A new phenological metric for use in pheno‐climatic models: A case study using herbarium specimens of Streptanthus tortuosus
Premise Herbarium specimens have been used to detect climate‐induced shifts in flowering time by using the day of year of collection (DOY) as a proxy for first or peak flowering date. Variation among herbarium sheets in their phenological status, however, undermines the assumption that DOY accuratel...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-07-01
|
| Series: | Applications in Plant Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/aps3.11276 |
| _version_ | 1818481170706333696 |
|---|---|
| author | Natalie L. Rossington Love Isaac W. Park Susan J. Mazer |
| author_facet | Natalie L. Rossington Love Isaac W. Park Susan J. Mazer |
| author_sort | Natalie L. Rossington Love |
| collection | DOAJ |
| description | Premise Herbarium specimens have been used to detect climate‐induced shifts in flowering time by using the day of year of collection (DOY) as a proxy for first or peak flowering date. Variation among herbarium sheets in their phenological status, however, undermines the assumption that DOY accurately represents any particular phenophase. Ignoring this variation can reduce the explanatory power of pheno‐climatic models (PCMs) designed to predict the effects of climate on flowering date. Methods Here we present a protocol for the phenological scoring of imaged herbarium specimens using an ImageJ plugin, and we introduce a quantitative metric of a specimen's phenological status, the phenological index (PI), which we use in PCMs to control for phenological variation among specimens of Streptanthus tortuosus (Brassicaceeae) when testing for the effects of climate on DOY. We demonstrate that including PI as an independent variable improves model fit. Results Including PI in PCMs increased the model R2 relative to PCMs that excluded PI; regression coefficients for climatic parameters, however, remained constant. Discussion Our protocol provides a simple, quantitative phenological metric for any observed plant. Including PI in PCMs increases R2 and enables predictions of the DOY of any phenophase under any specified climatic conditions. |
| first_indexed | 2024-12-10T11:31:25Z |
| format | Article |
| id | doaj.art-17615892a4044e319d24c8b17aa0c879 |
| institution | Directory Open Access Journal |
| issn | 2168-0450 |
| language | English |
| last_indexed | 2024-12-10T11:31:25Z |
| publishDate | 2019-07-01 |
| publisher | Wiley |
| record_format | Article |
| series | Applications in Plant Sciences |
| spelling | doaj.art-17615892a4044e319d24c8b17aa0c8792022-12-22T01:50:34ZengWileyApplications in Plant Sciences2168-04502019-07-0177n/an/a10.1002/aps3.11276A new phenological metric for use in pheno‐climatic models: A case study using herbarium specimens of Streptanthus tortuosusNatalie L. Rossington Love0Isaac W. Park1Susan J. Mazer2Department of Ecology, Evolution, and Marine Biology University of California, Santa Barbara Santa Barbara California93106USADepartment of Ecology, Evolution, and Marine Biology University of California, Santa Barbara Santa Barbara California93106USADepartment of Ecology, Evolution, and Marine Biology University of California, Santa Barbara Santa Barbara California93106USAPremise Herbarium specimens have been used to detect climate‐induced shifts in flowering time by using the day of year of collection (DOY) as a proxy for first or peak flowering date. Variation among herbarium sheets in their phenological status, however, undermines the assumption that DOY accurately represents any particular phenophase. Ignoring this variation can reduce the explanatory power of pheno‐climatic models (PCMs) designed to predict the effects of climate on flowering date. Methods Here we present a protocol for the phenological scoring of imaged herbarium specimens using an ImageJ plugin, and we introduce a quantitative metric of a specimen's phenological status, the phenological index (PI), which we use in PCMs to control for phenological variation among specimens of Streptanthus tortuosus (Brassicaceeae) when testing for the effects of climate on DOY. We demonstrate that including PI as an independent variable improves model fit. Results Including PI in PCMs increased the model R2 relative to PCMs that excluded PI; regression coefficients for climatic parameters, however, remained constant. Discussion Our protocol provides a simple, quantitative phenological metric for any observed plant. Including PI in PCMs increases R2 and enables predictions of the DOY of any phenophase under any specified climatic conditions.https://doi.org/10.1002/aps3.11276climate changeherbariumherbarium specimenspheno‐climatic modelsphenological indexphenology |
| spellingShingle | Natalie L. Rossington Love Isaac W. Park Susan J. Mazer A new phenological metric for use in pheno‐climatic models: A case study using herbarium specimens of Streptanthus tortuosus Applications in Plant Sciences climate change herbarium herbarium specimens pheno‐climatic models phenological index phenology |
| title | A new phenological metric for use in pheno‐climatic models: A case study using herbarium specimens of Streptanthus tortuosus |
| title_full | A new phenological metric for use in pheno‐climatic models: A case study using herbarium specimens of Streptanthus tortuosus |
| title_fullStr | A new phenological metric for use in pheno‐climatic models: A case study using herbarium specimens of Streptanthus tortuosus |
| title_full_unstemmed | A new phenological metric for use in pheno‐climatic models: A case study using herbarium specimens of Streptanthus tortuosus |
| title_short | A new phenological metric for use in pheno‐climatic models: A case study using herbarium specimens of Streptanthus tortuosus |
| title_sort | new phenological metric for use in pheno climatic models a case study using herbarium specimens of streptanthus tortuosus |
| topic | climate change herbarium herbarium specimens pheno‐climatic models phenological index phenology |
| url | https://doi.org/10.1002/aps3.11276 |
| work_keys_str_mv | AT natalielrossingtonlove anewphenologicalmetricforuseinphenoclimaticmodelsacasestudyusingherbariumspecimensofstreptanthustortuosus AT isaacwpark anewphenologicalmetricforuseinphenoclimaticmodelsacasestudyusingherbariumspecimensofstreptanthustortuosus AT susanjmazer anewphenologicalmetricforuseinphenoclimaticmodelsacasestudyusingherbariumspecimensofstreptanthustortuosus AT natalielrossingtonlove newphenologicalmetricforuseinphenoclimaticmodelsacasestudyusingherbariumspecimensofstreptanthustortuosus AT isaacwpark newphenologicalmetricforuseinphenoclimaticmodelsacasestudyusingherbariumspecimensofstreptanthustortuosus AT susanjmazer newphenologicalmetricforuseinphenoclimaticmodelsacasestudyusingherbariumspecimensofstreptanthustortuosus |