2012
DOI: 10.1017/cbo9781139048217
|View full text |Cite
|
Sign up to set email alerts
|

North American Freshwater Mussels

Abstract: This well-illustrated book highlights freshwater mussels' fabulous diversity, amazing array of often bizarre ecological adaptations and their dire conservation plight. Summarizing and synthesizing historical and contemporary information as well as original research and analysis, the book describes the diverse array of mussel life history strategies and builds a cohesive narrative culminating in the development of explicit frameworks to explain pervasive patterns in mussel ecology. The fascinating and colorful … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

9
250
1

Year Published

2014
2014
2024
2024

Publication Types

Select...
10

Relationship

0
10

Authors

Journals

citations
Cited by 475 publications
(260 citation statements)
references
References 0 publications
9
250
1
Order By: Relevance
“…Linear interpolation between discrete samples was used where 30-min measurements were unavailable (org N, NO, and total N), and ranges for unmeasured model variables (e.g., nitrification rate, denitrification rate) were obtained from the literature (Table 1). The model, created in Stella (version 8.0, ISEE Systems, Inc., Lebanon, New Hampshire), was initially calibrated using the no-mussel control data, then refined using data from mesocosms containing mussels to properly parameterize clearance and excretion rates (Bayne, Hawkins & Navarro, 1987; Englund & Heino, 1994; Haag, 2012). The optimized values used in the model calibration are given in Table 1.…”
Section: Methodsmentioning
confidence: 99%
“…Linear interpolation between discrete samples was used where 30-min measurements were unavailable (org N, NO, and total N), and ranges for unmeasured model variables (e.g., nitrification rate, denitrification rate) were obtained from the literature (Table 1). The model, created in Stella (version 8.0, ISEE Systems, Inc., Lebanon, New Hampshire), was initially calibrated using the no-mussel control data, then refined using data from mesocosms containing mussels to properly parameterize clearance and excretion rates (Bayne, Hawkins & Navarro, 1987; Englund & Heino, 1994; Haag, 2012). The optimized values used in the model calibration are given in Table 1.…”
Section: Methodsmentioning
confidence: 99%
“…Due to their ecological and economic importance, interesting biological traits (e.g., a parasitic life with the reproductive dependence on a host fish and a particular form of mitochondrial inheritance called double uniparental inheritance; Barnhart et al, 2008;Breton et al, 2007;Hoeh et al, 1996Hoeh et al, , 2002a, scientific research on Unionida has grown in recent years (Haag, 2012;Lopes-Lima et al, 2014). However, taxon-based conservation efforts focused on the Unionidae are hindered by various phylogenetic and taxonomic uncertainties (e.g., Inoue et al, 2014;, and many species, especially those outside of North America and Western Europe, have been assigned a Data Deficient status by the IUCN (Bogan and Roe, 2008;IUCN, 2015;Kohler et al, 2012).…”
Section: Introductionmentioning
confidence: 99%
“…Freshwater mussels (Unionoida-hereafter "mussels") can serve as a model system to study ecological baselines as reference conditions, in part because they are among the most threatened freshwater fauna in North America (Haag, 2012;Strayer et al, 2004). There are several suggested causes for these declines, including habitat loss and destruction (Williams, Warren, Cummings, Harris, & Neves, 1993), dams (Haag, 2012;Layzer, Gordon, & Anderson, 1993;Vaughn & Taylor, 1999), invasive species (Baker & Hornbach, 2008;Sousa, Novais, Costa, & Strayer, 2014) and land-use change (Arbuckle & Downing, 2002;Atkinson, Julian, & Vaughn, 2014;Cao, Huang, & Cummings, 2013;Cao et al, 2015;Poole & Downing, 2004). However, few studies have determined specific causes of declines, and thus, long-term impacts are often identified as responsible for decreases in population density and assemblage diversity (Downing, Van Meter, & Woolnough, 2010;Strayer et al, 2004).…”
mentioning
confidence: 99%