Skip to main content

Spatial Stochastic Modeling of Growth and Forest Resource Evaluation

Buy Article:

$21.50 plus tax (Refund Policy)

Possibilities of spatial interpolations by the unbiased and minimum variance technique of kriging for mapping forest inventories have been examined. Observations recorded on the height of Dharek (Melia azedarach Linn.) planted in a sodic soil at 3 x 6 m spacing were used as test data. Coefficient of variation (CV) in the tree height was 28%, 30%, and 27% after 1, 2, and 3 years of growth as compared to 6% 1 month after the sapling establishment. The heterogeneity was modeled as intrinsic random fields of geostatistics after removing the deterministic component nonparametrically. Tree height varied both as a function of direction in the field (anisotropy) as well as lag distance. Depending on the age, 70 to 77% of the heterogeneity was structured in the NW-SE direction. Since modeling could be validated very precisely, interpolation (kriging) of the values at locations between the sampled sites for the inventory mapping has been recommended. Error variance of the kriging estimator (jackknifing) was 9% of the general mean. Suitability of this technique for forest resource evaluation from the samples taken on the ground or on the remotely sensed devices has been indicated. For Sci. 35(3):663-676.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Keywords: Variation; ecological mapping; geostatistics; kriging; regionalized variables

Document Type: Journal Article

Affiliations: Scientist, Indian Agricultural Statistical Research Institute, New Delhi-110012, India

Publication date: 1989-09-01

More about this publication?
  • Important Notice: SAF's journals are now published through partnership with the Oxford University Press. Access to archived material will be available here on the Ingenta website until March 31, 2018. For new material, please access the journals via OUP's website. Note that access via Ingenta will be permanently discontinued after March 31, 2018. Members requiring support to access SAF's journals via OUP's site should contact SAF's membership department for assistance.

    Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2016 Impact Factor: 1.782 (Rank 17/64 in forestry)

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
  • Submit a Paper
  • Membership Information
  • Author Guidelines
  • Podcasts
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more