2007takamura_01-01

6
はじめに メダカ(Oryzias latipes)は日本列島本州以南からアジ ア大陸中国中部・南部および台湾島にかけて自然分布し ている。その生息環境はイネの水田耕作と密接に結びつ いて広がったと考えられている(小澤 2000)。しかし、 近年は水田の宅地などへの転用や水田耕作のための水利 灌漑方式の変更により生息場所の広がりが制限されると ともに、一方で地域によっては衛生上の目的でカダヤシ Gambusia affinis)といった競合種が導入された。その 結果著しい分布縮小が生じ、日本国内では 1999 年に環 境省レッドリストに加えられ、絶滅危惧種(絶滅危惧Ⅱ 類)に指定された(環境省生物多様性情報システム、絶 滅危惧種情報検索、汽水・淡水魚類.http://www.biodic. go.jp/rdb/rdb_f.html2007 7 13 日確認;環境省野生 生物課 2003)。したがって、その生息域や生息適地の変 112 305-8506 つくば市小野川 16-2 独立行政法人国立環境研究所生物圏環境研究領域 Environmental Biology Division, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba 305-8506, Japan e-mail: [email protected] 2007 7 26 日受付、2007 9 14 日受理 保全生態学研究 (Japanese Journal of Conservation Ecology) 12 : 112-117 (2007) 分布確認地点にもとづくメダカ生息適地推定 高村 健二 独立行政法人国立環境研究所生物圏環境研究領域 Prediction of habitat suitability for medaka Oryzias latipes based on presence data Kenzi Takamura Environmental Biology Division, National Institute for Environmental Studies 要旨:1960 年代後半の茨城県南部におけるメダカ生息適地を生息確認地点情報だけにもとづいて推定した。土地利 用を環境変数として多変量解析によりメダカ生息好適度を推定した結果、水田および市街地の存在が生息好適度を 増す方向に働いていた。畑地・二次草地・松林の分布も推定に寄与した。推定の信頼度を交差検定により確かめた 結果、推定地域における好適度と生息確認地点相対出現頻度との間には正の相関が認められ、推定結果に信頼性の あることが確認された。近年は圃場整備によって水田域が生息に不適となっている可能性があり、また生息地減少 によって生息情報が得にくくなっているため、現在の生息適地推定にはそれらの地理情報の充実が必要であると考 えられる。 キーワード:メダカ、生息好適度、生息適地推定、GIS、生息確認地点 Abstract: Habitat suitability for medaka, Oryzias latipes, was predicted based on presence data for southern Ibaraki Prefecture, Japan, in the late 1960s. Land use on maps was used as an environmental variable for describing the niche of medaka. A multivariate analysis showed that the distribution of rice fields delineated the niche most strongly in a positive way. The distribution of urban areas was the second strongest variable, and also had a positive effect. Cropland, secondary grassland, and pine forest were also used in the niche description. A cross-validation test indicated that the prediction was reliable, as there was a significant correlation between the habitat suitability and the relative frequency of presence data among grids of each class of habitat. Given that a large area of rice fields has been altered, to allow mechanical cultivation, in such a way that medaka habitat has been destroyed, and the present distribution of medaka is limited and difficult to determine, the collection of such geographical information is encouraged in order to construct a present habitat suitability map for medaka. Key Words: Oryzias latipes, Habitat suitability, Habitat prediction, GIS, Presence data

Upload: qpramukanto

Post on 13-Sep-2015

215 views

Category:

Documents


0 download

DESCRIPTION

2007takamura_01-01

TRANSCRIPT

  • 112

    Oryzias latipes

    2000

    Gambusia affinis

    1999

    http://www.biodic.

    go.jp/rdb/rdb_f.html2007713

    2003

    112

    305-8506 16-2Environmental Biology Division, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba 305-8506, Japane-mail: [email protected] 7 262007 9 14

    (Japanese Journal of Conservation Ecology) 12 : 112-117 (2007)

    Prediction of habitat suitability for medaka Oryzias latipes based on presence data

    Kenzi Takamura

    Environmental Biology Division, National Institute for Environmental Studies

    1960

    GIS

    Abstract: Habitat suitability for medaka, Oryzias latipes, was predicted based on presence data for southern Ibaraki Prefecture,

