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Canopy structure analysis for estimating forest regeneration dynamics and growth in Nothofagus pumilio forests

Abstract

Introduction

Silviculture systems applied in Nothofagus pumilio forests are based on opening the canopy to stimulate natural regeneration by modifying light and soil moisture. The objective is to evaluate regeneration dynamics of N. pumilio along different forest canopy and solar radiation gradients.

Materials and methods

Regeneration data and seed production were obtained in 98 permanent plots established in old-growth and harvested stands along a crown cover gradient (19–93%). Volumetric soil water content and basal area were also measured, while crown cover and solar radiation transmission were estimated using hemispherical photographs. Sapling height was modeled using plant age, crown cover, and solar radiation transmission of the stands as explanatory variables.

Results

Natural regeneration dynamics were closely related to crown cover values, which determined seed production and the successful establishment and subsequent regeneration growth. Height growth was found to be related to crown cover and solar radiation transmission, where N. pumilio regeneration is optimized at intermediate crown cover levels (45% crown cover, 0.5 effective leaf area index, 26 W m2 global radiation, and 65% percentage of global radiation).

Conclusion

These findings can be used to develop new silvicultural methods or to adjust the current practices to ensure regeneration establishment and maximize height growth at the stand level.

1 Introduction

The temperate forests of southern Chile and Argentina are one of the world’s most pristine wilderness areas (Mittermeier et al. 2002). A forest management strategy that takes account of the natural processes and dynamics of the dominant species in forests is important for conservation. In natural forests, seedlings and saplings of Nothofagus species often survive and grow slowly for long periods of time in the understory (Rebertus and Veblen 1993; Cuevas 2002) and are able to respond quickly after the opening of gaps due to windstorms, ice damage, timber harvesting, or beaver engineering (Rebertus et al. 1997; Heinemann et al. 2000; Martínez Pastur et al. 2000, 2009; Anderson et al. 2009). Following harvesting disturbance, new seedling regeneration is typically vigorous and abundant and has been shown to rapidly outgrow the pre-existing regeneration (Gea et al. 2004).

Several silvicultural systems have been applied in N. pumilio (Poepp. and Endl.) Krasser forests ranging from light selective harvests to clear-cuts (Gea et al. 2004). The most commonly applied methods over the last decade were shelterwood and variable retention cuts (Martínez Pastur et al. 2000, 2009). The silvicultural prescriptions applied under these systems are based on canopy opening to stimulate natural regeneration by modifying soil moisture and light availability at ground level (Heinemann et al. 2000; Lencinas et al. 2007; Martínez Pastur et al. 2007a). To improve these silvicultural practices, it is necessary to understand the basis of inter-specific differences in seedling and sapling growth (Messier et al. 1999), as well as the impact over flowering and seeding processes (Martínez Pastur et al. 2008). The success or failure of different silvicultural systems depends on the functional responses of the species to different environmental conditions, particularly the extent of canopy opening. Therefore, a balance between silvicultural systems that favor timber yield and functional integrity of the forest ecosystem is needed.

In Nothofagus forests, regeneration growth conditions are improved when the canopy is gradually opened. However, while greater canopy opening reduces the effective sheltering function of the remnant overstory (Howard 1973; Nuñez and Bowman 1986), soil moisture and radiation at ground level increase, which have positive or negative influence effects over regeneration. Both factors affect the regeneration growth rate by changing their eco-physiological performance (Lencinas et al. 2007; Martínez Pastur et al. 2007a; Peri et al. 2009). Therefore, in this study, the objectives are: (1) to evaluate the regeneration dynamics of N. pumilio along different forest canopy structures and solar radiation transmissions and (2) based on these results discuss the current silvicultural practices. The tested hypotheses are: (1) change in canopy structure by modifying rainfall and solar radiation interception changed the availability of these resources influencing regeneration establishment and growth and (2) regeneration growth can be predicted using canopy structure related variables and age.

