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Climate Change - Research and Technology for Adaptation and Mitigation 2011
DOI: 10.5772/24914
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Linking Climate Change and Forest Ecophysiology to Project Future Trends in Tree Growth: A Review of Forest Models

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Cited by 10 publications
(9 citation statements)
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“…A large number of forest models have been developed over the last 30 years, and in the latest years the hybrid models combinin g field date and process simulatio n are becoming increasingly popular (see Kimmins et al, 2010 ;Lo et al, 2011b , for detailed reviews). Among them, the model FORECAST (Kimmins et al, 1999 ) stands out.…”
Section: Introductionmentioning
confidence: 99%
“…A large number of forest models have been developed over the last 30 years, and in the latest years the hybrid models combinin g field date and process simulatio n are becoming increasingly popular (see Kimmins et al, 2010 ;Lo et al, 2011b , for detailed reviews). Among them, the model FORECAST (Kimmins et al, 1999 ) stands out.…”
Section: Introductionmentioning
confidence: 99%
“…Prediction of successional pathways requires an understanding of what it means for one plant species to establish and grow in the shade of another (Weber et al 2014). Basing such predictions only or even mainly on light, as is the case in many process-based forest models (see reviews by Lo et al 2011Lo et al , 2015, and references therein) can lead to erroneous conclusions, if other factors are not accounted for (Kimmins et al 2008, Dybzinski et al 2015). Carbon allocation shifts in response to soil resource availability (Franklin et al 2012, Farrior et al 2013 can have significant effects on interspecific competition and successional pathways (Weber et al 2014).…”
Section: Success Of Both Natural Regeneration and Planting In Partialmentioning
confidence: 99%
“…Such tools could be ecologically-based ecosystem-level forest models that can simulate large time or spatial scales by creating "virtual experiments" depicting the most likely future paths that stand development can follow under future changing conditions. There is a wealth of forest models scientifically designed and tested to simulate the interactions between trees, soils, and the environment and the use of one or another depends mostly on the model user's objectives (see the reviews by Lo et al, 2011;Lo et al, 2015;Blanco et al, 2015, and references cited therein) [17][18][19].…”
Section: Introductionmentioning
confidence: 99%
“…For models to be adequate decision-support tools, they have to be as simple as possible but as complex as necessary to explain the observed phenomena. Predicting changes in soils, trees, and lesser vegetation at scales meaningful for forest management involves greater complexity than is included in empirical non-process based models [17,18,25].…”
Section: Introductionmentioning
confidence: 99%