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Using incidental mark-encounter data to improve survival estimation.

Seth M Harju1, Scott M Cambrin2, Roy C Averill-Murray3

  • 1Heron Ecological LLC Kingston ID USA.

Ecology and Evolution
|January 29, 2020
PubMed
Summary
This summary is machine-generated.

Supplementing traditional survival data with incidental mark-encounter data improves survival estimate precision and allows for subgroup analysis in species like the Mojave desert tortoise. This method enhances population monitoring for imperiled species.

Keywords:
Mojave desert tortoisecombined datasetsincidental datamark‐encounterradiotelemetrysurvivaltranslocation

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Area of Science:

  • Ecology
  • Conservation Biology
  • Wildlife Management

Background:

  • Robust survival estimates are crucial for wildlife management but are often limited by small sample sizes.
  • Incidental mark-encounter data, collected ad hoc, are frequently underutilized in survival analyses.
  • Mojave desert tortoises (Gopherus agassizii) face conservation challenges, necessitating precise survival data.

Purpose of the Study:

  • To evaluate the effectiveness of incorporating incidental mark-encounter data into traditional survival datasets.
  • To assess survival differences between adult/juvenile and resident/translocated Mojave desert tortoises.
  • To improve the precision and estimability of survival rates for population subgroups.

Main Methods:

  • Utilized a continuous time-to-event exponential survival model.
  • Combined traditional survival data (e.g., radiotelemetry) with incidental mark-encounter data.
  • Analyzed survival rates for distinct demographic groups of Mojave desert tortoises.

Main Results:

  • Incorporating incidental data reduced the spread of 95% Bayesian credible intervals by 3.4%-37.5%.
  • Annual survival estimates became possible for three previously inestimable subgroup combinations.
  • Survival estimates from combined datasets showed minimal bias compared to radiotelemetry-only data (|0.029| difference).
  • Translocated tortoises, particularly juveniles, exhibited significantly lower survival rates than resident tortoises.

Conclusions:

  • Exponential survival models effectively leverage incidental data to enhance survival estimate precision and estimability.
  • This integrated approach improves the efficacy of population ecology studies and monitoring for imperiled species.
  • Findings highlight lower survival in translocated Mojave desert tortoises, informing conservation and management strategies.