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Saturday, May 2, 2020 | History

3 edition of Creating a first-cut species distribution map for large areas from forest inventory data found in the catalog.

Creating a first-cut species distribution map for large areas from forest inventory data

Rachel Riemann Hershey

Creating a first-cut species distribution map for large areas from forest inventory data

by Rachel Riemann Hershey

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Published by U.S. Dept. of Agriculture, Forest Service, Northeastern Research Station in Radnor, PA (1 Radnor Corp Ctr, Suite 200, Radnor 19087-4585) .
Written in English

    Subjects:
  • Forest mapping -- East (U.S.) -- Statistical methods,
  • Forest surveys -- East (U.S.)

  • Edition Notes

    Other titlesCreating a "first cut" species distribution map for large areas from forest inventory data
    StatementRachel Riemann Hershey, Gordon Reese
    SeriesGeneral technical report NE -- 256
    ContributionsReese, Gordon, United States. Forest Service. Northeastern Research Station
    The Physical Object
    FormatMicroform
    Pagination10 p.
    Number of Pages10
    ID Numbers
    Open LibraryOL15266889M

      Numbers include large areas that were not surveyed and where estimated densities of / km 2 and / km 2 were guesses. Thirteen local populations in Manitoba were estimated to contain to caribou, rounded to and by Rebizant et al. (). No estimate is available for the Nelson-Hayes rivers population, which overlaps. information about species and habitat distribution is available to put in the models. Species’ and rare communities’ distribution data need to be current in order for conservation delivery programs to have a well-informed starting point. In addition to the amount of current, available data, the data collection efforts need to be related to the.

    When more than one wood density value was available, we used the arithmetic mean; in the absence of species specific wood density data we used th e mean value for the genus or family; and, when none of these values were available, we used the plot mean (see Section ). Data A nalyses Tree species richness Species richness. and used as a basis for carbon credit programs. Large areas of former agricultural land in New Jersey have reverted to forest over the past 50 years. Estimating the rate of soil organic accretion in these ecosystems is highly relevant to the assessment .

    The project will seek to detail the ecological criteria currently used to judge whether wildlife crossings are functional or effective, whether targets are established in advance, criteria are based on single target species, observed frequency of use by target or multiple species, population- or ecosystem-level data collection and analysis, or. State of the world’s birds provides information on how birds can be used to focus action and as indicators to monitor change. Using the most up-to-date analyses presented in an attractive and.


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Creating a first-cut species distribution map for large areas from forest inventory data by Rachel Riemann Hershey Download PDF EPUB FB2

Creating a "first-cut" species distribution map for large areas from forest inventory data. Radnor, PA: U.S. Dept. of Agriculture, Forest Service, Northeastern Research Station, [] (OCoLC) Material Type: Government publication, National government publication, Internet resource: Document Type: Book, Internet Resource.

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Presence-only data is often incomplete, particularly for secretive or rare species, and collected opportunistically, creating a potential bias in sampling locations near areas more frequented by. ABSTRACT Aim Nowadays, large amounts of species distribution data and software for implementing different species distribution modelling methods are.

This monograph "Research on Fish and Wildlife Habitat," produced cooperatively with the U.S. Fish and Wildlife Service, provides insights to research progress during the decade of the s that helped pave the way for a cleaner, more productive environment for the s.

Unfortunately, this book can't be printed from the OpenBook. If you need to print pages from this book, we recommend downloading it as a PDF. Visit to get more information about this book, to buy it in print, or to download it as a free PDF. The principal characteristics of interest in bioassessment studies of fish populations include: (1) species richness (number of species)--presence or absence; relative and absolute abundance of each species, (2) size distribution, (3) habitat guilds--pelagic, littoral, and benthic species, (4) trophic guilds--omnivores, piscivores, and.

A typical forest inventory includes information on the acreage of forest land; the number, size, quality and species of the trees; and the stand’s general vigor and health. Once the inventory is completed, it is possible to evaluate the woodland’s current state and potential, and to begin thinking about management options.

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Creating Your Base Map. (basic) soils. Most plant species of interest in forest farming perform best in the pH range frombut a few are “acidophiles” (acid loving) such as blueberries which prefer pH in the range of One of the most important issues related to conducting a non-timber forest inventory is the question of how.

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With big data analytic tools, we can and should do a more thorough analysis before generating standard reports. data, creating a geospatial database containing information on the size, shape, classification, and location of mapped wetlands and deepwater habitats. This database made it possible to generate statistics on the ex-tent of wetlands and deepwater habitats for geographic areas of varying dimensions, including entire states.

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We use WDFW heritage species data for fish and wildlife in the mine areas. 11/20/ AM 11/20/ AM Forest Protection Assesment Review Review current parcel data for accuracy in forest protection tax assessment, and submit updates as needed.

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Study proposes to describe patterns of abundance of wildlife in Douglas-fir forests and to identify species that depend upon late stages of forest development, to describe the ecology and status of the spotted owl, to determine the relation of forest stand size and distribution to patterns in owl abundance, and to develop a paradigm for use in.

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