Daily stream temperature predictions for free-flowing streams in the Pacific Northwest, USA DOI Creative Commons
Jared E. Siegel, Aimee H. Fullerton, Alyssa M. FitzGerald

et al.

EarthArXiv (California Digital Library), Journal Year: 2023, Volume and Issue: unknown

Published: April 5, 2023

Supporting sustainable lotic ecosystems and thermal habitats for cold-water species like salmonids requires estimates of stream temperature that are high in scope resolution across space time. We combined enhanced elements existing models to produce a new statistical model address this need. This reflects mechanistic processes using publicly available climate landscape covariates Generalized Additive Model (GAM) framework. allowed interact while accounting nonlinear relationships between temporal spatial better capture seasonal patterns. Additionally, represent variation sensitivity climate, we used moving average antecedent air temperatures over variable duration linked area-standardized streamflow. The window size was longer reaches classified as having snow-dominated hydrology, especially at higher flows, whereas relatively constant low rain-dominated hydrology. Our model’s ability the temporally impact snowmelt on helped improve its capacity predict diverse geography multiple years. fit data from 1993-2013 daily ~222,000 free-flowing Pacific Northwest 1990-2017. well (RMSE = 1.76; MAE 1.32 °C). Spatial cross-validation suggested produced useful predictions unsampled locations landscapes conditions. will be immediately natural resource practitioners Northwest, USA, effective conservation planning managing such salmon. approach is straightforward can easily adapted regions, time periods, or scenarios anticipated changing patterns with change.

Language: Английский

Dam removal enables diverse juvenile life histories to emerge in threatened salmonids repopulating a heterogeneous landscape DOI Creative Commons
Stuart H. Munsch,

Mike McHenry,

Martin Liermann

et al.

Frontiers in Ecology and Evolution, Journal Year: 2023, Volume and Issue: 11

Published: June 2, 2023

Human stressors block, eliminate, and simplify habitat mosaics, eroding landscapes’ life history diversity thus biological resilience. One goal of restoration is to alleviate human that suppress diversity, but responses these efforts are still coming into focus. Here, we report emerging in threatened salmonids ( Oncorhynchus spp.) repopulating the recently undammed Elwha River (WA, United States) adjacent environmentally distinct tributaries. The ~20 km tributaries entered <1 apart, one had a colder stream temperature regime swifter waters due its high, snow-dominated elevation steep valley gradient (~3%), while other warmer slower because it drained lake, was at lower elevation, (~1.5%). Following 2012 removal Dam, tributaries’ generally became more abundant expressed diverse histories within among species. warmer, low-gradient tributary produced age-1+ coho salmon colder, steeper notably high abundance steelhead smolts 2020. Additionally, exiting were older possibly larger for their age class, emigrated ~25 days earlier, included age-0 Chinook larger. Also, assemblage composition varied years, with most species shifting between salmon, abundances increased patchy. These patterns consistent newly accessible, heterogeneous landscape generating against backdrop patchy recruitment as salmonids—some considerable hatchery-origin ancestry—repopulate an extirpated landscape. Overall, dam appears have promoted which may bolster resilience during era rapid environmental change portend positive outcomes upcoming removals similar goals.

Language: Английский

Citations

8
Daily stream temperature predictions for free-flowing streams in the Pacific Northwest, USA DOI Creative Commons
Jared E. Siegel, Aimee H. Fullerton, Alyssa M. FitzGerald

et al.

PLOS Water, Journal Year: 2023, Volume and Issue: 2(8), P. e0000119 - e0000119

Published: Aug. 30, 2023

Supporting sustainable lotic ecosystems and thermal habitats requires estimates of stream temperature that are high in scope resolution across space time. We combined enhanced elements existing models to produce a new statistical model address this need. Contrasting with previous estimated coarser metrics such as monthly or seasonal focused on individual watersheds, we modeled daily the entire calendar year for broad geographic region. This reflects mechanistic processes using publicly available climate landscape covariates Generalized Additive Model framework. allowed interact while accounting nonlinear relationships between temporal spatial better capture patterns. To represent variation sensitivity climate, used moving average antecedent air temperatures over variable duration linked area-standardized streamflow. The window size was longer reaches having snow-dominated hydrology, especially at higher flows, whereas relatively constant low rain-dominated hydrology. Our model’s ability temporally-variable impact snowmelt improved its capacity predict diverse geography multiple years. fit from 1993–2013 predicted ~261,200 free-flowing Pacific Northwest USA 1990–2021. well (RMSE = 1.76; MAE 1.32°C). Cross-validation suggested produced useful predictions unsampled locations landscapes conditions. These will be natural resource practitioners effective conservation planning managing species salmon. approach is straightforward can adapted regions, time periods, scenarios anticipated decline change.

Language: Английский

Citations

6
Predicting response of migratory fish populations to dam removal DOI
Daniel B. Hayes,

Gail Fricano,

James Turek

et al.