    Japan, in the late 1960s. Land use on maps was used as an environmental variable for describing the niche of medaka. A

    multivariate analysis showed that the distribution of rice fields delineated the niche most strongly in a positive way. The

    distribution of urban areas was the second strongest variable, and also had a positive effect. Cropland, secondary grassland, and

    pine forest were also used in the niche description. A cross-validation test indicated that the prediction was reliable, as there was

    a significant correlation between the habitat suitability and the relative frequency of presence data among grids of each class

    of habitat. Given that a large area of rice fields has been altered, to allow mechanical cultivation, in such a way that medaka

    habitat has been destroyed, and the present distribution of medaka is limited and difficult to determine, the collection of such

    geographical information is encouraged in order to construct a present habitat suitability map for medaka.

    Key Words: Oryzias latipes, Habitat suitability, Habitat prediction, GIS, Presence data

  • 113

    Geographical Information System: GIS

    2002Iguchi et al. 2004

    GIS

    GARPStockwell and Noble

    1992

    1

    23

    1

    19741970

    71

    2002

    1960

    1970

    1960

    1960

    1974

    1

    1974

    ER MapperEarth Resource Mapping Ltd.

    GIS

    GIS

    2002

    5

  • 114

    19641970

    1960, 1964, 1971

    ecological niche factor analysis

    BiomapperHirzel et al. 2002

    86

    UTMUniversal Transverse

    Mercator System:

    400 m

    12

    GIS

    ArcView 3.1Environmental Systems Research

    Institute: ESRIBiomapperArcView

    ArcViewGrid ConverterSchauble

    http://www.terracs.de./2007713

    IdrisiClark Labs, Clark

    University

    Biomapper

    Box-Cox

    2

    11972, 73 197419942 7.5 5 10 km10

    2 1960abc 10

  • 115

    10

    n

    n

    marginality

    marginality(ms - mG)/1.96dG

    mdsG

    specialization

    specializationdG /ds

    1

    12

    80

    Hirzel et al.2002

    10

    0

    Biomapper

    Biomapper

    x

    x-11

    Spearman-

    rank23

    1

    1010

    R version 2.2.0.The R Foundation

    for Statistical ComputingVienna University of Technology,

    Vienna. http://www.R-project.org2007713

    Friedman

    1994

    5 m

    50 m

    3

    marginality1

    611

    0.8310.545

    12-0.929

    3

    1

    23

  • 116

    1

    410

    10

    Friedman29 24.3895P 0.0037

    1

    19947

    11960

    1553.57

    1994

    1960

    1994

    30

    1

    2000 2003 2005

    20052 20053

    2003

    11961

    1989

    19653.2200260.1

    2004200374

    2005

    1997

    3 1960 5

    1 1 3

    1 2 3 .831 -.230 .402 .545 .214 -.501 -.094 -.929 .113 -.053 .155 .644 -.040 .118 .400

    61 13 11

    4 10

  • 117

    1994

    10 km

    http://homepage3.nifty.com/medaka-satooya/

    2007713

    20012005

    F-119992001

    (1997) . 9:69-77 (2005) . ,

    Hirzel AH, Hausser J, Chessel D, Perrin N (2002) Ecological-niche factor analysis: how to compute habitat-suitability maps without absence data? Ecology 83:2027-2036 (2003) 4 []. , (2005) . , http://www.kanto.maff.go.jp/toukei/noutiriyousyuuseki/noutiriyousyuuseki.htm (2005) . ( ) . ,

    Iguchi K, Matsuura K, McNyset KM, Peterson AT, Scachetti-Pereira R, Powers KA, Vieglais DA, Wiley EO, Yodo T (2004) Predicting invasions of North American Basses in Japan using native range data and a genetic algorithm. Trans Am Fish Soc 133:845-854 (2004) . http://www.maff.go.jp/www/counsil/counsil_cont/nouson_sinkou/160205syo_iin/siryo4_2.pdf (2000) . (2003) . () .

    Stockwell DRB, Noble IR (1992) Induction of sets of rules from animal distribution data: A robust and informative method of analysis. Math Comp Sim 33:385-390 () (2002) . F-1. , (1974) . 25:285-288