LAI estimation of natural pine forest using a non-standard sampling technique

LAI estimation of natural pine forest using a non-standard sampling technique Indirect methods to estimate the leaf area index (LAI) in forests have been less successful than the more costly direct (allometric) methods. Our aim was to find an indirect method to estimate LAI efficiently, using the LAI-2000, Plant Canopy Analyzer, in forest stands of Pinus halepensis . The direct LAI estimate of individual trees was carried out through destructive sampling. In forest stands, direct estimates were derived from the allometric relationship between leaf area per tree and diameter at breast height (DBH). Indirect estimates were conducted with a standard strategy (i.e., multiple readings per plot placing the sensor at sites selected systematically on a transect) and with our non-standard strategy consisting of reading at a single point per plot, standardising the distance and orientation from a subject tree to reduce variability. The non-standard sampling strategy was a procedure as effective and accurate as the indirect standard strategy (transects), but more labour-efficient. The indirect estimate of the LAI-STAND using the LAI-2000, with either strategy was unbiased. These results advocate the use of a non-standard strategy scattering the sampling points throughout the stand rather than concentrating all the effort on a few plots following a standard strategy and leaving the rest of the stand unchecked. Also, both the standard and the non-standard strategy yielded significant regression models to estimate forest stand parameters, which are labour expensive to measure using direct methods. Thus, the LAI-2000 could be used as a tool to estimate such parameters indirectly. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Agricultural and Forest Meteorology Elsevier

LAI estimation of natural pine forest using a non-standard sampling technique

Loading next page...
 
/lp/elsevier/lai-estimation-of-natural-pine-forest-using-a-non-standard-sampling-gnWQajT1PS
Publisher
Elsevier
Copyright
Copyright © 2000 Elsevier Science B.V.
ISSN
0168-1923
DOI
10.1016/S0168-1923(99)00171-9
Publisher site
See Article on Publisher Site

Abstract

Indirect methods to estimate the leaf area index (LAI) in forests have been less successful than the more costly direct (allometric) methods. Our aim was to find an indirect method to estimate LAI efficiently, using the LAI-2000, Plant Canopy Analyzer, in forest stands of Pinus halepensis . The direct LAI estimate of individual trees was carried out through destructive sampling. In forest stands, direct estimates were derived from the allometric relationship between leaf area per tree and diameter at breast height (DBH). Indirect estimates were conducted with a standard strategy (i.e., multiple readings per plot placing the sensor at sites selected systematically on a transect) and with our non-standard strategy consisting of reading at a single point per plot, standardising the distance and orientation from a subject tree to reduce variability. The non-standard sampling strategy was a procedure as effective and accurate as the indirect standard strategy (transects), but more labour-efficient. The indirect estimate of the LAI-STAND using the LAI-2000, with either strategy was unbiased. These results advocate the use of a non-standard strategy scattering the sampling points throughout the stand rather than concentrating all the effort on a few plots following a standard strategy and leaving the rest of the stand unchecked. Also, both the standard and the non-standard strategy yielded significant regression models to estimate forest stand parameters, which are labour expensive to measure using direct methods. Thus, the LAI-2000 could be used as a tool to estimate such parameters indirectly.

Journal

Agricultural and Forest MeteorologyElsevier

Published: Mar 30, 2000

References

  • Modelling the radiative transfer in discontinuous canopies of asymmetric crowns II. Model testing and application in a Norway spruce stand
    Cescatti, A.
  • Optically-based methods for measuring seasonal variation of leaf area index in boreal conifer stands
    Chen, J.M.
  • Defining leaf area index for non-flat leaves
    Chen, J.M.; Black, T.A.
  • Measurements of branch area and adjusting leaf area index indirect measurements
    Kucharik, C.J.; Norman, J.M.; Gower, S.T.
  • Response of LAI-2000 estimates to changes in plant surface area index in a Scots pine stand
    Smolander, H.; Stenberg, P.
  • Correcting LAI-2000 estimates for the clumping of needles in shoots of conifers
    Stenberg, P.

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create folders to
organize your research

Export folders, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off