Constructing multimetric indices and testing ability of landscape metrics to assess condition of freshwater wetlands in the Northeastern US
• We built multimetric indices (MMIs) of wetland condition for vegetation, soil, water and algae. • We used data from the Environmental Protection Agency's National Wetland Condition Assessment. • Vegetation and soil were the best performing MMIs, and included many commonly cited indicators. •...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Miller, Kathryn M. [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2016 |
|---|
| Schlagwörter: |
National Park Service Inventory and Monitoring Program |
|---|
| Umfang: |
10 |
|---|
| Übergeordnetes Werk: |
Enthalten in: The capacity for acute exercise to modulate emotional memories: A review of findings and mechanisms - Keyan, Dharani ELSEVIER, 2019, integrating monitoring, assessment and management, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:66 ; year:2016 ; pages:143-152 ; extent:10 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.ecolind.2016.01.017 |
|---|
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ELV013747797 |
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| 520 | |a • We built multimetric indices (MMIs) of wetland condition for vegetation, soil, water and algae. • We used data from the Environmental Protection Agency's National Wetland Condition Assessment. • Vegetation and soil were the best performing MMIs, and included many commonly cited indicators. • Adjacent land use and vegetation were strong predictors of soil, water, and algae MMIs. • The wetland MMIs we constructed are applicable to a range of wetland types covering 11 eastern US states. | ||
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| 650 | 7 | |a Wetland ecological integrity |2 Elsevier | |
| 650 | 7 | |a Freshwater wetland condition |2 Elsevier | |
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Constructing multimetric indices and testing ability of landscape metrics to assess condition of freshwater wetlands in the Northeastern US |
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• We built multimetric indices (MMIs) of wetland condition for vegetation, soil, water and algae. • We used data from the Environmental Protection Agency's National Wetland Condition Assessment. • Vegetation and soil were the best performing MMIs, and included many commonly cited indicators. • Adjacent land use and vegetation were strong predictors of soil, water, and algae MMIs. • The wetland MMIs we constructed are applicable to a range of wetland types covering 11 eastern US states. |
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• We built multimetric indices (MMIs) of wetland condition for vegetation, soil, water and algae. • We used data from the Environmental Protection Agency's National Wetland Condition Assessment. • Vegetation and soil were the best performing MMIs, and included many commonly cited indicators. • Adjacent land use and vegetation were strong predictors of soil, water, and algae MMIs. • The wetland MMIs we constructed are applicable to a range of wetland types covering 11 eastern US states. |
| abstract_unstemmed |
• We built multimetric indices (MMIs) of wetland condition for vegetation, soil, water and algae. • We used data from the Environmental Protection Agency's National Wetland Condition Assessment. • Vegetation and soil were the best performing MMIs, and included many commonly cited indicators. • Adjacent land use and vegetation were strong predictors of soil, water, and algae MMIs. • The wetland MMIs we constructed are applicable to a range of wetland types covering 11 eastern US states. |
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Constructing multimetric indices and testing ability of landscape metrics to assess condition of freshwater wetlands in the Northeastern US |
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https://doi.org/10.1016/j.ecolind.2016.01.017 |
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Mitchell, Brian R. McGill, Brian J. |
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10.1016/j.ecolind.2016.01.017 |
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