An examination of climate‐driven flowering‐time shifts at large spatial scales over 153 years in a common weedy annual

• Published in: American journal of botany Vol. 106; no. 11; pp. 1435 - 1443
• Main Authors: Berg, Colette S., Brown, Jason L., Weber, Jennifer J.
• Format: Journal Article
• Language: English
• Published: United States Botanical Society of America, Inc 01.11.2019
• Subjects: Campanulaceae; Climate Change; Climatic data; Digitization; Evapotranspiration; Flowering; flowering time; Flowers; niche; phenology; Reproduction; Seasons; spatial analyses; Species; Temperature; Vapor pressure; vapor pressure deficit; Water stress; flowering time; Campanulaceae; phenology; spatial analyses; vapor pressure deficit; niche; climate change
• ISSN: 0002-9122; 1537-2197
• DOI: 10.1002/ajb2.1381

Premise Understanding species’ responses to climate change is a critical challenge facing biologists today. Though many species are widespread, few studies of climate‐driven shifts in flowering time have examined large continuous spatial scales for individual species. And even fewer studies have examined these shifts at time scales greater than a few decades. Methods We used digitized herbarium specimens and PRISM climate data to produce the spatially and temporally broadest‐scale study of flowering time in a single species to date, spanning the contiguous United States and 153 years (1863–2016) for a widespread weedy annual, Triodanis perfoliata (Campanulaceae). We examined factors driving phenological shifts as well as the roles of geographic and temporal scale in understanding these trends. Results Year was a significant factor in both geospatial and climatic analyses, revealing that flowering time has advanced by ~9 days over the past ~150 years. We found that temperature as well as vapor pressure deficit, an understudied climatic parameter associated with evapotranspiration and water stress, were strongly associated with peak flowering. We also examined how sampling at different spatiotemporal scales influences the power to detect flowering‐time shifts, finding that relatively large spatial and temporal scales are ideal for detecting flowering‐time shifts in this widespread species. Conclusions Our results emphasize the importance of understanding the interplay of geospatial factors at different scales to examine how species respond to climate change.