2 Methods

2.1 Study sites, forest structure, and silvicultural practices

Data were obtained from three study sites located in pure N. pumilio stands at San Justo Ranch (54°06′ S, 68°37′ W) harvested to a shelterwood prescription in 1997 (4 ha) and to shelterwood and variable retention prescriptions in 2001 (50 ha), and Los Cerros Ranch (54°18′ S, 67°49′ W) harvested to a variable retention prescription in 2004 (70 ha) in Tierra del Fuego, Argentina. Undisturbed old growth forests located close to the harvested areas (5–10 ha each) were also selected for regeneration sampling. In all of the studied forests, there are a full range of site qualities (SQ) defined according to site index curves at base age 60 years (SI60; for details, see Martínez Pastur et al. 1997, 2009): SQI = SI60 > 19.8 m, SQII = SI60 16.5–19.8 m; SQIII = SI60 13.1–16.5 m; SQIV = SI60 9.8–13.1 m, and SQV = SI60 < 9.8 m. Stands harvested to shelterwood or variable retention prescriptions (Martínez Pastur et al. 2000, 2007b, 2009) generated different canopy openness and microenvironment conditions. In the shelterwood harvests, 30 m2 ha−1 basal area of dominant trees were left evenly distributed throughout the harvested area. In the variable retention harvests, one circular aggregate of 30 m radius was retained per hectare, and evenly dispersed dominant trees were retained at 10–15 m2 ha−1 basal area between the aggregates.

2.2 Regeneration sampling

Data were recorded from 2002 to 2009 in 98 permanent regeneration plots (26 in San Justo Ranch of 1 to 2 m2 each and 72 in Los Cerros Ranch of 1 m2 each) in harvested stands (n = 14 in shelterwoods, n = 22 inside the aggregates, n = 40 in the dispersed retention) and old-growth forests (n = 22) along a crown cover (CC) gradient (19–93%). The plots were randomly located in old growth forests and shelterwoods, while in the variable retention areas, the plots were located along transects laid out from the center of the aggregates to a point within the dispersed retention areas most distant from the aggregates, from the area of highest crown cover to the point of lowest crown cover. Seedling (1-year-old plants) and sapling (2–10-year-old plants) density, height, and age were measured in each plot. Age was determined in the field from annual growth scars in the stems (Cuevas 2002; Gea et al. 2004), while height was measured from the base to the top of the longest extended shoot. Circular 0.25 m2 seed traps were located close to each regeneration plot, and seeds were collected each year after leaf fall during May. The percentage of seeds that fall during the winter season is scarce (ca. 5% according to Martínez Pastur et al. 2008) and was not included in the analysis. Establishment was measured as the number of seedlings, while mortality was determined as the number of dead or missed plants up to 2-year-old saplings in the plots. Regeneration plots that were severely disturbed after the harvesting (e.g., by windthrow) were not included in the analyses.

2.3 Canopy structure and related variables

In the center of each regeneration plot, hemispherical photographs of forest canopy were taken at 1 m above the ground level with an 8-mm fish-eye lens (Sigma, Japan) mounted on a 35-mm digital camera (Nikon, Japan) with a tripod leveling head. Each photograph was orientated with the upper edge towards the magnetic north. Photographs were taken when there was no direct sunshine (Roxburgh and Kelly 1995). Gap Light Analyzer software v.2.0 (Frazer et al. 2001) was used to define: CC; effective leaf area index (LAI) defined as the effective amount of leaf surface area per unit ground area integrated over the zenith angles 0°–60° (Stenburg et al. 1994); global radiation (GR) at understory level as the amount of direct and diffuse radiation transmitted through the canopy along the growing season (November to March), and percentage of global radiation (PGR) as the ratio of GR and the amount of direct and diffuse radiation incident on a horizontal surface located above forest canopy. The following parameters were used: (a) specific projection of the lens; (b) sky-region grid of 20 × 4; (c) constant value of 1367 W m2 for total radiant flux of the sun (Hardya et al. 2004) and 0.6 clear-sky transmission coefficient; and (d) radiation data provided by Universidad de Magallanes (Santana 2006; Santana et al. 2006) and VAG-Ushuaia (Global Atmospheric Watch Station). Finally, basal area (BA; m2 ha−1) and volumetric soil water content (VSW; %) in the first 10 cm forest soil using a MP406 moisture probe (ICT, Australia) were also measured in each regeneration plot.

