DOI: 10.1016/j.foreco.2014.07.009
Scopus记录号: 2-s2.0-84905159687
论文题名: A high resolution predictive model for relict trees in the Mediterranean-mountain forests (Pinus sylvestris L., P. nigra Arnold and Abies pinsapo Boiss.) from the south of Spain: A reliable management tool for reforestation
作者: López-Tirado J. ; Hidalgo P.J.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2014
卷: 330 起始页码: 105
结束页码: 114
语种: 英语
英文关键词: Abies pinsapo
; Pinus nigra
; Pinus sylvestris
; Reforestation programs
; Relict Mediterranean-mountain forests
; Spatial modeling
Scopus关键词: Biodiversity
; Climate change
; Landforms
; Reforestation
; Abies pinsapo
; Pinus nigra
; Pinus sylvestris
; Relict Mediterranean-mountain forests
; Spatial modeling
; Population distribution
; biodiversity
; environmental conditions
; forest management
; montane forest
; reforestation
; regional climate
; tree
; Iberian Peninsula
; Mediterranean Sea
英文摘要: Species which have suffered a contraction of their original distribution in a recent stage of the Earth's history due to climate changes are termed climate relicts. In the Mediterranean basin, one of the most important hotspots of biodiversity in the world, many relict tree species remain in the mountain ranges. The Baetic range, situated in the southeast of the Iberian Peninsula, comprises three of these taxa (Pinus sylvestris L. var. nevadensis H. Christ, Pinus nigra Arnold subsp. salzmannii (Dunal) Franco and Abies pinsapo Boiss.), which grow in enclaves of suitable environmental conditions surrounded by an inhospitable regional climate. A high resolution predictive model for these species was carried out by making a grid of points with a resolution of 250. m, in which twelve explanatory variables were used: four topographical and eight climatic or bioclimatic. This grid also contains information about the presence/absence of the three species involved, which was used as the dependent variable. Then, a modeling process was carried out by means of binary logistic regression. According to the obtained model, climatic and bioclimatic independent variables (especially seasonal rainfall and mean temperatures) are more responsible for species distribution than topographic ones. The final potential distribution was found to be larger than the current one for all three species. This study is able to predict, with a high degree of accuracy, the potential distribution of the three species involved, and it is therefore proposed to implement reforestation programs at small-scale with high resolution (250. m). Other relict tree species from the Mediterranean basin or other places in the world could be modeled in the same way depending on measured variables. © 2014 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/65764
Appears in Collections: 影响、适应和脆弱性
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作者单位: Department of Environmental Biology and Public Health, Faculty of Experimental Sciences, Marine International Campus of Excellence (CEIMAR), University of Huelva, Avda. Tres de Marzo s/n, Huelva-21071, Spain
Recommended Citation:
López-Tirado J.,Hidalgo P.J.. A high resolution predictive model for relict trees in the Mediterranean-mountain forests (Pinus sylvestris L., P. nigra Arnold and Abies pinsapo Boiss.) from the south of Spain: A reliable management tool for reforestation[J]. Forest Ecology and Management,2014-01-01,330