globalchange  > 气候减缓与适应
DOI: 10.1016/j.quascirev.2018.08.015
Scopus记录号: 2-s2.0-85054147673
论文题名:
Spatial sampling bias in the Neotoma paleoecological archives affects species paleo-distribution models
作者: Inman R.; Franklin J.; Esque T.; Nussear K.
刊名: Quaternary Science Reviews
ISSN: 2773791
出版年: 2018
卷: 198
起始页码: 115
结束页码: 125
语种: 英语
英文关键词: Data analysis ; Data treatment ; Holocene ; Macrofossils ; Neotoma ; Niche breadth ; North America ; Paleogeography ; Spatial sampling bias ; Species distribution modeling
Scopus关键词: Biological materials preservation ; Data reduction ; Population distribution ; Sampling ; Data treatment ; Holocenes ; Macrofossils ; Neotoma ; Niche breadth ; North America ; Paleogeography ; Spatial sampling ; Species distribution modeling ; Spatial distribution ; Neotoma
英文摘要: The ability to infer paleo-distributions with limited knowledge of absence makes species distribution modeling (SDM) a useful tool for exploring paleobiogeographic questions. Spatial sampling bias is a known issue when modeling extant species. Here we quantify the spatial sampling bias in a North American packrat midden archive and explore its impact on estimating paleo-distributions. We test whether (1) spatial sampling bias inherent in this macrofossil record can influence estimates of paleo-distributions, (2) this bias can alter the ability to measure shifts in distributions and climatic niche breadth from the Northgrippian subdivision of the Holocene (8.3 ka – 4.2 ka) to present day (1950–2000 yr), and (3) bias correction methods can improve estimates of paleo-distributions and analyses of range shifts and niche breadth. We estimate spatial sampling bias for the mid-Holocene period with a three-stage statistical model, each representing a hypothesized source of bias: fossil site availability, preservation and accessibility. This approach enables the use of SDM to evaluate three separate paleo-distributions calibrated on the packrat midden archive: those without bias correction (σ-naïve), those created with a standard method (σ-standard), and those created with a novel alternative (σ-modeled) incorporating the three-stage model of bias. We find that paleo-distributions modeled for the mid-Holocene without bias correction (σ-naïve) provided poor estimates of hindcast paleo-distributions, and that the σ-modeled correction method improved paleo-distributions for our six species with, on average, 50% higher overlap to hindcast distributions than σ-naïve paleo-distributions (σ-standard results fell between σ-naïve and σ-modeled). © 2018
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/112047
Appears in Collections:气候减缓与适应

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作者单位: US Geological Survey, Western Ecological Research Center, Las Vegas Field Station, 160 N. Stephanie Street, Henderson, NV 89074, United States; School of Geographical Sciences and Urban Planning, Arizona State University, PO Box 875302, Tempe, AZ 85287, United States; Department of Botany and Plant Sciences, University of California – Riverside, 900 University Ave, Riverside, CA 92521, United States; Department of Geography, University of Nevada – Reno, 1664 N. Virginia Street, Reno, NV 89557, United States

Recommended Citation:
Inman R.,Franklin J.,Esque T.,et al. Spatial sampling bias in the Neotoma paleoecological archives affects species paleo-distribution models[J]. Quaternary Science Reviews,2018-01-01,198
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