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The use of large databases to characterize habitat types: the case of Quercus suber woodlands in Europe / Emiliano Agrillo in Rendiconti Lincei. Scienze Fisiche e Naturali, vol 29 n° 2 (June 2018)  

Public [article]  inRendiconti Lincei. Scienze Fisiche e Naturali > vol 29 n° 2 (June 2018) . - pp 283 - 293 Titre : The use of large databases to characterize habitat types: the case of Quercus suber woodlands in Europe Type de document : Article/Communication Auteurs : Emiliano Agrillo, Auteur ; Nicola Alessi, Auteur ; Borja Jimenez-Alfaro, Auteur ; et al., Auteur Année de publication : 2018 Article en page(s) : pp 283 - 293 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] Europe (géographie physique) [Termes descripteurs IGN] habitat (nature) [Termes descripteurs IGN] habitat forestier [Termes descripteurs IGN] quercus suber [Vedettes matières IGN] Ecologie forestière Résumé : (auteur) The conservation of habitat types has been recognized to be of relevant importance for the conservation of biodiversity and is a major concern in the European Union. With the 92/43/EEC Habitats Directive, the European Commission targeted these habitat types, which conservation must be ensured by Member States. In this context, the Habitat type 9330 “Quercus suber forests” is intended to ensure the conservation of cork oak woodlands in Europe. To support the enhancement of nature conservation policies, in this study we provide a classification of cork oak woodlands in Europe using a large vegetation database. We identify four major groups with clear biogeographic differences and characterize them by lists of indicator species. We also provide distribution maps based on occurrence data and the modelled potential area of distribution as an additional tool for conservation. This study offers a contribution to the comparative description of the European Q. suber woodlands subtypes and to establish a protocol for habitat monitoring and assessment. Numéro de notice : A2018-210 Thématique : FORET Nature : Article DOI : 10.1007/s12210-018-0703-x date de publication en ligne : 30/04/2018 En ligne : https://doi.org/10.1007/s12210-018-0703-x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89975 [article]

Remotely sensed forest habitat structures improve regional species conservation / Christian Reichsteiner in Remote sensing in ecology and conservation, vol 3 n° 4 (December 2017) 

Public [article]  inRemote sensing in ecology and conservation > vol 3 n° 4 (December 2017) . - pp 247 - 258 Titre : Remotely sensed forest habitat structures improve regional species conservation Type de document : Article/Communication Auteurs : Christian Reichsteiner, Auteur ; Florian Zellweger, Auteur ; Anatole Gerber, Auteur ; Frank T. Breiner, Auteur ; Kurt Bollmann, Auteur Année de publication : 2017 Article en page(s) : pp 247 - 258 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Ecologie [Termes descripteurs IGN] distribution spatiale [Termes descripteurs IGN] données lidar [Termes descripteurs IGN] données localisées 3D [Termes descripteurs IGN] habitat forestier [Termes descripteurs IGN] lasergrammétrie [Termes descripteurs IGN] oiseau [Termes descripteurs IGN] politique de conservation (biodiversité) [Termes descripteurs IGN] Suisse Résumé : (auteur) Recent studies show that light detection and ranging (LiDAR) derived habitat variables significantly increase the performance and accuracy of species distribution models (SDMs). In particular, the structure of complex habitats such as forest can be accurately parametrized by an area-wide, LiDAR-based vegetation profile. However, evidence of specific applications of such models in real-world conservation management still remains sparse. Here, we developed a resource selection SDM for hazel grouse (Bonasa bonasia L.) in a Swiss nature park with the aim to map habitat suitability and to inform the park management about habitat improvement measures. We used remote sensing, particularly LiDAR to derive ecologically relevant forest vegetation characteristics at the local scale and used them as predictors in an ensemble SDM approach. The predicted habitat suitability was mainly affected by local, fine grained vegetation structure. Average vegetation height, shrub density and canopy height variation contributed most to the habitat quality for hazel grouse. This clearly shows how LiDAR provides the means to develop ecologically interpretable predictor variables of forest habitat structure and that these predictors can be used to reliably map local-scale habitat quality, indicated by high model performance scores (median AUC of 0.918). This improves spatial conservation planning, and at the same time, provides meaningful information to derive habitat improvement measures that can be implemented in the field by foresters. Hazel grouse occurrence in the park is restricted to a few highly suitable, disjunct habitat patches. Therefore, conservation management should increase the connectivity of suitable habitat with the aim to stimulate an increase and better exchange of individuals in the regional hazel grouse population. Habitat improvements can be achieved by forestry measures that regularly integrate early successional forest stages into production forests. They should contain stands with a shrub density of around 30% as well as heterogeneous stands in terms of vegetation height. Numéro de notice : A2017-736 Thématique : BIODIVERSITE/FORET Nature : Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=88735 [article]