2.4 Statistical analysis and regeneration height model prediction

We used two-way ANOVA to analyze whether the response variable of seedling density (S; thousand ha−1), number of saplings (S > 1; thousand ha−1), seedling establishment (EST; thousand ha−1), mortality (MOR; thousand ha−1 year−1) and seed production (SP; million ha−1 year−1) differed between CC (<40%, 40–60%, 60–80%, >80%) and years after harvesting (1–2, 3–4, 5–6, >7 years). Complementary one-way ANOVA was done using the same CC levels to analyze LAI, GR, PGR, BA, and VSW. A post hoc Tukey’s test was used for all mean comparisons (p < 0.05).

A model to predict average sapling height was fitted, according to their age along CC, LAI, GR, and PGR gradients. Data of 14,024 sapling measurements (height and age) were obtained from the regeneration plots. Only regeneration established after the harvesting was used for the analysis. Equation 1 was fitted by nonlinear regression technique. Adjusted r 2 (r 2-adj.), standard error of estimation (SEE), and mean absolute error (MAE) were used to evaluate model fitness. The model was assumed to be:

$$ H = a\,{A^b}\left( {c + d\,X + e\,{X^2}} \right) $$
(Eq. 1)

where H = average sapling height (centimeters), A = sapling age (years), X is CC (%), LAI, GR (W m2) or PGR (%), and ae = adjusted parameters.

Statistical analyses were carried out by using the Statgraphics Plus 5.1 package (Statistical Graphics Corp, 1994–2000).

3 Results

3.1 Silvicultural treatments characterization

Old-growth forests had a CC of 88.5 ± 1.9% (average ± standard deviation), LAI of 2.5 ± 0.2, GR of 6.1 ± 0.9 W m2, PGR of 15.3 ± 2.3%, BA of 90.7 ± 17.3 m2 ha−1, and VSW of 19.7 ± 8.1%. The variable retention treatment presented a gradient from the unmanaged sectors inside the aggregates to the furthest distances between aggregates. Inside the aggregates radiation values were slightly higher (GR of 7.6 ± 1.7 W m2 and PGR of 19.2 ± 4.4%) while the other variables were slightly lower (CC of 80.4 ± 3.6%, LAI of 2.3 ± 0.4, BA of 71.1 ± 20.9 m2 ha−1, and VSW of 19.4 ± 7.3%) compared to old growth forests due to the edge effect. The studied variables drastically changed in the dispersed retention, with lower changes in plots under the influence of the aggregates (within 20 m of the aggregate edge) than in the plots furthest away from any aggregate (20–40 m to the aggregate edge). The areas under the influence of the aggregates presented a CC of 51.1 ± 10.0%, LAI of 0.7 ± 0.3, GR of 23.5 ± 5.3 W m2, PGR of 59.3 ± 13.3%, BA of 21.7 ± 17.2 m2 ha−1, and VSW of 31.3 ± 17.5%, while the plots in the dispersed retention and furthest from the aggregates had a CC of 42.5 ± 10.4%, LAI of 0.4 ± 0.2, GR of 28.4 ± 4.5 W m2, PGR of 71.7 ± 11.4%, BA of 7.8 ± 5.6 m2 ha−1, and VSW of 33.2 ± 11.7%. The dispersed retention areas showed slightly lower values compared with the shelterwood.

3.2 Regeneration dynamics, canopy structure, and solar radiation transmission

There were significant differences for S, EST, MOR, and SP with respect to crown cover (Table 1). These variables all increased as CC increased, ranging from 180,000 to 623,000 ha−1 for S, 20,000–429,000 ha−1 for EST, 18,000–319,000 ha−1 for MOR, and 0.6–9.0 million ha−1 year−1 for SP. The greatest difference in these variables was observed as CC increased from 40–60% to 60–80%. Establishment was related to SP and MOR to previous EST year. Saplings presented the highest values at 60–80% CC and lowest at 40–60% CC but did not show significant differences (p = 0.142). When YAH was considered as main factor, significant differences were found for S, EST, and SP. Once again, saplings did not show a significant difference (p = 0.105). The observed differences were associated with past mast seed years (e.g., the S observed in the >7 YAH; Table 1) as well as the interactions found in these analysis.

