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Related Concept Videos

Testing a Claim about Mean: Unknown Population SD01:21

Testing a Claim about Mean: Unknown Population SD

A complete procedure of testing a hypothesis about a population mean when the population standard deviation is unknown is explained here.
Estimating a population mean requires the samples to be approximately normally distributed. The data should be collected from the randomly selected samples having no sampling bias. There is no specific requirement for sample size. But if the sample size is less than 30, and we don't know the population standard deviation, a different approach is used; instead...
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...
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Conservation of Declining Populations

Conservation of declining population focuses on ways of detecting, diagnosing, and halting a population decline. The approach uses methods to prevent populations from going extinct.
Types of Hypothesis Testing01:11

Types of Hypothesis Testing

There are three types of hypothesis tests: right-tailed, left-tailed, and two-tailed.
When the null and alternative hypotheses are stated, it is observed that the null hypothesis is a neutral statement against which the alternative hypothesis is tested. The alternative hypothesis is a claim that instead has a certain direction. If the null hypothesis claims that p = 0.5, the alternative hypothesis would be an opposing statement to this and can be put either p > 0.5, p < 0.5, or p ≠ 0.5.
Testing a Claim about Mean: Known Population SD01:11

Testing a Claim about Mean: Known Population SD

A complete procedure of testing the hypothesis about a population mean is explained here.
Estimating a population mean requires the samples to be distributed normally. The data should be collected from the randomly selected samples having no sampling bias. The sample size needed to be higher than 30, and most importantly, the population standard deviation should be already known.
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Thermal Imaging to Study Stress Non-invasively in Unrestrained Birds
10:07

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Published on: November 6, 2015

Testing hypotheses associated with bird responses to wildfire.

David B Lindenmayer1, Jeff T Wood, Ross B Cunningham

  • 1Fenner School of Environment and Society, Australian National University, Canberra, ACT 0200, Australia. david.lindenmayer@anu.edu.au

Ecological Applications : a Publication of the Ecological Society of America
|March 7, 2009
PubMed
Summary
This summary is machine-generated.

Bird species richness declined with increased fire frequency, contradicting intermediate disturbance theory. However, most bird communities recovered quickly after a single wildfire, especially in complex habitats.

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Area of Science:

  • Ecological disturbance
  • Community ecology
  • Avian ecology

Background:

  • Disturbance is a critical ecological process affecting species distribution and abundance.
  • Predicting biota responses to disturbance remains challenging.
  • Ecological theories on disturbance impacts require empirical validation.

Purpose of the Study:

  • To test predictions from disturbance-related theories using bird responses to fire history.
  • To assess bird community recovery following a wildfire event.
  • To investigate the influence of vegetation structure on post-fire bird recovery.

Main Methods:

  • Retrospective study of bird responses to 35 years of fire history across 110 sites.
  • Prospective study of bird community dynamics after a 2003 wildfire at 59 sites.
  • Analysis of bird species richness and assemblage composition in relation to fire frequency and vegetation structure.

Main Results:

  • Bird species richness was negatively correlated with fire frequency, contradicting the intermediate-disturbance hypothesis.
  • Most bird species and assemblages recovered within two years post-wildfire.
  • Recovery was faster in structurally complex vegetation (forests, woodlands) than simple types (sedgelands).

Conclusions:

  • Long-term fire frequency negatively impacts bird species richness, but short-term recovery from single fire events is rapid.
  • Vegetation structure significantly influences post-fire bird community recovery dynamics.
  • Postfire vegetation regeneration and specialist availability are key factors in avian recovery.