Background: Trends in forest cover and land use intensity
Increasing global population and expanding land use mean that an ever greater percentage of human needs for wood products are being met by managed forests (Foley et al., 2005). Currently, about 7% of world’s forests are plantations and 57% are secondary forests recovering from anthropogenic disturbance (FAO, 2010). From 2000 to 2005 the rate of increase in the area of planted forests was 2% yr-1 and is accelerating (FAO, 2009), whereas total forest decreased at a rate of about 6% per decade. A recent analysis of Landsat TM data series concluded that forest use is intensifying in time, with 30% of the forestland in the southeastern US having been harvested and re-grown between 2000 and 2012 (Hansen et al., 2013). This is consistent with the typical rotation lengths in the region (discussed below), and an estimate that over 50% of the world’s industrial plantations are in the SE-US (Allen et al., 2005). While the exact interplay between factors effecting forest cover change vary by region, and can respond to both local development and global economic forces (Drummond and Loveland, 2010), the trends described above are likely to continue unless the valuation of forest products and services changes dramatically.
As the primary metric of a forest’s value has been its merchantable productivity, plantation forestry has long selected species and genotypes to maximize this one trait. For the most intensively studied species, like loblolly pine (Pinus taeda), it has been estimated that a typical plantation is about 3-5 times more productive than a natural stand, and that growth gains of up to 20-fold can be achieved in intensive culture and outside the species’ natural range (Cubbage et al., 2007; Ryan et al., 2010). Fox and coworkers (Fox et al., 2007a) estimated that, on average, the productivity of commercial P. taeda plantations is more than 4-fold higher than of natural P. taeda stands, with planting, site preparation, competition control, fertilization and genetic improvement contribute 13%, 10%, 13%, 17% and 23% of the total productivity, respectively. The productivity eucalypts in Brazil has nearly doubled over the past 20 years, owing to intensive management techniques (Goncalves et al., 2013). However, in global databases the management effects are confounded with temperature (Litton et al., 2007), and it remains unclear, whether or how the contribution of forests to global C cycling may change with their transition from natural to managed state (Piao et al., 2009; Stinson et al., 2011).
Of the explicit management-related effects, the increased frequency of disturbance makes for a very dynamic and rapidly changing biogeochemical exchange, to the point where age-related variability may be the predominant source of spatial variation (Desai et al., 2008), which on the global scale explains more than 90% of the variability in net ecosystem productivity (NEP; Pregitzer and Euskirchen, 2004). There are significant changes in forest structural and functional traits as related to age (Law et al., 2001a; Law et al., 2001b; 2006; Noormets et al., 2007), which have been recognized as having far greater influence on forest productivity and CO2 exchange than climate (King et al., 1999; Pregitzer and Euskirchen, 2004; Magnani et al., 2007). However, it is not only productivity that is altered during the harvesting and management cycle. Long-term accumulation/sequestration of carbon in the ecosystem is determined by the magnitude and types of input (which is part of the management strategy), and the magnitude and pathway of losses, which in turn depend on various C stabilization mechanisms. The allocation of carbon to the production of different organs changes dramatically during stand development, with greater allocation belowground early in the development (Genet et al., 2010). Second, the stimulation of respiratory losses following a harvest is well documented, and results from a number of causes, including (i) disturbance of soil (Diochon and Kellman, 2008; Diochon et al., 2009; Diochon and Kellman, 2009), (ii) production of large amount of dead biomass (Harmon et al., 1986), (iii) change in the stoichiometry of carbon pools (Harmon et al., 2011), and (iv) change in microclimate (Chen et al., 1993; Noormets et al., 2007). These changes have both short- and long-term consequences, as they affect both the pool sizes, and fluxes of carbon between these pools. However, the decomposition of harvest residues sustains both tree growth and soil properties (Laclau et al., 2010; Versini et al., 2013) and thus contributes to maintaining ecosystem C stocks (Huang et al., 2013). As none of these effects are included in the global land surface models, their estimates of allometric proportions between different C pools are often inconsistent with observations (Wolf et al., 2011a and references therein), particularly in the young stands, and the allocation patterns may be outside the spread of data (Malhi et al., 2011). Although the process-level understanding of carbon partitioning has made strides in the past decade (section: Soil carbon dynamics), a cohesive modeling framework that would tie them all together is yet to emerge (Franklin et al., 2012). Chen et al. (2014) analyzed a number of global ecosystem models, and traced the allocation submodels back to that used by Friedlingstein et al. (1999), who had acknowledged that the modeled biomass estimates were very sensitive to the allocation algorithms used – with nearly 6-fold range in the root:shoot ratio at low-NPP sites. Thus, it is critical that the dynamic responses in allocation, and disturbance-related changes in different C fluxes be realistically depicted in land surface models.
The goal of the current study is to (i) evaluate available information on the controls of photosynthetic carbon gain, allocation, and respiration in forest ecosystems, the responses of these processes to disturbance and management-related drivers, (ii) develop testable hypothesis about carbon cycling in managed/plantation forests, based on the results of (i), and (iii) explore the usability of existing global databases for answering these questions. The main focus is on on-site carbon sequestration potential, as estimated by expected changes in belowground allocation, rate of decomposition, and mechanisms of stabilization. All trends are viewed in the context of expected global increases in nitrogen deposition (Ndep), [CO2] and temperature.