Influences of Availability on Parameter Estimates From Site Occupancy Models With Application to Submersed Aquatic Vegetation

Gray, Brian R.; Holland, Mark D.; Feng, Yi; Starcevich, Leigh Ann

doi:10.1111/nrm.12012

Cited by 10 publications

(7 citation statements)

References 33 publications

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“…Many types of ecological data are measured with error. For example, presence-absence data may contain false-negatives (Tyre et al 2003;Martin et al 2005;Gray et al 2013).…”

Section: Discussionmentioning

confidence: 99%

Model selection for ecological community data using tree shrinkage priors

Hefley¹

2020

Preprint

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Data accessibility statement: The aquatic vegetation and fisheries data are publicly available from U.S. Geological Survey ( 2019), but the specific subsets used in this study will be archived in the Dryad Digital Repository. For the purpose of peer review, the data have been submitted as supporting material as a compressed file named Data.zip.Reproducibility statement: Annotated computer code capable of reproducing all results and figures associated with the aquatic vegetation and fisheries data examples are provided in Appendix S1 and S2.

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“…Many types of ecological data are measured with error. For example, presence-absence data may contain false-negatives (Tyre et al 2003;Martin et al 2005;Gray et al 2013).…”

Section: Discussionmentioning

confidence: 99%

Model selection for ecological community data using tree shrinkage priors

Hefley¹

2020

Preprint

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“…Next, we used six subplots around the boat and visually assessed the presence of filamentous algae, emergent, free‐floating, and rooted floating‐leaved species and raked for the presence of submersed species at each subplot. The plant rake had moderately high detection probability of submersed plants (Gray et al, 2013).…”

Section: Methodsmentioning

confidence: 99%

Aquatic vegetation types identified during early and late phases of vegetation recovery in the Upper Mississippi River

2023

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Assemblage patterns and processes of aquatic vegetation in most large floodplain rivers are not well understood, particularly after plant recovery. Identifying vegetation types, which are recurring plant groupings based on species composition, diversity, and abundances, can describe plant assembly patterns and environmental drivers that aid conservation planning and management. We used a 22‐year dataset (n = 18,000 sampling plots) to identify aquatic vegetation types during an “early phase” and “late phase” of plant recovery at multiple spatial scales nested within a 500‐km river reach of the Upper Mississippi River, USA. We hypothesized that vegetation types varied according to scale because of the stark environmental differences among riverine habitats and differing regional species pools along the river's latitudinal gradient, and that the late phase of recovery had developed several new vegetation types. We first used cluster analyses at multiple spatiotemporal scales to identify the number of vegetation types and their characteristics, such as indicator species, species compositions and abundances, and diversity index. Then we applied a multivariate regression to pinpoint environmental factors (such as hydrodynamics, system productivity, local habitat, and water quality) that structured those vegetation types. Clustering revealed that ~90% of plots irrespective of recovery phase were not classified into vegetation types, which indicated that most aquatic sampling plots are unique in species composition and unpredictable. However, impounded areas upriver from dams had matured five vegetation types: lotus (Nelumbo lutea Willd.), submersed (a mix of 11 common submersed species), watercelery (Vallisneria americana Michx.), arrowheads (Sagittaria rigida Pursh and Sagittaria latifolia Willd.), and a diverse community (with high diversity indices and multiple life forms). The vegetation types were associated with three environmental gradients related to inundation depth and duration, system productivity, and water clarity. These five vegetation types are known to be of high ecological value to fish and wildlife and thus targets for restoration, for example, the watercelery community is principal forage for migrating canvasback ducks (Aythya valisineria) along the Mississippi River flyway. Our results provide insights on vegetation assembly during recovery and aid habitat conservation by providing quantitative, environmental targets for restoration.

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“…Three aquatic vegetation life forms were included in prevalence calculations: submersed, emergent, and rooted floating leaf. Detection errors may lead to underestimation of %FO and richness for submersed species (Gray, Holland, Yi, & Starcevich, ). Species lists by reach and life form are provided in Appendix .…”

Section: Quantitative Methodsmentioning

confidence: 99%