@article{RN711,
   author = {Rickebusch, Sophie and Lischke, Heike and Bugmann, Harald and Guisan, Antoine and Zimmermann, Niklaus E.},
   title = {Understanding the low-temperature limitations to forest growth through calibration of a forest dynamics model with tree-ring data},
   journal = {Forest Ecology and Management},
   volume = {246},
   number = {2-3},
   pages = {251-263},
   abstract = {The sensitivity of altitudinal and latitudinal tree-line ecotones to climate change, particularly that of temperature, has received much attention. To improve our understanding of the factors affecting tree-line position, we used the spatially explicit dynamic forest model TreeMig. Although well-suited because of its landscape dynamics functions, TreeMig features a parabolic temperature growth response curve, which has recently been questioned, and the species parameters are not specifically calibrated for cold temperatures. Our main goals were to improve the theoretical basis of the temperature growth response curve in the model and develop a method for deriving that curve's parameters from tree-ring data. We replaced the parabola with an asymptotic curve, calibrated for the main species at the subalpine (Swiss Alps: Pinus cembra, Larix decidua, Picea abies) and boreal (Fennoscandia: Pinus sylvestris, Betula pubescens, P. abies) tree-lines. After fitting new parameters, the growth curve matched observed tree-ring widths better. For the subalpine species, the minimum degree-day sum allowing growth (kDDMin) was lowered by around 100 degree-days; in the case of Larix, the maximum potential ring-width was increased to 5.19 mm. At the boreal tree-line, the kDDMin for P. sylvestris was lowered by 210 degree-days and its maximum ring-width increased to 2.943 mm; for Betula (new in the model) kDDMin was set to 325 degree-days and the maximum ring-width to 2.51 mm; the values from the only boreal sample site for Picea were similar to the subalpine ones, so the same parameters were used. However, adjusting the growth response alone did not improve the model's output concerning species’ distributions and their relative importance at tree-line. Minimum winter temperature (MinWiT, mean of the coldest winter month), which controls seedling establishment in TreeMig, proved more important for determining distribution. Picea, P. sylvestris and Betula did not previously have minimum winter temperature limits, so these values were set to the 95th percentile of each species’ coldest MinWiT site (respectively −7, −11, −13). In a case study for the Alps, the original and newly calibrated versions of TreeMig were compared with biomass data from the National Forest Inventory (NFI). Both models gave similar, reasonably realistic results. In conclusion, this method of deriving temperature responses from tree-rings works well. However, regeneration and its underlying factors seem more important for controlling species’ distributions than previously thought. More research on regeneration ecology, especially at the upper limit of forests, is needed to improve predictions of tree-line responses to climate change further.},
   keywords = {TreeMig
Degree-day sum
Gap model
Gap dynamics
Minimum winter temperature
Tree-line
Growth
Establishment
Regeneration},
   ISSN = {0378-1127},
   DOI = {10.1016/j.foreco.2007.04.030},
   url = {https://doi.org/10.1016/j.foreco.2007.04.030},
   year = {2007},
   type = {Journal Article}
}

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E."],"bibdata":{"bibtype":"article","type":"Journal Article","author":[{"propositions":[],"lastnames":["Rickebusch"],"firstnames":["Sophie"],"suffixes":[]},{"propositions":[],"lastnames":["Lischke"],"firstnames":["Heike"],"suffixes":[]},{"propositions":[],"lastnames":["Bugmann"],"firstnames":["Harald"],"suffixes":[]},{"propositions":[],"lastnames":["Guisan"],"firstnames":["Antoine"],"suffixes":[]},{"propositions":[],"lastnames":["Zimmermann"],"firstnames":["Niklaus","E."],"suffixes":[]}],"title":"Understanding the low-temperature limitations to forest growth through calibration of a forest dynamics model with tree-ring data","journal":"Forest Ecology and Management","volume":"246","number":"2-3","pages":"251-263","abstract":"The sensitivity of altitudinal and latitudinal tree-line ecotones to climate change, particularly that of temperature, has received much attention. To improve our understanding of the factors affecting tree-line position, we used the spatially explicit dynamic forest model TreeMig. Although well-suited because of its landscape dynamics functions, TreeMig features a parabolic temperature growth response curve, which has recently been questioned, and the species parameters are not specifically calibrated for cold temperatures. Our main goals were to improve the theoretical basis of the temperature growth response curve in the model and develop a method for deriving that curve's parameters from tree-ring data. We replaced the parabola with an asymptotic curve, calibrated for the main species at the subalpine (Swiss Alps: Pinus cembra, Larix decidua, Picea abies) and boreal (Fennoscandia: Pinus