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Human attitudes towards the conservation of protected areas: a case study from four protected areas in Bangladesh

Published online by Cambridge University Press:  02 August 2011

A. H. M. R. Sarker
Affiliation:
Department of Biology, Norwegian University of Science and Technology, Realfagbygget, Trondheim, Norway.
E. Røskaft*
Affiliation:
Department of Biology, Norwegian University of Science and Technology, Realfagbygget, Trondheim, Norway.
*
*Department of Biology, Norwegian University of Science and Technology, Realfagbygget, Trondheim, Norway. E-mail roskaft@bio.ntnu.no
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Abstract

This study was based on interviews with 388 randomly selected households living near four protected areas in northern and south-eastern Bangladesh: Chunati Wildlife Sanctuary, Teknaf Game Reserve and two forest reserves. The respondents were generally poor and their perception of conservation varied across the study areas. Respondents were generally reluctant to embrace conservation and their attitude towards the conservation of protected areas depended on a set of demographic and socio-economic factors. People in northern Bangladesh had somewhat more positive attitudes towards conservation than those in the south-east. The two most important variables explaining respondents’ attitudes towards conservation were the distance they lived from protected areas and their monthly income. People who are poor and who live closer to the protected areas disliked the conservation measures most.

Information

Type
Protected areas and related matters
Copyright
Copyright © Fauna & Flora International 2011
Figure 0

Fig. 1 The locations in Bangladesh of the four protected areas around which the attitudes of people towards conservation were studied.

Figure 1

Table 1 Summary description of the four protected areas (Fig. 1), and socio-economic data for the villages and villagers in the vicinity.

Figure 2

Table 2 Demographic and socio-economic data (12 variables in all), obtained from and during interviews (see text for details), for 388 households around the four protected areas (Table 1, Fig. 1) with χ2 tests of independence between the four areas. See text for the definition of non-farmer.

Figure 3

Table 3 Percentage of respondents listing at least one benefit related to firewood and timber extraction, financial incentives and a healthy environment (see text for details) from each of the four protected areas (Table 1, Fig 1), and χ2 tests of independence between the four areas.

Figure 4

Table 4 Results of logistic regression analyses to examine the effects of 13 independent variables (see text for details and Table 2) on three perceived benefits of conservation: timber and firewood extraction, financial incentives, and a healthy environment. Only the independent variables making a significant contribution are shown.

Figure 5

Table 5 Percentage of respondents listing at least one problem related to crop raiding by wildlife, destruction of homes by wild elephants and fear of evening elephant attacks for each of the four protected areas (Table 1, Fig 1), and χ2 tests of independence between the four areas.

Figure 6

Table 6 Results of logistic regression analyses to examine the effects of 13 independent variables (see text for details and Table 2) on three perceived problems related to conservation: crop raiding by wildlife, destruction of homes by wild elephants and fear of evening elephant attacks. Only the independent variables making a significant contribution are shown.

Figure 7

Table 7 Percentage of respondents favouring or disfavouring protected area conservation in terms of the benefits and problems with respect to their nearest protected area, for each of the four protected areas (Table 1, Fig 1), and χ2 tests of independence between the four areas.

Figure 8

Table 8 Results of a logistic regression analysis showing the effects of 13 independent variables (see text for details and Table 2) on attitudes (favour or disfavour) towards conservation programmes in terms of the benefits and problems from the protected areas. Only the independent variables making a significant contribution are shown.

Supplementary material: PDF

Sarker supplementary material

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