An expert‐based system to predict population survival rate from health data

Timely detection and understanding of causes for population decline are essential for effective wildlife management and conservation. Assessing trends in population size has been the standard approach, but we propose that monitoring population health could prove more effective. We collated data from...

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Veröffentlicht in:	Conservation biology Jg. 38; H. 1; S. e14073 - n/a
Hauptverfasser:	Schwacke, Lori H., Thomas, Len, Wells, Randall S., Rowles, Teresa K., Bossart, Gregory D., Townsend, Forrest, Mazzoil, Marilyn, Allen, Jason B., Balmer, Brian C., Barleycorn, Aaron A., Barratclough, Ashley, Burt, Louise, De Guise, Sylvain, Fauquier, Deborah, Gomez, Forrest M., Kellar, Nicholas M., Schwacke, John H., Speakman, Todd R., Stolen, Eric D., Quigley, Brian M., Zolman, Eric S., Smith, Cynthia R.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Blackwell Publishing Ltd 01.02.2024
Schlagworte:	Algae Algal blooms Alkaline phosphatase Animal health Artificial intelligence Bayesian analysis Bayesian theory biomarcadores biomarker Chronic illnesses delfín dolphin Estimates Eutrophication Expert systems Fauna Globulins health assessment health effects assessments Health risks Inflammation Marine mammals mark-recapture studies monitoreo de fauna Mortality Mortality risk Neuroendocrine system odds ratio Phosphatase poisonous algae Population decline population dynamics Population number population size Population statistics prediction Probability theory Random sampling regression analysis risk Sampling methods Statistical analysis Statistical sampling Stranding supervivencia Survival survival rate tasa de vitalidad Tursiops truncatus valoración sanitaria vital rate wildlife Wildlife conservation Wildlife management wildlife monitoring health assessment valoración sanitaria vital rate dolphin monitoreo de fauna survival tasa de vitalidad wildlife monitoring delfín biomarker biomarcadores supervivencia
ISSN:	0888-8892, 1523-1739, 1523-1739
Online-Zugang:	Volltext
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