Advancements in genetic technology and processing allows for the presence of loose genetic material in the environment to become a resource, capable of assisting habitat and wildlife management efforts by providing information about organisms in a region without having to disturb or disrupt the organisms and environment. This use of environmental DNA has gained traction across biomes, with researchers continuing to test extraction and processing of DNA from various environmental media. However, the high variability in media quality, characteristics, and taxonomic knowledge means that the tested capabilities of eDNA vary wildly depending on the application and species of interest. In this thesis, I focus on the use of eDNA metabarcoding in freshwater streams in Maine, examining the ability and existing libraries of two genetic loci to identify Maine fish and macroinvertebrate species. eDNA results are compared against a traditional specimen-based surveying method utilized by the Maine Department of Environmental Protection and the Penobscot Nation’s Department of Natural Resources, and over time to monitor the success of stream restoration initiatives. While eDNA samples successfully detected fish and invertebrate species in both datasets, no strong correlation was found between benthic macroinvertebrate abundance counts and detected sequence variants. Furthermore, eDNA detection led to highly different community survey results than the specimen-based survey method, and limitations of available reference sequences indicate a strong need for localized references for future eDNA work. While eDNA was able to identify ASVs at a higher clarity than the specimen-based survey method, only 4 taxonomic families were shared between the survey method categorization and eDNA detection. However, eDNA was successful when applied to a broader range of taxa for presence-absence detection and community composition detection, and found that stream communities did change significantly based on installment of large wood addition projects.
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Assessing stream channel restoration: the phased recovery framework
Channel reconfiguration is one of the most common and costly stream restoration techniques, though its effectiveness is frequently questioned. Project monitoring often tracks changes in macroinvertebrate communities and other responses for a 5‐year period. However, channel reconfiguration is a documented disturbance to stream ecosystems, suggesting that this form of restoration initiates succession over longer time frames than monitoring typically captures. To address the role of succession in stream ecosystem recovery, we developed the Phased Recovery Framework (PRF) which proposes benchmarks represented by predictable habitat structure and community composition based on project age. The PRF was tested across nine stream restoration projects in western Montana, ranging in age from 1 to 18 years, each paired with an established reference system. We tested for differences in channel form, habitat character, and macroinvertebrate community composition. While restoration established desired channel form, most biotic variables had not recovered to reference condition even for the oldest projects. Across all sites, phases of the PRF were poor predictors of response. However, analyzing responses to reconfiguration independently for sites in watersheds with unimpaired water quality versus those experiencing excessive nutrient enrichment (i.e. impaired sites) indicated that biological variables converged on reference conditions at unimpaired sites, but diverged across impaired reaches. These large‐scale anthropogenic influences may play a stronger role in recovery than do changes to channel form and need to be incorporated into project design and success criteria. Assessment of the PRF suggests that short‐term monitoring is not likely to produce reliable indicators of effectiveness without incorporating locally appropriate change associated with watershed impairment and successional progression.
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- Award ID(s):
- 1757351
- PAR ID:
- 10460835
- Publisher / Repository:
- Wiley-Blackwell
- Date Published:
- Journal Name:
- Restoration Ecology
- Volume:
- 27
- Issue:
- 4
- ISSN:
- 1061-2971
- Page Range / eLocation ID:
- p. 850-861
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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