z-logo
open-access-imgOpen Access
Assessing forestland area based on canopy cover in a semi-arid region: a case study
Author(s) -
John W. Coulston,
Sonja N. Oswalt,
A. B. Carraway,
W. Brad Smith
Publication year - 2010
Publication title -
forestry an international journal of forest research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.747
H-Index - 63
eISSN - 1464-3626
pISSN - 0015-752X
DOI - 10.1093/forestry/cpp039
Subject(s) - canopy , cover (algebra) , tree canopy , arid , woodland , agroforestry , environmental science , agriculture , forest cover , geography , plant cover , forestry , ecology , biology , mechanical engineering , archaeology , engineering
Summary Forestland area estimates are the first principle of most ecological assessments across spatial scales. The definition of forest used by the United Nations Food and Agriculture Organization is based on a 10 per cent canopy cover threshold while the definition of forest used by the US Forest Service Forest Inventory and Analysis programme in western woodlands is based on a 5 per cent canopy cover threshold. Most of the eastern US forests have the ability to reach 10 per cent cover; however, in semi-arid areas such as western Texas, there is considerable area of forestland with less than 10 per cent canopy cover. The main objective of this research was to provide an estimate of forestland area in west Texas based on a 10 per cent canopy cover threshold. To accomplish this, we developed and compared three classification models that discriminate between inventory plots with less than 10 per cent cover and those with at least 10 per cent cover. We found that ~3.9 million ha (17 per cent) of forestland area (based on 5 per cent cover) did not meet the 10 per cent canopy cover threshold.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom