Sabtu, 29 Oktober 2016

Kucing Hutan

Kucing Hutan
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 
 Kucing Hutan adalah sebutan untuk kucing liar yang hidup di hutan. Ada beberapa Jenis Kucing Hutan Di Indonesia dan penyebarannya di hutan kalimantan, hutan sumatera dan jawa. Kucing Hutan mencakup beberapa jenis kucing berukuran besar dan kecil tetapi tidak mencakup kucing yang hidup di gurun atau padang rumput dan kucing liar yang ada di sekitar lingkungan. Beberapa diantaranya termasuk kucing yang hampir punah dan keberadaanya dilindungi untuk mencegah kepunahan dari jenis kucing ini.
  Di Indonesia, Macan Dahan Benua dapat di temui di Pulau Kalimantan dan Pula Sumatera, sejak tahun 2006 spesies ini tidak lagi dianggap satu spesies dengan Macan Dahan benua dan dimasukkan kedalam spesies Neofelis diardi.
 Macan dahan adalah hewan nokturnal yang aktif berburu di malam hari. Hewan ini banyak menghabiskan waktunya di atas pohon dan dapat bergerak dengan lincah di antara pepohonan agar mudah mencari mangsa. Mangsa dari Macan Dahan antara lain aneka satwa liar berbagai ukuran seperti kera, ular, mamalia kecil, burung, rusa dan bekantan.

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