Deciduous forest responses to temperature, precipitation, and drought imply complex climate change impacts.
Changes in spring and autumn phenology of temperate plants in recent decades have become iconic bio-indicators of rapid climate change. These changes have substantial ecological and economic impacts. However, autumn phenology remains surprisingly little studied. Although the effects of unfavorable environmental conditions (e.g., frost, heat, wetness, and drought) on autumn phenology have been observed for over 60 y, how these factors interact to influence autumn phenological events remain poorly understood. Using remotely sensed phenology data from 2001 to 2012, this study identified and quantified significant effects of a suite of environmental factors on the timing of fall dormancy of deciduous forest communities in New England, United States. Cold, frost, and wet conditions, and high heat-stress tended to induce earlier dormancy of deciduous forests, whereas moderate heat- and drought-stress delayed dormancy. Deciduous forests in two eco-regions showed contrasting, nonlinear responses to variation in these explanatory factors. Based on future climate projection over two periods (2041-2050 and 2090-2099), later dormancy dates were predicted in northern areas. However, in coastal areas earlier dormancy dates were predicted. Our models suggest that besides warming in climate change, changes in frost and moisture conditions as well as extreme weather events (e.g., drought- and heat-stress, and flooding), should also be considered in future predictions of autumn phenology in temperate deciduous forests. This study improves our understanding of how multiple environmental variables interact to affect autumn phenology in temperate deciduous forest ecosystems, and points the way to building more mechanistic and predictive models.
Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT 06269-3043; yingying.xie1@gmail.com.
Yingying
http://orcid.org/0000-0002-7759-6178
Y
Xie
Department of Statistics, University of Connecticut, Storrs, CT 06269-4120.
Xiaojing
X
Wang
Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT 06269-3043;
John A
JA
Silander
D057231:Climate Change; D055864:Droughts; D064308:Ecological Parameter Monitoring / Q000379:methods / Q000706:statistics & numerical data / Q000639:trends; D017753:Ecosystem; D005544:Forecasting; D065928:Forests; D005843:Geography; D008962:Models, Theoretical; D009511:New England; D011891:Rain; D012621:Seasons; D013696:Temperature; D013997:Time Factors; D014197:Trees / Q000145:classification / Q000254:growth & development*
Land-surface phenology; New England; dormancy date; frost