Modeling tree-growth: Assessing climate suitability of temperate forests growing in Moncayo Natural Park (Spain)

Publikationstyp:
Zeitschriftenaufsatz
Metadaten:
Autoren
Autoren-URL
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000457950000015&DestLinkType=FullRecord&DestApp=WOS_CPL
DOI
10.1016/j.foreco.2018.12.051
eISSN
1872-7042
Externe Identifier
  • Clarivate Analytics Document Solution ID: HK4RE
ISSN
0378-1127
Zeitschrift
FOREST ECOLOGY AND MANAGEMENT
Schlüsselwörter
  • Forest management
  • Dendroecology
  • Forest expansion
  • GLMMs
  • Climate
Paginierung
128 - 137
Datum der Veröffentlichung
2019
Status
Published
Titel
Modeling tree-growth: Assessing climate suitability of temperate forests growing in Moncayo Natural Park (Spain)
Sub types
  • Article
Ausgabe der Zeitschrift
435

Datenquelle: Web of Science (Lite)

Andere Metadatenquellen:
Autoren
  • Edurne Martínez del Castillo
  • Luis Alberto Longares
  • Roberto Serrano-Notivoli
  • Martin de Luis
DOI
10.1016/j.foreco.2018.12.051
ISSN
0378-1127
Zeitschrift
Forest Ecology and Management
Sprache
en
Paginierung
128 - 137
Datum der Veröffentlichung
2019
Status
Published
Herausgeber
Elsevier BV
Herausgeber URL
http://dx.doi.org/10.1016/j.foreco.2018.12.051
Datum der Datenerfassung
2019
Titel
Modeling tree-growth: Assessing climate suitability of temperate forests growing in Moncayo Natural Park (Spain)
Ausgabe der Zeitschrift
435

Datenquelle: Crossref

Abstract
In the past few decades, temperate forests have been negatively altered by numerous anthropogenic activities and by the impact of ongoing climate change. These changes may require management actions to help preserve some forest tree species. In this sense, highly-detailed knowledge of tree growth and survival across territorial and climatic gradients will be important for forest conservation. We developed a novel approach to determine the optimal zones of forest growth and expansion through climate suitability maps, using a dense tree-ring network of four forest species in Moncayo Natural Park and high-resolution climate data. Our results showed that the mixed-effects models developed using climate data and tree size were able to predict between 65 and 80% of growth variability along the climatic gradient. All studied species were influenced by climate, and the relationship between growth and climate significantly differed along the prevailing climate gradient. Moreover, the suitability maps showed that the current species distribution is limited, and their application may serve as a tool for adaptive management in forests subjected to climate change.
Autoren
  • Edurne Martínez del Castillo
  • Luis Alberto Longares
  • Roberto Serrano-Notivoli
  • Martin de Luis
DOI
10.1016/j.foreco.2018.12.051
Funding acknowledgements
  • Spanish Ministry of Economy and competitiveness: CGL2012-31668
  • DGA-La Caixa: GA-LC-031/2010
  • Spanish Ministry of Economy and competitiveness: CGL2015-69985-R
Open access
false
ISSN
0378-1127
Zeitschrift
Forest ecology and management
Sprache
eng
Medium
Undetermined
Paginierung
128 - 137
Datum der Veröffentlichung
2019
Status
Published
Datum der Datenerfassung
2019
Titel
Modeling tree-growth: Assessing climate suitability of temperate forests growing in Moncayo Natural Park (Spain)
Sub types
  • Journal Article
Ausgabe der Zeitschrift
435

Datenquelle: Europe PubMed Central

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