Beth Tellman

Dr. Beth Tellman

orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 August 2021 in Nature
Verified
Journal Article
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BTB. Tellman
B. Tellman
JSJ. A. Sullivan
J. A. Sullivan
CKCatherine Kuhn
Catherine Kuhn
AKA. J. Kettner
A. J. Kettner
CDC. S. Doyle
C. S. Doyle
DSDaniel Slayback
Daniel Slayback

1 February 2018 in Remote Sensing of Environment
Verified
Journal Article
Closed access
RGRan Goldblatt
Ran Goldblatt
MSMichelle F. Stuhlmacher
Michelle F. Stuhlmacher
BTBeth Tellman
Beth Tellman
NCNicholas Clinton
Nicholas Clinton
GHGordon Hanson
Gordon Hanson
RBRobert C. Balling
Robert C. Balling

15 September 2017 in Science
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Journal Article
Closed access
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CPChandler Puritty
Chandler Puritty
LSLynette R. Strickland
Lynette R. Strickland
EAEanas Alia
Eanas Alia
BBBenjamin Blonder
Benjamin Blonder
EKEmily Klein
Emily Klein
LGLeah R. Gerber
Leah R. Gerber
Focus on minority experiences in STEM, not just numbers

1 January 2018 in Ecology and Society
Verified
Journal Article
Open access
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BTBeth Tellman
Beth Tellman
JBJulia Bausch
Julia Bausch
HEHallie Eakin
Hallie Eakin
JAJohn M. Anderies
John M. Anderies
MMMarisa Mazari-Hiriart
Marisa Mazari-Hiriart
CRCharles L. Redman
Charles L. Redman
Tellman, B., J. C. Bausch, H. Eakin, J. M. Anderies, M. Mazari-Hiriart, D. Manuel-Navarrete, and C. L. Redman. 2018. Adaptive pathways and coupled infrastructure: seven centuries of adaptation to water risk and the production of vulnerability in Mexico City. Ecology and Society 23(1):1. https://doi.org/10.5751/ES-09712-230101

27 July 2020 in Sustainability
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Journal Article
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BTBeth Tellman
Beth Tellman
CSCody Schank
Cody Schank
BSBessie Schwarz
Bessie Schwarz
PHPeter D. Howe
Peter D. Howe
ASAlex De Sherbinin
Alex De Sherbinin
Social vulnerability indicators seek to identify populations susceptible to hazards based on aggregated sociodemographic data. Vulnerability indices are rarely validated with disaster outcome data at broad spatial scales, making it difficult to develop effective national scale strategies to mitigate loss for vulnerable populations. This paper validates social vulnerability indicators using two flood outcomes: death and damage. Regression models identify sociodemographic factors associated with variation in outcomes from 11,629 non-coastal flood events in the USA (2008–2012), controlling for flood intensity using stream gauge data. We compare models with (i) socioeconomic variables, (ii) the composite social vulnerability index (SoVI), and (iii) flood intensity variables only. The SoVI explains a larger portion of the variance in death (AIC = 2829) and damage (R2 = 0.125) than flood intensity alone (death—AIC = 2894; damage—R2 = 0.089), and models with individual sociodemographic factors perform best (death—AIC = 2696; damage—R2 = 0.229). Socioeconomic variables correlated with death (rural counties with a high proportion of elderly and young) differ from those related to property damage (rural counties with high percentage of Black, Hispanic and Native American populations below the poverty line). Results confirm that social vulnerability influences death and damage from floods in the USA. Model results indicate that social vulnerability models related to specific hazards and outcomes perform better than generic social vulnerability indices (e.g., SoVI) in predicting non-coastal flood death and damage. Hazard- and outcome-specific indices could be used to better direct efforts to ameliorate flood death and damage towards the people and places that need it most. Future validation studies should examine other flood outcomes, such as evacuation, migration and health, across scales.

1 May 2017 in Environmental Research Letters
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Journal Article
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SSSteven Sesnie
Steven Sesnie
BTBeth Tellman
Beth Tellman
DWDavid Wrathall
David Wrathall
KMKendra McSweeney
Kendra McSweeney
ENErik Nielsen
Erik Nielsen
LRLuis Rey
Luis Rey