as well as thinning as a strategy to reduce drought stress on the water balance were evaluated. Hyltemossa, a managed Norway spruce forest in southern Sweden and site of a combined ecosystem and atmospheric measurement station by ICOS was chosen as the study site. Using measurement data from ICOS the BROOK90 model was parameterized and validated for the period of 2018 to 2024. The model was then applied with input data from nearby SMHI stations for the period of 1950 to 2024... (More)
- This thesis evaluated the performance of the water balance model BROOK90 for an even aged spruce forest in southern Sweden. The water balance of the forest was modelled from 1950 onwards to find periods and patterns of drought. Moreover, the impact of climate change as well as thinning as a strategy to reduce drought stress on the water balance were evaluated. Hyltemossa, a managed Norway spruce forest in southern Sweden and site of a combined ecosystem and atmospheric measurement station by ICOS was chosen as the study site. Using measurement data from ICOS the BROOK90 model was parameterized and validated for the period of 2018 to 2024. The model was then applied with input data from nearby SMHI stations for the period of 1950 to 2024 and drought periods were identified based on the transpiration index and number of dry days. Lastly, stand management, assuming changes in stand density as well as a climate change scenario were applied, by changing the LAI or input data. The results show a robust performance from the BROOK90 model, with the modelled evapotranspiration rate (ET) and soil water content (SWC) not differing significantly from the measurements (R² of 0.74 and around 0.97 respectively). Although the model performance varied seasonally, the ET rate and SWC were on average overestimated by the model. Furthermore, the years 1951 to 53, 1959, 1972, 1975 to 76, 2016, 2018, 2020 and 2022 were identified as years with high water stress in the spruce forest, with the most pronounced droughts in 1959 and 2018. Thinning (25% decrease in stand density) was modelled to reduce the water stress at the site by up to 5% and shorten the dry period by about 23 days, with the effect being more pronounced for non-drought years. In contrast, the assumed climate change induced temperature increase by 2°C was shown to intensify and prolong water stress by around 29 days. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9166766
- author
- Noack, Nele LU
- supervisor
-
- Thomas Holst LU
- organization
- course
- NGEK01 20241
- year
- 2024
- type
- M2 - Bachelor Degree
- subject
- publication/series
- Student thesis series INES
- report number
- 648
- language
- English
- id
- 9166766
- date added to LUP
- 2024-06-23 17:27:20
- date last changed
- 2024-06-23 17:27:20
@misc{9166766,
abstract = {{This thesis evaluated the performance of the water balance model BROOK90 for an even aged spruce forest in southern Sweden. The water balance of the forest was modelled from 1950 onwards to find periods and patterns of drought. Moreover, the impact of climate change as well as thinning as a strategy to reduce drought stress on the water balance were evaluated. Hyltemossa, a managed Norway spruce forest in southern Sweden and site of a combined ecosystem and atmospheric measurement station by ICOS was chosen as the study site. Using measurement data from ICOS the BROOK90 model was parameterized and validated for the period of 2018 to 2024. The model was then applied with input data from nearby SMHI stations for the period of 1950 to 2024 and drought periods were identified based on the transpiration index and number of dry days. Lastly, stand management, assuming changes in stand density as well as a climate change scenario were applied, by changing the LAI or input data. The results show a robust performance from the BROOK90 model, with the modelled evapotranspiration rate (ET) and soil water content (SWC) not differing significantly from the measurements (R² of 0.74 and around 0.97 respectively). Although the model performance varied seasonally, the ET rate and SWC were on average overestimated by the model. Furthermore, the years 1951 to 53, 1959, 1972, 1975 to 76, 2016, 2018, 2020 and 2022 were identified as years with high water stress in the spruce forest, with the most pronounced droughts in 1959 and 2018. Thinning (25% decrease in stand density) was modelled to reduce the water stress at the site by up to 5% and shorten the dry period by about 23 days, with the effect being more pronounced for non-drought years. In contrast, the assumed climate change induced temperature increase by 2°C was shown to intensify and prolong water stress by around 29 days.}},
author = {{Noack, Nele}},
language = {{eng}},
note = {{Student Paper}},
series = {{Student thesis series INES}},
title = {{Applying BROOK90 to model the Water Balance of the spruce forest in Hyltemossa, Sweden}},
year = {{2024}},
}