Application of the forest ecosystem model EFIMOD 2 to jack pine along the Boreal Forest Transect case study

Cindy H. Shaw, J. Bhatti, Oleg G. Chertov, Marina Nadporozhskaya, Alexandr Sergeevich Komarov, S. Bykhovets, A. Mikhailov, M. Apps

Результат исследований: Научные публикации в периодических изданияхстатьярецензирование

21 Цитирования (Scopus)


Sustainability of forest ecosystems and climate change are two critical issues for boreal forest ecosystems in Canada that require an understanding of the links and balance between productivity, soil processes and their interaction with natural and anth ropogenic disturbances. Forest ecosystem models can be used to understand and predict boreal forest ecosystem dynamics. EFIMOD 2 is an individual tree model of the forest-soil ecosystem capable of modelling nitrogen feedback to productivity in response to changes in soil moisture and temperature. It has been successfully applied in Europe, but has not been calibrated for any forest ecosystem in Canada. The objective of this study was to parameterize and validate EFIMOD 2 for jack pine in Canada. Simulated and measured results agreed for changes in tree biomass carbon and soil carbon and nitrogen with increasing stand age and across a climatic gradient from the southern to northern limits of the boreal forest. Preliminary results from scenario testing indicate that EFIMOD 2 can be successfully applied to predict the impacts of forest management practices and climate change in the absence of natural disturbances on jack pine in the boreal forest of Canada. Model development is underway to represent the effects of natural disturbances.
Язык оригиналаанглийский
Страницы (с-по)171-185
Число страниц15
ЖурналCanadian Journal of Soil Science
Номер выпуска2
СостояниеОпубликовано - 2006

Предметные области Scopus

  • Земледелие и биологические науки (все)


Подробные сведения о темах исследования «Application of the forest ecosystem model EFIMOD 2 to jack pine along the Boreal Forest Transect case study». Вместе они формируют уникальный семантический отпечаток (fingerprint).