2012
DOI: 10.1016/j.ecolmodel.2012.04.003
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Incorporating canopy gap-induced growth responses into spatially implicit growth model projections

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Cited by 10 publications
(6 citation statements)
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“…Ultimately, FVS was chosen due to its (1) wide applicability and technical accessibility to a variety of audiences (i.e., growth and mortality models can be calibrated to specific geographic areas of the United States and twenty geographically-specific FVS variants exist), (2) ease at which it allows users to test alternative hypotheses related to different treatments and disturbances, and assess future forest conditions, and (3) long history of applications in forest resource assessment and planning (Crookston and Dixon, 2005). The FVS is not without its well-documented limitations, such as weaknesses in predicting crown and canopy fuel characteristics (e.g., Cruz and Alexander, 2010;Keyser and Smith, 2010), shortcomings when simulating responses to canopy gap-related disturbances (e.g., Arseneault and Saunders, 2012), inability to use spatially-explicit information or spatially-explicit predictions (e.g., Chivoiu et al, 2006), and general inaccuracies and imperfections in the underlying growth model (e.g., Ex and Smith, 2014;Petrova et al, 2014;Dickinson et al, 2019). Ultimately we selected FVS as the best choice of underlying model that adequately generalized forest stand development and its response to silvicultural treatments, as well as provided robust estimates that could be used to assess the risk of state transitions and predict the impact of management on an ecosystem's response to future disturbances.…”
Section: Discussionmentioning
confidence: 99%
“…Ultimately, FVS was chosen due to its (1) wide applicability and technical accessibility to a variety of audiences (i.e., growth and mortality models can be calibrated to specific geographic areas of the United States and twenty geographically-specific FVS variants exist), (2) ease at which it allows users to test alternative hypotheses related to different treatments and disturbances, and assess future forest conditions, and (3) long history of applications in forest resource assessment and planning (Crookston and Dixon, 2005). The FVS is not without its well-documented limitations, such as weaknesses in predicting crown and canopy fuel characteristics (e.g., Cruz and Alexander, 2010;Keyser and Smith, 2010), shortcomings when simulating responses to canopy gap-related disturbances (e.g., Arseneault and Saunders, 2012), inability to use spatially-explicit information or spatially-explicit predictions (e.g., Chivoiu et al, 2006), and general inaccuracies and imperfections in the underlying growth model (e.g., Ex and Smith, 2014;Petrova et al, 2014;Dickinson et al, 2019). Ultimately we selected FVS as the best choice of underlying model that adequately generalized forest stand development and its response to silvicultural treatments, as well as provided robust estimates that could be used to assess the risk of state transitions and predict the impact of management on an ecosystem's response to future disturbances.…”
Section: Discussionmentioning
confidence: 99%
“…For example, we assumed that there was a homogeneous increase in growth within all plots within one tree height (i.e., 66 ft) of a harvest gap; in reality, these increases would vary with factors such as gap size, tree species, and shade tolerance (Menard et al 2002, Coates et al 2003, Banal et al 2007. We also assumed, because of some underlying weaknesses of the FVS-NE model (Ray et al 2009, Arseneault andSaunders 2012), that regeneration occurred subsequent to harvest, when in fact advanced regeneration is ubiquitous in these forests (Brissette 1996). Furthermore, we did not simulate natural disturbance events, other than senescence, within the FVS projections and, therefore, made the assumption that natural disturbance agents affected all stands equally.…”
Section: Assumptions and Validitymentioning
confidence: 99%
“…This discrepancy arises from two sources. First, there are known weaknesses with modeling mortality in many eastern FVS variants, particularly in stands with shadetolerant species that experience growth stagnation (Arseneault and Saunders 2012). Improving these mortality functions is an active area of research for many of the variants (FVS-Southern [SN]: Radtke et al 2012; FVS-NE/-Acadian [ACD]: Weiskittel et al 2012) as more longer-term data become available from Forest Inventory and Analysis plots (Shaw 2012).…”
Section: Assumptions and Validitymentioning
confidence: 99%
“…Additionally, the structure and spatial complexity of canopy plants are expected to affect understory species abundance and richness by inducing shifts in resource availability and competitive relationships (Berger & Puettmann, 2000), and the vegetation cover and richness increased with size of the canopy openings (Trentini et al, 2017;Wang & Liu, 2011). Therefore, thinning is adopted as a common management practice to produce highly heterogeneous stands in even-aged plantations (Arseneault & Saunders, 2012).…”
mentioning
confidence: 99%