Literature DB >> 21713500

Inventory methods for trees in nonforest areas in the Great Plains States.

Andrew J Lister1, Charles T Scott, Steven Rasmussen.   

Abstract

The US Forest Service's Forest Inventory and Analysis (FIA) program collects information on trees in areas that meet its definition of forest. However, the inventory excludes trees in areas that do not meet this definition, such as those found in urban areas, in isolated patches, in areas with sparse or predominantly herbaceous vegetation, in narrow strips (e.g., shelterbelts), or in riparian areas. In the Great Plains States, little is known about the tree resource in these noninventoried, nonforest areas, and there is a great deal of concern about the potential impact of invasive pests, such as the emerald ash borer. To address this knowledge gap, FIA's National Inventory and Monitoring Applications Center has partnered with state cooperators and others in a project called the Great Plains Initiative to design and implement an inventory of trees in nonforest areas. The goal of the inventory is to characterize the nonforest tree resource using methods compatible with those of FIA so a holistic understanding of the resource can be obtained by integrating the two surveys. The goal of this paper is to describe the process of designing and implementing the survey, including plot and sample design, and to present some example results from a reporting tool we developed.

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Year:  2011        PMID: 21713500     DOI: 10.1007/s10661-011-2131-6

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  1 in total

1.  Use of space-filling curves to select sample locations in natural resource monitoring studies.

Authors:  Andrew J Lister; Charles T Scott
Journal:  Environ Monit Assess       Date:  2008-02-12       Impact factor: 2.513

  1 in total
  3 in total

Review 1.  Monitoring trees outside forests: a review.

Authors:  Sebastian Schnell; Christoph Kleinn; Göran Ståhl
Journal:  Environ Monit Assess       Date:  2015-08-29       Impact factor: 2.513

2.  Integrating LIDAR and forest inventories to fill the trees outside forests data gap.

Authors:  Kristofer D Johnson; Richard Birdsey; Jason Cole; Anu Swatantran; Jarlath O'Neil-Dunne; Ralph Dubayah; Andrew Lister
Journal:  Environ Monit Assess       Date:  2015-09-12       Impact factor: 2.513

3.  Integrating forest inventory and analysis data into a LIDAR-based carbon monitoring system.

Authors:  Kristofer D Johnson; Richard Birdsey; Andrew O Finley; Anu Swantaran; Ralph Dubayah; Craig Wayson; Rachel Riemann
Journal:  Carbon Balance Manag       Date:  2014-05-08
  3 in total

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