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Multi-model estimation of understorey shrub, herb and moss cover in temperate forest stands by laser scanner data / Hooman Latifi in Forestry, an international journal of forest research, vol 90 n° 4 (October 2017)  

Public [article]  inForestry, an international journal of forest research > vol 90 n° 4 (October 2017) . - pp 496 - 514 Titre : Multi-model estimation of understorey shrub, herb and moss cover in temperate forest stands by laser scanner data Type de document : Article/Communication Auteurs : Hooman Latifi, Auteur ; Steven Hill, Auteur ; Bastian Schumann, Auteur ; Marco Heurich, Auteur ; Stefan Dech, Auteur Année de publication : 2017 Article en page(s) : pp 496 - 514 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes descripteurs IGN] classification par forêts aléatoires [Termes descripteurs IGN] données lidar [Termes descripteurs IGN] données localisées 3D [Termes descripteurs IGN] estimation statistique [Termes descripteurs IGN] forêt tempérée [Termes descripteurs IGN] habitat forestier [Termes descripteurs IGN] sous-bois Résumé : (Auteur) In temperate forests, the highest plant richness is regularly found in the understorey, i.e. shrub, tree regeneration, herbal and moss covers, which provides important food and shelter for other plant and animal species. Here, Light Detection And Ranging (LiDAR) remote sensing was investigated as a surrogate to laborious field surveys to improve understanding of the causal and predictive attributes of understorey. We designed a study in which we used a high-density LiDAR point cloud and applied a thinning algorithm to simulate two lower density point clouds including first and last returns and half of the remaining points (half-thinned data) and only first and last returns (F/L-thinned data). From each dataset, several over- and understorey-related statistical metrics were derived. Each of the three sets of LiDAR metrics was then combined with the forest habitat information to estimate the recorded proportions of shrub, herb and moss coverages. We used three different model procedures including zero-and-one-inflated beta regression (ZOINBR), ordinary least squares with logit-transformed response variables (logistic model) and a machine learning random forest (RF) method. The logistic and ZOINBR model results showed highly significant relationships between LiDAR metrics and habitat types in explaining understorey coverage. The highest coefficients of determination included r2 = 0.80 for shrub cover (estimated by F/L-thinned data and ZOINBR model), r2 = 0.53 for herb cover (estimated by half-thinned data and logistic model) and r2 = 0.48 for moss cover (estimated by half-thinned data and logistic model). RF models returned the best predictive performances (i.e. the lowest root mean square errors). Despite slight differences, no substantial difference was observed amongst the performances achieved by the original, half-thinned and F/L-thinned point clouds. Moreover, the ZOINBR models did not improve predictive performances compared with the logistic model, which suggests that the latter should be preferred due to its greater simplicity and parsimony. Despite the differences between our simulated data and the real-world LiDAR point clouds of different point densities, the results of this study are thought to mostly reflect how LiDAR and forest habitat data can be combined for deriving ecologically relevant information on temperate forest understorey vegetation layers. This, in turn, increases the applicability of prediction results for overarching aims such as forest and wildlife management. Numéro de notice : A2017-906 Thématique : FORET/MATHEMATIQUE Nature : Article DOI : 10.1093/forestry/cpw066 date de publication en ligne : 27/01/2017 En ligne : https://doi.org/10.1093/forestry/cpw066 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93195 [article]

