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Can we set a global threshold age to define mature forests?
Martin, Philip; Jung, Martin; Brearley, Francis Q; Ribbons, Relena R; Lines, Emily R; Jacob, Aerin L.
Afiliação
  • Martin P; Centre for Conservation Ecology and Environmental Science, Bournemouth University , Bournemouth , United Kingdom.
  • Jung M; School of Life Science, University of Sussex , Brighton , United Kingdom.
  • Brearley FQ; School of Science and the Environment, Manchester Metropolitan University , Manchester , United Kingdom.
  • Ribbons RR; School of Environment, Natural Resources and Geography, Bangor University, Bangor, United Kingdom; Department of Geosciences and Natural Resource Management, University of Copenhagen, Frederiksberg, Denmark.
  • Lines ER; School of Geography, Queen Mary University of London , London , United Kingdom.
  • Jacob AL; School of Environmental Studies, University of Victoria , Victoria , Canada.
PeerJ ; 4: e1595, 2016.
Article em En | MEDLINE | ID: mdl-26870607
Globally, mature forests appear to be increasing in biomass density (BD). There is disagreement whether these increases are the result of increases in atmospheric CO2 concentrations or a legacy effect of previous land-use. Recently, it was suggested that a threshold of 450 years should be used to define mature forests and that many forests increasing in BD may be younger than this. However, the study making these suggestions failed to account for the interactions between forest age and climate. Here we revisit the issue to identify: (1) how climate and forest age control global forest BD and (2) whether we can set a threshold age for mature forests. Using data from previously published studies we modelled the impacts of forest age and climate on BD using linear mixed effects models. We examined the potential biases in the dataset by comparing how representative it was of global mature forests in terms of its distribution, the climate space it occupied, and the ages of the forests used. BD increased with forest age, mean annual temperature and annual precipitation. Importantly, the effect of forest age increased with increasing temperature, but the effect of precipitation decreased with increasing temperatures. The dataset was biased towards northern hemisphere forests in relatively dry, cold climates. The dataset was also clearly biased towards forests <250 years of age. Our analysis suggests that there is not a single threshold age for forest maturity. Since climate interacts with forest age to determine BD, a threshold age at which they reach equilibrium can only be determined locally. We caution against using BD as the only determinant of forest maturity since this ignores forest biodiversity and tree size structure which may take longer to recover. Future research should address the utility and cost-effectiveness of different methods for determining whether forests should be classified as mature.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: PeerJ Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: PeerJ Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Reino Unido