Annals of Forest Science / Institut national de la recherche agronomique (1946 - 2019) . vol 73 n° 2Paru le : 01/06/2016 |
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Ajouter le résultat dans votre panierCork oak pests: a review of insect damage and management / Riziero Tiberi in Annals of Forest Science, vol 73 n° 2 (June 2016)
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Titre : Cork oak pests: a review of insect damage and management Type de document : Article/Communication Auteurs : Riziero Tiberi, Auteur ; Manuela Branco, Auteur ; Matteo Bracalini, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 219 - 232 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] changement climatique
[Termes IGN] insecte nuisible
[Termes IGN] politique de conservation (biodiversité)
[Termes IGN] Quercus suber
[Termes IGN] risque naturel
[Termes IGN] surveillance écologique
[Termes IGN] sylviculture
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (auteur) Key message : Cork oak decline is widespread in all its distribution range and seems to be triggered mainly by both mismanagement and unfavorable climatic factors. As a result, cork oak forests become susceptible to pest attack, which accelerates the onset of decline. Pest management strategies for this valuable and highly biodiverse ecosystem are examined in this review, taking into account the main insect pests and how their impact on cork oak forests is affected by climate change. While monitoring pests may provide the tools to predict the transition from endemic to epidemic insect populations, forestry practices (sanitary felling), biological control, and trapping are some of the most promising measures in protecting cork oak forests.
Context : Over the last decades, cork oak (Quercus suber L.) decline has affected millions of trees throughout its distribution range. Cork oak is a typically Mediterranean species remarkably relevant for the biodiversity and landscape conservation of vast evergreen oak forests. Cork oak is also well known and highly valued for cork production. Climatic changes, management practices, and biotic factors, particularly plant pathogens and insect pests, play a decisive role in tree death and market devaluation of cork.
Aims : Here, we review the major insect pests possibly involved in cork oak decline, while discussing pest management strategies.
Methods : A survey of the current literature was performed to identify major insect pests affecting cork oak trees, as well as to establish the most promising pest management strategies under climate change.
Results: Many authors seem to agree that the decline is triggered by both anthropogenic and abiotic factors, such as the mismanagement of cork oak forests and unfavorable climate (high temperatures and droughts). Consequently, trees become susceptible to pests and pathogens, which accelerate the onset of decline.
Conclusion : Since a further increase in temperatures and droughts is expected, developing adequate management strategies to adapt cork oak trees to climate change, while simultaneously preventing and reducing insect pest attacks, is of foremost importance in the effort to conserve these unique and highly diverse ecosystems.Numéro de notice : A2016-348 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1007/s13595-015-0534-1 Date de publication en ligne : 20/01/2016 En ligne : https://doi.org/10.1007/s13595-015-0534-1 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81058
in Annals of Forest Science > vol 73 n° 2 (June 2016) . - pp 219 - 232[article]Developing a dynamic growth model for maritime pine in Asturias (NW Spain): comparison with nearby regions / Manuel Arias-Rodil in Annals of Forest Science, vol 73 n° 2 (June 2016)
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Titre : Developing a dynamic growth model for maritime pine in Asturias (NW Spain): comparison with nearby regions Type de document : Article/Communication Auteurs : Manuel Arias-Rodil, Auteur ; Marcos Barrio-Anta, Auteur ; Ulises Diéguez-Aranda, Auteur Année de publication : 2016 Article en page(s) : pp 297 - 320 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Végétation
[Termes IGN] bois sur pied
[Termes IGN] croissance des arbres
[Termes IGN] Espagne
[Termes IGN] hauteur des arbres
[Termes IGN] modèle de simulation
[Termes IGN] Pinus pinaster
[Termes IGN] statistique descriptive
[Termes IGN] surface terrièreRésumé : (auteur) Key message: A dynamic growth model was developed for maritime pine in Asturias. During the evaluation process, a stand volume ratio function proved the best of two alternative methods for estimating merchantable volume. Comparison of the developed model with existing models for nearby regions showed that a single model may suffice for the whole of the NW Iberian Peninsula.