Using Landsat time series for characterizing forest disturbance dynamics in the coupled human and natural systems of Central Europe / Cornelius Senf in ISPRS Journal of photogrammetry and remote sensing, vol 130 (August 2017)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 130 (August 2017) . - pp 453 - 463 Titre : Using Landsat time series for characterizing forest disturbance dynamics in the coupled human and natural systems of Central Europe Type de document : Article/Communication Auteurs : Cornelius Senf, Auteur ; Dirk Pflugmacher, Auteur ; Patrick Hostert, Auteur ; Rupert Seidl, Auteur Année de publication : 2017 Article en page(s) : pp 453 - 463 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes descripteurs IGN] aire protégée [Termes descripteurs IGN] Allemagne [Termes descripteurs IGN] analyse spatio-temporelle [Termes descripteurs IGN] Autriche [Termes descripteurs IGN] dynamique spatiale [Termes descripteurs IGN] écosystème forestier [Termes descripteurs IGN] Europe centrale [Termes descripteurs IGN] gestion forestière [Termes descripteurs IGN] habitat forestier [Termes descripteurs IGN] image Landsat [Termes descripteurs IGN] interaction homme-milieu [Termes descripteurs IGN] milieu naturel [Termes descripteurs IGN] parc naturel national [Termes descripteurs IGN] placette d'échantillonnage [Termes descripteurs IGN] Pologne [Termes descripteurs IGN] République Tchèque [Termes descripteurs IGN] série temporelle [Termes descripteurs IGN] Slovaquie [Termes descripteurs IGN] sylviculture Résumé : (Auteur) Remote sensing is a key information source for improving the spatiotemporal understanding of forest ecosystem dynamics. Yet, the mapping and attribution of forest change remains challenging, particularly in areas where a number of interacting disturbance agents simultaneously affect forest development. The forest ecosystems of Central Europe are coupled human and natural systems, with natural and human disturbances affecting forests both individually and in combination. To better understand the complex forest disturbance dynamics in such systems, we utilize 32-year Landsat time series to map forest disturbances in five sites across Austria, the Czech Republic, Germany, Poland, and Slovakia. All sites consisted of a National Park and the surrounding forests, reflecting three management zones of different levels of human influence (managed, protected, strictly protected). This allowed for a comparison of spectral, temporal, and spatial disturbance patterns across a gradient from natural to coupled human and natural disturbances. Disturbance maps achieved overall accuracies ranging from 81% to 93%. Disturbance patches were generally small, with 95% of the disturbances being smaller than 10 ha. Disturbance rates ranged from 0.29% yr−1 to 0.95% yr−1, and differed substantially among management zones and study sites. Natural disturbances in strictly protected areas were longer in duration (median of 8 years) and slightly less variable in magnitude compared to human-dominated disturbances in managed forests (median duration of 1 year). However, temporal dynamics between natural and human-dominated disturbances showed strong synchrony, suggesting that disturbance peaks are driven by natural events affecting managed and unmanaged areas simultaneously. Our study demonstrates the potential of remote sensing for mapping forest disturbances in coupled human and natural systems, such as the forests of Central Europe. Yet, we also highlight the complexity of such systems in terms of agent attribution, as many natural disturbances are modified by management responding to them outside protected areas. Numéro de notice : A2017-520 Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2017.07.004 En ligne : https://doi.org/10.1016/j.isprsjprs.2017.07.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86482 [article]

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Recent growth changes in Western European forests are driven by climate warming and structured across tree species climatic habitats / Marie Charru in Annals of Forest Science [en ligne], vol 74 n° 2 (June 2017)  

