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opencc-by-4.0Nov 2023View details →

Figure 1 in The range dynamics of a cactophilic Drosophila species under climate change scenarios

Figure 1. Approximate distribution of D. gouveai (green area) showed Caatinga and Cerrado domains and the localities sampled for the species (based on Moraes et al., 2009), descriptive statistics (n, number of individuals; H, the number of haplotype; H d, haplotype diversity; pi, nucleotide diversity) and median joining network of 48 individuals of D. gouveai. All statistics based on nucleotide sequences were adopted from Moraes et al. (2009). MIR: Pirapotanga; FOR: Morro do Forno; FUR: Furnas; CEU: Vale do Céu; CRI: Cristalina; FER: Fercal; PIR: Pirenópolis; SER: Serrinha; IBO: Ibotirama; BAX: Baxio.

opencc-by-4.0Nov 2023View details →

Figure 4 in The range dynamics of a cactophilic Drosophila species under climate change scenarios

Figure 4. Last Interglacial, Last Glacial Maximum, Present (1960–1990), and the Future (2050 and 2070) predictions of the potential distribution of D. gouveai based on two thresholding approaches. Arrows shows very limited potential distribution of D. gouveai in 2050 and 2070. The abbreviations are defined as follows: LGM-Last Glacial Maximum, LIG-Last Interglacial. Additionally, specific climate models include LGM-cc (Community Climate System Model), LGM-me (MPI-ESM-P, General Circulation Models), and LGM-mr (Model for Interdisciplinary Research on Climate, Earth System version 2 for Long-term simulations).

opencc-by-4.0Nov 2023View details →

Figure 3 in The range dynamics of a cactophilic Drosophila species under climate change scenarios

Figure 3. Isolation-by-distance of populations of D. gouveai based on mtDNA. Linear regression lines were drawn for all comparisons among populations (full line), and for populations not included MIR (dotted line).

Fig. 5 in Climate-driven diversity changes of Mediterranean echinoids over the last 6 Ma

Fig. 5. Stratigraphic distribution and climatic preferences of regular and irregular echinoids recorded in the Miocene to Recent Mediterranean area.

Fig. 3 in Climate-driven diversity changes of Mediterranean echinoids over the last 6 Ma

Fig. 3. Biogeography of regular (A) and irregular (B) echinoid genera which occurred in the Mediterranean during the Late Miocene–Holocene.

Fig. 2 in Climate-driven diversity changes of Mediterranean echinoids over the last 6 Ma

Fig. 2. Current distribution by depth of shelf-preferring/exclusive echinoid genera that still live or lived in Mediterranean during the late Cenozoic. Data are expressed in percentage of the centennial bathymetric records collected by OBIS (https://obis.org).

Fig. 4 in Climate-driven diversity changes of Mediterranean echinoids over the last 6 Ma

Fig. 4. Rare echinoids from the Mediterranean late Cenozoic to Recent. A. Stirechinus scillae Desor, 1856, MG 1034.10, Early Pleistocene, Contrada Coilare (Messina, Sicily), in lateral view. B. Spatangus purpureus (Müller, 1776), MG 1038.01, Calabrian, Castell'Arquato, Italy, in aboral view. C. Sardospatangus rovasendai (Airaghi, 1901), MTPL.1246, Piacenzian of Pecetto Piemontese, Italy, in aboral (C1) and oral (C2) views. D. Schizechinus serialis Pomel, 1887, MCS Ss.17, Calabrian, Stirone River, Parma, Italy, in lateral view. E. Schizechinus serialis Pomel, 1887, MG Sz.15, Calabrian, Castell'Arquato, Italy, in aboral view. F. Tripneustes gahardensis (Seunes, 1896), MGUS 2040, late Tortonian–early Messinian, Espera, Spain, in aboral view. G. Gracilechinus acutus (Lamarck, 1816), MCS Ga.12 (ex Bussolati collection), Calabrian, Stirone River, Parma, Italy, in lateral view. H. Granopatagus subinermis (Pomel, 1887), MZUF.1359, Recent, off Livorno, Italy, in oral (H1) and aboral (H2) views.

Fig. 6 in Climate-driven diversity changes of Mediterranean echinoids over the last 6 Ma

Fig. 6. Mediterranean biostratigraphy of some regular (green) and irregular (blue) echinoid genera showing appearances and disappearances during the Pliocene–Holocene interval. Shaded parts of the δ18O curve indicate the beginning and the gradual intensification of the Northern Hemisphere glaciation A) according to Mudelsee and Raymo (2005), and the remarkable climate deterioration within the Gelasian at around 2.1 Ma (B). Chronostratigraphy is from Cohen et al. (2013).

