globalchange  > 气候变化事实与影响
DOI: 10.1111/jvs.12726
WOS记录号: WOS:000466421500020
论文题名:
Hierarchical species distribution models in support of vegetation conservation at the landscape scale
作者: Mateo, Ruben G.1,2,3; Gaston, Aitor1; Jose Aroca-Fernandez, Maria1; Broennimann, Olivier4,5; Guisan, Antoine4,5; Saura, Santiago1,6; Ignacio Garcia-Vinas, Juan1
通讯作者: Mateo, Ruben G.
刊名: JOURNAL OF VEGETATION SCIENCE
ISSN: 1100-9233
EISSN: 1654-1103
出版年: 2019
卷: 30, 期:2, 页码:386-396
语种: 英语
英文关键词: conservation plan ; ecological drivers ; ensemble modeling ; environmental niche ; forest management ; habitat suitability ; hierarchical species distribution models ; plants ; spatial distribution ; species distribution modeling ; vegetation restoration
WOS关键词: CLIMATE-CHANGE ; HABITAT SUITABILITY ; RESTORATION ; PREDICTION ; RARE ; STRATEGIES ; FRAMEWORK ; BIODIVERSITY ; OCCURRENCES ; UNCERTAINTY
WOS学科分类: Plant Sciences ; Ecology ; Forestry
WOS研究方向: Plant Sciences ; Environmental Sciences & Ecology ; Forestry
英文摘要:

Questions Species distribution models (SDMs) based on habitat suitability and niche quantification are powerful tools in vegetation science. Recent findings suggest that they could be applied at the landscape scale as vegetation conservation tools, but that some environmental dimensions (e.g., climate) need to be considered at larger scales. What is the importance of applying hierarchical SDMs combining information from different scales to ensure consistent local vegetation management decisions? Study Site Mainland Spain and Biosphere Reserve of Sierra del Rincon (central Spain). Methods We generated SDMs for five tree species at the regional scale (mainland Spain) using climatic variables plus presence/absence data from the Spanish National Forest Inventory; and at the landscape scale (Sierra del Rincon Biosphere Reserve) using local environmental variables plus locally gathered vegetation presence/absence data. Predictions of both regional and landscape models were combined at the landscape scale following two different hierarchical approaches. The four resulting predictions were compared with correlation coefficients and independently evaluated with the AUC statistic and data collected in the study area. Results The regional SDMs depict suitable climatic conditions for the tree species, while the landscape SDMs capture important local ecological drivers that influence habitat suitability at finer scales. Expectedly, the regional SDMs predict larger suitable areas than the landscape SDMs. The predictions from the hierarchical approaches are reliable and provide on average better results than non-hierarchical ones. Conclusions SDMs can be valuable tools for local plant conservation programs. We present examples of the applicability of a hierarchical modeling approach and conceptual and methodological solutions related to the use of these tools in local vegetation conservation programs. For example, we show that landscape SDMs could be used to determine the current distribution of endangered plant species, while a hierarchical approach would be better suited to define areas to re-vegetate within a local restoration program.


Citation statistics:
被引频次[WOS]:31   [查看WOS记录]     [查看WOS中相关记录]
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/130818
Appears in Collections:气候变化事实与影响

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作者单位: 1.Univ Politecn Madrid, MONTES ETSI Montes Forestal & Medio Nat, Madrid, Spain
2.Univ Autonoma Madrid, Dept Biol Bot, Madrid, Spain
3.UAM, CIBC, Ctr Invest Biodiversidad & Cambio Global, Madrid, Spain
4.Univ Lausanne, Dept Ecol & Evolut, Lausanne, Switzerland
5.Univ Lausanne, Inst Earth Surface Dynam, Lausanne, Switzerland
6.European Commiss, JRC, Ispra, Italy

Recommended Citation:
Mateo, Ruben G.,Gaston, Aitor,Jose Aroca-Fernandez, Maria,et al. Hierarchical species distribution models in support of vegetation conservation at the landscape scale[J]. JOURNAL OF VEGETATION SCIENCE,2019-01-01,30(2):386-396
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