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opencc-by-4.0Dec 2022View details →

Data for 'Adapting to a Foggy Future along Trans-Arctic Shipping Routes'

1.【XXXX_bc_ff_and_seaice.mat】The data is simulated Arctic sea fog frequency during 1979-2018 by using 6-hourly ERA-Interim data and Polar WRF. The fog results are bias corrected by ICOADS observations.     The dimension of the data is 5*95*95, which means five fog-diagnosed method (SW99, FSL, UPP, G2006 and G2009), 95 lontitude and 95 latitude. In the paper, we only use SW99 method, which is the first fog-diagnosed method. 2.【ff_XXX_cmip5_best_model_XXXX_XXXX.mat】The data  is  projected Arctic sea fog frequency based on the "best" six models from CMIP5. 3.【Code for deriving shipping routes.zip】The code for designing shipping routes. This version is the latest one (update in 20230331).   More detail please sees the paper "Adapting to a Foggy Future along Trans-Arctic Shipping Routes".

dryad32/100

High-resolution quasi-idealized experiments for future and present-day based upon composites from a decades-long set of recurving landfalling (RCL) North Atlantic ET cases

We present a high-resolution quasi-idealized experiment based upon composites from a decades-long set of recurving landfalling (RCL) North Atlantic extratropical transition (ET) cases. Following Jung and Lackmann (2021), we apply the track-based classification method of Colbert and Soden (2012) to the historical database (1979 to 2018) of North Atlantic RCL ET events; recurving landfalling tropical cyclones (TCs) are defined as those which cross 70°W north of 25°N or cross 65W north of 40N and threaten the U.S. East Coast. We use the Atlantic Hurricane Database (HURDAT2) best-track data (Landsea and Franklin 2013); the track-based classification procedure yields 37 RCL ET cases over the 40-year period. To minimize the spread of the selected ET cases in terms of time to complete transition, we apply a threshold of 36 h as in Jung and Lackmann (2021). As HURDAT2 only specifies when transition is complete but does not provide the timeline of the transition, we supplement it with the cyclone phase space (CPS) method of Hart (2003) to diagnose onset and completion times of ET; ET events are first identified by HURDAT2 and then we compute the CPS parameters to confirm the ET timeline for each event using the ERA5 reanalysis dataset (Hersbach et al. 2020). This filtering process yields 21 RCL ET cases. This dataset is initialized by randomized 15-case composites selected from the 21 RCL ET cases as in Jung and Lackmann (2021). This dataset was used to produce figures and tables in the manuscript of Jung and Lackmann (2023, in review). Due to storage limitations, the full dataset is much too large to be published (~ 500GB). Instead, a subset consisting of 3-hourly atmospheric temperature at 17 vertical levels, zonal and meridional wind at 17 vertical levels, 3 hourly accumulated precipitation, mean sea level pressure, 10-m zonal and meridional wind, sea surface temperature, and relative humidity at 17 vertical levels is presented. If you wish to access the full dataset, please contact one of the authors.

opencc-zeroMar 2023View details →

opencc-by-4.0Apr 2023View details →

Invasive alien species in Campos Sulinos: current status and future trends

This file belongs to the Electronic supplemental material "Table S1. Researchers who contributed to records of occurrences of species from SISBIO data.".

opencc-by-4.0Apr 2023View details →

Future climate change accelerates the invasive rhythm of alien marine species: new insights into the invasive potential of the world's aquaculture species red drum Sciaenops ocellatus

This article accompanies the article "Integrating species distribution modeling, stable isotope and transcriptomic analysis provides insights into eco-position competition for alien red drum Sciaenops ocellatus". The file contains supplementary material to the article.

Fig. 4.—A Bayesian cytochrome b in A precarious future for distinctive peripheral populations of meadow voles (Microtus pennsylvanicus)

Fig. 4.—A Bayesian cytochrome b (Cytb) gene tree for 50 individuals of Microtus pennsylvanicus. Colors correspond to Cytb clades depicted in Fig. 2. Posterior probability of> 0.95 are denoted by an asterisk. Four species of Microtus were used as outgroups and are shown in black (M. longicaudus, M. townsendii, M. canicaudus, and M. montanus).

Fig. 3.—A Bayesian cytochrome b in A precarious future for distinctive peripheral populations of meadow voles (Microtus pennsylvanicus)

Fig. 3.—A Bayesian cytochrome b (Cytb) gene tree for 63 species of Microtus. Posterior probability of> 0.95 are depicted by asterisk. The inset shows M. breweri nested within M. pennsylvanicus. Two species of Chionomys were used as outgroups and are shown at the bottom of the tree (C. roberti and C. nivalis).

Fig. 2 in A precarious future for distinctive peripheral populations of meadow voles (Microtus pennsylvanicus)

Fig. 2.—Distribution of Microtus pennsylvanicus (modified from IUCN) with dots representing sampling localities of specimens in Supplementary Data SD2. Colors correspond to four well-supported cytochrome b (Cytb) clades with solid lines representing hypothesized range limits of each clade.

