Abstract
The objectives of this study were to develop a multivariate statistical model related to plant succession for boxelder ecological type (Acer negundo-Celtis occidentalis-Symphoricarpos occidentalis) to classify plant seral stages for monitoring resource changes based on management or environmental stresses in northwestern Nebraska. The developed boxelder classification and monitoring system was based on plant succession. Multivariate analyses and methods were used to determine key plant variables that best predict seral stages. Key plant variables were boxelder basal area, hackberry basal area, and percent canopy cover of snowberry. Four seral stages were quantitatively defined with a 96% accuracy of seral classification. These seral stages give resource managers four options to evaluate management alternatives and objectives. However, all stages must be present to maintain plant and animal diversity. In addition, plant and animal species diversity, livestock grazing and relationships to seral stages can be related to each of the four seral stages. This tool provides a simple, reliable, repeatable, accurate, and cost effective (time saving) alternative for classification of sites and for monitoring changes between and within seral states.
Abstract from the paper’s OpenAlex record, shown for indexing and research. Copyright remains with the authors or the publisher. Read at the source ↗
The text the model read, with the source record’s inline markup (italics, sub- and superscripts) rendered and its character entities decoded; quote offsets refer to the raw text.
Claims 5
Claim · model-written summary
Boxelder basal area, hackberry basal area and snowberry canopy cover were key predictors of seral stage.
- Taxon
- boxelder
Acer negundoe0 - Outcome
- Key plant variablese0
- Qualifier
- boxelder basal area, hackberry basal area, and percent canopy cover of snowberrye0
Not reportedOrgan / stageSettingDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Key plant variables were boxelder basal area, hackberry basal area, and percent canopy cover of snowberry”
Claim · model-written summary
Four seral stages were defined with 96% classification accuracy.
- Taxon
- boxelderAcer negundot0
- Outcome
- accuracy of seral classificatione0
- Value
- 96%e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Four seral stages were quantitatively defined with a 96% accuracy of seral classification”
t0“BOXELDER”
Claim · model-written summary
All seral stages are needed to maintain plant and animal diversity.
- Taxon
- boxelderAcer negundot0
- Outcome
- all stages must be present to maintain plant and animal diversitye0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“all stages must be present to maintain plant and animal diversity”
t0“BOXELDER”
Claim · model-written summary
Plant and animal species diversity and livestock grazing can be related to the four seral stages.
- Taxon
- boxelderAcer negundot0
- Outcome
- plant and animal species diversity, livestock grazinge0
- Qualifier
- each of the four seral stagese0
- Comparator
- seral stagese0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“plant and animal species diversity, livestock grazing and relationships to seral stages can be related to each of the four seral stages”
t0“BOXELDER”
Claim · model-written summary
The classification tool is described as simple, reliable, repeatable, accurate and cost effective.
- Taxon
- boxelderAcer negundot0
- Outcome
- simple, reliable, repeatable, accurate, and cost effective (time saving) alternative for classification of sites and for monitoring changese0
- Comparator
- alternativee0
Not reportedValue
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“This tool provides a simple, reliable, repeatable, accurate, and cost effective (time saving) alternative for classification of sites and for monitoring changes between and within seral states”
t0“BOXELDER”