Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Being Angelica? Exploring individual animal geographies

Bear, Christopher 2011. Being Angelica? Exploring individual animal geographies. Area 43 (3) , pp. 297-304. 10.1111/j.1475-4762.2011.01019.x

[thumbnail of Being Angelica - post-print transcript.pdf]
Download (631kB) | Preview


This paper extends recent work that has called for greater attention to be paid to nonhuman difference. The burgeoning animal geographies literature has been very successful in dissecting the concept of ‘nature’ and in examining the myriad ways in which animal and human lives are intertwined. However, its focus is more often on collectivities, such as species and herds, than on individual animals. Through the brief case study of an octopus in The Deep, an aquarium in Kingston-upon-Hull, UK, the paper draws on and develops recently promoted notions of responsible anthropomorphism. It argues that future work might usefully pay greater attention to the lived experience of individual animals, and that further emphasis should be given to non-mammalian life forms. Doing so might not only shed light on these creatures' encounters with humans, but also help to give a greater sense of their lives beyond these direct encounters, challenging understandings of what it means to be ‘animal’.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Geography and Planning (GEOPL)
Subjects: G Geography. Anthropology. Recreation > G Geography (General)
G Geography. Anthropology. Recreation > GE Environmental Sciences
Uncontrolled Keywords: animal geographies; individual animals; anthropomorphism; nonhuman difference; octopus; Kingston-upon-Hull; UK
Publisher: Royal Geographical Society
ISSN: 0004-0894
Last Modified: 07 Nov 2019 09:06

Citation Data

Cited 65 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item


Downloads per month over past year

View more statistics