Public [article]  inAnnals of Forest Science [en ligne] > vol 74 n° 2 (June 2017) Titre : Recent growth changes in Western European forests are driven by climate warming and structured across tree species climatic habitats Type de document : Article/Communication Auteurs : Marie Charru, Auteur ; Ingrid Seynave, Auteur ; Jean-Christophe Hervé , Auteur ; Romain Bertrand, Auteur ; Jean-Daniel Bontemps , Auteur Année de publication : 2017 Projets : 1-Pas de projet / Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] arbre (flore) [Termes descripteurs IGN] changement climatique [Termes descripteurs IGN] croissance végétale [Termes descripteurs IGN] Europe (géographie politique) [Termes descripteurs IGN] forêt [Termes descripteurs IGN] habitat forestier [Termes descripteurs IGN] inventaire forestier national (données France) [Termes descripteurs IGN] précipitation [Termes descripteurs IGN] température au sol [Vedettes matières IGN] Végétation et changement climatique Résumé : (auteur) Key message : Recent growth changes (1980–2007) in Western European forests strongly vary across tree species, and range from +42% in mountain contexts to −17% in Mediterranean contexts. These changes reveal recent climate warming footprint and are structured by species' temperature (−) and precipitation (+) growing conditions. Context : Unprecedented climate warming impacts forests extensively, questioning the respective roles of climatic habitats and tree species in forest growth responses. National forest inventories ensure a repeated and spatially systematic monitoring of forests and form a unique contributing data source. Aims : A primary aim of this paper was to estimate recent growth changes in eight major European tree species, in natural contexts ranging from mountain to Mediterranean. A second aim was to explore their association with species’ climatic habitat and contemporary climate change. Methods : Using >315,000 tree increments measured in >25,000 NFI plots, temporal changes in stand basal area increment (BAI) were modelled. Indicators of climate normals and of recent climatic change were correlated to species BAI changes. Results : BAI changes spanned from −17 to +42% over 1980–2007 across species. BAI strongly increased for mountain species, showed moderate/no increase for generalist and temperate lowland species and declined for Mediterranean species. BAI changes were greater in colder/wetter contexts than in warmer/drier ones where declines were observed. This suggested a role for climate warming, further found more intense in colder contexts and strongly correlated with species BAI changes. Conclusion : The predominant role of climate warming and species climatic habitat in recent growth changes is highlighted in Western Europe. Concern is raised for Mediterranean species, showing growth decreases in a warmer climate with stable precipitation. Numéro de notice : A2017-279 Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s13595-017-0626-1 En ligne : https://doi.org/10.1007/s13595-017-0626-1 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85312 [article]

Dynamics of fungal community composition, decomposition and resulting deadwood properties in logs of Fagus sylvatica, Picea abies and Pinus sylvestris / Tobias Arnstadt in Forest ecology and management, vol 382 (15 December 2016)  

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Land ownership affects diversity and abundance of tree microhabitats in deciduous temperate forests / Franz Johann in Forest ecology and management, vol 380 (15 november 2016)  

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Open-grown trees as key habitats for arthropods in temperate woodlands: The diversity, composition, and conservation value of associated communities / Pavel Sebek in Forest ecology and management, vol 380 (15 november 2016)  

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Natural regeneration of Pinus pinaster and Eucalyptus globulus from plantation into adjacent natural habitats / Patricia Fernandes in Forest ecology and management, vol 378 (15 October 2016)  

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Deux systèmes d’évaluation du statut de conservation des espèces en France : complémentarité ou redondance ? Cas de la liste rouge et du rapport sur l’état de conservation pour la directive habitats-faune-flore / Renaud Puissauve in Revue d'écologie, vol 71 n° 4 (octobre - décembre 2016)

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Premiers éléments pour un dispositif de surveillance de l’état de conservation des habitats forestiers en France / Fabienne Benest in Revue forestière française [en ligne], vol 68 n° 5 (septembre 2016)  

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État de conservation des habitats forestiers : deux échelles d’évaluation différentes pour des objectifs distincts / Julie Dorioz in Les échos d'Ecofor, n° 37 (juillet 2016)

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Wildlife management using aiborne Lidar / Joan Hagar in GIM international [en ligne], vol 30 n° 7 (July 2016)

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The dynamics of northern red oak (Quercus rubra L.) in managed forests of central Poland / Damian Głowacki in Forest research papers, vol 77 n° 1 (March 2016)  

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Estimating over- and understorey canopy density of temperate mixed stands by airborne LiDAR data / Hooman Latifi in Forestry, an international journal of forest research, vol 89 n° 1 (January 2016)  

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