A method of downscaling temperature maps based on analytical hillshading for use in species distribution modelling

Felicísimo, Ángel M.; Martín-Tardío, Miguel A.

doi:10.1080/15230406.2017.1338620

Cited by 6 publications

(3 citation statements)

References 16 publications

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“…They originate in meteorology and incorporate the physical processes like energy and mass fluxes or wind speed to predict climate at the local scale, which makes them more likely to provide reliable predictions under future conditions (Bennie et al 2008, Evans and Westra 2012, Felicísimo Pérez and Martín-Tardío 2017, Kearney and Porter 2017. coastal influences, altitudinal effects or cold-air drainage).…”

Section: Measurement Location Spatial Resolution Temporal Resolution mentioning

confidence: 99%

“…coastal influences, altitudinal effects or cold-air drainage). They originate in meteorology and incorporate the physical processes like energy and mass fluxes or wind speed to predict climate at the local scale, which makes them more likely to provide reliable predictions under future conditions (Bennie et al 2008, Evans and Westra 2012, Felicísimo Pérez and Martín-Tardío 2017, Kearney and Porter 2017. Mechanistic models still require inputs from weather stations or climate models, but crucially the downscaling process is based on known mechanisms rather than using interpolation or statistical algorithms (Bramer et al 2018).…”

Section: In-situ Measurementsmentioning

confidence: 99%

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Incorporating microclimate into species distribution models

2018

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Ecography E4 awardSpecies distribution models (SDMs) have rapidly evolved into one of the most widely used tools to answer a broad range of ecological questions, from the effects of climate change to challenges for species management. Current SDMs and their predictions under anthropogenic climate change are, however, often based on free-air or synoptic temperature conditions with a coarse resolution, and thus fail to capture apparent temperature (cf. microclimate) experienced by living organisms within their habitats. Yet microclimate operates as soon as a habitat can be characterized by a vertical component (e.g. forests, mountains, or cities) or by horizontal variation in surface cover. The mismatch between how we usually express climate (cf. coarse-grained free-air conditions) and the apparent microclimatic conditions that living organisms experience has only recently been acknowledged in SDMs, yet several studies have already made considerable progress in tackling this problem from different angles. In this review, we summarize the currently available methods to obtain meaningful microclimatic data for use in distribution modelling. We discuss the issue of extent and resolution, and propose an integrated framework using a selection of appropriatelyplaced sensors in combination with both the detailed measurements of the habitat 3D structure, for example derived from digital elevation models or airborne laser scanning, and the long-term records of free-air conditions from weather stations. As such, we can obtain microclimatic data with a relevant spatiotemporal resolution and extent to dynamically model current and future species distributions.

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Section: Measurement Location Spatial Resolution Temporal Resolution mentioning

confidence: 99%

Section: In-situ Measurementsmentioning

confidence: 99%

Incorporating microclimate into species distribution models

2018

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“…Means for habitat features were compared using paired t ‐tests when assumptions of a Gaussian distribution were met and, when they were not met, we used non‐parametric Wilcoxon signed‐ranks tests. We divided aspect into two categories, northerly and southerly, but centered them on northeast and southwest (each extending 90° in both directions) because southwest slopes in the northern hemisphere receive the most solar radiation during the warmest parts of the day (Felicísimo Pérez and Martín‐Tardío 2018). We used a chi‐squared test to test for differences in aspect.…”

Section: Methodsmentioning

confidence: 99%

Nest‐site selection by Cassia Crossbills and management implications

Smith

Fetz

Shea³

2021

J. Field Ornithol.

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Cassia Crossbills (Loxia sinesciuris) are endemic to two small mountain ranges in southern Idaho, the South Hills and Albion Mountains. Although previous studies have shown the importance of mature Rocky Mountain lodgepole pines (Pinus contorta latifolia) that have accumulated a large canopy cone bank as a food resource for Cassia Crossbills, information about nest‐site selection is lacking. We located 49 Cassia Crossbill nests in the South Hills in 2001–2002, characterized their locations and surrounding habitat, and characterized the habitat in 26 nearby random locations for comparison. We also include information on tree species and height for 57 nests located from 2003 to 2006. Cassia Crossbills built nests where foliage was most extensive in the upper canopy of large lodgepole pines in relatively dense and mature stands dominated by lodgepole pine. Nests were usually on lateral branches on the south side of trees, but the slope and aspect of nest locations were not distinctive. Other species of crossbills generally build nests in dense foliage, but, unlike Cassia Crossbills, they usually nest in relatively open stands, presumably to reduce the risk of nest predation by tree squirrels. Because tree squirrels do not co‐occur with Cassia Crossbills, their preference to nest in dense forests may reduce exposure to wind and inclement weather and reduce the likelihood of detection by nest predators such as Common Ravens (Corvus corax). We believe that nest sites will not be limiting if there is an adequate seed supply. However, this requires a large canopy cone bank throughout the range of Cassia Crossbills, an outcome that is uncertain in the face of increasing temperatures and increasing fire frequency and intensity.

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Evaluating topographic variation as a guide to Cassia crossbill refugia

Argov

2021

Forest Ecology and Management

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A method of downscaling temperature maps based on analytical hillshading for use in species distribution modelling

Cited by 6 publications

References 16 publications

Incorporating microclimate into species distribution models

Incorporating microclimate into species distribution models

Nest‐site selection by Cassia Crossbills and management implications

Evaluating topographic variation as a guide to Cassia crossbill refugia

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