2010 - 2013 progress report: Using a Network of Sites to Evaluate How Climate-mediated Changes in the Arctic Ecosystem are Affecting Shorebird Distribution, Ecology and Demography
Bibliographic record
Abstract
To obtain a better understanding of how shorebirds will respond to climate-mediated changes in the Arctic’s morphology and ecology, we have established a network of sites, known as the Arctic Shorebird Demographics Network (ASDN), wherein we collected information on a suite of predictor variables thought to be responsive to climate change, with a future goal of correlating these variables with measures of shorebird distribution, ecology, and demography. Starting in 2010, we established nine field sites across the Arctic, from Nome, Alaska to Hudson Bay, Nunavut. The number of sites was expanded from 9 to 11 sites in 2011, 11 to 14 in 2012, and 14 to 16 in 2013. Protocols were adopted/modified from prior studies in the Arctic to create a standardized protocol that has been updated prior to each field season. We have compiled all of the data from the various sites during the first four years of the ASDN operation, and results from all four field seasons are presented here. A total of 6,691 nests belonging to 38 species were located in the first four years of the study. The largest number of nests belonged to the five ASDN focal species: Dunlin, Semipalmated Sandpipers, Red and Red-necked Phalaropes, and Pectoral Sandpipers. Unexpectedly high number of Western Sandpiper and American Golden-Plovers were also discovered. Nest initiation dates varied tremendously across sites for the focal shorebird species investigated during this study. Apparent nest success was 48% across all sites and species; rates varied between years within sites, and also between sites within years. An investigation into what environmental variables best explain the variation in nest success is underway. A total of 5,237 adults belonging to 29 species were banded in the first four years of the study. The number of adults banded per species ranged from 1 to 1,422 during the study (mean ± SD = 180.6 ± 329.0). ASDN focal species were again captured the most frequently, but like nests, high numbers of Western Sandpipers and American Golden-Plovers were also captured. The highest returns of color-marked adults were observed in Dunlin, Red-necked Phalarope, Semipalmated Sandpiper, Western Sandpiper, and Whimbrel, which should allow adult survival estimates to be made (detailed analysis beginning now). Besides the shorebird data, field personnel kept daily species lists, and established sampling stations to document aquatic and terrestrial invertebrate diversity, phenology, and abundance. In addition, data were collected on predators, small mammals and other alternative prey for predators of shorebirds, snow and surface water, and general climatic variables. ASDN principal investigators and other partners are collaborating on 18 projects that use the geographically vast and taxonomically rich ASDN data. ASDN studies include investigations of the potential for an ecological mismatch between invertebrate emergence and shorebird hatching, variation in shorebird nest predation across the Arctic, assessment of predator diversity and abundance in relation to human development, and factors affecting shorebird settlement patterns. Avian health issues being investigated include avian influenza, avian malaria, gut microbiota, and mercury exposure. Migratory connectivity studies include projects using light-level geolocators to document migratory pathways and wintering areas of American Golden-Plover, Dunlin, and Semipalmated Sandpipers. An additional study is using stable isotope signatures to document connections between breeding, migration and wintering areas of Semipalmated Sandpipers. Other studies are focusing on the effects of spring phenology on timing of breeding in shorebirds, invertebrate phenology in relation to habitat and weather, long-distance dispersion of moss by shorebirds, and the distribution of Arctic invertebrates. The ASDN principal investigators have been highly successful at producing products from the data collected at their field sites. Although the major analyses and publications that will Arctic Shorebird Demographics Network LCC Report Page 2 address core objectives of the ASDN have not been completed, investigators have collectively produced 24 peer-reviewed publications, 25 reports, and 57 presentations. We anticipate that many more publications will be produced in the coming years. Although this report summarizes information collected between 2010 and 2013, we are preparing for the fifth of five originally proposed field seasons. A report summarizing the fifth field season will be available in March 2015. Citation: Lanctot, R. B., S. Brown, and B.K. Sandercock. 2014. 2010 – 2013 Progress Report: Using a Network of Sites to Evaluate How Climate-mediated Changes in the Arctic Ecosystem are Affecting Shorebird Distribution, Ecology and Demography. Unpublished report by the U.S. Fish and Wildlife Service, Manomet Center for Conservation Sciences and Kansas State University to the Arctic Landscape Conservation Cooperative. U.S. Fish and Wildlife Service, Anchorage, AK. 52 p. Other principal investigators and graduate students running field camps within the Arctic Shorebird Demographic Network are listed in Appendix 1. The data and accomplishments for this report are a product of all of these people. No information contained within this report should be used without written consent by the report’s authors and the principal investigators responsible for the data. Arctic Shorebird Demographics Network LCC Report Page 3
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".