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FIGURE. 28–31 in The Muscidae (Diptera) of Saudi Arabia, descriptions of two new species, new records and updated list of species
FIGURE. 28–31. Muscidae species habitus: 28) Atherigona (Atherigona) conigera Emden, 1940, Male; 29) Atherigona (Atherigona) gilvifolia Emden, 1940, Male; 30) Atherigona (Atherigona) humeralis (Wiedemann, 1830), Male; 31) Atherigona (Atherigona) hyalinipennis Emden, 1959, Male.
FIGURE 1 in The Muscidae (Diptera) of Saudi Arabia, descriptions of two new species, new records and updated list of species
FIGURE 1. The Saudi Arabian sites where Muscidae were collected in the present study: (A) Jazan, Abu Aresh, Al-Mahdag village; (B) Jazan, Farasan Island, Aziz Yousef Village; (C) Jazan, Fifa, Al-Tatweer Centre (photo by Habib Khemira); (D) Asir, Keratha, Al-Ethrebany Fruit Farm; (E) Asir, Abha, Hay Al-Menhel; (F) Asir, Al-Souda, Al-Muqtha Dam, (photo by Othman Abdullah).
FIGURE. 18–22 in The Muscidae (Diptera) of Saudi Arabia, descriptions of two new species, new records and updated list of species
FIGURE. 18–22. Muscidae species habitus: 18) Brontaea tonitrui (Wiedemann, 1824), Female; 19) Helina clara (Meigen, 1826), Female; 20) Helina coniformis (Stein In Becker, 1903), Male.; 21) Helina lucida (Stein, 1913), Male; 22) Helina ponti sp. nov. Male.
FIGURE. 43–45 in The Muscidae (Diptera) of Saudi Arabia, descriptions of two new species, new records and updated list of species
FIGURE. 43–45. Muscidae species habitus: 43) Atherigona (Acritochaeta) orientalis Schiner, 1868, Male; 44) Inner surface of left surstylus (base omitted) of Atherigona (Acritochaeta) tedderi Deeming, 1979 showing the difference in shape and chaetotaxy from that of the holotype; 45) Atherigona (Acritochaeta) yorki Deeming, 1971, Male.
FIGURE. 24–27 in The Muscidae (Diptera) of Saudi Arabia, descriptions of two new species, new records and updated list of species
FIGURE. 24–27. Muscidae species habitus: 24) Phaonia virgata Stein, 1913, Female; 25) Dichaetomyia luteiventris (Rondani, 1873), Male; 26) Atherigona (Atherigona) angulata Deeming, 1971, Male; 27) Atherigona (Atherigona) bedfordi Emden, 1940, Male.
FIGURE. 75–76 in The Muscidae (Diptera) of Saudi Arabia, descriptions of two new species, new records and updated list of species
FIGURE. 75–76. Muscidae species habitus: 75) Stygeromyia maculosa Austen, 1907, Female; 76) Stygeromyia sanguinaria Austen, 1909, Male.
FIGURE 42 in The Muscidae (Diptera) of Saudi Arabia, descriptions of two new species, new records and updated list of species
FIGURE 42. Atherigona (Acritochaeta) afrotropicalis Deeming sp. nov. Male. A) Cercal plate and surstyli from behind; B) Aedeagus; (C) Fifth sternite from beneath;.
FIGURE. 55–58 in The Muscidae (Diptera) of Saudi Arabia, descriptions of two new species, new records and updated list of species
FIGURE. 55–58. Muscidae species habitus: 55) Limnophora rufimana (Strobl, 1893), Male; 56). Lispe bengalensis (Robineau-Desvoidy, 1930), Male; 57) Lispe cilitarsis Loew, 1856, Female; 58) Lispe dichaeta Stein, 1913, Male.
FIGURE. 71–74 in The Muscidae (Diptera) of Saudi Arabia, descriptions of two new species, new records and updated list of species
FIGURE. 71–74. Muscidae species habitus: 71) Coenosia punctigera Stein, 1918, Female; 72) Coenosia simulans (Paterson, 1956), Female; 73). Lispocephala mikii (Strobl, 1893), Female; 74) Pygophora immaculipennis Frey, 1917, Female.
FIGURE. 59–62 in The Muscidae (Diptera) of Saudi Arabia, descriptions of two new species, new records and updated list of species
FIGURE. 59–62. Muscidae species habitus: 59) Lispe flavicornis Stein, 1909, Female; 60) Lispe kowarzi Becker, 1903, Male; 61) Lispe nana Macquart, 1835, Male; 62) Lispe pectinipes Becker, 1903, Female.
FIGURES 9–16 in Species of Astrothrips from China, with one new species and a list of plant associations (Thysanoptera, Panchaetothripinae)
FIGURES 9–16. Head and pronotum of Astrothrips species. (9) aucubae; (10) globiceps; (11) chisinliaoensis (12) strasseni; (13) tumiceps; (14) Pronotum of glanduculus (variant); (15) glanduculus; (16) asiaticus.
