Toward a Conceptual Framework for Blending Social and Biophysical Attributes in Conservation Planning: A Case-Study of Privately-Conserved Lands |
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Authors: | Lorena Pasquini Chasca Twyman John Wainwright |
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Institution: | (1) Department of Geography, University of Sheffield, Winter Street, Sheffield, S10 2TN, UK;(2) Department of Botany, Nelson Mandela Metropolitan University, P.O. Box 77000, Port Elizabeth, 6031, South Africa;(3) Present address: 32 Mile End Rd, Diep River, Cape Town, 7945, South Africa;(4) Sheffield Centre for International Drylands Research, Department of Geography, University of Sheffield, Winter Street, Sheffield, S10 2TN, UK |
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Abstract: | There has been increasing recognition within systematic conservation planning of the need to include social data alongside
biophysical assessments. However, in the approaches to identify potential conservation sites, there remains much room for
improvement in the treatment of social data. In particular, few rigorous methods to account for the diversity of less-easily
quantifiable social attributes that influence the implementation success of conservation sites (such as willingness to conserve)
have been developed. We use a case-study analysis of private conservation areas within the Little Karoo, South Africa, as
a practical example of the importance of incorporating social data into the process of selecting potential conservation sites
to improve their implementation likelihood. We draw on extensive data on the social attributes of our case study obtained
from a combination of survey questionnaires and semi-structured interviews. We discuss the need to determine the social attributes
that are important for achieving the chosen implementation strategy by offering four tested examples of important social attributes
in the Little Karoo: the willingness of landowners to take part in a stewardship arrangement, their willingness to conserve,
their capacity to conserve, and the social capital among private conservation area owners. We then discuss the process of
using an implementation likelihood ratio (derived from a combined measure of the social attributes) to assist the choice of
potential conservation sites. We conclude by summarizing our discussion into a simple conceptual framework for identifying
biophysically-valuable sites which possess a high likelihood that the desired implementation strategy will be realized on
them. |
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