Crowd‐Sourced Databases as Essential Elements for Forest Service Partnerships and Aquatic Resource Conservation

Isaak, Daniel J.; Young, Michael K.; McConnell, Callie; Roper, Brett B.; Archer, Eric; Staab, Brian; Hirsch, Christine; Nagel, David E.; Schwartz, Michael K.; Chandler, Gwynne L.

doi:10.1002/fsh.10083

Cited by 15 publications

(14 citation statements)

References 35 publications

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“…Costs associated with numerous sensor deployments could be prohibitive, so aggregation of existing data sets from multiple natural resource agencies into a centralized database often becomes an attractive option. Moreover, if those central databases are made publicly accessible, professionals from the contributing agencies may begin to coordinate data collection activities more consistently and effectively across larger areas (e.g., Isaak et al, 2018b).…”

Section: Implications For Modeling and Monitoringmentioning

confidence: 99%

Principal components of thermal regimes in mountain river networks

Isaak

Luce

Chandler

et al. 2018

Hydrol. Earth Syst. Sci.

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Abstract. Description of thermal regimes in flowing waters is key to understanding physical processes, enhancing predictive abilities, and improving bioassessments. Spatially and temporally sparse data sets, especially in logistically challenging mountain environments, have limited studies on thermal regimes, but inexpensive sensors coupled with crowd-sourced data collection efforts provide efficient means of developing large data sets for robust analyses. Here, thermal regimes are assessed using annual monitoring records compiled from several natural resource agencies in the northwestern United States that spanned a 5-year period (2011–2015) at 226 sites across several contiguous montane river networks. Regimes were summarized with 28 metrics and principal component analysis (PCA) was used to determine those metrics which best explained thermal variation on a reduced set of orthogonal axes. Four principal components (PC) accounted for 93.4 % of the variation in the temperature metrics, with the first PC (49 % of variance) associated with metrics that represented magnitude and variability and the second PC (29 % of variance) associated with metrics representing the length and intensity of the winter season. Another variant of PCA, T-mode analysis, was applied to daily temperature values and revealed two distinct phases of spatial variability – a homogeneous phase during winter when daily temperatures at all sites were <3 ∘C and a heterogeneous phase throughout the year's remainder when variation among sites was more pronounced. Phase transitions occurred in March and November, and coincided with the abatement and onset of subzero air temperatures across the study area. S-mode PCA was conducted on the same matrix of daily temperature values after transposition and indicated that two PCs accounted for 98 % of the temporal variation among sites. The first S-mode PC was responsible for 96.7 % of that variance and correlated with air temperature variation (r=0.92), whereas the second PC accounted for 1.3 % of residual variance and was correlated with discharge (r=0.84). Thermal regimes in these mountain river networks were relatively simple and responded coherently to external forcing factors, so sparse monitoring arrays and small sets of summary metrics may be adequate for their description. PCA provided a computationally efficient means of extracting key information elements from the temperature data set used here and could be applied broadly to facilitate comparisons among more diverse stream types and develop classification schemes for thermal regimes.

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Section: Implications For Modeling and Monitoringmentioning

confidence: 99%

Principal components of thermal regimes in mountain river networks

Isaak

Luce

Chandler

et al. 2018

Hydrol. Earth Syst. Sci.

Self Cite

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“…However, by reducing the size of the β ( s , t ) surface with the HFLM1 and the HFLM2, we improved substantially the results of functional models with such a low number of functional observations. If such stream temperature data become more available in the future, and they are expected to be given the increased interest for the thermal regime of rivers (e.g., the NorWeST project in western U.S., Isaak et al ; Isaak, Young, et al , and the RivTemp project in eastern Canada, Boyer et al ), the functional regression models have the potential to become a very useful tool in stream temperature modeling.…”

Section: Discussionmentioning

confidence: 99%

Stream Temperature Modeling Using Functional Regression Models

Boudreault

Bergeron

St‐Hilaire

et al. 2019

J American Water Resour Assoc

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Stream temperature is one of the most important environmental variables in lotic habitats as it has important and direct impacts on the ecosystem. Given the continuous nature of this variable, the aim of this paper was to introduce functional regression for the air‐stream temperature relation, being capable to model an entire seasonal or annual curve of temperatures as one entity, rather than multiple daily or weekly values in classical models. Three types of functional models were explored in the study and compared to two classical models (Generalized Additive Model and Logistic Model) for six rivers from the United States The results show the functional models have the best performance for all the considered rivers. When comparing functional models between them, one variant of the historical functional model performs better than the two other models and is the most parsimonious. Functional regression leads to encouraging results to model the complete annual stream temperature curve as one entity compared to other classical approaches.

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“…In recent years, USFS scientists have created user‐friendly tools to organize, analyze, and share information about fish habitat and associated watershed characteristics to improve the cost effectiveness of investments in aquatic stewardship (Isaak et al. , this issue).…”

Section: Importance Of the Us Forest Service In Conserving The Natimentioning

confidence: 99%

“…The USFS has made significant contributions to aquatic ecology and related research in support of adaptive management through its participation in more than 3,000 scientific publications (Isaak et al. , this issue). Investments in science and technology during the 1990s and early 2000s continue to provide a strong foundation for effective stewardship of fish and aquatic resources.…”

Section: Retrospective Look: the Rise To The Future Fisheries Strategmentioning

confidence: 99%

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Historical Perspectives and a New U.S. Forest Service Strategy for Fish and Aquatic Stewardship

et al. 2018

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The U.S. Forest Service has a long, rich history of helping to steward the nation's fish and aquatic resources and contributing to the broader fish and aquatic conservation and scientific community in the United States and worldwide. The agency recently updated its national strategy for fish and aquatic resource stewardship. The new strategy builds on 30 years of lessons learned through implementing the agency's original Rise to the Future: National Fish and Aquatic Strategy, the first national freshwater fisheries strategy by a federal agency. It also addresses 21st century challenges, establishing a stronger foundation for integrated aquatic resource stewardship throughout the agency and renewing an emphasis on cooperation with local, state, federal, and tribal governments and partnering with nongovernmental organizations, private landowners and water users, private businesses, the sportfishing industry, and others. The new strategy outlines six goals that provide a robust framework to guide future efforts: (1) conserve fish and aquatic resources; (2) connect people to the outdoors through fishing, boating, and other aquatic activities; (3) strengthen partnerships and work across boundaries; (4) deliver and apply scientific research; (5) build capacity through mentoring and training; and (6) communicate the value of fish and aquatic resources.

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Crowd‐Sourced Databases as Essential Elements for Forest Service Partnerships and Aquatic Resource Conservation

Cited by 15 publications

References 35 publications

Principal components of thermal regimes in mountain river networks

Principal components of thermal regimes in mountain river networks

Stream Temperature Modeling Using Functional Regression Models

Historical Perspectives and a New U.S. Forest Service Strategy for Fish and Aquatic Stewardship

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