FIGURES 1–8. Astrothrips species. 1–4 A in Species of Astrothrips from China, with one new species and a list of plant associations (Thysanoptera, Panchaetothripinae)
FIGURES 1–8. Astrothrips species. 1–4 A. glanduculus sp.n (1) Female; (2) Male; (3) Abdominal tergites VII–X of male; (4) Abdominal sternites V–VII of male. 5–6 globiceps. (5) Abdominal sternites IV–VII of male; (6) Abdominal tergites VIII–X of female; (7) Abdominal tergites VIII–X of chisinliaoensis; (8) Abdominal tergites VI–VII of glanduculus.
FIGURES 17–26. Astrothrips species. 17–18, 20–22 in Species of Astrothrips from China, with one new species and a list of plant associations (Thysanoptera, Panchaetothripinae)
FIGURES 17–26. Astrothrips species. 17–18, 20–22. Meso-metanotum of Astrothrips species (17) strasseni; (18) chisinliaoensis; (19) Antennae of aucubae; (20) aucubae; (21) tumiceps; (22) glanduculus; (23) Fore wing of glanduculus; 24–26 Antennae of Astrothrips species (24) glanduculus; (25) chisinliaoensis; (26) strasseni.
Appendix 2 to "The Status of Biological Invasions and their Management in South Africa in 2019"—the species list
<p>For more details see: http://iasreport.sanbi.org.za</p> <p>SANBI and CIB 2020. Appendix 2 to "The Status of Biological Invasions and their Management in South Africa in 2019"—the species list. South African National Biodiversity Institute, Kirstenbosch and DSI-NRF Centre of Excellence for Invasion Biology, Stellenbosch. http://dx.doi.org/10.5281/zenodo.3947659</p>
Data from: Taxa, petitioning agency, and lawsuits affect time spent awaiting listing under the US Endangered Species Act
The United States' Endangered Species Act (ESA) is the world's foremost law for protecting species at risk of extinction; however, species must first be listed as threatened or endangered before receiving protection under the Act. We used an information theoretic approach to assess whether listing budget, policy phase (which was correlated with presidential administration), or both factors were associated with the number of species listed annually between 1983 and 2014. Annual listing rates were positively affected by larger listing budgets; policy phase also had a significant impact on annual listing rates after accounting for the effects of budget. However, the listing process for any one species spans multiple years, thus we also evaluated how taxonomic affiliation, the initiating organization, and lawsuits affected the amount of time 1338 listed species spent in review between 1973 and 2014. Species waited a median of 12.1 years to receive protection, with plants and invertebrates experiencing longer wait times than vertebrates. These process times exceed ESA deadlines, which are two years when initiated from a third party; this may perpetuate population declines and hinder recovery efforts. We observed that at the time of a lawsuit filling for either a proposed or final rule, species had waited, respectively, 4.19 and 0.70 years longer than species for which no lawsuits were filed, indicating lawsuits targeted species that experienced longer delays. We discuss how changes in ESA implementation over time interacted to produce high variability and often long wait times in the listing process. Our results indicated a positive role for both citizen petitions and budget increases to advance the listing process, thus hastening biodiversity protection.
Data from: A prioritised list of invasive alien species to assist the effective implementation of EU legislation
1. Effective prevention and control of invasive species generally relies on a comprehensive, coherent and representative list of species that enables resources to be used optimally. European Union (EU) Regulation 1143/2014 on invasive alien species (IAS) aims to control or eradicate priority species, and to manage pathways to prevent the introduction and establishment of new IAS; it applies to species considered of Union concern and subject to formal risk assessment. So far, 49 species have been listed but the criteria for selecting species for risk assessment have not been disclosed and were probably unsystematic. 2. We developed a simple method to systematically rank invasive alien species according to their maximum potential threat to biodiversity in the EU. We identified 1323 species as potential candidates for listing, and evaluated them against their invasion stages and reported impacts, using information from databases and scientific literature. 3. 900 species fitted the criteria for listing according to IAS Regulation. We prioritised 207 species for urgent risk assessment, 59 by 2018 and 148 by 2020, based on their potential to permanently damage native species or ecosystems; another 336 species were identified for a second phase (by 2025), to prevent or reverse their profound impacts on biodiversity; and a further 357 species for assessment by 2030. 4. Policy implications. We propose a systematic, proactive approach to selecting and prioritising invasive alien species for risk assessment to assist European Union policy implementation. We assess an unprecedented number of species with potential to harm EU biodiversity using simple methodology that we developed, and recommend which species should be considered for risk assessment in a ranked order of priority along the timeline 2018-2030, based on their maximum reported impact and their invasion history in Europe.
