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RESEARCH INTERESTS & PROJECTS
The Quantitative Ecology Lab is focused on the statistically efficient integration of ecological data into evidence-based conservation. The lab’s work is structured around two separate, but complementary, lines of research. The first falls under an umbrella termed ‘Biology or bias’, and is aimed at developing novel statistical methods, understanding when/why different analytical approaches lead to differing conclusions, and how to avoid estimation bias. The over-arching theme of this work is to demonstrate how the use of biased estimators and/or incorrect statistical procedures can generate misinformative results that weaken both ecological theory and evidence-based conservation initiatives. The second focuses on macro-ecology and species conservation by pairing high quality data with cutting edge analytical tools.
The Quantitative Ecology Lab is focused on the statistically efficient integration of ecological data into evidence-based conservation. The lab’s work is structured around two separate, but complementary, lines of research. The first falls under an umbrella termed ‘Biology or bias’, and is aimed at developing novel statistical methods, understanding when/why different analytical approaches lead to differing conclusions, and how to avoid estimation bias. The over-arching theme of this work is to demonstrate how the use of biased estimators and/or incorrect statistical procedures can generate misinformative results that weaken both ecological theory and evidence-based conservation initiatives. The second focuses on macro-ecology and species conservation by pairing high quality data with cutting edge analytical tools.
研究兴趣
论文共 59 篇作者统计合作学者相似作者
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Global change biologyno. 4 (2024): e17286-e17286
引用14浏览0WOSSCIENCE引用
14
0
biorxiv(2023)
引用0浏览0引用
0
0
William F. Fagan, Anand Krishnan, Qiuyan Liao,Christen H. Fleming, David Liao,Clayton T. Lamb,Brent R. Patterson,Tyler Wheeldon,Ricardo Martinez‐Garcia, José Elmo de Menezes,Michael Noonan,Eliezer Gurarie,
bioRxiv (Cold Spring Harbor Laboratory) (2023)
bioRxiv (Cold Spring Harbor Laboratory)pp.1-15, (2023)
bioRxiv (Cold Spring Harbor Laboratory) (2023)
引用2浏览0引用
2
0
ANIMAL CONSERVATIONno. 1 (2023): 72-85
biorxiv(2023)
引用0浏览0引用
0
0
Journal of Biogeographyno. 8 (2023): 1405-1408
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