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This research project is part of a larger study of green infrastructure in urban planning and sustainability initiatives in cities across the U.S. Within the past few decades, the topic of sustainability has been at the forefront of city planners’ minds as cities grow, there is new or redevelopment, and

This research project is part of a larger study of green infrastructure in urban planning and sustainability initiatives in cities across the U.S. Within the past few decades, the topic of sustainability has been at the forefront of city planners’ minds as cities grow, there is new or redevelopment, and the threat of climate change and future climate variability increases. Green infrastructure is one increasingly popular urban sustainability strategy, which is widely promoted for its ability to provide multiple benefits. This multi-functionality translates into ecosystem services and possible disservices for a local community and the city as a whole. This research project examines 120 planning documents from 19 U.S. cities to examine whether the services cities say they expect green infrastructure to provide, or the rationale, match with the criteria used to determine where green infrastructure is sited. For this project, we ask: what are the rationales that cities provide for developing green infrastructure and what are the criteria cities are using to determine where to site it? We find that certain rationales, or benefits, are claimed without corresponding and specific siting criteria to substantiate how these benefits will be achieved, while other benefits, like those related to stormwater management, are prioritized over other potentially important benefits.
ContributorsColeman, Emma Ciara (Author) / Meerow, Sara (Thesis director) / Hoover, Fushcia-Ann (Committee member) / School of Molecular Sciences (Contributor) / School of Sustainability (Contributor) / Barrett, The Honors College (Contributor)
Created2020-12
Description

Agassiz’s desert tortoise (Gopherus agassizii) is a long-lived species native to the Mojave Desert and is listed as threatened under the US Endangered Species Act. To aid conservation efforts for preserving the genetic diversity of this species, we generated a whole genome reference sequence with an annotation based on dee

Agassiz’s desert tortoise (Gopherus agassizii) is a long-lived species native to the Mojave Desert and is listed as threatened under the US Endangered Species Act. To aid conservation efforts for preserving the genetic diversity of this species, we generated a whole genome reference sequence with an annotation based on deep transcriptome sequences of adult skeletal muscle, lung, brain, and blood. The draft genome assembly for G. agassizii has a scaffold N50 length of 252 kbp and a total length of 2.4 Gbp. Genome annotation reveals 20,172 protein-coding genes in the G. agassizii assembly, and that gene structure is more similar to chicken than other turtles. We provide a series of comparative analyses demonstrating (1) that turtles are among the slowest-evolving genome-enabled reptiles, (2) amino acid changes in genes controlling desert tortoise traits such as shell development, longevity and osmoregulation, and (3) fixed variants across the Gopherus species complex in genes related to desert adaptations, including circadian rhythm and innate immune response. This G. agassizii genome reference and annotation is the first such resource for any tortoise, and will serve as a foundation for future analysis of the genetic basis of adaptations to the desert environment, allow for investigation into genomic factors affecting tortoise health, disease and longevity, and serve as a valuable resource for additional studies in this species complex.

Data Availability: All genomic and transcriptomic sequence files are available from the NIH-NCBI BioProject database (accession numbers PRJNA352725, PRJNA352726, and PRJNA281763). All genome assembly, transcriptome assembly, predicted protein, transcript, genome annotation, repeatmasker, phylogenetic trees, .vcf and GO enrichment files are available on Harvard Dataverse (doi:10.7910/DVN/EH2S9K).

ContributorsTollis, Marc (Author) / DeNardo, Dale F (Author) / Cornelius, John A (Author) / Dolby, Greer A (Author) / Edwards, Taylor (Author) / Henen, Brian T. (Author) / Karl, Alice E. (Author) / Murphy, Robert W. (Author) / Kusumi, Kenro (Author)
Created2017-05-31