Data from: Increased accuracy of species lists developed for alpine lakes using morphology and cytochrome oxidase I for identification of specimens
The first step in many community ecology studies is to produce a species list from a sample of individuals. Community ecologists now have two viable ways of producing a species list: morphological and barcode identification. In this study, we compared the taxonomic resolution gained by a combined use of both methods and tested whether a change in taxonomic resolution significantly impacted richness estimates for benthic macroinvertebrates sampled from ten lakes in Sequoia National Park, USA. Across all lakes, 77 unique taxa were identified and 42% (32) were reliably identified to species using both barcode and morphological identification. Of the 32 identified to species, 63% (20) were identified solely by comparing the barcode sequence from cytochrome oxidase I to the Barcode of Life reference library. The increased resolution using a combined identification approach compared to identifications based solely on morphology resulted in a significant increase in estimated richness within a lake at the order, family, genus and species levels of taxonomy (P < 0.05). Additionally, young or damaged individuals that could not be identified using morphology were identified using their COI sequences to the genus or species level on average 75% of the time. Our results demonstrate that a combined identification approach improves accuracy of benthic macroinvertebrate species lists in alpine lakes and subsequent estimates of richness. We encourage the use of barcodes for identification purposes and specifically when morphology is insufficient, as in the case of damaged and early life stage specimens of benthic macroinvertebrates.
Data from: Species' traits explain differences in Red list status and long-term population trends in longhorn beetles
Some species are more likely to go extinct than others and this is partially due to species' traits. Therefore, it is important to establish links between traits and extinction risks. Different aspects of a species' biology also relates to different sources of threat, such as fragmented populations or low population growth rate. In a comparative study of Swedish longhorn beetles (Coleoptera: Cerambycidae), we related species' traits to two aspects of extinction risk – population decline and small/fragmented populations – measured by long-term population trends and IUCN Red list classifications. Trait relationships were analysed with generalized linear models and multi-model inference. We found that extinction risk generally increased with longer generation times, corresponding to slower life histories. Adult activity period was also related to both metrics of extinction risk, but in different ways. We also found that extinction risk increased with larval host plant specialization, but only for Red list classification. Large body size was related to increased Red list classification in species overwintering as adults, and overwintering stage also structured the effects of several other traits. Our results show that both intrinsic demographic traits and ecological traits affect extinction risks, and also suggest that risks are shaped by multiple mechanisms. Therefore, researchers should carefully choose their metric of extinction risk for comparative studies, as the Red list classification may best capture current risk, whereas population trends can be used more proactively but may reflect historical relationships between traits and extinction risk.
FIGURE 6. a in An illustrated annotated check-list of the species of Catasticta (s. l.) Butler (Lepidoptera: Pieridae) of Venezuela
FIGURE 6. a: Catasticta philais borgesi male (dorsal): Venezuela, Estado Táchira, El Reposo, 2100 m, 04.I.2001, in MCCV; b: Catasticta philais borgesi male (ventral): same data as a; c: Catasticta philoscia philoscia male (dorsal): Venezuela, Estado Mérida, Mt. Zerpa, m. 1800, 24.V.89, in MBLI; d: Catasticta philoscia philoscia male (ventral): same data as c; e: Catasticta philoscia philoscia female (dorsal): Venezuela, Estado Mérida, Río Albarregas, Monte Zerpa, 2100 m, 26-IX-1997, in AOMV; f: Catasticta philoscia reyi ssp. nov. HT (dorsal); g: Catasticta philoscia reyi ssp. nov. HT (ventral); h: Catasticta philoscia reyi ssp. nov. PT male (dorsal): Venezuela, Táchira, La Pesa, San Vicente de la Revancha, 2350 m, 28-XI al 3-XII-1997, J. DeMarmels, J.L.García, A. Chacón, in MIZA
FIGURE 11. a in An illustrated annotated check-list of the species of Catasticta (s. l.) Butler (Lepidoptera: Pieridae) of Venezuela
FIGURE 11. a: Catasticta cinerea suprema male (dorsal): Venezuela, Estado Táchira, Taburete, Páramo La Revancha, m. 2800, III.04, in MBLI; b: Catasticta cinerea suprema male (ventral): same data as a; c: Catasticta cinerea suprema female (dorsal): Venezuela, Estado Táchira, Taburete, Páramo La Revancha, m. 2800, I.04, in MCCV; d: Catasticta rochereaui rochereaui male (dorsal): Venezuela, Estado Táchira, Fundo Piedras Blancas, Páramo La Revancha, m. 2350, VIII.03, in MBLI; e: Catasticta rochereaui rochereaui male (ventral): same data as d; f: Catasticta rochereaui rochereaui female (dorsal): Venezuela, Estado Táchira, Fundo Piedras Blancas, Páramo La Revancha, m. 2300, 16.III.2004, in MCCV; g: Catasticta uricoecheae inopa male (dorsal): Venezuela, Estado Táchira, Taburete, Páramo La Revancha, m. 2800, I-II.04, in MBLI; h: Catasticta uricoecheae inopa male (ventral): same data as g; i: Catasticta uricoecheae inopa female (dorsal): Venezuela, Estado Táchira, Taburete, Páramo La Revancha, m. 2800, I.04, in MCCV; j: Catasticta tricolor tomasi male HT (dorsal): Venezuela, P.N. El Tama, Páramo Tama, 3100-3300, 17.04.1996, in MIZA; k: Catasticta tricolor tomasi male HT (ventral): same data as j; l: Catasticta tricolor cf. tomasi male (dorsal): Perijà El Peñasco, cerca a la base del Cerro Tetari, Frontera Venezuela-Colombia, 31-X-1989, Angel Viloria col., Alt.: 3300 m., in UZMC
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.