Literature DB >> 33249694

Climate, urbanization, and species traits interactively drive flowering duration.

Daijiang Li1,2,3, Narayani Barve1, Laura Brenskelle1, Kamala Earl1, Vijay Barve1, Michael W Belitz1, Joshua Doby1, Maggie M Hantak1, Jessica A Oswald1,4, Brian J Stucky1, Mitch Walters1, Robert P Guralnick1.   

Abstract

A wave of green leaves and multi-colored flowers advances from low to high latitudes each spring. However, little is known about how flowering offset (i.e., ending of flowering) and duration of populations of the same species vary along environmental gradients. Understanding these patterns is critical for predicting the effects of future climate and land-use change on plants, pollinators, and herbivores. Here, we investigated potential climatic and landscape drivers of flowering onset, offset, and duration of 52 plant species with varying key traits. We generated phenology estimates using >270,000 community-science photographs and a novel presence-only phenometric estimation method. We found longer flowering durations in warmer areas, which is more obvious for summer-blooming species compared to spring-bloomers driven by their strongly differing offset dynamics. We also found that higher human population density and higher annual precipitation are associated with delayed flowering offset and extended flowering duration. Finally, offset of woody perennials was more sensitive than herbaceous species to both climate and urbanization drivers. Empirical forecast models suggested that flowering durations will be longer in 2030 and 2050 under representative concentration pathway (RCP) 8.5, especially for summer-blooming species. Our study provides critical insight into drivers of key flowering phenophases and confirms that Hopkins' Bioclimatic Law also applies to flowering durations for summer-blooming species and herbaceous spring-blooming species.
© 2020 John Wiley & Sons Ltd.

Entities:  

Keywords:  Hopkins’ Bioclimatic Law; climate change; flower duration; plant phenology; urbanization

Year:  2020        PMID: 33249694     DOI: 10.1111/gcb.15461

Source DB:  PubMed          Journal:  Glob Chang Biol        ISSN: 1354-1013            Impact factor:   10.863


  4 in total

1.  Mammalian body size is determined by interactions between climate, urbanization, and ecological traits.

Authors:  Maggie M Hantak; Bryan S McLean; Daijiang Li; Robert P Guralnick
Journal:  Commun Biol       Date:  2021-08-16

2.  Computer vision for assessing species color pattern variation from web-based community science images.

Authors:  Maggie M Hantak; Robert P Guralnick; Alina Zare; Brian J Stucky
Journal:  iScience       Date:  2022-07-19

3.  Grassland allergenicity increases with urbanisation and plant invasions.

Authors:  Maud Bernard-Verdier; Birgit Seitz; Sascha Buchholz; Ingo Kowarik; Sara Lasunción Mejía; Jonathan M Jeschke
Journal:  Ambio       Date:  2022-05-20       Impact factor: 6.943

4.  Using Convolutional Neural Networks to Efficiently Extract Immense Phenological Data From Community Science Images.

Authors:  Rachel A Reeb; Naeem Aziz; Samuel M Lapp; Justin Kitzes; J Mason Heberling; Sara E Kuebbing
Journal:  Front Plant Sci       Date:  2022-01-17       Impact factor: 5.753

  4 in total

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