Context: Maritime pine is one of the most important tree species in NW Spain. There was no existing dynamic growth model for this species in Asturias.
Aims: To develop a dynamic growth model for maritime pine in Asturias, by evaluating two different methods of estimating volume (a disaggregation system and a stand volume ratio function), and to compare the developed model with existing models for Galicia and northern Portugal are the goals of this study.
Methods: The dynamic model is based on the state-space approach, in which three state variables characterize the stand at any point in time: dominant height, number of stems per hectare and stand basal area. The transition function for the first variable was developed on the basis of stem analysis data in a previous study, while the corresponding functions for the last two variables were simultaneously fitted with data obtained from successive measurements of permanent plots. An appendix outlining the implementation of a stand growth simulator in the R environment is included to facilitate model use and evaluation.
Results: When the whole model was used to project the stand conditions, the stand volume ratio function performed best, yielding a root mean square error of 22.4 m3 ha−1 and a critical error of 18.4 %. Comparison with models developed for other regions revealed both similarities and differences, some of which may be attributed to an unequal distribution of the available data in age and site quality classes.
Conclusion: The proposed dynamic growth model provided accurate results, and comparison with other region-specific models showed that a single dynamic model may suffice for the whole of the NW Iberian Peninsula.Numéro de notice : A2016-350 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1007/s13595-015-0501-x Date de publication en ligne : 25/08/2015 En ligne : https://doi.org/10.1007/s13595-015-0501-x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81059
in Annals of Forest Science > vol 73 n° 2 (June 2016) . - pp 297 - 320[article]Variations in the natural density of European oak wood affect thermal degradation during thermal modification / Joël Hamada in Annals of Forest Science, vol 73 n° 2 (June 2016)
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Titre : Variations in the natural density of European oak wood affect thermal degradation during thermal modification Type de document : Article/Communication Auteurs : Joël Hamada, Auteur ; Anélie Pétrissans, Auteur ; Frédéric Mothe, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 277 - 286 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] bois
[Termes IGN] densité du bois
[Termes IGN] effet thermique
[Termes IGN] industrie forestière
[Termes IGN] Quercus (genre)
[Termes IGN] sylviculture
[Termes IGN] tomographie
[Vedettes matières IGN] ForesterieRésumé : (auteur) Key message : Thermogravimetric analysis, performed on small samples of earlywood (EW) or latewood (LW), indicated that earlywood is more susceptible to thermal degradation than latewood. These results suggest a direct relationship between wood density (which depends on the EW/LW ratio and indirectly on silviculture) and the response of wood during thermo-modification processes.
Context: One of the main difficulties in developing thermo-modified wood products at an industrial scale lies in the difficulty of obtaining consistent products with a stable quality (durability, dimensional stability, color). This may be due either to the thermal treatment process itself or to inter- or intra-specific heterogeneity of wood properties.
Aims: We investigated the effect of the natural variability of oak wood, particularly in density, on the degree of thermo-degradation during thermal treatments.
Methods: X-ray computed tomography was used to assess the effect of initial wood density of oak boards on their thermo-degradation. Intra-ring wood density was estimated using thermogravimetric analysis and micro-densitometry.
Results: X-ray CT did not allow establishment of a clear correlation between initial wood density and mass loss due to thermo-degradation, while thermogravimetric analysis, performed separately on earlywood and latewood samples, revealed a larger susceptibility to thermal degradation of the less dense earlywood samples compared to more dense latewood samples
Conclusion: Initial wood density, which is directly controlled by the earlywood/latewood ratio modulated by silvicultural practices, directly influences thermo-degradation during thermal treatment. Initial wood density therefore appears to be a potential parameter influencing industrial thermal treatment processes.Numéro de notice : A2016-349 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1007/s13595-015-0499-0 Date de publication en ligne : 16/07/2015 En ligne : https://doi.org/10.1007/s13595-015-0499-0 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81060
in Annals of Forest Science > vol 73 n° 2 (June 2016) . - pp 277 - 286[article]Integrating risk preferences in forest harvest scheduling / Kyle J. Eyvindson in Annals of Forest Science, vol 73 n° 2 (June 2016)
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Titre : Integrating risk preferences in forest harvest scheduling Type de document : Article/Communication Auteurs : Kyle J. Eyvindson, Auteur ; Annika S. Kangas, Auteur Année de publication : 2016 Article en page(s) : pp 321 - 330 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Végétation
[Termes IGN] gestion
[Termes IGN] gestion prévisionnelle
[Termes IGN] planification
[Termes IGN] production agricole végétale
[Termes IGN] programmation stochastique
[Termes IGN] risque environnemental
[Termes IGN] sylvicultureRésumé : (auteur) Key message: Through a stochastic programming framework, risk preferences can be included in forest planning. The value of utilizing stochastic programming is always positive; however, the value depends on the information quality and risk preferences of the decision maker.
