Andrew C. Rehn's research while affiliated with California Department of Fish and Wildlife and other places
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Publications (15)
The Biological Condition Gradient (BCG) is a conceptual model that describes changes in aquatic communities under increasing levels of anthropogenic stress. The BCG helps decision-makers connect narrative water quality goals (e.g., maintenance of natural structure and function) to quantitative measures of ecological condition by linking index thres...
Conservation scientists have adapted conservation planning principles designed for protection of habitats ranging from terrestrial to freshwater ecosystems. We applied current approaches in conservation planning to prioritize California watersheds for management of biodiversity. For all watersheds, we compiled data on the pre-sence/absence of herpe...
Conservation scientists have adapted conservation planning principles designed for protection of habitats ranging from terrestrial to freshwater ecosystems. We applied current approaches in conservation planning to prioritize California watersheds for management of biodiversity. For all watersheds, we compiled data on the presence/absence of herpet...
Aquatic monitoring programs vary widely in objectives and design. However, each program faces the unifying challenge of assessing conditions and quantifying reasonable expectations for measured indicators. A common approach for setting resource expectations is to define reference conditions that represent areas of least human disturbance or most na...
Many advances in the field of bioassessment have focused on approaches for objectively selecting the pool of reference sites used to establish expectations for healthy waterbodies, but little emphasis has been placed on ways to evaluate the suitability of the reference-site pool for its intended applications (e.g., compliance assessment vs ambient...
Abstract: Regions with great natural environmental complexity present a challenge for attaining 2 key properties of an ideal bioassessment index: 1) index scores anchored to a benchmark of biological expectation that is appropriate for the range of natural environmental conditions at each assessment site, and 2) deviation from the reference benchma...
The ranges and abundances of species that depend on freshwater habitats are declining worldwide. Efforts to counteract those trends are often hampered by a lack of information about species distribution and conservation status and are often strongly biased toward a few well-studied groups. We identified the 3,906 vascular plants, macroinvertebrates...
We used boosted regression trees (BRT) to model stream biological condition as measured by benthic macroinvertebrate taxonomic completeness, the ratio of observed to expected (O/E) taxa. Models were developed with and without exclusion of rare taxa at a site. BRT models are robust, requiring few assumptions compared with traditional modeling techni...
As understanding of the complex relations among environmental stressors and biological responses improves, a logical next step is predictive modeling of biological condition at unsampled sites. We developed a boosted regression tree (BRT) model of biological condition, as measured by a benthic macroinvertebrate index of biotic integrity (BIBI), for...
Over 50 hydropower dams in California will undergo relicensing by the Federal Energy Regulatory Commission (FERC) in the next 15 years. An interpretive framework for biological data collected by relicensing studies is lacking. This study developed a multi-metric index of biotic integrity (IBI) to assess biological condition below hydropower diversi...
Bioassessment is the science of using aquatic organisms as indicators of
ecological condition in streams in rivers. Many types of organisms can be used as
indicators, for example fish or algae, but bioassessment is most frequently based on
benthic macroinvertebrates (BMIs), which are small but visible bottom-dwelling
organisms such as insects. BMI...
Recent comparisons of benthic macroinvertebrate (BMI) sampling protocols have shown that samples collected from different habitat types generally produce consistent stream classifications and assessments. However, these comparisons usually have not included biological endpoints used by monitoring agencies, such as multimetric indices (e.g., benthic...
We developed a benthic macro-invertebrate index of biological integrity (B-IBI) for the semi-arid and populous southern California coastal region. Potential reference sites were screened from a pool of 275 sites, first with quantitative GIS landscape analysis at several spatial scales and then with local condition assessments (in-stream and riparia...
Citations
... Taxonomies were standardized using a combination of AlgaeBase (algaebase.org) and Biodata species names (http:// aquatic.biodata.usgs.gov). Assigning unique algal taxa to functional categories involved the use of a variety of algae attribute lists (Bahls 1993;Van Dam et al. 1994;Potapova and Charles 2007;Porter et al. 2008;Spaulding et al. 2010;Fetscher et al. 2014;Paul et al. 2020). ...
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... As noted above, land-based protected areas often do not explicitly target freshwater biodiversity, and freshwater and terrestrial biodiversity hotspots do not always overlap (Nel et al. 2009;Abell et al. 2017). For instance, in California, areas with the highest freshwater biodiversity generally occur outside of existing protected areas (Howard et al. 2018). To accommodate the frequent lack of overlap between freshwater and terrestrial biodiversity, 30 × 30 plans must explicitly consider biodiversity targets across multiple taxa and ecosystem types. ...
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... The need for additional and standardized streamflow data to support water resources management has been suggested by many organizations [5,18], though the authors are unaware of evaluations of the number of non-centralized streamflow monitoring locations prior to this study. Metadata assembled in the Streamflow Data Catalog show an increase in the number of non-USGS streamflow monitoring locations within the PNW in the last twenty years (Figure 5a). ...
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... Mountains, CA (Mazor et al. 2016). ...
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... Elle est même parfois complétée par de l'expertise locale (riverains, gestionnaires de sites) (Guyon et Battaglia 2018). Les approches par critères quantifiés ne sont en effet pas exemptes de limites ayant des répercussions sur l'adéquation de la référence ainsi définie : (i) des couches SIG inadéquates ou inexactes ; (ii) des informations limitées ou imprécises sur les facteurs de stress à l'échelle de l'aire de répartition ; (iii) un effort d'échantillonnage inadéquat ou inégal (Ode et al. 2014). ...
... Biodiversity: Freshwater species diversity is a critical component of California's overall biodiversity, and freshwater systems are essential for meeting 30 × 30 biodiversity goals (Moyle 2002). Of California's 927 endemic freshwater species, 90% are vulnerable to extinction, and these species rely on habitat integrity such as flow regime and habitat complexity (Lytle and Poff 2004;Howard et al. 2015). ...
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... However, we note that the benchmark for lower disturbance or 'control' sites may shift considerably higher in more developed regions [e.g. 69,70]. In contrast, finding disturbed sites in more remote, northern regions may present a challenge particularly as many areas lack detailed disturbance mapping. ...
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... Benthic macroinvertebrates have a diverse array of pollution tolerances and ecological niches (Solek et al. 2011;Chang et al. 2014) used in the majority of biological assessments for streams (Rehn and Ode 2005). In Californian streams, biological assessments using BMIs are often quantified using the California Stream Condition Index (CSCI; Rehn et al. 2015). ...
... The variability criterion consisted in excluding metrics with low discriminatory power, considered those with at least 50% of equal values. Other authors have considered the limit of 75% (Whittier et al., 2007;Rehn et al., 2008), but we decided for a lower limit due to the small number of sampling sites. The concept of responsiveness in adaptation of MI refers to the response of the biological metrics to environmental variables. ...
... However, this is still not widely applied. In fact, expected non-linear responses between nutrients and ecological status [6], jointly with the common presence of multiple pressures in rivers, make it complex to model the risk of failing environmental objectives [74]. Recently, [75] tried to investigate such relationship in five river types in Europe, finding reliable relationships between nutrients concentration and biological communities in only two of them. ...
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