دورية أكاديمية
How well do the spring indices predict phenological activity across plant species?
| العنوان: | How well do the spring indices predict phenological activity across plant species? |
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| المؤلفون: | Gerst KL; USA National Phenology Network, National Coordinating Office, Tucson, AZ, USA. kathy@usanpn.org.; School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, USA. kathy@usanpn.org., Crimmins TM; USA National Phenology Network, National Coordinating Office, Tucson, AZ, USA.; School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, USA., Posthumus EE; USA National Phenology Network, National Coordinating Office, Tucson, AZ, USA.; School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, USA., Rosemartin AH; USA National Phenology Network, National Coordinating Office, Tucson, AZ, USA.; School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, USA., Schwartz MD; Department of Geography, University of Wisconsin-Milwaukee, Milwaukee, WI, USA. |
| المصدر: | International journal of biometeorology [Int J Biometeorol] 2020 May; Vol. 64 (5), pp. 889-901. Date of Electronic Publication: 2020 Feb 27. |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Springer Verlag Country of Publication: United States NLM ID: 0374716 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1254 (Electronic) Linking ISSN: 00207128 NLM ISO Abbreviation: Int J Biometeorol Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: New York, NY : Springer Verlag Original Publication: Leiden. |
| مواضيع طبية MeSH: | Syringa* , Trees*, Plant Leaves ; Reproduction ; Seasons ; Temperature |
| مستخلص: | The spring indices, models that represent the onset of spring season biological activity, were developed using a long-term observational record from the mid-to-late twentieth century of three species of lilacs and honeysuckles contributed by volunteer observers across the nation. The USA National Phenology Network (USA-NPN) produces and freely delivers maps of spring index onset dates at fine spatial scale for the USA. These maps are used widely in natural resource planning and management applications. The extent to which the models represent activity in a broad suite of plant species is not well documented. In this study, we used a rich record of observational plant phenology data (37,819 onset records) collected in recent years (1981-2017) to evaluate how well gridded maps of the spring index models predict leaf and flowering onset dates in (a) 19 species of ecologically important, broadly distributed deciduous trees and shrubs, and (b) the lilac and honeysuckle species used to construct the models. The extent to which the spring indices predicted vegetative and reproductive phenology varied by species and with latitude, with stronger relationships revealed for shrubs than trees and with the Bloom Index compared to the Leaf Index, and reduced concordance between the indices at higher latitudes. These results allow us to use the indices as indicators of when to expect activity across widely distributed species and can serve as a yardstick to assess how future changes in the timing of spring will impact a broad array of trees and shrubs across the USA. |
| معلومات مُعتمدة: | G14AC00405 U.S. Geological Survey; G18AC00135 U.S. Geological Survey; NAA112AC79B United States NASA NASA; NAA112AC79B United States NASA NASA |
| فهرسة مساهمة: | Keywords: Citizen science; Deciduous trees; Phenological model; Plant phenology; Spring indices |
| تواريخ الأحداث: | Date Created: 20200229 Date Completed: 20200515 Latest Revision: 20200515 |
| رمز التحديث: | 20231215 |
| DOI: | 10.1007/s00484-020-01879-z |
| PMID: | 32107635 |
| قاعدة البيانات: | MEDLINE |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 1432-1254 |
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| DOI: | 10.1007/s00484-020-01879-z |