Regeneration of Mediterranean Pinus sylvestris under two alternative shelterwood systems within a multiscale framework

Barbeito, Ignacio; LeMay, Valerie; Calama, Rafael; Cañellas, Isabel

doi:10.1139/x10-214

Cited by 21 publications

(37 citation statements)

References 40 publications

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“…None of the seed points were located at distance below 15 m from the outside margin of the buffered area. IPOT is a competition index based on the concept of ecological field theory (Wu et al, 1985) and empirically modified by Kuuluvainen and Pukkala (1989) and Barbeito et al (2011):…”

Section: Experimental Designmentioning

confidence: 99%

Modelling seed germination in forest tree species through survival analysis. The Pinus pinea L. case study

Manso

Fortin

Calama

et al. 2013

Forest Ecology and Management

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This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues.Other uses, including reproduction and distribution, or selling or licensing copies, or posting to personal, institutional or third party websites are prohibited. The direct application of existing models for seed germination may often be inadequate in the context of ecology and forestry germination experiments. This is because basic model assumptions are violated and variables available to forest managers are rarely used. In this paper, we present a method which addresses the aforementioned shortcomings. The approach is illustrated through a case study of Pinus pinea L. Our findings will also shed light on the role of germination in the general failure of natural regeneration in managed forests of this species. The presented technique consists of a mixed regression model based on survival analysis. Climate and stand covariates were tested. Data for fitting the model were gathered from a 5-year germination experiment in a mature, managed P. pinea stand in the Northern Plateau of Spain in which two different stand densities can be found. The model predictions proved to be unbiased and highly accurate when compared with the training data. Germination in P. pinea was controlled through thermal variables at stand level. At microsite level, low densities negatively affected the probability of germination. A time-lag in the response was also detected. Overall, the proposed technique provides a reliable alternative to germination modelling in ecology/forestry studies by using accessible/suitable variables. The P. pinea case study highlights the importance of producing unbiased predictions. In this species, the occurrence and timing of germination suggest a very different regeneration strategy from that understood by forest managers until now, which may explain the high failure rate of natural regeneration in managed stands. In addition, these findings provide valuable information for the management of P. pinea under climate-change conditions.

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Section: Experimental Designmentioning

confidence: 99%

Modelling seed germination in forest tree species through survival analysis. The Pinus pinea L. case study

Manso

Fortin

Calama

et al. 2013

Forest Ecology and Management

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“…In monospecific stands, shifting from spatially regular thinning to less regular but more intense harvest events or increasing the duration of the regeneration period may increase structural diversity throughout the whole rotation period (Barbeito et al, 2011;Peck et al, 2014). Alternatively, species mixing could be used to enrich stand structure and heterogeneity Schütze, 2014, 2015) but strong competitive superiority of one species may also cause structural homogenization (Wiedemann, 1951, p. 134).…”

Section: Introductionmentioning

confidence: 99%

Mixing of Scots pine (Pinus sylvestris L.) and European beech (Fagus sylvatica L.) enhances structural heterogeneity, and the effect increases with water availability

Pretzsch

Rı́o

Schütze

et al. 2016

Forest Ecology and Management

130

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a b s t r a c tThe mixing of tree species with complementary ecological traits may modify forest functioning regarding productivity, stability, or resilience against disturbances. This may be achieved by a higher heterogeneity in stand structure which is often addressed but rarely quantified. Here, we use 32 triplets of mature and fully stocked monocultures and mixed stands of Scots pine (Pinus sylvestris L.) and European beech (Fagus sylvatica L.) located along a productivity and water availability gradient through Europe to examine how mixing modifies the stand structure in terms of stand density, horizontal tree distribution pattern, vertical stand structure, size distribution pattern, and variation in tree morphology. We further analyze how site conditions modify these aspects of stand structure. For this typical mixture of a light demanding and shade tolerant species we show that (i) mixing significantly increases many aspects of structural heterogeneity compared with monocultures, (ii) mixing effects such as an increase of stand density and diversification of vertical structure and tree morphology are caused by species identity (additive effects) but also by species interactions (multiplicative effects), and (iii) superior heterogeneity of mixed stands over monocultures can increase from dry to moist sites. We discuss the implications for analyzing the productivity, for modelling and for the management of mixed species stands.