Table 1 ANOVA and means for CC (%) and YAH analyzing S (thousand ha−1), S > 1 (thousand ha−1), EST (thousand ha−1), MOR (thousand ha−1 year−1), and SP (million ha−1 year−1) in Nothofagus pumilio forests

There were significant differences for LAI, GR, PGR, BA, and VSW with respect to changing crown cover (Table 2). These variables proportionally increased or decreased in their values as CC increased, except for VSW, which decreased from 25% to 31% at <60% CC to 18–19% at >60% CC levels.

Table 2 ANOVA and means for CC (%) analyzing effective LAI, GR (W m2), PGR (%) at understory level transmitted through the canopy, BA (m2 ha−1), and VSW (%) in Nothofagus pumilio forests

3.3 Sapling height model prediction

The parameters and statistics of the models used to predict H with sapling age along CC, LAI, GR, and PGR gradients were presented in Table 3. The proposed model provided polymorphic curves, where sapling height increased up to a maximum value and then decreased for all studied ages (Fig. 1). The shapes of the curves were similar because the independent variables studied were highly correlated: CC-LAI = 0.973 (p < 0.001), CC-GR and PGR =−0.969 (p < 0.001), LAI-GR and PGR =−0.958 (p < 0.001), and GR-PGR = 1.000 (p < 0.001). Sapling height increased when: (1) CC decreased, reaching to a maximum at 45% (mean height of 29.7 cm at 10 years old) and then decreased at lower CC levels; (3) LAI decreased, reaching to a maximum at 0.5 (mean height of 27.3 cm at 10 years old) and then decreased at lower LAI levels; (3) GR decreased, reaching to a maximum at 26 W m2 (mean height of 30.9 cm at 10 years old) and then decreased at lower GR levels; and (4) PGR decreased, reaching to a maximum at 65% (mean height of 30.9 cm at 10 years old) and then decreased at lower PGR levels.

Table 3 Parameters and statistics of the non-linear models of average seedling height after harvesting according to seedling age (2–10 years; Eq. 1) and CC (%), effective LAI, GR (W m2), and PGR (%) at understory level transmitted through the canopy in Nothofagus pumilio forests
Fig. 1
figure 1

Model prediction of average seedling height after harvesting according to their age (A2 to A10 years) and crown cover (CC) (%), effective leaf area index (LAI), global radiation (GR) (W m2) and percentage of global radiation (PGR) (%) at understory level transmitted through the canopy in Nothofagus pumilio forests

Residual analysis of SEE showed a different pattern for each studied variable (Fig. 2). No tendencies of under and over-estimations were detected across the studied gradients. Standard error of the mean was higher in the lower and maximum values of each studied variables.

Fig. 2
figure 2

Residual analysis (SEE—standard error of estimation) for the model prediction of average seedling height after harvesting analyzing crown cover (CC) (%), effective leaf area index (LAI), global radiation (GR) (W m2) and percentage of global radiation (PGR) (%) at understory level transmitted through the canopy in Nothofagus pumilio forests. Bars showed standard error of the mean

4 Discussion

Old-growth N. pumilio forests have high crown closure and retained a large percentage of the rainfall (13–25% for interception and 15–50% for evapo-transpiration) reducing soil moisture at ground level (Frangi and Richter 1994; Martínez Pastur et al. 2007a). The high crown cover also reduces light availability at ground level. Harvesting, by opening the canopy, increased radiation at ground level, e.g. it was 2.4–2.9× greater with 50% original basal area (Caldentey et al. 2009). Natural regeneration dynamics and subsequent growth determined by biomass compartmentalization (Lencinas et al. 2007) and photosynthetic efficiency depend on the interaction between radiation levels and soil moisture. There is a negative interaction that can influence the fine root dynamics thus affecting nutrient and water uptake (Martínez Pastur et al. 2007a), as was cited for N. solandri and N. menziesii (Sun et al. 1995). In this study, closed canopies affected the regeneration dynamics and growth performance of the 1–10-year-old regenerating seedlings and saplings, which were improved at lower crown covers (45% CC and 0.5 LAI), higher radiation (26 W m2 GR and 65% PGR), and soil moisture (31.4% VSW) levels. However, when crown cover was lower than 40%, the regeneration dynamics and growth performance was lower again. Beside this, higher canopy variables (CC and LAI) not only reduced both radiation transmittance (GR and PGR) and soil moisture content (VSW) but also increased seed production (Martínez Pastur et al. 2008) and consequently the density of the regeneration.

