Alexa White
University of Michigan
4 Papers
Alexa White is an academic researcher from University of Michigan. The author has contributed to research in topics: Storm & Carbon neutrality. The author has an hindex of 2, co-authored 2 publications.
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Papers
Ecological complexity and contingency: Ants and lizards affect biological control of the coffee leaf miner in Puerto Rico
TL;DR: The structural complexity of a trait-mediated indirect effect occurs both in Mexico and Puerto Rico and potentially limits the effectiveness of biological control elements, but the contingencies are distinct in the two sites.
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How UNFCCC's COP Can Achieve Carbon Neutrality
Natasha Dacic,Alexa White,Ranveer Ajimal,Katelyn Boisvert,Lunia Oriol,Sivah Akash +5 more
- 28 Mar 2022
TL;DR: In this paper , the authors discuss techniques to reduce carbon emissions without settling for offsets from an individual and conference scale, and the UNFCCC COP can reduce its overall emissions significantly by implementing a hybrid conference model and more sustainable conference choices.
Looking beyond land-use and land-cover change: Zoonoses emerge in the agricultural matrix
Ivette Perfecto,Luis Fernando Chaves,Gordon M. Fitch,Zachary Hajian-Forooshani,Benjamin Iuliano,Kevin Li,Nicholas Medina,Jonathan Morris,Beatriz Otero Jiménez,Iris Saraeny Rivera-Salinas,Chenyang Su,John Vandermeer,Alexa White,Kimberly Williams-Guillén +13 more
TL;DR: Agricultural systems' socioecological characteristics influence zoonosis emergence, with diverse, small-scale, and agroecological matrices conferring "landscape immunity" and decreasing the probability of zoonosis emergence, while homogeneous landscapes increase risk.
Response of Coffee Farms to Hurricane Maria: Resistance and Resilience from an Extreme Climatic Event.
Ivette Perfecto,Zachary Hajian-Forooshani,Aaron L. Iverson,Amarilys D. Irizarry,Javier Lugo-Pérez,Nicholas Medina,Chatura Vaidya,Alexa White,John Vandermeer +8 more
TL;DR: It is found that management style had only a small effect on either resistance or resilience, likely due to the especially strong nature of the storm, and the socio-political context of individual farms seems to be a more useful predictor of resilience.