Context: Harvest scheduling requires decisions be taken based on imperfect information and assumptions regarding the future state of the forest and markets.
Aims: The aim of this study is to incorporate elements of risk management into forest management, so that the decision maker can understand the risks associated with utilizing the imperfect data.
Methods: Incorporation of uncertainty is done through stochastic programming. This allows for the decision maker’s attitude towards risk to be incorporated into the development of a solution. By means of a simple even-flow problem formulation, a method of using stochastic programming to incorporate explicit trade-off between objective function value and risk of not meeting the constraints has been developed.
Results: The different models highlight the importance of including uncertainty in management of forest resources. In general, as the decision maker becomes more risk averse, the incorporation of uncertainty into the model becomes more important.
Conclusions: The use of stochastic programming allows for additional information to be included in the formulation, and this allows for the decision maker to account for downside risk.Numéro de notice : A2016-351 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1007/s13595-015-0517-2 Date de publication en ligne : 11/09/2015 En ligne : https://doi.org/10.1007/s13595-015-0517-2 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81061
in Annals of Forest Science > vol 73 n° 2 (June 2016) . - pp 321 - 330[article]Above- and belowground tree biomass models for three mangrove species in Tanzania: a nonlinear mixed effects modelling approach / Marco Andrew Njana in Annals of Forest Science, vol 73 n° 2 (June 2016)
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Titre : Above- and belowground tree biomass models for three mangrove species in Tanzania: a nonlinear mixed effects modelling approach Type de document : Article/Communication Auteurs : Marco Andrew Njana, Auteur ; Ole Martin Bollandsås, Auteur ; Tron Eid, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 353 - 369 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Végétation
[Termes IGN] biomasse forestière
[Termes IGN] changement climatique
[Termes IGN] état de surface du sol
[Termes IGN] mangrove
[Termes IGN] sol forestier
[Termes IGN] sous-sol
[Termes IGN] surveillance de la végétation
[Termes IGN] Tanzanie
[Termes IGN] teneur en carboneRésumé : (auteur) Key message: Tested on data from Tanzania, both existing species-specific and common biomass models developed elsewhere revealed statistically significant large prediction errors. Species-specific and common above- and belowground biomass models for three mangrove species were therefore developed. The species-specific models fitted better to data than the common models. The former models are recommended for accurate estimation of biomass stored in mangrove forests of Tanzania.
Context: Mangroves are essential for climate change mitigation through carbon storage and sequestration. Biomass models are important tools for quantifying biomass and carbon stock. While numerous aboveground biomass models exist, very few studies have focused on belowground biomass, and among these, mangroves of Africa are hardly or not represented.
Aims: The aims of the study were to develop above- and belowground biomass models and to evaluate the predictive accuracy of existing aboveground biomass models developed for mangroves in other regions and neighboring countries when applied on data from Tanzania.
Methods: Data was collected through destructive sampling of 120 trees (aboveground biomass), among these 30 trees were sampled for belowground biomass. The data originated from four sites along the Tanzanian coastline covering three dominant species: Avicennia marina (Forssk.) Vierh, Sonneratia alba J. Smith, and Rhizophora mucronata Lam. The biomass models were developed through mixed modelling leading to fixed effects/common models and random effects/species-specific models.
