Strong discrepancies between local temperature mapping and interpolated climatic grids in tropical mountainous agricultural landscapes

Faye Emile, Herrera Mario, Bellomo Lucio, Silvain Jean-François, Dangles Olivier. 2014. Strong discrepancies between local temperature mapping and interpolated climatic grids in tropical mountainous agricultural landscapes. PloS One, 11 p.

Journal article ; Article de recherche ; Article de revue à facteur d'impact Revue en libre accès total
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Liste HCERES des revues (en SHS) : oui

Thème(s) HCERES des revues (en SHS) : Psychologie-éthologie-ergonomie; Staps

Abstract : Bridging the gap between the predictions of coarse-scale climate models and the fine-scale climatic reality of species is a key issue of climate change biology research. While it is now well known that most organisms do not experience the climatic conditions recorded at weather stations, there is little information on the discrepancies between microclimates and global interpolated temperatures used in species distribution models, and their consequences for organisms' performance. To address this issue, we examined the fine-scale spatiotemporal heterogeneity in air, crop canopy and soil temperatures of agricultural landscapes in the Ecuadorian Andes and compared them to predictions of global interpolated climatic grids. Temperature time-series were measured in air, canopy and soil for 108 localities at three altitudes and analysed using Fourier transform. Discrepancies between local temperatures vs. global interpolated grids and their implications for pest performance were then mapped and analysed using GIS statistical toolbox. Our results showed that global interpolated predictions over-estimate by 77.5±10% and under-estimate by 82.1±12% local minimum and maximum air temperatures recorded in the studied grid. Additional modifications of local air temperatures were due to the thermal buffering of plant canopies (from −2.7°K during daytime to 1.3°K during night-time) and soils (from −4.9°K during daytime to 6.7°K during night-time) with a significant effect of crop phenology on the buffer effect. This discrepancies between interpolated and local temperatures strongly affected predictions of the performance of an ectothermic crop pest as interpolated temperatures predicted pest growth rates 2.3–4.3 times lower than those predicted by local temperatures. This study provides quantitative information on the limitation of coarse-scale climate data to capture the reality of the climatic environment experienced by living organisms. In highly heterogeneous region such as tropical mountains, caution should therefore be taken when using global models to infer local-scale biological processes. (Résumé d'auteur)

Mots-clés Agrovoc : Climatologie, Agriculture, Terre agricole, Paysage agricole, Température, Température ambiante, Cartographie, Utilisation des terres, Ravageur des plantes, Montagne, Altitude

Mots-clés géographiques Agrovoc : Équateur

Classification Agris : H10 - Pests of plants
P40 - Meteorology and climatology
E90 - Agrarian structure
U30 - Research methods

Champ stratégique Cirad : Axe 4 (2014-2018) - Santé des animaux et des plantes

Auteurs et affiliations

  • Faye Emile, IRD (FRA) ORCID: 0000-0001-7764-3256
  • Herrera Mario, Pontificia Universidad Catolica del Ecuador (ECU)
  • Bellomo Lucio, CNRS (FRA)
  • Silvain Jean-François, IRD (FRA)
  • Dangles Olivier, IRD (FRA)

Source : Cirad-Agritrop (

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