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Related Concept Videos

Global Climate Change01:50

Global Climate Change

Throughout its ~4.5 billion year history, the Earth has experienced periods of warming and cooling. However, the current drastic increase in global temperatures is well outside of the Earth’s cyclic norms, and evidence for human-caused global climate change is compelling. Paleoclimatology, the study of ancient climate conditions, provides ample evidence for human-caused global climate change by comparing recent conditions with those in the past.
Adaptations that Reduce Water Loss01:57

Adaptations that Reduce Water Loss

Though evaporation from plant leaves drives transpiration, it also results in loss of water. Because water is critical for photosynthetic reactions and other cellular processes, evolutionary pressures on plants in different environments have driven the acquisition of adaptations that reduce water loss.
Threats to Biodiversity01:50

Threats to Biodiversity

There have been five major extinction events throughout geological history, resulting in the elimination of biodiversity, followed by a rebound of species that adapted to the new conditions. In the current geological epoch, the Holocene, there is a sixth extinction event in progress. This mass extinction has been attributed to human activities and is thus provisionally called the Anthropocene. In 2019 the human population reached 7.7 billion people and is projected to comprise 10 billion by...
Survival Tree01:19

Survival Tree

Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
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Microbes and Climate Change01:27

Microbes and Climate Change

Microorganisms are pivotal agents in Earth's biogeochemical cycles, significantly influencing climate dynamics through their metabolic activities. These microbes modulate the levels of key greenhouse gases by both contributing to and helping mitigate climate change.Microbial Contributions to Greenhouse Gas EmissionsRising global temperatures accelerate microbial metabolism, which, in turn, speeds up the decomposition of organic matter. This process releases carbon dioxide (CO₂) through...
Responses to Heat and Cold Stress02:45

Responses to Heat and Cold Stress

Every organism has an optimum temperature range within which healthy growth and physiological functioning can occur. At the ends of this range, there will be a minimum and maximum temperature that interrupt biological processes.

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Related Experiment Video

Updated: Jul 13, 2026

Simulating Impacts of Ice Storms on Forest Ecosystems
06:27

Simulating Impacts of Ice Storms on Forest Ecosystems

Published on: June 30, 2020

Climate Change Projected to Increase Rates of Background Tree Mortality Across Eastern North America.

Jiejie Wang1,2,3, Anthony R Taylor1, Mathieu Bouchard2

  • 1Faculty of Forestry and Environmental Management, University of New Brunswick, Fredericton, New Brunswick, Canada.

Global Change Biology
|July 11, 2026
PubMed
Summary

Warmer temperatures increase background tree mortality across North America. This study predicts rising mortality rates for several key tree species, impacting forest health and carbon dynamics.

Keywords:
background tree mortalityclimate changeeastern North Americaforest dynamicsmachine learningpermanent sample plots

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Published on: May 27, 2014

Area of Science:

  • Forest Ecology
  • Climate Change Science
  • Machine Learning Applications in Ecology

Background:

  • Tree mortality is crucial for forest health, carbon cycling, and biodiversity.
  • The impact of climate change on background tree mortality, independent of major disturbances, is not well understood.

Purpose of the Study:

  • To investigate and predict the effects of climate on background tree mortality for nine abundant tree species in eastern North America.
  • To develop species-specific climate-mortality models accounting for stand development, CO2, and SO4 pollution.

Main Methods:

  • Utilized a machine learning approach on a large dataset of 24,576 forest permanent sample plots across Canada and the United States.
  • Developed species-specific models controlling for stand development, CO2, and SO4.
  • Analyzed data spanning a wide range of temperature and precipitation conditions.

Main Results:

  • Temperature was a top predictor of tree mortality rates, with warmer temperatures correlating to higher background mortality for most species.
  • Predicted increases in tree mortality rates are expected along the southern ranges of species due to future warming.
  • Mortality rates are projected to rise by 0.2%-0.7% per year for five of nine species by mid-century under SSP2-4.5.

Conclusions:

  • Climate-driven background tree mortality is a significant factor influencing future forest dynamics.
  • Understanding these climate-driven variations is essential for forest management and conservation strategies.
  • The study highlights the vulnerability of eastern North American forests to projected climate change.