The botanist effect: counties with maximal species richness tend to be home to universities and botanists

By D. Moerman, George F. Estabrook. 2006

156 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/c7ab17e25e9f9cf9da4a0f750796f12bde38023d

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In Ecological Modeling

In Ecology, Evolution, Behavior and Systematics

In Nature and Landscape Conservation

Citations in the corpus

Distorted Views of Biodiversity: Spatial and Temporal Bias in Species Occurrence Data (2010, background): “Geographic bias may also be a result of variation in human population density and scientific capacity [17,18].”
Taxonomist survey biases and the unveiling of biodiversity patterns (2009, background): “…from the place of residence of the collecting taxonomist, and degree of interest of taxonomists are all key parameters leading to the observed concentration in species presence (Nelson et al., 1990; Peterson et al., 1998; Dennis and Thomas, 2000; Parnell et al., 2003; Reddy and Dávalos, 2003).”
Distributional migrations, expansions, and contractions of tropical plant species as revealed in dated herbarium records (2012, background): “Herbarium specimens are generally not collected at random or regular locations but instead tend to be concentrated around areas of relatively easy access and/or special interest (Kadmon et al., 2004; Moerman & Estabrook, 2006).”
Latitudinal variation of diversity in European freshwater animals is not concordant across habitat types (2008, unknown): “The observed patterns in species richness might be caused by a variation in the sampling effort among regions (Bardgett et al ., 2005; Moerman & Estabrook, 2006).”
Assessing the Relevance of Herbarium Collections as Tools for Conservation Biology (2017, background): “…Broad-map effect^—, in areas close to the researchers’ place of residence or work—the Bbotanist effect^— and in protected areas or biodiversity hotspots (Moerman & Estabrook, 2006; Yang et al., 2013, 2014; Engemann et al., 2015); (3) gaps in spatial and temporal information (Ponder et al., 2001;…”
Measuring and modelling biodiversity from space (2008, background): “Even in relatively well-studied areas, different fi eld data sources can lead to dissimilar or biased maps of species distributions and diversity (Graham and Hijmans, 2006; Moerman and Estabrook, 2006; Pautasso and McKinney, 2007), and in areas such as the tropics species occurrence and distribution”