Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Ecological Disturbance

Ecological Disturbance

An ecological disturbance is a temporary disruption in the environment resulting from abiotic, biotic, or anthropogenic factors, causing a pronounced change in an ecosystem. The impact of an ecological disturbance, which can depend on its intensity, frequency, and spatial distribution, plays a significant role in shaping the species diversity within the ecosystem.

Precipitation Processes

Precipitation Processes

The experimental conditions in a gravimetric analysis should be optimized to maximize the particle size and purity of the obtained precipitate. Ideally, the concentration of the precipitating reagent should be low with effective stirring to maintain low relative supersaturation for the growth of large crystals. In homogeneous precipitation, the precipitant is slowly generated by a chemical reaction in the solution to avoid local reagent excesses. For example, urea decomposes gradually to...

What is an Ecosystem?

What is an Ecosystem?

What is Climate?

What is Climate?

Climate refers to the prevailing weather conditions in a specific area over an extended period. As the saying goes, “Climate is what you expect. Weather is what you get.” Climate is influenced by geographic factors, such as latitude, terrain, and proximity to bodies of water.

Responses to Drought and Flooding

Responses to Drought and Flooding

Water plays a significant role in the life cycle of plants. However, insufficient or excess of water can be detrimental and pose a serious threat to plants.

What is Weather?

What is Weather?

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Inequality in human development amplifies climate-related disaster risk.

Nature communications·2026

Same author

Different Tree Recruitment Patterns at Treelines Are Associated With the Atlantic Multi-Decadal Oscillation Across the Northern Hemisphere.

Global change biology·2026

Same author

Leveraging remote sensing and crowd-sourced biodiversity data for enhanced plant functional trait mapping.

Nature communications·2026

Same author

Kernel detrended fluctuation analysis: A nonlinear, multivariate method for detecting long-range persistence.

Chaos (Woodbury, N.Y.)·2026

Same author

Mortality risk during the COVID-19 pandemic is shaped by human development.

BMC global and public health·2026

Same author

Accelerated north-east shift of the global green wave trajectory.

Proceedings of the National Academy of Sciences of the United States of America·2026

Same journal

Anolis shrevei.

Nature ecology & evolution·2026

Same journal

Comparative primate analysis shows that humans are not unique in having a tight cephalopelvic fit at birth.

Nature ecology & evolution·2026

Same journal

Antiviral immunity regulates cnidarian viriomes.

Nature ecology & evolution·2026

Same journal

An ancient anthozoan protein reveals an alternative evolutionary path of antiviral signalling.

Nature ecology & evolution·2026

Same journal

A global research coordination programme is urgently needed for biodiversity.

Nature ecology & evolution·2026

Same journal

Avoid overdependence on carbon markets in conservation finance.

Nature ecology & evolution·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Feb 20, 2026

The Calibration and Use of Capacitance Sensors to Monitor Stem Water Content in Trees

The Calibration and Use of Capacitance Sensors to Monitor Stem Water Content in Trees

Published on: December 27, 2017

Ecosystem functioning is enveloped by hydrometeorological variability.

Christoforos Pappas¹, Miguel D Mahecha^2,3, David C Frank^4,5

¹Département de Géographie and Centre d'Études Nordiques, Université de Montréal, Montréal, QC, H2V 2B8, Canada. christoforos.pappas@umontreal.ca.

Nature Ecology & Evolution

|October 20, 2017

Summary

This summary is machine-generated.

Terrestrial ecosystems show long-term memory in their carbon dynamics, responding persistently to hydrometeorological variability. Current models fail to capture this ecological memory, necessitating new frameworks for better climate-biosphere feedback understanding.

More Related Videos

Generation of Dynamical Environmental Conditions using a High-Throughput Microfluidic Device

Generation of Dynamical Environmental Conditions using a High-Throughput Microfluidic Device

Published on: April 17, 2021

Simulating Impacts of Ice Storms on Forest Ecosystems

Simulating Impacts of Ice Storms on Forest Ecosystems

Published on: June 30, 2020

Related Experiment Videos

Last Updated: Feb 20, 2026

The Calibration and Use of Capacitance Sensors to Monitor Stem Water Content in Trees

The Calibration and Use of Capacitance Sensors to Monitor Stem Water Content in Trees

Published on: December 27, 2017

Generation of Dynamical Environmental Conditions using a High-Throughput Microfluidic Device

Generation of Dynamical Environmental Conditions using a High-Throughput Microfluidic Device

Published on: April 17, 2021

Simulating Impacts of Ice Storms on Forest Ecosystems

Simulating Impacts of Ice Storms on Forest Ecosystems

Published on: June 30, 2020

Area of Science:

Earth System Science
Ecology
Hydrology

Background:

Terrestrial carbon cycle variability and climate-biosphere feedbacks remain uncertain due to poorly constrained long-term dynamics.
Ecosystem responses to hydrometeorological variability differ across timescales, impacting our understanding of underlying mechanisms.

Purpose of the Study:

To comprehensively analyze hydrometeorological and ecosystem variability across multiple timescales (hourly to decadal).
To investigate the long-term persistence of ecosystem variability and compare it with current ecosystem models.
To develop a novel framework for modeling ecosystem variability across different timescales.

Main Methods:

Integration of multiple in situ and remote-sensing datasets for extra-tropical forest sites.
Analysis of ecosystem variability within a defined hydrometeorological envelope.
Comparison of observed ecosystem persistence with simulations from process-based models.
Development of a cross-time-scale stochastic framework.

Main Results:

Ecosystem variability at all studied sites is constrained by hydrometeorological conditions across all timescales.
Ecosystem variability exhibits significant long-term persistence, indicating ecological memory and slow recovery.
State-of-the-art process-based models do not accurately represent this observed long-term persistent behavior.

Conclusions:

Observed long-term persistence in terrestrial ecosystem functioning highlights the importance of ecological memory.
Current ecosystem models require refinement to incorporate slow recovery rates and long-term persistence.
The developed cross-time-scale stochastic framework offers a new perspective for terrestrial ecosystem modeling and model-data integration.