A-
A
A+

L'information grandeur nature

Centre de documentation
scientifique

Actualité

L'actu ! Horaires du CDOS

Le centre est ouvert en salle de travail du lundi au vendredi, de 08h30 à 19h00. Les prêts physiques sont suspendus pour le moment. Merci d'adr...

Consulter les archives

dernière publication

Dernière publication Consultez les parutions du CDoS

Informations pratiques

Le centre de documentation scientifique
de l'Institut est aussi celui de l'ENSG-Géomatique.

Envoyez un mail au contact ci-dessous pour vos demandes.

Contact : cdos@ign.fr

Comment venir ?
Pour se rendre au centre de documentation, se reporter au 'Plan d'accès au bâtiment' tout en bas de page à droite. Le centre se trouve dans le bâtiment de l'ENSG. On y accède par le hall, entre l'aile Cassini et l'aile Laplace.

Mots RAMEAU représentant le fonds du centre de documentation
géomatique, géodésie, réseaux (géodésie), systèmes de localisation par satellites,
imagerie satellitaire, traitement d'images, photogrammétrie, lasergrammétrie,
systèmes d'information géographique, données géospatiales, cartographie,
géographie - base de données

Nouvelle recherche

Article: Article/Communication

Interpreting effects of multiple, large-scale disturbances using national forest inventory data: A case study of standing dead trees in east Texas, USA / Christopher B. Edgar in Forest ecology and management, vol 437 (1 April 2019)

URL article

Public

[article]
inForest ecology and management > vol 437 (1 April 2019) . - pp 27-40

Titre :	Interpreting effects of multiple, large-scale disturbances using national forest inventory data: A case study of standing dead trees in east Texas, USA
Type de document :	Article/Communication
Auteurs :	Christopher B. Edgar, Auteur ; James A. Westfall, Auteur ; Paul A. Klockow, Auteur ; et al., Auteur
Année de publication :	2019
Article en page(s) :	pp 27-40
Note générale :	bibliographie
Langues :	Anglais (eng)
Descripteur :	[Termes IGN] agrégation temporelle [Termes IGN] analyse diachronique [Termes IGN] arbre mort [Termes IGN] catastrophe naturelle [Termes IGN] diamètre à hauteur de poitrine [Termes IGN] données dendrométriques [Termes IGN] échantillonnage [Termes IGN] gestion forestière [Termes IGN] insecte nuisible [Termes IGN] inventaire forestier étranger (données) [Termes IGN] jeu de données [Termes IGN] maladie phytosanitaire [Termes IGN] Pinus (genre) [Termes IGN] politique forestière [Termes IGN] Quercus (genre) [Termes IGN] sécheresse [Termes IGN] tempête [Termes IGN] Texas (Etats-Unis) [Vedettes matières IGN] Inventaire forestier
Résumé :	(auteur) Understanding the impacts of large-scale disturbances on forest conditions is necessary to support forest management, planning, and policy decision making. National forest inventories (NFIs) are an important information source that provide consistent data encompassing large areas, covering all ownerships, and extending through time. Here we compare how temporal aggregation approaches with NFI data affects estimates of standing dead trees as these respond to extreme disturbance events. East Texas was selected for this study owing to the occurrence of three significant disturbance events in a short span: Hurricane Rita in 2005, Hurricane Ike in 2008, and a historic drought in 2011. Wide-spread tree damage and mortality were reported after each disturbance and estimates of standing dead trees were used as the inventory variable for assessment. In the NFI of the US, the plot network is systematically divided into panels and one panel is measured each year. A measurement cycle is completed when all panels have been measured, which varies between 5 and 10 years depending on the region. Using the standard estimation approach of the US NFI, we computed population estimates using data from the full set of panels (FSP), multiple sets of panels (MSP), and single set of panels (SSP). For estimation, a single plot observation is computed from the most recent measurement of the plot that does not exceed the estimate year. Because one panel is measured per year, FSP and MSP estimates will necessarily consist of plot observations whose measurements were collected over a number of years. The SSP estimate is computed from one panel and thus all the plot observations are based on measurements collected over one year. We found that interpretations of disturbance event impacts varied depending on which sets of estimates were considered. All sets of estimates suggested a large and significant drought impact. However, differences existed among the estimates in the timing and magnitude of the impacts. The FSP estimates showed clear lag bias and smoothing of trends relative to the SSP estimates. MSP estimates were intermediate between FSP and SSP estimates. Differences in Hurricane Rita impacts were also observed between sets of estimates. Evidence of a net impact on standing dead trees following Hurricane Ike was weak among all sets of estimates. Given the potential for lag bias and smoothing, we recommend that SSP and MSP estimates be considered along with FSP estimates in assessments of large-scale disturbance impacts on forest conditions.
Numéro de notice :	A2019-483
Affiliation des auteurs :	non IGN
Thématique :	FORET
Nature :	Article
nature-HAL :	ArtAvecCL-RevueIntern
DOI :	10.1016/j.foreco.2019.01.027
Date de publication en ligne :	28/01/2019
En ligne :	https://doi.org/10.1016/j.foreco.2019.01.027
Format de la ressource électronique :	URL article
Permalink :	https://documentation.ensg.eu/index.php?lvl=notice_display&id=93659

vignette

IGN

IGN / ENSG

Centre de documentation
scientifique
6 et 8 Avenue Blaise Pascal
Cité Descartes
Champs-sur-Marne
77455 Marne la Vallée
Cedex 2
L'IGN a pour vocation

de décrire la surface du territoire national et l'occupation de son sol, et d'élaborer et de mettre à jour l'inventaire permanent des ressources forestières nationales.
Accès directs
2014 -2024 IGN