Results of random forest (RF) regression models examining the response of freshwater mussel log(x+1) species’ abundances to hydraulic conditions at simulated flows.

Results of random forest (RF) regression models examining the response of freshwater mussel log(x+1) species’ abundances to hydraulic conditions at simulated flows.

Volltext
Verfasser: Kiara C. Cushway
Aubrey E. Harris
Candice D. Piercy
Zachary A. Mitchell
Astrid N. Schwalb
Dokumenttyp: Dataset
Erscheinungsdatum: 2024
Schlagwörter: Evolutionary Biology / Ecology / Marine Biology / Environmental Sciences not elsewhere classified / Biological Sciences not elsewhere classified / xlink \ / > understanding / two dimensional hec / san saba river / lower shear stress / collected every 100m / 67 &# 8211 / 60 &# 8211 / 10 &# 8211 / understanding hydraulic conditions / simulate hydraulic conditions / hydraulic conditions occurring / freshwater mussel assemblages / different flow conditions / pools may serve / species often observed / scale flow refuges / low flow conditions / well site occupancy / increased mussel richness / 20 km segment / species abundance could / low flow events / diversity hotspots occurred / distribution </ p / high flows may / site scale / occupancy could / low flows / habitat conditions / freshwater systems / species abundances / flows approx / extreme flows / baseline flows / stream power / stream organisms / results showed / results indicate / relatively unique / ras model / occupy micro / long ) / less successful / increasing due / important refuge
Sprache: unknown
Permalink: https://search.fid-benelux.de/Record/base-29243890
Datenquelle: BASE; Originalkatalog
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Link(s) : https://doi.org/10.1371/journal.pone.0296861.t006