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“…Consequently, natural regeneration modelling has become increasingly popular. Natural regeneration in forest species has been modelled from two main perspectives: recruitment models (e.g., Eerikäinen et al 2007;Fortin and DeBlois 2007;Barbeito et al 2011) and multistage models (e.g., Leak 1968;Ferguson et al 1986;Pukkala and Kolström 1992;Ordóñez et al 2006). Recruitment models require relatively little sample and modelling effort, but they are often too simplistic when the mechanisms involved in regeneration at the subprocess level (e.g., seed production, dispersal, etc.)…”

Section: Introductionmentioning

confidence: 99%

Modelling Pinus pinea forest management to attain natural regeneration under present and future climatic scenarios

Manso¹,

Pukkala

Pardos³

et al. 2014

Can. J. For. Res.

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Natural regeneration-based silviculture has been increasingly regarded as a reliable option in sustainable forest management. However, successful natural regeneration is not always easy to achieve. Recently, new concerns have arisen because of changing future climate. To date, regeneration models have proved helpful in decision-making concerning natural regeneration. The implementation of such models into optimization routines is a promising approach in providing forest managers with accurate tools for forest planning. In the present study, we present a stochastic multistage regeneration model for Pinus pinea L. managed woodlands in Central Spain, where regeneration has been historically unsuccessful. The model is able to quantify recruitment under different silviculture alternatives and varying climatic scenarios, with further application to optimize management scheduling. The regeneration process in the species showed high between-year variation, with all subprocesses (seed production, dispersal, germination, predation, and seedling survival) having the potential to become bottlenecks. However, model simulations demonstrate that current intensive management is responsible for regeneration failure in the long term. Specifically, stand densities at rotation age are too low to guarantee adequate dispersal, the optimal density of seed-producing trees being around 150 stems·ha −1 . In addition, rotation length needs to be extended up to 120 years to benefit from the higher seed production of older trees. Stochastic optimization confirms these results. Regeneration does not appear to worsen under climate change conditions; the species exhibiting resilience worthy of broader consideration in Mediterranean silviculture.Key words: multistage models, transition probability, stochastic spatial optimization, stochastic simulation, climatic change.Résumé : La sylviculture fondée sur la régénération naturelle est de plus en plus considérée comme une option fiable pour l'aménagement forestier durable. Cependant, il n'est pas toujours facile de réussir à établir une régénération naturelle. Récem-ment, de nouvelles préoccupations ont été soulevées en raison des futurs changements climatiques. Jusqu'à présent, les modèles de régénération se sont avérés utiles pour la prise de décision concernant la régénération naturelle. L'application de ces modèles dans des routines d'optimisation est une approche prometteuse pour fournir aux aménagistes forestiers des outils précis pour la planification forestière. Dans la présente étude, nous présentons un modèle de régénération stochastique multistage pour les forêts aménagées de Pinus pinea L. du centre de l'Espagne où la régénération a historiquement été infructueuse. Le modèle est en mesure de quantifier le recrutement en fonction de différentes méthodes sylvicoles et de divers scénarios climatiques, en plus d'optimiser le calendrier d'aménagement. Le processus de régénération de cette espèce a montré une forte variation interannuelle et tous les sous-processus (production, di...

show abstract

Regeneration of Mediterranean Pinus sylvestris under two alternative shelterwood systems within a multiscale framework

Cited by 21 publications

References 40 publications

Modelling seed germination in forest tree species through survival analysis. The Pinus pinea L. case study

Modelling seed germination in forest tree species through survival analysis. The Pinus pinea L. case study

Mixing of Scots pine (Pinus sylvestris L.) and European beech (Fagus sylvatica L.) enhances structural heterogeneity, and the effect increases with water availability

Modelling Pinus pinea forest management to attain natural regeneration under present and future climatic scenarios

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