Results: Both the above- and belowground biomass models improved when random effects (species) were considered. Inclusion of total tree height as predictor variable, in addition to diameter at breast height alone, further improved the model predictive accuracy. The tests of existing models from other regions on our data generally showed large and significant prediction errors for aboveground tree biomass.
Conclusion: Inclusion of random effects resulted into improved goodness of fit for both above- and belowground biomass models. Species-specific models therefore are recommended for accurate biomass estimation of mangrove forests in Tanzania for both management and ecological applications. For belowground biomass (S. alba) however, the fixed effects/common model is recommended.Numéro de notice : A2016-352 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1007/s13595-015-0524-3 Date de publication en ligne : 14/10/2015 En ligne : https://doi.org/10.1007/s13595-015-0524-3 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81063
in Annals of Forest Science > vol 73 n° 2 (June 2016) . - pp 353 - 369[article]Evaluating the productivity of four main tree species in Germany under climate change with static reduced models / Martin Gutsch in Annals of Forest Science, vol 73 n° 2 (June 2016)
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Titre : Evaluating the productivity of four main tree species in Germany under climate change with static reduced models Type de document : Article/Communication Auteurs : Martin Gutsch, Auteur ; Petra Lasch-Born, Auteur ; Felicitas Suckow, Auteur ; Christopher P.O. Reyer, Auteur Année de publication : 2016 Article en page(s) : pp 401- 410 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Végétation
[Termes IGN] Allemagne
[Termes IGN] analyse diachronique
[Termes IGN] climat
[Termes IGN] étude d'impact
[Termes IGN] production agricole végétale
[Termes IGN] régression
[Termes IGN] sylvicultureRésumé : (auteur) Key message: We present simple models of forest net primary production (NPP) in Germany that show increasing productivity, especially in mountainous areas, under warming unless water becomes a limiting factor. They can be used for spatially explicit, rapid climate impact assessment.
Context: Climate impact studies largely rely on process-based forest models generally requiring detailed input data which are not everywhere available.
Aims: This study aims to derive simple models with low data requirements which allow calculation of NPP and analysis of climate impacts using many climate scenarios at a large amount of sites.
Methods: We fitted regression functions to the output of simulation experiments conducted with the process-based forest model 4C at 2342 climate stations in Germany for four main tree species on four different soil types and two time periods, 1951–2006 and 2031–2060.
Results: The regression functions showed a reasonable fit to measured NPP datasets. Temperature increase of up to 3 K leads to positive effects on NPP. In water-limited regions, this positive effect is dependent on the length of drought periods. The highest NPP increase occurs in mountainous regions.
Conclusion: Rapid analyses, using reduced models as presented here, can complement more detailed analyses with process-based models. Especially for dry sites, we recommend further study of climate impacts with process-based models or detailed measurementsNuméro de notice : A2016-353 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1007/s13595-015-0532-3 Date de publication en ligne : 02/12/2015 En ligne : https://doi.org/10.1007/s13595-015-0532-3 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81064
in Annals of Forest Science > vol 73 n° 2 (June 2016) . - pp 401- 410[article]Tree species identity mediates mechanisms of top soil carbon sequestration in a Norway spruce and European beech mixed forest / Enrique Andivia in Annals of Forest Science, vol 73 n° 2 (June 2016)
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Titre : Tree species identity mediates mechanisms of top soil carbon sequestration in a Norway spruce and European beech mixed forest Type de document : Article/Communication Auteurs : Enrique Andivia, Auteur ; Victor Rolo, Auteur ; Mathieu Jonard, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 437- 447 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] Fagus sylvatica
[Termes IGN] géostatistique
[Termes IGN] Norvège
[Termes IGN] Picea abies
[Termes IGN] puits de carbone
[Termes IGN] sol forestier
[Termes IGN] teneur en carbone
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (auteur) Key message: Combined effects of litterfall and root turnover significantly increase topsoil carbon stocks in Norway spruce and European beech mixed forests, indicating local complementarity effects mediated by tree species mixtures.
