DOI: 10.1016/j.foreco.2016.03.030
Scopus记录号: 2-s2.0-84961119943
论文题名: Landscape to site variations in species distribution models for endangered plants
作者: Rovzar C. ; Gillespie T.W. ; Kawelo K.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2016
卷: 369 起始页码: 20
结束页码: 28
语种: 英语
英文关键词: Dry forest
; Endangered species
; Hawaii
; Oceanic island
; Restoration
; Species distribution model
Scopus关键词: Conservation
; Ecosystems
; Forestry
; Image reconstruction
; Plants (botany)
; Restoration
; Soils
; Dry forests
; Endangered species
; Hawaii
; Oceanic islands
; Species distribution modeling
; Population distribution
; dry forest
; endangered species
; extinction risk
; landscape
; niche overlap
; plant
; protected area
; reintroduction
; restoration ecology
; species diversity
; Hawaii [United States]
; Hawaiian Islands
; Oahu
英文摘要: Present global plant extinction rates are 100-1000 times greater than pre-human levels and this is especially true on oceanic islands. There is a great need to model the distributions of endangered plants for reintroduction on oceanic islands, however, there are still questions concerning what is the most appropriate spatial scale and which environmental metrics should be included in order to guide restoration efforts. We examine the impact of spatial scale (1 km, 250 m, 10 m), environmental metrics (climate, topography, soils), and species overlap for 11 rare and endangered species in the dry forest of Oahu, Hawaii, which is one of the world's most endangered ecosystems, and contains some of the highest resolution data on species locations and environmental metrics for an oceanic island. At all spatial scales, the species distribution models reliably differentiated between occupied habitat and background for all 11 species (AUC ≥ 0.92). The relative importance of the environmental metrics did not vary across spatial scales with soil great group contributing most to the models followed by elevation, and mean precipitation of the driest quarter. The percent of the total island area with niche overlap for two or more species did not show any pattern with grain size, however, the 10 m model contained the largest areas of niche overlap for two or more species. There were 1292 10 m pixels on Oahu where models predict niche overlap for eight endangered species, however, only 1.2% of the total area is currently in protected areas. Results suggests that species distribution models are useful for predicting habitat suitability at all scales (1 km, 250 m, 10 m), environmental metrics do not change across scales but high resolution data on soils, topography, and precipitation are needed, and 10 m resolution data are the best for informing restoration decisions for the endangered species on Hawaii and other oceanic islands. © 2016 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/64961
Appears in Collections: 影响、适应和脆弱性
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作者单位: Department of Geography, University of California Los Angeles, Los Angeles, CA, United States; Environmental Division Directorate of Public Works, United States Army GarrisonHI, United States
Recommended Citation:
Rovzar C.,Gillespie T.W.,Kawelo K.. Landscape to site variations in species distribution models for endangered plants[J]. Forest Ecology and Management,2016-01-01,369