Impact of the quality of climate models for modelling species occurrences in countries with poor climatic documentation: a case study from Bolivia

By Rodrigo W. Soria-Auza, M. Kessler, K. Bach, Paola M. Barajas-Barbosa, M. Lehnert, Sebastián K. Herzog, Jürgen Böhner. 2010

107 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/971acd8653fccf0cfe00707d670fce8cf2d6df49

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Citations in the corpus

A climate of uncertainty: accounting for error in climate variables for species distribution models (2015, methodology): “The environment is quantified using spatial climate variables, such as maximum/minimum temperature, temperature in warmest month, amongst many others (Soria-Auza et al. 2010).”
Fine‐resolution (25 m) topoclimatic grids of near‐surface (5 cm) extreme temperatures and humidities across various habitats in a large (200 × 300 km) and diverse region (2011, background): “The quality of climate data is often overlooked as a source of error in studies that explain or predict species distributions (Soria-Auza et al., 2010), and as the Copyright 2011 Royal Meteorological Society quality of fine-resolution climate grids cannot be assessed by resolution alone, more…”
Climatologies at high resolution for the earth’s land surface areas (2016, methodology): “ly values of the gridded GPCC dataset13 to calculate the monthly bias R m caused by the spin up – spin down of the forecast algorithm51 for each month from Jan. 1979 – Dec. 2013 using: 𝑅�= ��𝑃𝐶𝐶 �𝐸𝑅𝐴 [10] We only used grid cells with climatic stations present for R m . The spin up – spin down”
System for Automated Geoscientific Analyses (SAGA) v. 2.1.4 (2015, methodology): “…variations and wind velocities, and terrain determined alterations of shortwave and longwave radiation ﬂuxes, is given in Böhner and Antonic (2009) Soria-Auza et al. (2010) conducted a systematic evaluation of SAGA-based climate spatialization results in comparison with Worldclim data…”
The effects of climate change on tropical birds (2012, background): “and tropical climatemodels based on limited data can be a source of uncertainty that may affect the outcomes of species distribution models (Soria-Auza et al., 2010).”