synoptReg: An R package for computing a synoptic climate classification and a spatial regionalization of environmental data

Lemus-Cánovas, Marc; López-Bustins, Joan A.; Martín‐Vide, Javier; Royé, Dominic

doi:10.1016/j.envsoft.2019.04.006

Cited by 32 publications

(19 citation statements)

References 16 publications

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“…(2019). The PCA was performed on the correlation matrix among the seven selected climatic variables at each occurrence point in R 3.5.3 (R Core Team, 2019) with the ‘synoptReg’ package (Lemus‐Canovas et al., 2019). The first two axes accounted for 77% of the variance.…”

Section: Methodsmentioning

confidence: 99%

Intraspecific differentiation: Implications for niche and distribution modelling

Collart

Hedenäs

Broennimann

et al. 2020

Journal of Biogeography

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Aim Mounting evidence suggests that failure of species distribution models to integrate local adaptation hinders our ability to predict distribution ranges, raising the question of whether modelling should be performed at the level of species (clade models) or intraspecific lineages (subclade models), characterized by the restricted availability of occurrence points. While Ensembles of Small Models (ESMs) offer an attractive framework for small datasets, their evaluation remains critical. We address these issues in the case of very small datasets inherent to subclade models and discuss which modelling strategy should be applied based on niche overlap among lineages. Location Sweden. Taxon Mosses. Methods Ensembles of Small Models were evaluated by null models built from randomly sampled presence points. We compared the extent of suitable area predicted by the projections of clade and subclade models. Niche overlap was quantified using Schoener's D and Hellinger'sImetrics, and the significance of these metrics in terms of niche conservatism or divergence was assessed by similarity tests. Results We introduced a simple procedure for evaluating ESMs based on the pooling of the statistics used to assess model accuracy from the replicates. Despite fairly high AUC and TSS values, 2 of the 23 subclade models did not perform better than null models and should be discarded. Combined predictions from subclade models contributed, on average, five times more than clade models to the total suitable area predicted by the combination of subclade and clade models. The D and I metrics averaged 0.45 and 0.71, with evidence for niche conservatism in half of the species and no signal for niche divergence. Main conclusions In addition to the assessment of ESM accuracy based on the simple procedure described here, we recommend that ESMs should be systematically evaluated against null models. Lumping or splitting occurrence data at the intraspecific level substantially impacted model projections. Given the poor performance of models based on small datasets, even when employing ESMs, we pragmatically suggest that, in the absence of evidence for niche divergence during diversification of closely related intraspecific lineages, SDMs should be based on all available occurrence data at the species level.

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Section: Methodsmentioning

confidence: 99%

Intraspecific differentiation: Implications for niche and distribution modelling

Collart

Hedenäs

Broennimann

et al. 2020

Journal of Biogeography

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“…This can be performed by means of several different methods, such as the Scree test (Cattell, 1966). The components selected are rotated by means of the Varimax rotation method (Esteban et al ., 2006; Lemus‐Canovas et al ., 2019b). This technique enables the variance to be redistributed in order to prevent most of the series from being grouped in the first region (Lemus‐Canovas et al ., 2018).…”

Section: Database and Methodologymentioning

confidence: 99%

Precipitation in peninsular Spain: Influence of teleconnection indices and spatial regionalisation

Martinez-Artigas

Lemus-Cánovas

López-Bustins

2020

Intl Journal of Climatology

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Precipitation constitutes a particularly variable climatic element in Spain. Study of teleconnection indices, closely related to precipitation, enables us to establish to a greater or lesser degree the mechanisms regulating pluviometric variability; these are vital for planning and managing water resources in semiarid regions. In the present article we attempt to identify the low-frequency patterns that present the closest statistical relationship with rainfall for each of the points on the MOPREDAS pluviometric data grid, covering the whole area of peninsular Spain. The results obtained reveal the clear dominance of Mediterranean Basin patterns, specifically of the Mediterranean Oscillation (MO) and of its version in the mid-levels of the troposphere (ULMO). Results, however, show a significant dominance of the Western Mediterranean Oscillation (WeMO) in the east of the Iberian Peninsula and the eastern part of the Cantabrian façade. Also noteworthy is the control exerted by the NAO over much of the centre and southwest of Spain, as well as the surprising dominance of an index that heretofore has not been used much, known as the Paris-London Westerly Index. Finally, we performed a regionalisation based upon the correlations between the teleconnection and precipitation indices by means of a principal components analysis, which revealed the existence of three differentiated pluviometric regions in peninsular Spain: Atlantic (centre and south), Mediterranean (east) and Cantabrian (north).

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“…This highlights the need to study atmospheric patterns involving this type of torrential event. However, most studies that characterize atmospheric patterns are based upon a "Circulation-to-Environment" approach; this means that the atmospheric circulation in a particular area is previously characterized and its implications for a given atmospheric/environmental variable at local scale are subsequently monitored [15,16]. Examples of this approach are widespread in the Pyrenees area.…”

Section: Introductionmentioning

confidence: 99%

Characterisation of Extreme Precipitation Events in the Pyrenees: From the Local to the Synoptic Scale

et al. 2021

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Mountain systems within the Mediterranean region, e.g., the Pyrenees, are very sensitive to climate change. In the present study, we quantified the magnitude of extreme precipitation events and the number of days with torrential precipitation (daily precipitation ≥ 100 mm) in all the rain gauges available in the Pyrenees for the 1981–2015 period, analyzing the contribution of the synoptic scale in this type of event. The easternmost (under Mediterranean influence) and north-westernmost (under Atlantic influence) areas of the Pyrenees registered the highest number of torrential events. The heaviest events are expected in the eastern part, i.e., 400 mm day−1 for a return period of 200 years. Northerly advections over the Iberian Peninsula, which present a low zonal index, i.e., implying a stronger meridional component, give rise to torrential events over the western Pyrenees; and easterly advections favour extreme precipitation over the eastern Pyrenees. The air mass travels a long way, from the east coast of North America, bringing heavy rainfall to the western Pyrenees. In the case of the torrential events over the eastern Pyrenees, the trajectory of the air mass causing the events in these areas is very short and originates in the Mediterranean Basin. The North Atlantic Oscillation (NAO) index has no influence upon the occurrence of torrential events in the Pyrenees, but these events are closely related to certain Mediterranean teleconnections such as the Western Mediterranean Oscillation (WeMO).

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synoptReg: An R package for computing a synoptic climate classification and a spatial regionalization of environmental data

Cited by 32 publications

References 16 publications

Intraspecific differentiation: Implications for niche and distribution modelling

Intraspecific differentiation: Implications for niche and distribution modelling

Precipitation in peninsular Spain: Influence of teleconnection indices and spatial regionalisation

Characterisation of Extreme Precipitation Events in the Pyrenees: From the Local to the Synoptic Scale

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