Potential habitat distribution for the freshwater diatom Didymosphenia geminata in the continental US

By Sunil Kumar, S. Spaulding, Thomas J. Stohlgren, Karl A. Hermann, T. S. Schmidt, L. Bahls. 2009

204 citations recorded by the source corpus.

Subfields: Biomaterials, Ecological Modeling

View Paper: https://www.semanticscholar.org/paper/4fdfdbf165284ae1f467eac3d9b418d5201d5460

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomaterials

1. B. Brooks
2. S. Higgins
3. Hans W. Paerl
4. J. Wehr
5. B. Whitton
6. M. Unwin
7. C. Kilroy
8. P. Fink

In Ecological Modeling

1. Sunil Kumar
2. A. Reshetnikov
3. Thomas J. Stohlgren
4. W. Yee
5. A. Flory
6. P. Cryan
7. Lisa G. Neven
8. Gentile Francesco Ficetola

Citations in the corpus

• The arrival and spread of the bloom-forming, freshwater diatom, Didymosphenia geminata, in New Zealand. (2011, background): “However, all our observations on the habitat requirements of D. geminata indicate that a shaded, nearstagnant, sand–silt-lined ditch liable to dry out, as recorded by Mather (1928), is an unlikely habitat for this species (e.g., Kilroy et al. 2008; Kumar et al. 2009).”
• Harmful Algal Blooms (2015, background): “These are empirically derived models based on correlations with selected environmental factors (Kumar et al., 2009; Rost et al., 2011), hence their capacity to provide effective management tools is limited.”
• Environmental conditions associated with bat white‐nose syndrome mortality in the north‐eastern United States (2012, methodology): “Maxent ranked as the best-performing model algorithm in a recent comparison of 16 different modelling methods encompassing data on birds, terrestrial plants, bats and reptiles (Elith et al. 2006; Kumar et al. 2009).”
• Biology of the freshwater diatom Didymosphenia: a review (2009, background): “Kumar et al. (2009) provided a modelling study to predict the potential habitat distribution of D.”
• Evaluating correlative and mechanistic niche models for assessing the risk of pest establishment (2014, methodology): “Different v www.esajournals.org 13 July 2014 v Volume 5(7) v Article 86 niche modeling algorithms have different assumptions and limitations and may produce slightly different predictions (Elith et al. 2006, Kumar et al. 2009, Taylor and Kumar 2012).”
• Potential range of the invasive fish rotan (Perccottus glenii) in the Holarctic (2011, background): “Collecting extensive information on local water features is challenging and integrating microhabitat features into large-scale SDMs is complex (but see also Whittier et al. 2008; Kumar et al. 2009).”