Abstract
Grassland vegetation on the Montlake fill was analyzed using TWINSPAN. Eight herb communities were recognized. Moisture, proximity to gas vents, and disturbance are the main factors that control species and community distributions. Binary discriminant analysis (BDA) and detrended correspondence analysis (DCA) were used to study species-environment relationships. BDA revealed complex species response patterns and the resultant indicator values were used to interpret the ordination axes. Species distributions are controlled primarily by moisture, but also influenced by soil pH. Multiple regressions revealed little about plantenvironment relationships not discovered by BDA. Before robust nonlinear methods are available, BDA, metric ordination with data stratification and nonmetric ordination are methods that can yield satisfactory results in exploratory plant-environment studies. BDA alone is an efficient, useful first approach where response patterns of species are initially unknown.
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Claims 8
Claim · model-written summary
Moisture, proximity to gas vents and disturbance are the main factors controlling grassland species and community distributions.
- Taxon
- Grassland vegetatione0
- Treatment
- Moisture, proximity to gas vents, and disturbancee2
- Outcome
- species and community distributionse2
Not reportedDirection
Verbatim
e0“Grassland vegetation on the Montlake fill was analyzed using TWINSPAN”
e2“Moisture, proximity to gas vents, and disturbance are the main factors that control species and community distributions”
Claim · model-written summary
Grassland species distributions are controlled primarily by moisture.
Not reportedDirection
Verbatim
e0“Grassland vegetation on the Montlake fill was analyzed using TWINSPAN”
e3“Species distributions are controlled primarily by moisture, but also influenced by soil pH”
Claim · model-written summary
Grassland species distributions are also influenced by soil pH.
- Taxon
- Grassland vegetatione0
- Treatment
- soil pHe3
- Outcome
- Species distributionse3
- Qualifier
- also influencede3
Not reportedDirection
Verbatim
e0“Grassland vegetation on the Montlake fill was analyzed using TWINSPAN”
e3“Species distributions are controlled primarily by moisture, but also influenced by soil pH”
Claim · model-written summary
Eight herb communities were recognized in the grassland vegetation.
Verbatim
e0“Grassland vegetation on the Montlake fill was analyzed using TWINSPAN”
e1“Eight herb communities were recognized”
Claim · model-written summary
BDA revealed complex species response patterns.
Verbatim
e0“Grassland vegetation on the Montlake fill was analyzed using TWINSPAN”
e7“BDA revealed complex species response patterns”
Claim · model-written summary
Multiple regressions revealed little about plant-environment relationships beyond those found by BDA.
Verbatim
e0“Grassland vegetation on the Montlake fill was analyzed using TWINSPAN”
e4“Multiple regressions revealed little about plantenvironment relationships not discovered by BDA”
Claim · model-written summary
The authors recommend BDA alone as an efficient, useful first approach where species response patterns are initially unknown.
Verbatim
e0“Grassland vegetation on the Montlake fill was analyzed using TWINSPAN”
e5“BDA alone is an efficient, useful first approach where response patterns of species are initially unknown”
Claim · model-written summary
The authors state that BDA, metric ordination with data stratification and nonmetric ordination can yield satisfactory results in exploratory plant-environment studies.
Verbatim
e0“Grassland vegetation on the Montlake fill was analyzed using TWINSPAN”
e6“BDA, metric ordination with data stratification and nonmetric ordination are methods that can yield satisfactory results in exploratory plant-environment studies”