As we hypothesized, our height model for N. pumilio saplings showed a clear relationship with the extent of crown cover. The most favorable conditions (CC, LAI, GR, and PGR) were found in harvested forests, for example in shelterwood cuts (30 m2 ha−1 BA), in edges of aggregated retention and close to the aggregates in dispersed retention (15 m2 ha−1 BA) of variable retention cuts. Shelterwood cuts homogenized the stand canopy structure, while variable retention cuts (dispersed and aggregated retention) produced a wide range of canopy covers (Martínez Pastur et al. 2009). Shelterwood cuts have been designed to maximize the regeneration height growth, while variable retention maintains a great diversity of microenvironments for biodiversity conservation purposes (Martínez Pastur et al. 2007a; Lencinas et al. 2008).

In pure N. pumilio forest in southern Patagonia, seedlings are the main woody component of the understory, constituting and responding as pioneer species after large-scale disturbances, and this tree is also the climax species of the final succession. For this reason, many authors classified it as a shade intolerant species (Richter and Frangi 1992; Veblen et al. 1997). However, when we analyzed its height growth, we determined that the species can be considered as mid-tolerant, as also determined by Martínez Pastur et al. (2007a) with regard to its photosynthesis efficiency, and Gutiérrez (1994) who suggest that Tierra del Fuego Nothofagus species are mid-tolerant due to their colonization abilities and their capability to survive under a higher crown cover of the overstory.

Mortality occurred mainly in younger and smaller seedlings due to natural self-thinning, browsing, or drought. For example, the scarce rainfall observed during November 2002–2003 just as bud sprout and seed germination occurred (20–27 mm in November compared to 70–71 and 57–84 mm for October and December, respectively) induced greater mortality due to drought (Martínez Pastur et al. 2007b). Although we did not explicitly record browsing damage in this study, high losses by Lama guanicoe have been reported in previous studies both in primary forest and harvested stands (Pulido et al. 2000). While complete plants are removed by browsing when seedlings are small or young (less than 3–5 years), bigger or older plants are affected by bud grazing or by reduced height growth. Despite this, the regeneration density was sufficient to regenerate the stand (up to 40,000 ha−1 saplings) (Martínez Pastur et al. 2007a). Seedling dynamics (recruitment, growth, and mortality) inside the aggregates were comparable to those found in old-growth forests, maintaining the original micro-environments of the primary forests. According to this study, regeneration systems for N. pumilio should include gradual canopy opening reaching up to 45% CC and 0.5 LAI for maximum potential height growth. The regeneration systems that maintain some degrees of retention such as group selection cuts (Bava and López Bernal 2005) should incorporate these retention ranges to maximize height growth at landscape level. Future silviculture practices should take into account the effect of light and soil moisture changes to maximize the potential growth in the natural regeneration, and consider the edge effects of retentions. These findings could also be used to estimate the potential for regeneration growth at larger scales using remote sensing data (e.g., aerial photograph interpretation) instead of the canopy variables measured directly here.

5 Conclusions

The natural regeneration dynamics of N. pumilio was closely related to the overstory canopy structure, which influenced seed production rates and the successful establishment, mortality and subsequent seedling growth. The canopy influence was determined by equilibrium between radiation transmittance levels and soil moisture availability favor seedling establishment and growth at crown cover levels of 40–60%. Silvicultural systems that maintain crown cover at such levels are recommended for use in these forests.

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Acknowledgments

The authors gratefully thank the Centro Austral de Investigaciones Científicas, Ricardo Vukasovic of Servicios Forestales Consultancy, Los Cerros Ranch, San Justo Ranch, Kareken sawmill, and Los Castores sawmill for their support during this work. We also thank Sergio Luppo and María Elena Barlafina for provision of the radiation data and Mark Neyland of Forestry Tasmania for his comments about the manuscript.

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Martínez Pastur, G.J., Peri, P.L., Cellini, J.M. et al. Canopy structure analysis for estimating forest regeneration dynamics and growth in Nothofagus pumilio forests. Annals of Forest Science 68, 587–594 (2011). https://doi.org/10.1007/s13595-011-0059-1

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