Combined influences of model choice, data quality, and data quantity when estimating population trends

Agriculture & Biology

• data quality 100%
• time series analysis 66%
• population viability analysis 63%
• prediction 20%
• life history 15%
• risk assessment 10%
• decision making 9%
• snails 9%
• population growth 9%
• extinction 9%
• demographic statistics 8%
• organisms 5%

Medicine & Life Sciences

• Data Accuracy 82%
• Population 30%
• Population Forecast 17%
• Population Growth 14%
• Snails 13%
• Risk Assessment 9%
• Decision Making 9%
• Research Design 8%
• Demography 7%

Chemical Compounds

• Error 58%
• Length 23%
• Time 16%
• Risk Assessment 9%
• Red 5%