Evaluating otter reintroduction outcomes using genetic spatial capture–recapture modified for dendritic networks

Murphy, Sean M.; Adams, Jennifer R.; Waits, Lisette P.; Cox, John J.

doi:10.1002/ece3.8187

Cited by 9 publications

(10 citation statements)

References 102 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…2014; Murphy et al. 2021). Assigning detections to “trap areas” in SCR models has been conducted by other researchers recently with camera trap data (Warbington and Boyce 2020), fecal samples at latrines (Murphy et al.…”

Section: Methodsmentioning

confidence: 99%

“…Assigning detections to “trap areas” in SCR models has been conducted by other researchers recently with camera trap data (Warbington and Boyce 2020), fecal samples at latrines (Murphy et al. 2021), hair traps (Balmori‐de la Puente et al. 2023), and water snakes in stream reaches (Leuenberger et al.…”

Section: Methodsmentioning

confidence: 99%

“…Live fish were constrained to remain within the boundaries of the river and therefore had to pass through the river on their migration; hence, we were able to assign passive telemetry detections to a reach or "trap" by dividing the river into reaches as in Leuenberger et al (2019). Thus, we could model reaches as "count" detectors for which the detection process followed a Poisson distribution, as reaches were spatially fixed and multiple fish could have visited the same reach or multiple reaches multiple times during an occasion (Royle et al 2014;Murphy et al 2021). Assigning detections to "trap areas" in SCR models has been conducted by other researchers recently with camera trap data (Warbington and Boyce 2020), fecal samples at latrines (Murphy et al 2021), hair traps (Balmori-de la Puente et al 2023), and water snakes in stream reaches (Leuenberger et al 2019).…”

Section: Spatial Capture-recapture Modelingmentioning

confidence: 99%

“…We used log-linear models to model the environmental effects on weekly or biweekly detection rates and habitat effects on the detection rates of prespawn fish by reach (Equation 1). We also evaluated whether aerial or ground detections affected detection rates by including an individual detection covariate similar to other CJS formulations (e.g., sex; Leuenberger et al 2019;Murphy et al 2021) and as suggested by Raabe et al (2014):…”

Section: Detection Submodelmentioning

confidence: 99%

See 3 more Smart Citations

Evaluating streamflow and temperature effects on Bull Trout migration and survival with linear spatial capture–recapture models

Wohner,

Thurow,

Peterson

2024

Trans Am Fish Soc

View full text Add to dashboard Cite

ObjectiveIn the U.S. Pacific Northwest, climate change is increasing air temperatures, decreasing warm season (April–September) streamflow, and increasing cool season (October–March) streamflow. Warmer water temperatures may alter conditions for migratory coldwater fishes like the Bull Trout Salvelinus confluentus. Consequently, an understanding of Bull Trout migration and survival is critical for species conservation and restoration. In the Salmon River basin, Idaho, 1992 and 1993 transpired to be two of the most opposing extreme years among the past three decades for warm season water temperature and streamflow. These extremes provided a unique opportunity to retrospectively compare Bull Trout survival and migration under potential climate change scenarios.MethodsWe evaluated prespawning and postspawning migrations and survival of fluvial Bull Trout that were radio‐tagged and tracked from 1992 to 1994. We used a Cormack–Jolly–Seber linear spatial capture–recapture model to simultaneously model the migration and survival of radio‐tagged prespawn (n = 58) and postspawn (n = 23) Bull Trout among weeks and river reaches with streamflow, water temperature, and habitat covariates.ResultMost individual prespawning migrations were similar among tagged fish, whereas postspawn fish adopted multiple migration and overwintering strategies. Movements of prespawn Bull Trout were larger when (1) weekly average daily maximum streamflow increased and (2) weekly average daily maximum water temperature increased. The model estimated that at least 52% of spawners survived to spawning, and mean weekly prespawning apparent survival was higher in the low‐streamflow year (1992) than in the year with higher and more variable streamflow (1993). Survival of 1992–1994 fish during the 38‐week postspawning period was intermediate to that in the prespawning period. Detections of prespawn Bull Trout were generally higher at sites with more complex habitats, less large woody debris, and fewer undercut banks.ConclusionWe found that the prespawn life stage can represent a shorter time frame (14–18 weeks) with increased mortality compared to the longer postspawning period (38 weeks). Bull Trout apparent survival increased with lower streamflow variability, indicating that expected future changes in climate may adversely affect Bull Trout.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Spatial Capture-recapture Modelingmentioning

confidence: 99%

Section: Detection Submodelmentioning

confidence: 99%

See 2 more Smart Citations

Evaluating streamflow and temperature effects on Bull Trout migration and survival with linear spatial capture–recapture models

