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Of mast and mean: differential‐temperature cue makes mast seeding insensitive to climate change
Authors:Dave Kelly  Andre Geldenhuis  Alex James  E Penelope Holland  Michael J Plank  Robert E Brockie  Philip E Cowan  Grant A Harper  William G Lee  Matt J Maitland  Alan F Mark  James A Mills  Peter R Wilson  Andrea E Byrom
Institution:1. Biological Sciences, University of Canterbury, , Christchurch, 8140 New Zealand;2. Biomathematics Research Centre, University of Canterbury, , Christchurch, 8140 New Zealand;3. Landcare Research, , Lincoln, 7640 New Zealand;4. , Otaki, 5512 New Zealand;5. Department of Conservation, , Nelson, 7053 New Zealand;6. School of Biological Sciences, University of Auckland, , Auckland 1010, New Zealand;7. Botany Department, University of Otago, , Dunedin, 9054 New Zealand;8. 10527a Skyline Drive, , Corning, New York, 14830 USA
Abstract:Mast‐seeding plants often produce high seed crops the year after a warm spring or summer, but the warm‐temperature model has inconsistent predictive ability. Here, we show for 26 long‐term data sets from five plant families that the temperature difference between the two previous summers (ΔT) better predicts seed crops. This discovery explains how masting species tailor their flowering patterns to sites across altitudinal temperature gradients; predicts that masting will be unaffected by increasing mean temperatures under climate change; improves prediction of impacts on seed consumers; demonstrates that strongly masting species are hypersensitive to climate; explains the rarity of consecutive high‐seed years without invoking resource constraints; and generates hypotheses about physiological mechanisms in plants and insect seed predators. For plants, ΔT has many attributes of an ideal cue. This temperature‐difference model clarifies our understanding of mast seeding under environmental change, and could also be applied to other cues, such as rainfall.
Keywords:Climate cue  global warming  mast flowering  predator satiation  predictive model  wind pollination
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