A multi-species, process based vegetation simulation module to simulate successional forest regrowth after forest disturbance in daily time step hydrological transport models. (11th July 2008)

• Record Type: Journal Article
• Authors: MacDonald, J.D.; Kiniry, J.R.; Putz, G.; Prepas, E.E.
• Is Part Of: Journal of environmental engineering and science. Volume 7(2008)Supplement 1
• Page Start: 127
• Page End: 143
• Publication Date: 2008-07-11
• Subjects: environment -- SWAT -- ALMANAC -- boreal forest -- forest growth model -- evapotranspiration -- watershed hydrology; SWAT -- ALMANAC -- forêt boréale -- modèle de croissance forestière -- évapotranspiration -- hydrologie des bassins versants; Environmental engineering -- Periodicals; Sanitary engineering -- Periodicals; Environmental engineering -- Canada -- Periodicals; Environnement, Technique de l' -- Périodiques; Technique sanitaire -- Périodiques; Environnement, Technique de l' -- Canada -- Périodiques; Environmental engineering; Sanitary engineering; Canada; Electronic journals; Computer network resources; Periodicals; 628.05
• DOI: 10.1139/S08-008
• Languages: English
• ISSNs: 1496-2551

Abstract

Abstract : To simulate the effects of tree harvest on boreal forest catchment hydrology, the vegetation growth model within the soil and water assessment tool (SWAT) must reproduce the successional stages of forest reestablishment. The agricultural land management alternatives with numerical assessment criteria (ALMANAC), a multi-species growth model, was modified to simulate vegetation regeneration on forest sites after harvest (ALMANACBF ). The model uses similar principles of vegetation growth as the current vegetation model in SWAT, and input requirements are consistent with typical forest inventory databases. This article describes the algorithms integrated into the ALMANACBF model to simulate successional stages in forest growth, provides initial estimates of parameters required to simulate multi-species forest succession, and presents examples of the type of variability in vegetation growth scenarios that these algorithms can reproduce. The model structure and modelling approach shows promise as a tool for foresters to evaluate how patterns and timing of forest management activities influence forest watershed hydrology.