Wohner,

Thurow,

Peterson

2024

Trans Am Fish Soc

View full text Add to dashboard Cite

show abstract

“…One critical aspect of this work, however, has been the size or length of river habitat surveyed, considering the territorial behavior of the fish otter and the universal problem of edge effects when estimating animal population abundance and resource availability (Manly et al, 2002; Potts et al, 2016). While the modeling of home ranges can be helpful, the dendritic nature of river otter habitat adds a complicating factor that most home‐range calculations have not considered (Murphy et al, 2021). Studies in Austria have varied from using river stretches of as little as 10 to up to 90 km in length (Holzinger et al, 2018; Kofler et al, 2018; Schenekar & Weiss, 2021).…”

Section: Introductionmentioning

confidence: 99%

Applying molecular genetic data at different scales to support conservation assessment of European Habitats Directive listed species: A case study of Eurasian otter in Austria

Schenekar,

Weiss,

Weiss

2023

Evolutionary Applications

View full text Add to dashboard Cite

Evaluating intraspecific genetic structure and diversity is fundamental to assessing a species’ conservation status, but direct incorporation of such information into legal frameworks such as the EU's Habitats Directive is surprisingly rare. How genetic structure aligns with EU member state boundaries or biogeographic regions may be very important in designing management plans or achieving legislative goals. The Eurasian fish otter experienced a sharp population decline during the 20th century but is currently re‐expanding in several countries. The species is listed under Annex II and IV of the European Habitats Directive, and member states are obliged to assess the species separately across different biogeographic regions. We genotyped 2492 otter spraints across four provinces in Austria, collected between 2017 and 2021. A total of 384 different genotypes were identified, supporting densities along river habitats from 0.1 to 0.47 otters per river km (mean: 0.306), with a resampling‐based simulation supporting limited density overestimation at survey lengths of 20 km or more. Three distinct genetic clusters were revealed, two of them presumably reflecting two relict populations whereas the source of the third cluster is unknown. The geographic extent of the three clusters does not coincide with provincial or biogeographic boundaries, both relevant for assessment and management within existing national or European legislative frameworks. We advocate more consideration of genetic structure in the assessment and conservation management planning of species listed in the European Habitats Directive.

show abstract

Evaluating the use of non‐invasive hair sampling and ddRAD to characterize populations of endangered species: Application to a peripheral population of the European mink

Balmori‐de la Puente,

Escoda,

Fernández‐González

et al. 2023

Ecology and Evolution

View full text Add to dashboard Cite

The application of next‐generation sequencing (NGS) to non‐invasive samples is one of the most promising methods in conservation genomics, but these types of samples present significant challenges for NGS. The European mink (Mustela lutreola) is critically endangered throughout its range. However, important aspects such as census size and inbreeding remain still unknown in many populations, so it is crucial to develop new methods to monitor this species. In this work, we placed hair tubes along riverbanks in a border area of the Iberian population, which allowed the genetic identification of 76 European mink hair samples. We then applied a reduced representation genomic sequencing (ddRAD) technique to a subset of these samples to test whether we could extract sufficient genomic information from them. We show that several problems with the DNA, including contamination, fragmentation, oxidation, and possibly sample mixing, affected the samples. Using various bioinformatic techniques to reduce these problems, we were able to unambiguously genotype 19 hair samples belonging to six individuals. This small number of individuals showed that the demographic status of the species in this peripheral population is worse than expected. The data obtained also allowed us to perform preliminary analyses of relatedness and inbreeding. Although further improvements in sampling and analysis are needed, the application of the ddRAD technique to non‐invasively obtained hairs represents a significant advance in the genomic study of endangered species.

show abstract

Evaluating otter reintroduction outcomes using genetic spatial capture–recapture modified for dendritic networks

Cited by 9 publications

References 102 publications

Evaluating streamflow and temperature effects on Bull Trout migration and survival with linear spatial capture–recapture models

Evaluating streamflow and temperature effects on Bull Trout migration and survival with linear spatial capture–recapture models

Applying molecular genetic data at different scales to support conservation assessment of European Habitats Directive listed species: A case study of Eurasian otter in Austria

Evaluating the use of non‐invasive hair sampling and ddRAD to characterize populations of endangered species: Application to a peripheral population of the European mink

Contact Info

Product

Resources

About