Comparison of large-scale citizen science data and long-term study data for phenology modeling.

ABSTRACT: Large-scale observational data from citizen science efforts are becoming increasingly common in ecology, and researchers often choose between these and data from intensive local-scale studies for their analyses. This choice has potential trade-offs related to spatial scale, observer variance, and interannual variability. Here we explored this issue with phenology by comparing models built using data from the large-scale, citizen science USA National Phenology Network (USA-NPN) effort with models built using data from more intensive studies at Long Term Ecological Research (LTER) sites. We built statistical and process based phenology models for species common to each data set. From these models, we compared parameter estimates, estimates of phenological events, and out-of-sample errors bet

SUBMITTER: Taylor SD 

PROVIDER: S-EPMC7378950 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature