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2 edition of Sampling and estimation procedures for the vegetation diversity and structure indicator found in the catalog.

Sampling and estimation procedures for the vegetation diversity and structure indicator

Bethany Schulz

Sampling and estimation procedures for the vegetation diversity and structure indicator

by Bethany Schulz

  • 135 Want to read
  • 39 Currently reading

Published by U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station in Portland, OR .
Written in English

    Subjects:
  • Forest biodiversity -- United States -- Measurement,
  • Forest health -- United States -- Measurement,
  • Forest surveys -- United States -- Methodology

  • About the Edition

    The Vegetation Diversity and Structure Indicator (VEG) is an extensive inventory of vascular plants in the forests of the United States. The VEG indicator provides baseline data to assess trends in forest vascular plant species richness and composition, and the relative abundance and spatial distribution of those species, including invasive and introduced species. The VEG indicator is one of several sets of measures collected by the Forest Inventory and Analysis (FIA) Program of the USDA Forest Service to assess forest health. This document describes the sampling design, field data collection methods, primary output objectives, and estimation procedures for summarizing FIA VEG data.

    Edition Notes

    StatementBethany K. Schulz, William A. Bechtold, and Stanley J. Zarnoch.
    SeriesGeneral technical report PNW -- GTR-781, General technical report PNW -- 781.
    ContributionsBechtold, William A., Zarnoch, Stanley J., Pacific Northwest Research Station (Portland, Or.)
    Classifications
    LC ClassificationsQH104 .S32 2009
    The Physical Object
    Pagination53 p. :
    Number of Pages53
    ID Numbers
    Open LibraryOL24119873M
    LC Control Number2009376236

    Reliable estimation can only be obtained with both relatively complete and non-biased samples of diversity and robust estimation methods. In this study, we took advantage of a large set of sample data with almost exhaustive sampling efforts and recently well-developed species richness by: The estimation of various properties of vegetation has commonly been dependent upon measurements from relatively small samples called quadrats. The accuracy of such estimates is governed by both the size and number of quadrats sampled (14). For a given amount of labour theCited by: 3.

    Vegetation Description and Data Analysis: A PracticalApproach, Second Edition is a fully revised and up-datededition of this key text. The book takes account of recent advancesin the field whilst retaining the original reader-friendly approachto the coverage of vegetation description and multivariate analysisin the context of vegetation data and plant ecology.   An Evaluation of Plotless Sampling Using Vegetation Simulations and Field Data from a Mangrove Forest. mangroves have a very low species diversity. this number was varied between 5 and 30 random sampling points. Both the mean estimation and standard variation for the different values are are shown in 12 figures, one for each site and Cited by:

    Methods for vegetation sampling and analysis on revegetated mined lands / Related Titles. Series: United States. Intermountain Forest and Range Experiment Station. USDA Forest Service general technical report INT ; By. Chambers, Jeanne C. Vegetation analysis in Alabel show ed that species with the highest importance value was A. marina (%) and S. alba (%) in Maasim sampling site. Cluster analysis showed moderate similarity amon g plots observed from the same site than plots from different sites. community structure in which the sampling plots of two.


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Sampling and estimation procedures for the vegetation diversity and structure indicator by Bethany Schulz Download PDF EPUB FB2

Get this from a library. Sampling and estimation procedures for the vegetation diversity and structure indicator. [Bethany Schulz; William A Bechtold; Stanley J Zarnoch; Pacific Northwest Research Station (Portland, Or.)] -- The Vegetation Diversity and Structure Indicator (VEG) is an extensive inventory of vascular plants in the forests of the United States.

Sampling and estimation procedures for the vegetation diversity and structure indicator. Gen. Tech. Rep. PNW-GTR Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station.

53 p. The Vegetation Diversity and Structure Indicator (VEG) is an extensive inven-Cited by: Sampling Vegetation Attributes Interagency Technical Reference Cooperative Extension Service U.S. Department of Agriculture — Forest Service — Natural Resource Conservation Service, Grazing Land Technology Institute U.S.

Department of the Interior — Bureau of. indicator species and priority conservation areas: a case study for broadleaved forests in Lombardy, Italy. Conservation Biology.

– Barber, J.; Berglund, D.; Bush, R.; Manning, M. The R1 existing vegetation classification system and its relationship to inventory data and the Region 1 existing vegetation map : M.M. Rowland, C.D. Vojta. Field techniques refer to the standardized methods employed to select, count, measure, capture, mark, and observe individuals sampled from the target population for the purpose of collecting data required to achieve study objectives.

The term also includes methods used to collect voucher specimens, tissue samples, and habitat data. ♥ Book Title: Sampling and Estimation Procedures for the Vegetation Diversity and Structure Indicator ♣ Name Author: Bethany Schulz ∞ Launching: Info ISBN Link: MINNDW ⊗ Detail ISBN code: ⊕ Number Pages: Total 53 sheet ♮ News id: AezQRPksHuUC Download File Start Reading ☯ Full Synopsis: "The Vegetation Diversity and Structure Indicator (VEG) is an.

USGS/NPS Vegetation Mapping Program Field Methods for Vegetation Mapping — Final Draft. Final Draft. Field Methods for Vegetation Mapping. USGS/NPS Vegetation Mapping Program December Prepared For: United States Department of Interior Unite States Geological Survey and National Park Service Prepared By: The Nature Conservancy N.

Introduction - clarification of concepts. Background and current trends in vegetation ecology. Plant community hypotheses. Considerations in vegetation sampling.

Vegetation analysis in the field. Community sampling: the releve method. Measuring species quantities. The count-plot method and plotless sampling techniques. Classifying and ordinating vegetation data.5/5(1). ing its forestland procedures for use in urban forest health monitoring efforts. The FIA design includes fixed-plot procedures for measurement of understory vegetation diversity and structure, including shrub species (FIA ).

Shrubs are measured as cover in a nested design as part of the phase 3 (P3) or Forest Health Monitoring (FHM) protocol. We compared the structure and composition of vegetation communities across different land uses in the northern Gonarezhou National Park and adjacent areas, southeast Zimbabwe.

Vegetation data were collected from 60 sample plots using a stratified random sampling technique from April to May Stratification was by land use, and sample plots in all three strata occurred on predominantly Cited by: 5.

(2) Different sampling methods do not differ statistically from each other when used for the characterization of the horizontal structure of vegetation.

However, when the sampling effort was met, the Fixed Area, Results richness observed in th Richness and diversity sampling effort in relation to the number of individuals, and. Use of Ancillary Data to Improve the Analysis of Forest Health Indicators David Gartner, Editor tion procedures for the vegetation diversity and structure indicator.

Gen. Tech. Rep. PNW–GTR– Portland, OR: U.S. Department of national sampling design. Sampling adequacy estimation for plant species composition by accumulation curves—A case study of urban vegetation in Beijing, China The fundamental structure of the city is a regular square form.

species accumulation curves constructed by accumulating samples provide a possible way to determine an adequate sampling effort for Cited by: Vegetation Sampling Using the Quadrat Method A quadrat is a frame that is laid down to mark out a specific area of the community to be sampled.

Within the quadrat frame, the occurrence of plants is recorded using an appropriate measure of abundance. The herbs were enumerated for their girth and height in sampling plots. The structure, diversity and biomass of herb communities were analyzed at forest type level and the study found plant Author: Tarun Thakur.

Vegetation Indicator The Vegetation Indicator is a set of variables collected on the Phase 3 (forest health) FIA plots. It is designed to assess the type, abundance, and spatial arrangement of all trees, shrubs, herbs, grasses, ferns, and fern allies (horsetails and club mosses) occurring on the plots.

Species composition refers to the contribution of each plant species to the vegetation. Botanical composition is another term used to describe species composition.

It is regarded as an important indicator of ecological and management processes at a site. Special Considerations for Species Composition Sampling. It describes how the estimation of species richness and diversity of moist evergreen forest is affected by (1) sampling design (simple random sampling, random cluster sampling, systematic cluster Author: Steen Magnussen.

Estimation of above ground biomass in Horton Plains National Park, Sri Lanka using Optical, thermal and RADAR remote sensing data - Tropical Agricultural Research In-text: (Gunawardena, Nissanka, Dayawansa and Fernando, ).

Initial steps to sampling vegetation Development of specific objectives. General aspects of vegetation: Species composition 4 - Spatial distribution, either vertical or horizontal - Temporal variation in structure-Biomass - Overall stand or landscape structure Initial steps to sampling vegetation Example – goal is to inventory naturalFile Size: KB.

There have been several vegetation science textbooks published sincebut their foci have been on ordination and multivariate data analysis instead of on sampling methods. No other text has covered the subject of vegetation sampling design in such depth, breadth, and impartiality as this book, Aims and Methods of Vegetation by:   Effectively sampling and analyzing wetland vegetation is an important part of wetland science, as an indicator of wetland health and quality, and jurisdictional and mitigation success determinations.

This chapter explains spatiotemporal vegetation sampling considerations by addressing key questions, such as which wetlands should be sampled and Cited by: 1.Methods for evaluating wetland condition #10 Using Vegetation To Assess Environmental Conditions in Wetlands.

United States Environmental Protection Agency Office of Water Washington, DC methods for sampling vegetation communities, dis-cuss the techniques by which biological metrics are.