Intra- and inter-specific variation of the maximum size-density relationship along an aridity gradient in Iberian pinewoods

Aguirre, Ana; Rı́o, Miren del; Condés, Sonia

doi:10.1016/j.foreco.2018.01.017

Cited by 42 publications

(46 citation statements)

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“…where represents the number of trees per hectare (trees ha −1 ), and is the quadratic mean diameter over bark (cm) measured at the height level of 1.30 m. For analysis purposes, the maximum density lines for the species estimated in previous studies namely by Luis and Fonseca [28], Aguirre et al [21], Ríofrio et al [30], and Charru et al [26] were also considered, as shown in Figure 5, (coded as L&F, a, b, and c, respectively). (Equation (1)) and the quadratic model (Equation (2)).…”

Section: Maximum Size-density Trajectory Over All the Stages Of Develmentioning

confidence: 99%

“…For analysis purposes, the maximum density lines for the species estimated in previous studies namely by Luis and Fonseca [28], Aguirre et al [21], Ríofrio et al [30], and Charru et al [26] were also considered, as shown in Figure 5, (coded as L & F, a, b, and c, respectively). Fonseca [28]; a-Aguirre et al [21]; b-Ríofrio et al [30]; c-Charru et al [26]) and in the current study-line in red. The points represented in the graph refer to the four data subsets.…”

Section: Maximum Size-density Trajectory Over All the Stages Of Develmentioning

confidence: 99%

“…Research shows that shade tolerant species tend to show a lower slope [15] and a higher intercept [18], due to the variation in self-tolerance. Some of the references [19][20][21][22] indicate that the change of the trajectory and/or the maximum value of density depends on the location of the stands, as well as on the climate characteristics. Deviance from the straight line is also recurrently mentioned [23][24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

“…It is also a basis for the simulation of management scenarios for maritime pine stands 12 years old and older in the ModisPinaster model [29]. Research about the self-thinning line for the species was later presented to pinewoods in France [26] and Spain [21,30].…”

Section: Introductionmentioning

confidence: 99%

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Size–Density Trajectory in Regenerated Maritime Pine Stands after Fire

Enes

Lousada

Aranha

et al. 2019

Forests

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Research Highlights: This study bridges a gap of knowledge about the maximum size-density trajectory for juvenile stands of maritime pine. The continuity of the trajectory along the development stages to maturity is assured with a straightforward approach providing support to determine optimum density along all the revolution periods for the species. Background and Objectives: Forest fire is a significant threat to forests in the Mediterranean regions, but also a natural disturbance that plays a vital role in the perpetuation of forest stands. In recent decades, there has been an increase of burnt area in maritime forests in Portugal, followed by an increased interest in managing the natural and usually abundant regeneration occurring after the fires. The gap in the knowledge of growth dynamics for juvenile stages, for these forest systems, currently constrains their correct management, for forest planning, particularly in determining the optimal densities. The study aims to identify the maximum attainable density trajectory at the early stages of development of the species that could support a non-empirical definition of silvicultural prescriptions and thinning decisions, along the revolution. Materials and Methods: A representative data set collected in stands regenerated after fire supports the analysis of the maximum size-density trajectory for the species. Results: The maximum size-density trajectory for the juvenile stands deviates from the expected trajectory defined in the self-thinning line published for the species. Significant deviation occurs at the lower end of the line, indicating the need for a reevaluation of the existing self-thinning line. We propose a new self-thinning model for the species that explicitly considers the behavior of size-density for juvenile stands. The new model assures a logical continuity for the trajectory from the young stages of development to maturity. Conclusions: The proposed model based on the maximum attainable size-density trajectory provides ecological-based support to define silvicultural guidelines for management of the species.