Context: The establishment of mixed stands by intermingling individuals of European beech and Norway spruce is an ongoing trend in adaptive forest management strategies. However, our understanding of the potential of these strategies to promote C sequestration remains limited.
Aims: This study aims to assess the effect of species composition on SOC stock in a mixed forest of Norway spruce and European beech.
Methods: We studied C stocks in the uppermost soil layers in two stands dominated either by Norway spruce or European beech and in a mixture of both species. We evaluated the effect of litterfall and root turnover on soil organic carbon (SOC) stocks and its spatial distribution by combining structural equation models and geostatistical techniques.
Results: C stocks in the forest floor were highest in Norway spruce, whereas in the mineral soil, the highest values were in the mixed stand. The proportion of Norway spruce litterfall was positively related to C stock in the forest floor across stands. Root turnover was positively related to C stock in the mineral soil of the mixed stand.
Conclusion: Our results confirm a contrasting role of root turnover and litterfall between soil layers in the studied stands, suggesting that tree species composition can mediate the spatial distribution of SOC stocks in mixed forests.Numéro de notice : A2016-354 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1007/s13595-015-0536-z Date de publication en ligne : 14/01/2016 En ligne : https://doi.org/10.1007/s13595-015-0536-z Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81065
in Annals of Forest Science > vol 73 n° 2 (June 2016) . - pp 437- 447[article]Effects of experimental warming on soil respiration and biomass in Quercus variabilis Blume and Pinus densiflora Sieb. et Zucc. seedlings / Nam Jin Noh in Annals of Forest Science, vol 73 n° 2 (June 2016)
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Titre : Effects of experimental warming on soil respiration and biomass in Quercus variabilis Blume and Pinus densiflora Sieb. et Zucc. seedlings Type de document : Article/Communication Auteurs : Nam Jin Noh, Auteur ; Sun Jeong Lee, Auteur ; Wooyong Jo, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 533 - 545 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] biomasse forestière
[Termes IGN] changement climatique
[Termes IGN] écosystème forestier
[Termes IGN] Pinus densiflora
[Termes IGN] placette d'échantillonnage
[Termes IGN] Quercus variabilis
[Termes IGN] surveillance de la végétation
[Termes IGN] taxinomie
[Termes IGN] température au sol
[Termes IGN] teneur en carbone
[Termes IGN] variation saisonnière
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (auteur) Key message: In the open-field warming experiment using infrared heaters, 3 °C warming affected soil respiration more in the deciduous Quercus variabilis Blume plot than in the evergreen Pinus densiflora Sieb. et Zucc. plot, but did not affect the plant biomass in either species.
Context: Understanding the species-specific responses of belowground carbon processes to warming is essential for the accurate prediction of forest carbon cycles in ecosystems affected by future climate change.
Aims: This study aimed to investigate the effect of experimental warming on soil CO2 efflux, soil-air CO2 concentration, and plant biomass for two taxonomically different temperate tree species.
Methods: Experimental warming was conducted in an open-field planted with Q. variabilis and P. densiflora seedlings. Infrared heaters increased the air temperature by 3 °C in the warmed plots compared with the air temperature in the control plots over a 2-year period.
Results: The increase in air and soil temperature stimulated soil CO2 efflux by 29 and 22 % for the Q. variabilis and P. densiflora plots, respectively. Seasonal variation in the warming effect on soil CO2 efflux was species-specific. Soil CO2 efflux was also positively related to both soil temperature and soil water content. The soil moisture deficit decreased the difference in soil CO2 efflux between the control and warmed plots. Warming did not affect soil CO2 concentration and plant biomass in either species; however, the mean soil CO2 concentration was positively correlated with root and total biomass.
Conclusion: Warming increased soil CO2 efflux in both Q. variabilis and P. densiflora plots, while the increase showed remarkable seasonal variations and different magnitudes for the two species.Numéro de notice : A2016-355 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1007/s13595-016-0547-4 Date de publication en ligne : 24/03/2016 En ligne : https://doi.org/10.1007/s13595-016-0547-4 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81067
in Annals of Forest Science > vol 73 n° 2 (June 2016) . - pp 533 - 545[article]