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Ahjond Garmestani   Dr.  Senior Scientist or Principal Investigator 
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Ahjond Garmestani published an article in November 2018.
Top co-authors See all
Igor Linkov

264 shared publications

Environmental Lab, Engineer Research and Development Center, US Army Corps of Engineers, Washington, USA

Nicholas A. J. Graham

130 shared publications

Lancaster Environment Centre Lancaster University Lancaster UK

Craig A. Stow

121 shared publications

NOAA Great Lakes Environmental Research Laboratory Ann Arbor MI USA

Craig R. Allen

118 shared publications

U.S. Geological Survey, Nebraska Cooperative Fish and Wildlife Research Unit, School of Natural Resources, University of Nebraska–Lincoln, Lincoln, USA

Mirco Bundschuh

113 shared publications

Institute for Environmental Sciences, University of Koblenz-Landau, Landau, Germany

92
Publications
46
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1
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297
Citations
Publication Record
Distribution of Articles published per year 
(2011 - 2018)
Total number of journals
published in
 
24
 
Publications See all
Article 0 Reads 0 Citations Early Warnings for State Transitions Caleb P. Roberts, Dirac Twidwell, Jessica L. Burnett, Victor... Published: 01 November 2018
Rangeland Ecology & Management, doi: 10.1016/j.rama.2018.04.012
DOI See at publisher website
Article 1 Read 1 Citation Resilience in Environmental Risk and Impact Assessment: Concepts and Measurement David G. Angeler, Craig R. Allen, Ahjond Garmestani, Kevin L... Published: 24 October 2018
Bulletin of Environmental Contamination and Toxicology, doi: 10.1007/s00128-018-2467-5
DOI See at publisher website PubMed View at PubMed ABS Show/hide abstract
Different resilience concepts have different assumptions about system dynamics, which has implications for resilience-based environmental risk and impact assessment. Engineering resilience (recovery) dominates in the risk assessment literature but this definition does not account for the possibility of ecosystems to exist in multiple regimes. In this paper we discuss resilience concepts and quantification methods. Specifically, we discuss when a system fails to show engineering resilience after disturbances, indicating a shift to a potentially undesired regime. We show quantification methods that can assess the stability of this new regime to inform managers about possibilities to transform the system to a more desired regime. We point out the usefulness of an adaptive inference, modelling and management approach that is based on reiterative testing of hypothesis. This process facilitates learning about, and reduces uncertainty arising from risk and impact.
Article 0 Reads 0 Citations The perpetual state of emergency that sacrifices protected areas in a changing climate Dirac Twidwell, Carissa L. Wonkka, Christine H. Bielski, Cra... Published: 15 May 2018
Conservation Biology, doi: 10.1111/cobi.13099
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Article 0 Reads 2 Citations Enhancing quantitative approaches for assessing community resilience. W.C. Chuang, A. Garmestani, T.N. Eason, T.L. Spanbauer, H.B.... Published: 01 May 2018
Journal of Environmental Management, doi: 10.1016/j.jenvman.2018.01.083
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BOOK-CHAPTER 2 Reads 0 Citations Legal Pathways to Adaptive Governance in Water Basins in North America and Australia Barbara Cosens, Robin Kundis Craig, Shana Hirsch, Craig Anth... Published: 19 April 2018
Practical Panarchy for Adaptive Water Governance, doi: 10.1007/978-3-319-72472-0_10
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BOOK-CHAPTER 0 Reads 0 Citations Stability and Flexibility in the Emergence of Adaptive Water Governance Robin Kundis Craig, Ahjond S. Garmestani, Craig R. Allen, Cr... Published: 19 April 2018
Practical Panarchy for Adaptive Water Governance, doi: 10.1007/978-3-319-72472-0_11
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