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Residuals and Least-Squares Property01:11

Residuals and Least-Squares Property

The vertical distance between the actual value of y and the estimated value of y. In other words, it measures the vertical distance between the actual data point and the predicted point on the line
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Scatter Plot01:15

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Levels of Use of a GIS01:29

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Factors Influencing Attraction I: Proximity01:22

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Related Experiment Video

Updated: May 29, 2026

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

Predictors of occupancy trend across spatial scale.

Michael A Patten1,2, Brenda D Smith-Patten1

  • 1Oklahoma Biological Survey, University of Oklahoma, Norman, OK 73019, U.S.A., email mpatten@ou.edu.

Conservation Biology : the Journal of the Society for Conservation Biology
|September 3, 2011
PubMed
Summary
This summary is machine-generated.

Local bird extirpation risk is influenced by forest dependence and diet, not just global factors like range size. Small-bodied birds are particularly vulnerable, highlighting the need for localized extinction probability studies.

Related Experiment Videos

Last Updated: May 29, 2026

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

Area of Science:

  • Ecology
  • Conservation Biology
  • Ornithology

Background:

  • Global extinction risk assessments may not fully capture local extirpation drivers.
  • Understanding species-specific vulnerabilities in deforested areas is crucial for targeted conservation.

Purpose of the Study:

  • To identify factors predicting increased extirpation probability for bird species in Palenque, Mexico.
  • To compare local extirpation predictors with those identified in global extinction risk studies.

Main Methods:

  • Utilized nearly annual presence-absence data for >200 bird species over 40 years.
  • Assessed associations between long-term species presence trends and ecological traits (body size, diet, forest dependence, etc.).
  • Employed weighted logistic regression and model ranking to determine predictor importance.

Main Results:

  • Global predictors like large body size and small geographic range were not consistently associated with local species loss.
  • Forest dependence strongly correlated with declining species occurrence, with high-dependence species showing the steepest decline.
  • Diet and foraging strata interactions were significant, with some groups increasing and others decreasing in occurrence.

Conclusions:

  • Local-scale analyses are essential for accurately assessing extirpation risk.
  • Species' reliance on forest habitat and specific dietary niches are key local drivers of population decline.
  • Conservation strategies must consider localized ecological factors beyond global threat assessments.