Journal article
Diatom-based TP and TN inference models and indices for monitoring nutrient enrichment of New Jersey streams
Ecological indicators, v 7(1)
2007
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
We evaluated the potential for using diatoms to assess and monitor nutrient enrichment in New Jersey streams and rivers, and propose inference models and indices for regulatory purposes. We assessed the relationship between benthic diatom and water chemistry samples (
n
=
101) collected from 45 sites in 3 ecoregions: Northern Piedmont, Northeastern Highlands and Ridge and Valley. Diatom assemblages were dominated by pollution-tolerant taxa. Multivariate analysis showed that nutrient concentrations explained significant proportions of the variation in diatom species composition. Weighted-averaging partial least square (WA-PLS) total phosphorus (TP) and total nitrogen (TN) inference models (
n
=
91) showed good predictive ability (TP model:
r
apparent
2
=
0.87
;
r
boot
2
=
0.72
; RMSE
boot
=
0.23
log
10
μg
L
−1 TP; TN model:
r
apparent
2
=
0.88
;
r
boot
2
=
0.58
; RMSE
boot
=
0.23
log
10
μg
L
−1 TN). Diatom TP and TN indices were created to simplify presentation of results for the general public by rescaling the inferred TP and TN values from 0 to 100. The obtained index scores were assigned to nutrient impairment categories for regulatory assessment purposes.
Metrics
Details
- Title
- Diatom-based TP and TN inference models and indices for monitoring nutrient enrichment of New Jersey streams
- Creators
- Karin C. Ponader - Drexel UniversityDonald F. Charles - Drexel UniversityThomas J. Belton - New Jersey Department of Environmental Protection
- Publication Details
- Ecological indicators, v 7(1)
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Web of Science ID
- WOS:000242632000006
- Scopus ID
- 2-s2.0-33750810911
- Other Identifier
- 991019357626904721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Biodiversity Conservation
- Environmental Sciences