Evidence map›Paper›PMID 26483475›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

Deciduous forest responses to temperature, precipitation, and drought imply complex climate change impacts.

Yingying Xie, Xiaojing Wang, John A Silander

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

  1. Article
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  3. Short-term experimental flooding impacts soil biogeochemistry but not aboveground vegetation in a coastal forest.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  14. Article
  15. Spatiotemporal Variation ofFrontiers in plant science · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Rethinking false spring risk.Global change biology · 2019
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Yingying XieDepartment of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT 06269-3043; yingying.xie1@gmail.com.ORCID http://orcid.org/0000-0002-7759-6178
Xiaojing WangDepartment of Statistics, University of Connecticut, Storrs, CT 06269-4120.
John A SilanderDepartment of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT 06269-3043;

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Climate ChangeDroughtsForestsRainTemperatureEcological Parameter MonitoringEcosystemForecastingGeographyModels, TheoreticalNew EnglandSeasonsTime FactorsTreesdormancy datefrostLand-surface phenologyNew England

Identifiers

PMID26483475
PMCPMC4640769

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.