Literature DB >> 25156979

Determining past leaf-out times of New England's deciduous forests from herbarium specimens.

Peter H Everill1, Richard B Primack1, Elizabeth R Ellwood2, Eli K Melaas3.   

Abstract

UNLABELLED: • PREMISE OF THE STUDY: There is great interest in studying leaf-out times of temperate forests because of the importance of leaf-out in controlling ecosystem processes, especially in the face of a changing climate. Remote sensing and modeling, combined with weather records and field observations, are increasing our knowledge of factors affecting variation in leaf-out times. Herbarium specimens represent a potential new source of information to determine whether the variation in leaf-out times observed in recent decades is comparable to longer time frames over past centuries.•
METHODS: Here we introduce the use of herbarium specimens as a method for studying long-term changes in leaf-out times of deciduous trees. We collected historical leaf-out data for the years 1834-2008 from common deciduous trees in New England using 1599 dated herbarium specimens with young leaves.• KEY
RESULTS: We found that leaf-out dates are strongly affected by spring temperature, with trees leafing out 2.70 d earlier for each degree C increase in mean April temperature. For each degree C increase in local temperature, trees leafed out 2.06 d earlier. Additionally, the mean response of leaf-out dates across all species and sites over time was 0.4 d earlier per decade. Our results are of comparable magnitude to results from studies using remote sensing and direct field observations.•
CONCLUSIONS: Across New England, mean leaf-out dates varied geographically in close correspondence with those observed in studies using satellite data. This study demonstrates that herbarium specimens can be a valuable source of data on past leaf-out times of deciduous trees.
© 2014 Botanical Society of America, Inc.

Keywords:  New England; climate change; forests; herbarium specimens; leaf-out; phenology; remote sensing; trees

Mesh:

Year:  2014        PMID: 25156979     DOI: 10.3732/ajb.1400045

Source DB:  PubMed          Journal:  Am J Bot        ISSN: 0002-9122            Impact factor:   3.844


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