How to assess species richness along single environmental gradients? Implications of potential versus realized species distributions

• Published in: Environmental pollution (1987) Vol. 200; pp. 120 - 125
• Main Authors: van Goethem, Thomas M.W.J., Huijbregts, Mark A.J., Wamelink, G.W. Wieger, Schipper, Aafke M.
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 01.05.2015
• Subjects: abundance; Acidification; assemblages; Biodiversity; consequences; Derivation; diversity; Environment; Environmental Monitoring - methods; Environmental quality; Environmental quality standards (EQS); Estimates; field data; Grasslands; macroinvertebrates; plant; Plants - classification; Pollution abatement; sensitivity distributions; Soil; Species sensitivity distributions (SSDs); Stressor–response relationships; Survey data; pH; Species sensitivity distributions (SSDs); Survey data; Stressor–response relationships; Environmental quality standards (EQS)
• ISSN: 0269-7491; 1873-6424
• DOI: 10.1016/j.envpol.2015.02.017

Quantifying relationships between species richness and single environmental factors is challenging as species richness typically depends on multiple environmental factors. Recently, various methods have been proposed to tackle this challenge. Using a dataset comprising field observations of grassland vegetation and measured pH values, we compared three methods for deriving species richness response curves. One of the methods estimates species richness close to the maximum species richness observed at the sites, whereas the other two provide estimates of the potential species richness along the environmental gradient. Our response curves suggest that potential species richness of grasslands is slightly more sensitive to acidification than realized plant species richness. However, differences in corresponding environmental quality standards (EQS) for acidification were small compared to intrinsic spatial differences in natural soil pH, indicating that natural background values are more important to consider in the derivation of EQS for pH than methodological differences between the three approaches. •We compared three methods to derive species richness response curves from field data.•The methods quantified species richness of grasslands in relation to soil pH.•Potential species richness appeared most sensitive to acidification.•Differences in corresponding environmental quality standards for were small.•Background pH is more important in deriving the standards than the choice in method. We compared three methods to derive field-based species sensitivity distributions (f-SSDs) from presence-absence data.