Aquatic Ecosystem Health & Management, Journal Year: 2023, Volume and Issue: 26(1), P. 79 - 88

Published: Jan. 1, 2023

Abstract Dam removal is a potential habitat restoration alternative through which parties responsible for injuries to natural resources can provide compensation reductions in fish populations. Predicting the response of migratory populations candidate dam removal(s) critical step resource damage assessment process evaluate whether proposed action provides adequate compensation. There currently no standard approach making such predictions, particularly cases where data on streams with dams are limited. We considered six modeling approaches addressing this problem and evaluated features each application. judged that an based suitability indices weighted usable area best balance between predictive capacity cost model implementation. This balancing act evaluating effectiveness models worth consideration wide range fisheries applications.

Language: Английский

Citations

2
Physical and biological constraints on the capacity for life-history expression of anadromous salmonids: an Eel River, California, case study DOI Creative Commons
Alyssa M. FitzGerald, David A. Boughton,

Joshua A. Fuller

et al.

Canadian Journal of Fisheries and Aquatic Sciences, Journal Year: 2021, Volume and Issue: 79(7), P. 1023 - 1041

Published: Dec. 4, 2021

Recovery of anadromous salmonid populations is complicated by their complex life histories. We examined the spatiotemporal interplay stream temperature, geomorphic features, and a species’ thermal sensitivity mediated biological interactions in case study steelhead trout (Oncorhynchus mykiss) Chinook salmon tshawytscha) California’s Eel River watershed. estimated habitat suitability fish capacity for each run freshwater stage during average, cool, warm years watershed’s subbasins, including historically occupied high-elevation subbasin upstream an impassable dam. Our estimates varied depending on whether we accounted exposure to Sacramento pikeminnow (Ptychocheilus grandis), introduced predator competitor. results indicate that dammed has substantial relative rest watershed could provide important cool-water refuge from pikeminnow, potentially improving productivity resilience multiple populations. approach can be applied any setting where spatially explicit metrics population-specific life-stage-specific criteria specified.

Language: Английский

Citations

5
Integrating Depth Measurements From Gaging Stations With Image Archives for Spectrally Based Remote Sensing of River Bathymetry DOI Creative Commons
Carl J. Legleiter, B. T. Overstreet, Paul J. Kinzel

et al.

Water Resources Research, Journal Year: 2024, Volume and Issue: 60(7)

Published: July 1, 2024

Abstract Remote sensing can be an effective tool for mapping river bathymetry, but the need direct measurements to calibrate image‐derived depth estimates impedes broader application of this approach. One way circumvent field campaigns dedicated calibration is capitalize upon existing data. In study, we introduce a framework Bathymetric Mapping using Gage Records and Image Databases (BaMGRID). This workflow involves retrieving made during gaging station site visits, downloading archived multispectral images, then combining these two data sets establish relationship between reflectance. We developed processing chain that programming interfaces obtain both visits images centered on gage linking reflectance via optimal band ratio analysis (OBRA) algorithm modified small sample sizes. Applying selected gages within basins indicated retrieval from satellite could highly accurate, with variable results one image next at given site. High resolution aerial photography was less conducive bathymetric in basin considered. Of four predictors performance evaluated (mean standard deviation depth, width, index water clarity), only width consistently significantly correlated OBRA R 2 ( p < 0.026). Currently, BaMGRID best‐suited site‐by‐site support practical applications reach scale; continuous, basin‐wide bathymetry will require additional research.

Language: Английский

Citations

0
Daily stream temperature predictions for free-flowing streams in the Pacific Northwest, USA DOI Creative Commons
Jared E. Siegel, Aimee H. Fullerton, Alyssa M. FitzGerald

et al.

EarthArXiv (California Digital Library), Journal Year: 2023, Volume and Issue: unknown

Published: April 5, 2023

Supporting sustainable lotic ecosystems and thermal habitats for cold-water species like salmonids requires estimates of stream temperature that are high in scope resolution across space time. We combined enhanced elements existing models to produce a new statistical model address this need. This reflects mechanistic processes using publicly available climate landscape covariates Generalized Additive Model (GAM) framework. allowed interact while accounting nonlinear relationships between temporal spatial better capture seasonal patterns. Additionally, represent variation sensitivity climate, we used moving average antecedent air temperatures over variable duration linked area-standardized streamflow. The window size was longer reaches classified as having snow-dominated hydrology, especially at higher flows, whereas relatively constant low rain-dominated hydrology. Our model’s ability the temporally impact snowmelt on helped improve its capacity predict diverse geography multiple years. fit data from 1993-2013 daily ~222,000 free-flowing Pacific Northwest 1990-2017. well (RMSE = 1.76; MAE 1.32 °C). Spatial cross-validation suggested produced useful predictions unsampled locations landscapes conditions. will be immediately natural resource practitioners Northwest, USA, effective conservation planning managing such salmon. approach is straightforward can easily adapted regions, time periods, or scenarios anticipated changing patterns with change.

Language: Английский

Citations

0