Fig. 1 in A precarious future for distinctive peripheral populations of meadow voles (Microtus pennsylvanicus)

Fig. 1.—Distribution of subspecies of Microtus pennsylvanicus (modified from Hoffmann and Koeppl 1985) and the insular M. breweri: 1) M. p. acadicus, 2) M. p. admiraltiae, 3) M. p. alcorni, 4) M. p. aphorodemus, 5) M. p. chihuahuensis (extinct), 6) M. p. copelandi, 7) M. p. drummondii, 8) M. p. dukecampbelli, 9) M. p. enixus, 10) M. p. finitus, 11) M. p. fontigenus, 12) M. p. funebris, 13) M. p. insperatus, 14) M. p. kincaidi, 15) M. p. labradorius, 16) M. p. magdalenensis, 17) M. p. microcephalus, 18) M. p. modestus, 19) M. p. nesophilus (extinct), 20) M. p. nigrans, 21) M. p. pennsylvanicus, 22) M. p. provectus, 23) M. p. pullatus, 24) M. p. rubidus, 25) M. p. shattucki, 26) M. p. tananaensis, 27) M. p. terraenovae, 28) M. p. uligocola, and 29) M. breweri.

FIG. 2 in Maternal Body Size and Condition Predict Measures of Reproductive Success and Future Reproductive Allocation in Territorial Eastern Red-Backed Salamanders

FIG. 2. The regression of number of surviving offspring (at 185 d posthatching) on (A) maternal body size (SVL in mm) and (B) maternal condition (residuals of the regression of maternal mass, mm, on maternal body size, SVL in mm).

FIG. 3 in Maternal Body Size and Condition Predict Measures of Reproductive Success and Future Reproductive Allocation in Territorial Eastern Red-Backed Salamanders

FIG. 3. The body size of siblings that did and did not survive to 185 d after hatching. Each point represents the mean SVL of siblings from a single female that did or did not survive. The diagonal line represents the hypothetical situation in which the body size of siblings that did and did not survive are equal.

FIG. 1 in Maternal Body Size and Condition Predict Measures of Reproductive Success and Future Reproductive Allocation in Territorial Eastern Red-Backed Salamanders

FIG. 1. The regression of (A) clutch size (number of eggs) and of (B) mean juvenile size (measured as mean snout–vent length, SVL, in mm per clutch) on maternal body size (SVL in mm).

FIG. 4 in Maternal Body Size and Condition Predict Measures of Reproductive Success and Future Reproductive Allocation in Territorial Eastern Red-Backed Salamanders

FIG. 4. The regression of number of developing oocytes (visible through the body wall) produced by females on (A) maternal body size (SVL in mm) and (B) maternal condition (residuals of the regression of maternal mass, mm, on maternal body size, SVL in mm).

Fig. 4.—A in The platypus: evolutionary history, biology, and an uncertain future

Fig. 4.—A) Dorsal and ventral views of the skull of Obdurodon dicksoni from Middle Miocene sediments in the Riversleigh World Heritage area (left image, dorsal view, micro-CT image courtesy T. Rowe, the University of Texas; right image, ventral view, photo Ross Arnett). B) Dentition of O. dicksoni (upper two rows) and Obdurodon insignis (bottom row—Archer et al. 1993). C) A right upper molar (RM2) of Monotrematum sudamericanum (left) compared with a slightly damaged RM2 (right) of O. dicksoni (Pascual et al. 1992b). D) Left dentary fragment with LM1-3, of Steropodon galmani (photo by John Field—Archer et al. 1985). E) Three views of a lower right dentary fragment with RM1-3 of Kollikodon ritchiei. F) Upper left maxillary fragment with LP4 to M4 of K. Ritchie (photo by John Field). G) Right humerus of Kryoryctes cadburyi (photo by Steven Morton—Pridmore et al. 2005). H) Left dentary of Teinolophos trusleri retaining one premolar (of four) and four (of five) molars (composition reconstruction by Peter Trusler—Rich et al. 2016).

Fig. 5 in The platypus: evolutionary history, biology, and an uncertain future

Fig. 5.—Long-term decline in geographic distribution and species' diversity in monotremes and their early descendants. Cretaceous monotremes probably occurred throughout much of eastern Gondwana. By the early Paleocene, ornithorhynchids were geographically as widespread across Gondwana as Patagonia in southern South America. By the late Oligocene/Miocene (25–15 Mya), at least three ornithorhynchids occurred across the continent of Australia but none survived on other continents. Today, the platypus (Ornithorhynchus anatinus) maintains an even more restricted area, the river systems of eastern Australia (modified after Archer 1995; Steropodon image by Peter Schouten; Monotrematum image by James McKinnon—Archer 1995; Obdurodon image by Peter Schouten—Pian et al. 2013; Ornithorhynchus artwork by Rod Scott, Australian Geographic Magazine).

Fig. 1.—A in The platypus: evolutionary history, biology, and an uncertain future

Fig. 1.—A platypus, Ornithorhynchus anatinus returning back to the Upper Tarago River in Victoria, Australia after having been measured and tagged. Photo by Doug Gimesy.

Fig. 2 in The platypus: evolutionary history, biology, and an uncertain future

Fig. 2.—Distribution of the platypus (Ornithorhynchus anatinus) based on 11,830 records from Australian state government fauna atlases and the Atlas of Living Australia (www.ala.org.au) between 1760 and 2017.

Fig. 3 in The platypus: evolutionary history, biology, and an uncertain future

Fig. 3.—The number of peer-reviewed publications (gray fill, n = 404) on the platypus (Ornithorhynchus anatinus) grouped by year (1960–2017) and stratified by the top ten research areas (color bars) in the Web of Science database with "Ornithorhynchus anatinus" in either title, abstract, keywords, or keywords plus (https://www.isiknowledge.com).