Unknown

Dataset Information

0

A new method and insights for estimating phenological events from herbarium specimens.


ABSTRACT: Premise of the Study:A novel method of estimating phenology of herbarium specimens was developed to facilitate more precise determination of plant phenological responses to explanatory variables (e.g., climate). Methods and Results:Simulated specimen data sets were used to compare the precision of phenological models using the new method and two common, alternative methods (flower presence/absence and ?50% flowers present). The new "estimated phenophase" method was more precise and extracted a greater number of significant species-level relationships; however, this method only slightly outperformed the simple "binary" (e.g., flowers present/absent) method. Conclusions:The new method enables estimation of phenological trends with greater precision. However, when time and resources are limited, a presence/absence method may offer comparable results at lower cost. Using a more restrictive approach, such as only including specimens in a certain phenophase, is not advised given the detrimental effect of decreased sample size on resulting models.

SUBMITTER: Pearson KD 

PROVIDER: S-EPMC6426155 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature

altmetric image

Publications

A new method and insights for estimating phenological events from herbarium specimens.

Pearson Katelin D KD  

Applications in plant sciences 20190307 3


<h4>Premise of the study</h4>A novel method of estimating phenology of herbarium specimens was developed to facilitate more precise determination of plant phenological responses to explanatory variables (e.g., climate).<h4>Methods and results</h4>Simulated specimen data sets were used to compare the precision of phenological models using the new method and two common, alternative methods (flower presence/absence and ≥50% flowers present). The new "estimated phenophase" method was more precise an  ...[more]

Similar Datasets

| S-EPMC4115536 | biostudies-literature
| S-EPMC7411132 | biostudies-literature
| S-EPMC6667659 | biostudies-literature
| S-EPMC6476165 | biostudies-literature
| S-EPMC6426279 | biostudies-literature