2 datasets found
  1. Dataset for density estimation for an island population of raccoon dogs in...

    • zenodo.org
    • explore.openaire.eu
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    bin
    Updated Jul 27, 2023
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    Kotaro Kubo; Hideharu Tsukada; Masato Minami; Minoru Hashimoto; Kaede Abe; Kaoru Nagasaki; Ayano Shinohara; Runa Doi; Mizuki Aoki; Eiji Inoue; Eiji Inoue; Kotaro Kubo; Hideharu Tsukada; Masato Minami; Minoru Hashimoto; Kaede Abe; Kaoru Nagasaki; Ayano Shinohara; Runa Doi; Mizuki Aoki (2023). Dataset for density estimation for an island population of raccoon dogs in Japan [Dataset]. http://doi.org/10.5061/dryad.612jm6489
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    binAvailable download formats
    Dataset updated
    Jul 27, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Kotaro Kubo; Hideharu Tsukada; Masato Minami; Minoru Hashimoto; Kaede Abe; Kaoru Nagasaki; Ayano Shinohara; Runa Doi; Mizuki Aoki; Eiji Inoue; Eiji Inoue; Kotaro Kubo; Hideharu Tsukada; Masato Minami; Minoru Hashimoto; Kaede Abe; Kaoru Nagasaki; Ayano Shinohara; Runa Doi; Mizuki Aoki
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Japan
    Description

    Estimation of the population size is essential for understanding population dynamics. Estimating animal density using multiple methods and/or multiple attempts is required for accurate estimations. Raccoon dog (Nyctereutes procyonoides) is native to East Asia, including Japan, and has become an invasive species in Europe. Information on raccoon dog density in their native range is important to understand their invasion; however, relatively few studies have been conducted on raccoon dog density in their native range. In this study, we extracted DNA from fecal samples of raccoon dogs inhabiting a small island in Japan and conducted density estimation over two periods using DNA capture-recapture methods: CAPWIRE and SECR. We also investigated sex ratio using genetic sex identification. Density estimates using SECR were approximately threefold different between the two study periods: 17.2 individuals per km2 in 2018 and 49.0 individuals per km2 in 2020. In contrast, estimates using CAPWIRE were relatively stable: 21.7 individuals per km2 in 2018 and 24.3 individuals per km2 in 2020. A drastic increase or decrease is not expected during the study period, and thus, density estimates using CAPWIRE are more reasonable than those using SECR. The small number of samples per individual might result in low accuracy of density estimates by SECR. The density estimated by CAPWIRE was similar to that in the main island in Japan and higher than that in Europe. Feeding competition with other omnivorous carnivores and/or predation risk by wolves might maintain the low density in Europe. The sex ratio of raccoon dogs was 1:1, which was similar to the values in invasive raccoon dogs and other canids. Further genetic census, including sex identification in various landscapes in their native and invasive range, will enable us to understand not only the ecology of raccoon dogs but also their adaptations to their invading areas.

  2. Data Confrontation Seminar, 1969: Comparative Socio-Political Data

    • icpsr.umich.edu
    ascii
    Updated Jan 12, 2006
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    Data Confrontation Seminar, 1969: Comparative Socio-Political Data [Dataset]. https://www.icpsr.umich.edu/web/ICPSR/studies/38/export
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    asciiAvailable download formats
    Dataset updated
    Jan 12, 2006
    Dataset authored and provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/38/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/38/terms

    Time period covered
    1969
    Area covered
    India, Germany, Japan, Netherlands, France, Poland, Sweden, Norway, Global, Denmark
    Description