sylvestris, Betula pubescens, P. abies) tree-lines. After fitting new parameters, the growth curve matched observed tree-ring widths better. For the subalpine species, the minimum degree-day sum allowing growth (kDDMin) was lowered by around 100 degree-days; in the case of Larix, the maximum potential ring-width was increased to 5.19 mm. At the boreal tree-line, the kDDMin for P. sylvestris was lowered by 210 degree-days and its maximum ring-width increased to 2.943 mm; for Betula (new in the model) kDDMin was set to 325 degree-days and the maximum ring-width to 2.51 mm; the values from the only boreal sample site for Picea were similar to the subalpine ones, so the same parameters were used. However, adjusting the growth response alone did not improve the model's output concerning species’ distributions and their relative importance at tree-line. Minimum winter temperature (MinWiT, mean of the coldest winter month), which controls seedling establishment in TreeMig, proved more important for determining distribution. Picea, P. sylvestris and Betula did not previously have minimum winter temperature limits, so these values were set to the 95th percentile of each species’ coldest MinWiT site (respectively −7, −11, −13). In a case study for the Alps, the original and newly calibrated versions of TreeMig were compared with biomass data from the National Forest Inventory (NFI). Both models gave similar, reasonably realistic results. In conclusion, this method of deriving temperature responses from tree-rings works well. However, regeneration and its underlying factors seem more important for controlling species’ distributions than previously thought. More research on regeneration ecology, especially at the upper limit of forests, is needed to improve predictions of tree-line responses to climate change further.","keywords":"TreeMig Degree-day sum Gap model Gap dynamics Minimum winter temperature Tree-line Growth Establishment Regeneration","issn":"0378-1127","doi":"10.1016/j.foreco.2007.04.030","url":"https://doi.org/10.1016/j.foreco.2007.04.030","year":"2007","bibtex":"@article{RN711,\r\n author = {Rickebusch, Sophie and Lischke, Heike and Bugmann, Harald and Guisan, Antoine and Zimmermann, Niklaus E.},\r\n title = {Understanding the low-temperature limitations to forest growth through calibration of a forest dynamics model with tree-ring data},\r\n journal = {Forest Ecology and Management},\r\n volume = {246},\r\n number = {2-3},\r\n pages = {251-263},\r\n abstract = {The sensitivity of altitudinal and latitudinal tree-line ecotones to climate change, particularly that of temperature, has received much attention. To improve our understanding of the factors affecting tree-line position, we used the spatially explicit dynamic forest model TreeMig. Although well-suited because of its landscape dynamics functions, TreeMig features a parabolic temperature growth response curve, which has recently been questioned, and the species parameters are not specifically calibrated for cold temperatures. Our main goals were to improve the theoretical basis of the temperature growth response curve in the model and develop a method for deriving that curve's parameters from tree-ring data. We replaced the parabola with an asymptotic curve, calibrated for the main species at the subalpine (Swiss Alps: Pinus cembra, Larix decidua, Picea abies) and boreal (Fennoscandia: Pinus sylvestris, Betula pubescens, P. abies) tree-lines. After fitting new parameters, the growth curve matched observed tree-ring widths better. For the subalpine species, the minimum degree-day sum allowing growth (kDDMin) was lowered by around 100 degree-days; in the case of Larix, the maximum potential ring-width was increased to 5.19 mm. At the boreal tree-line, the kDDMin for P. sylvestris was lowered by 210 degree-days and its maximum ring-width increased to 2.943 mm; for Betula (new in the model) kDDMin was set to 325 degree-days and the maximum ring-width to 2.51 mm; the values from the only boreal sample site for Picea were similar to the subalpine ones, so the same parameters were used. However, adjusting the growth response alone did not improve the model's output concerning species’ distributions and their relative importance at tree-line. Minimum winter temperature (MinWiT, mean of the coldest winter month), which controls seedling establishment in TreeMig, proved more important for determining distribution. Picea, P. sylvestris and Betula did not previously have minimum winter temperature limits, so these values were set to the 95th percentile of each species’ coldest MinWiT site (respectively −7, −11, −13). In a case study for the Alps, the original and newly calibrated versions of TreeMig were compared with biomass data from the National Forest Inventory (NFI). Both models gave similar, reasonably realistic results. In conclusion, this method of deriving temperature responses from tree-rings works well. However, regeneration and its underlying factors seem more important for controlling species’ distributions than previously thought. 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