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[Plot analysis in the dark coniferous ecosystem using GPS and GIS techniques].

Wenbin Guan1, Chunhua Xie, Jian'an Wu

  • 1Key Laboratory of Soil and Water Conservation of Forestry Bureau, Beijing Forestry University, Beijing 100083.

Ying Yong Sheng Tai Xue Bao = the Journal of Applied Ecology
|October 19, 2002
PubMed
Summary

Surveying high-altitude forests is challenging, but Global Positioning System (GPS) and Geographic Information System (GIS) techniques enable precise plot identification and spatial pattern analysis. These "2S" technologies are vital for effective forest ecosystem management.

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Area of Science:

  • Forestry
  • Ecology
  • Geomatics

Background:

  • Surveying primary forests in high-altitude regions presents significant logistical challenges.
  • Traditional methods are often insufficient for detailed spatial analysis in these environments.

Purpose of the Study:

  • To evaluate the precision and applicability of Global Positioning System (GPS) and Geographic Information System (GIS) techniques for forest ecosystem management in high-altitude areas.
  • To demonstrate the utility of these "2S" technologies for ecological process simulation.

Main Methods:

  • Employed rapid-static positioning combined with tape-measure for plot identification.
  • Utilized GPS and GIS for precise spatial pattern display and data analysis.
  • Calculated Root Mean Square (RMS) error, variance, and positional deviations (delta B, delta L, delta H).

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Main Results:

  • Achieved relatively precise positioning, with an average RMS of 2.84 and variance of 2.96.
  • Positional accuracy (delta B, delta L, delta H) met forestry management requirements.
  • GIS facilitated visual simulation of ecological processes like gap succession dynamics.

Conclusions:

  • The "2S" (GPS and GIS) techniques are highly effective for fine-scale forest ecosystem management, particularly in challenging high-altitude environments.
  • These geomatics technologies provide sufficient precision for forestry management and ecological modeling.