    This study contains selected electoral and demographic national data for nine nations in the 1950s and 1960s. The data were prepared for the Data Confrontation Seminar on the Use of Ecological Data in Comparative Cross-National Research held under the auspices of the Inter-university Consortium for Political and Social Research on April 1-18, 1969. One of the primary concerns of this international seminar was the need for cooperation in the development of data resources in order to facilitate exchange of data among individual scholars and research groups. Election returns for two or more national and/or local elections are provided for each of the nine nations, as well as ecological materials for at least two time points in the general period of the 1950s and 1960s. While each dataset was received at a single level of aggregation, the data have been further aggregated to at least a second level of aggregation. In most cases, the data can be supplied at the commune or municipality level and at the province or district level as well. Part 1 (Germany, Regierungsbezirke), Part 2 (Germany, Kreise), Part 3 (Germany, Lander), and Part 4 (Germany, Wahlkreise) contain data for all kreise, laender (states), administrative districts, and electoral districts for national elections in the period 1957-1969, and for state elections in the period 1946-1969, and ecological data from 1951 and 1961. Part 5 (France, Canton), and Part 6 (France, Departemente) contain data for the cantons and departements of two regions of France (West and Central) for the national elections of 1956, 1962, and 1967, and ecological data for the years 1954 and 1962. Data are provided for election returns for selected parties: Communist, Socialist, Radical, Federation de Gauche, and the Fifth Republic. Included are raw votes and percentage of total votes for each party. Ecological data provide information on total population, proportion of total population in rural areas, agriculture, industry, labor force, and middle class in 1954, as well as urbanization, crime rates, vital statistics, migration, housing, and the index of "comforts." Part 7 (Japan, Kanagawa Prefecture), Part 8 (Japan, House of Representatives Time Series), Part 9 (Japan, House of (Councilors (Time Series)), and Part 10 (Japan, Prefecture) contain data for the 46 prefectures for 15 national elections between 1949 and 1968, including data for all communities in the prefecture of Kanagawa for 13 national elections, returns for 8 House of Representatives' elections, 7 House of Councilors' elections, descriptive data from 4 national censuses, and ecological data for 1950, 1955, 1960, and 1965. Data are provided for total number of electorate, voters, valid votes, and votes cast by such groups as the Jiyu, Minshu, Kokkyo, Minji, Shakai, Kyosan, and Mushozoku for the Communist, Socialist, Conservative, Komei, and Independent parties for all the 46 prefectures. Population characteristics include age, sex, employment, marriage and divorce rates, total number of live births, deaths, households, suicides, Shintoists, Buddhists, and Christians, and labor union members, news media subscriptions, savings rate, and population density. Part 11 (India, Administrative Districts) and Part 12 (India, State) contain data for all administrative districts and all states and union territories for the national and state elections in 1952, 1957, 1962, 1965, and 1967, the 1958 legislative election, and ecological data from the national censuses of 1951 and 1961. Data are provided for total number of votes cast for the Congress, Communist, Jan Sangh, Kisan Mazdoor Praja, Socialist, Republican, Regional, and other parties, contesting candidates, electorate, valid votes, and the percentage of valid votes cast. Also included are votes cast for the Rightist, Christian Democratic, Center, Socialist, and Communist parties in the 1958 legislative election. Ecological data include total population, urban population, sex distribution, occupation, economically active population, education, literate population, and number of Buddhists, Christians, Hindus, Jainis, Moslems, Sikhs, and other religious groups. Part 13 (Norway, Province), and Part 14 (Norway, Commune) consist of the returns for four national elections in 1949, 1953, 1957, and 1961, and descriptive data from two national censuses. Data are provided for the total number

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Kotaro Kubo; Hideharu Tsukada; Masato Minami; Minoru Hashimoto; Kaede Abe; Kaoru Nagasaki; Ayano Shinohara; Runa Doi; Mizuki Aoki; Eiji Inoue; Eiji Inoue; Kotaro Kubo; Hideharu Tsukada; Masato Minami; Minoru Hashimoto; Kaede Abe; Kaoru Nagasaki; Ayano Shinohara; Runa Doi; Mizuki Aoki (2023). Dataset for density estimation for an island population of raccoon dogs in Japan [Dataset]. http://doi.org/10.5061/dryad.612jm6489
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Dataset for density estimation for an island population of raccoon dogs in Japan

Explore at:
2 scholarly articles cite this dataset (View in Google Scholar)
binAvailable download formats
Dataset updated
Jul 27, 2023
Dataset provided by
Zenodohttp://zenodo.org/
Authors
Kotaro Kubo; Hideharu Tsukada; Masato Minami; Minoru Hashimoto; Kaede Abe; Kaoru Nagasaki; Ayano Shinohara; Runa Doi; Mizuki Aoki; Eiji Inoue; Eiji Inoue; Kotaro Kubo; Hideharu Tsukada; Masato Minami; Minoru Hashimoto; Kaede Abe; Kaoru Nagasaki; Ayano Shinohara; Runa Doi; Mizuki Aoki
License

CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically

Area covered
Japan
Description

Estimation of the population size is essential for understanding population dynamics. Estimating animal density using multiple methods and/or multiple attempts is required for accurate estimations. Raccoon dog (Nyctereutes procyonoides) is native to East Asia, including Japan, and has become an invasive species in Europe. Information on raccoon dog density in their native range is important to understand their invasion; however, relatively few studies have been conducted on raccoon dog density in their native range. In this study, we extracted DNA from fecal samples of raccoon dogs inhabiting a small island in Japan and conducted density estimation over two periods using DNA capture-recapture methods: CAPWIRE and SECR. We also investigated sex ratio using genetic sex identification. Density estimates using SECR were approximately threefold different between the two study periods: 17.2 individuals per km2 in 2018 and 49.0 individuals per km2 in 2020. In contrast, estimates using CAPWIRE were relatively stable: 21.7 individuals per km2 in 2018 and 24.3 individuals per km2 in 2020. A drastic increase or decrease is not expected during the study period, and thus, density estimates using CAPWIRE are more reasonable than those using SECR. The small number of samples per individual might result in low accuracy of density estimates by SECR. The density estimated by CAPWIRE was similar to that in the main island in Japan and higher than that in Europe. Feeding competition with other omnivorous carnivores and/or predation risk by wolves might maintain the low density in Europe. The sex ratio of raccoon dogs was 1:1, which was similar to the values in invasive raccoon dogs and other canids. Further genetic census, including sex identification in various landscapes in their native and invasive range, will enable us to understand not only the ecology of raccoon dogs but also their adaptations to their invading areas.

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