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Section: Maximum Size-density Trajectory Over All the Stages Of Develmentioning

confidence: 99%

Section: Maximum Size-density Trajectory Over All the Stages Of Develmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Size–Density Trajectory in Regenerated Maritime Pine Stands after Fire

Enes

Lousada

Aranha

et al. 2019

Forests

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“…Therefore, the change trend of ALT was negative in early burned areas. However, self-thinning becomes an active process when a young even-aged forest grows to maturity [51], resulting in a relatively open forest cover, which may increase the amount of solar radiation reaching the ground. The interannual variation of ALT is considered to be the result of the interaction between air temperature, wildfire, vegetation recovery, and self-thinning in early burned areas.…”

Section: Spatio-temporal Variations In Active Layer Thicknessmentioning

confidence: 99%

Spatio-Temporal Variations of Soil Active Layer Thickness in Chinese Boreal Forests from 2000 to 2015

et al. 2018

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The soil active layer in boreal forests is sensitive to climate warming. Climate-induced changes in the active layer may greatly affect the global carbon budget and planetary climatic system by releasing large quantities of greenhouse gases that currently are stored in permafrost. Ground surface temperature is an immediate driver of active layer thickness (ALT) dynamics. In this study, we mapped ALT distribution in Chinese boreal larch forests from 2000 to 2015 by integrating remote sensing data with the Stefan equation. We then examined the changes of the ALT in response to changes in ground surface temperature and identified drivers of the spatio-temporal patterns of ALT. Active layer thickness varied from 1.18 to 1.3 m in the study area. Areas of nonforested land and low elevation or with increased air temperature had a relatively high ALT, whereas ALT was lower at relatively high elevation and with decreased air temperatures. Interannual variations of ALT had no obvious trend, however, and the ALT changed at a rate of only −0.01 and 0.01 m year −1 . In a mega-fire patch of 79,000 ha burned in 2003, ∆ALT (ALT i − ALT 2002 , where 2003 ≤ i ≤ 2015) was significantly higher than in the unburned area, with the influence of the wildfire persisting 10 years. Under the high emission scenario (RCP8.5), an increase of 2.6-4.8 • C in mean air temperature would increase ALT into 1.46-1.55 m by 2100, which in turn would produce a significant positive feedback to climate warming.

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Estimating the self‐thinning boundary line for oak mixed forests in central China by using stochastic frontier analysis and a proposed variable density model

Long

Si-qi

Shi

et al. 2022

Ecology and Evolution

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A suitable self‐thinning model is fundamental to effective density control and management. Using data from 265 plot measurements in oak mixed forests in central China, we demonstrated how to estimate a suitable self‐thinning line for oak mixed forests from three aspects, i.e., self‐thinning models (Reineke's model and the variable density model), statistical methods (quantile regression and stochastic frontier analysis), and the variables affecting stands (topography and stand structure factors). The proposed variable density model, which is based on the quadratic mean diameter and dominant height, exhibited a better goodness of fit and biological relevance than Reineke's model for modeling the self‐thinning line for mixed oak forests. In addition, the normal‐truncated normal stochastic frontier model was superior to quantile regression for modeling the self‐thinning line. The altitude, Simpson index, and dominant height–diameter ratio (Hd$$ {H}_{\mathrm{d}} $$/D) also had significant effects on the density of mixed forests. Overall, a variable density self‐thinning model may be constructed using stochastic frontier analysis for oak mixed forests while considering the effects of site quality and stand structure on density. The findings may contribute to a more accurate density management map for mixed forests.

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Intra- and inter-specific variation of the maximum size-density relationship along an aridity gradient in Iberian pinewoods

Cited by 42 publications

References 50 publications

Size–Density Trajectory in Regenerated Maritime Pine Stands after Fire

Size–Density Trajectory in Regenerated Maritime Pine Stands after Fire

Spatio-Temporal Variations of Soil Active Layer Thickness in Chinese Boreal Forests from 2000 to 2015

Estimating the self‐thinning boundary line for oak mixed forests in central China by using stochastic frontier analysis and a proposed variable density model

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