Fig. 1 in Climate-driven diversity changes of Mediterranean echinoids over the last 6 Ma

Fig. 1. Stratigraphy (A) and location (B) of some echinoid key sites from Italy, showing some of the most significant appearances, disappearances and other occurrences of Mediterranean late Cenozoic echinoids. Lithology and stratigraphy are reconstructed from Borghi and Garilli (2017) and Crippa et al. (2019) for Stirone east; Cau et al. (2015) for Stirone west; Ceregato et al. (2007) for Campore; Capozzi and Picotti (2003) for Castrocaro; Di Bella et al. (2005) for Anzio; Borghi and Garilli (2017) for Sant'Andrea. The nannofossil biozones (CNPL) and the age of Discoaster tamalis last occurrence are after Backman et al. (2012). The foraminifer biozonation (MPL) is according to Lirer et al. (2019).

Fig. 9 in Changes in the range of Pterostichus melas and P. fornicatus (Coleoptera, Carabidae) on the basis of climatic modeling

Fig. 9. The area of distribution of P. melas for 2050 at annual increment of the temperature measuring 0.03–0.05 ºC: for keys see Fig. 8

Fig. 4 in Changes in the range of Pterostichus melas and P. fornicatus (Coleoptera, Carabidae) on the basis of climatic modeling

Fig. 4. Presumed range of P. fornicatus in 2050 at mean increase in average temperature to 2100 equaling 2.4 ºC: for keys see Fig. 2

Fig. 5 in Changes in the range of Pterostichus melas and P. fornicatus (Coleoptera, Carabidae) on the basis of climatic modeling

Fig. 5. Predicted range of P. fornicatus in 2070 at mean increment of 2.4 ºC to 2100: for keys see Fig. 2 ASK BRIG

Fig. 10 in Changes in the range of Pterostichus melas and P. fornicatus (Coleoptera, Carabidae) on the basis of climatic modeling

Fig. 10. Area of the distribution of P. melas in 2070 at annual increment of the temperature equaling 0.03–0.05 ºC: for keys see Fig. 8

Fig. 1 in Changes in the range of Pterostichus melas and P. fornicatus (Coleoptera, Carabidae) on the basis of climatic modeling

Fig. 1. Analysis of the accuracy of the model of probable distribution: a – omission and Predicted Area for P. fornicatus: 1 – test data, 2 – training data, 3 – fraction of the initial data presented, 4 – predicted emission; b – trend of the operating curve AUC: 1 – test data, 2 – training data, 3 – random prediction

Fig. 8 in Changes in the range of Pterostichus melas and P. fornicatus (Coleoptera, Carabidae) on the basis of climatic modeling

Fig. 8. Area of distribution of Pterostichus melas:in red the most suitable zones for living are indicated (80–100%), orange – 50–80%, yellow – 20–50%, green – less than 10%, dark blue – 0%

Fig. 3 in Changes in the range of Pterostichus melas and P. fornicatus (Coleoptera, Carabidae) on the basis of climatic modeling

Fig. 3. Curves of dependence of the model of probable distribution of P. fornicatus on bioclimatic parameters: a – Bio11; along the abscissa axis – mean temperature of the coldest quarter of year; on the ordinate axis – index of suitability for the species, b – Bio14; on the abscissa axis – amount of precipitations in the driest month of the year; on the ordinate axis – index of suitability for the species, c – Bio 6; on the abscissa axis – minimum temperature

Fig. 2 in Changes in the range of Pterostichus melas and P. fornicatus (Coleoptera, Carabidae) on the basis of climatic modeling

Fig. 2. Model of potential (probable) range of P. fornicatus assessed in Maxent software basing on the data of WorldClim: in red the most suitable areas for living are indicated (70–100%), orange – 50–70%, yellow – 20–50%, blue – 0%.

Fig. 6 in Changes in the range of Pterostichus melas and P. fornicatus (Coleoptera, Carabidae) on the basis of climatic modeling

Fig. 6. Statistical analysis of the obtained model of the probable distribution of P. melas: a – omission and Predicted Area for P. melas: 1 – test data, 2 – training data, 3 – fraction of the initial data which were predicted, 4 – predicted emission; b – trend of the operative curve AUC: 1 – test data, 2 – training data, 3 – random prediction

opencc-by-4.0Jun 2024View details →

Dataset for digital twins for managing bridge climate change adaptation

This is the dataset for embedding in the novel digital twin driven by BIM technology to manage the climate change adaptation measures for the bridges. A 6D BIM model has been established and embeded with change adaptation measures, timeline schedule, climate change adaptation cost estimation, and carbon emission estimation.