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Library Modelling Land Sharing and Land Sparing Relationship with Rural Population in the Cerrado

Modelling Land Sharing and Land Sparing Relationship with Rural Population in the Cerrado

Modelling Land Sharing and Land Sparing Relationship with Rural Population in the Cerrado
Volume 7 Issue 3

Resource information

Date of publication
September 2018
Resource Language
ISBN / Resource ID
10.3390/land7030088
License of the resource

Agricultural expansion and intensification enabled growth of food production but resulted in serious environmental changes. In light of that, debates concerning sustainability in agriculture arises on scientific literature. Land sharing and land sparing are two opposite models for framing agricultural sustainability. The first aims to integrate agricultural activities with biodiversity conservation by means of enhancing the quality of the agricultural matrix in the landscape towards a wildlife friendly matrix. The other model aims to spare natural habitats from agriculture for conservation. This work aimed to explore spatial evidences of land sharing/sparing and its relationship with rural population in the Brazilian Cerrado. A Land Sharing/Sparing Index based on TerraClass Cerrado map was proposed. Spatial analysis based on Global and Local Moran statistics and Geographically Weighted Regression were made in order to explore the influence of local rural population on the probability of spatial land sharing/sparing clusters occurrence. Spatial patterns of land sharing were found in the Cerrado and a positive association with rural population was found in some regions, such as in its northern portion. Land use policies should consider regional infrastructural and participative governance potentialities. The results suggests possible areas where joint agricultural activities and human presence may be favourable for biodiversity conservation.

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Authors and Publishers

Author(s), editor(s), contributor(s)

Pompeu, João
Soler, Luciana
Ometto, Jean

Publisher(s)
Data Provider
Geographical focus