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Record W2275078469

Restoring a wetland complex for amphibian populations, south Okanagan Valley, British Columbia, Canada (2003 to 2014)

2015· dissertation· en· W2275078469 on OpenAlexaboutno aff
Sara L. Ashpole

Bibliographic record

VenueUWSpace (University of Waterloo) · 2015
Typedissertation
Languageen
FieldEnvironmental Science
TopicCoastal wetland ecosystem dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsWetlandGeographyAmphibianEcologyForestryEnvironmental protectionArchaeologyBiology
DOInot available

Abstract

fetched live from OpenAlex

The arid south Okanagan Valley is a highly anthropogenic landscape experiencing intense development pressure from agriculture and urban expansion. Ecologically, wetland and riparian habitat loss now exceeds 84% of what existed since the 1800s. Based on these conditions, I tested whether species richness, distribution, and relative density of native herpetofauna among 108 wetlands surveyed during 2003 to 2006 would show significant differences among sites as defined by their land-use characteristics. I identified seven land-use stressors: water withdrawal or discharge; infilling or shoreline modification; burn pile / garbage dumping; non-native invasive species; agricultural input (e.g. pesticides, herbicides); nutrient input (unrestricted livestock, turf fertilization); and artificially constructed sites. At least one of the seven identified land-use stressors was present at 88% of sites and 74% of sites experienced nutrient inputs. The highest overall frequency of stressors occurred at agricultural sites. And yet, these agricultural sites breeding habitat value with the highest species richness of native herpetofauna and some of the highest observed densities of species early life stages. Despite repeat surveying, more than two-thirds of sites had less than two herpetofaunal species detected annually. In response to the apparent ecological degradation based on field observations, a collaborative stakeholder approach was initiated to increase the quantity and quality of lowland wetland habitat. The approach used was landscape ecological restoration, i.e. reconnecting known amphibian-breeding sites with constructed and/or enhanced small ponds. The prior herpetofauna monitoring data (2003 to 2006) determined both ecological and management based strategic locations: 1) proximity to known herpetofaunal breeding locations, 2) distance to adjacent water bodies, 3) distance to roadways, 4) historic wetland infilling, or 5) partnership with local conservation authorities. Habitat enhancement outcomes initiated as part of my research (Ntotal = 21 sites) included 10 newly constructed ponds, enhancement of 8 re-contoured ponds after historic infilling, and invasive non-native predatory species removal at 3 sites (2006 to 2011). Project ponds were monitored annually (2007 to 2014) for all life stages of herpetofauna. Over this eight year period, metamorphic success for the Great Basin spadefoot (Spea intermontana) (13 sites) and the pacific chorus frog (Pseudacris regilla) (N = 7 sites) populations has been observed. Enhancement and construction of ponds in the lower valley roughly doubled the number of available discrete breeding ponds within the study area from 13 to 31 ponds and through voluntary stewardship engaged landowners. Whether enhancement and construction of ponds have aided species recovery is unclear, because it can take multiple species generations and habitat protection to establish whether there has been a permanent ecological restoration; however the data on colonization provides early supporting evidence that some species are recovering. The project results support a “build it and they will come” action; this approach likely works because there was severe decline in available breeding habitat, hence any improvement tends to provide an initial increase in some widely distributed populations of herpetofauna. Nonetheless, the ongoing lack of critical upland habitat needed by amphibian species poses a significant threat to species movement and long-term population success. Planning and management challenges remain, namely enforcement of wetland protection measures and moving beyond like-minded collaborations and towards targeted stewardship of less motivated persons.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.682
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.198
Teacher spread0.183 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2015
Admission routes1
Has abstractyes

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