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

João Pompeu, Luciana Soler and Jean Ometto
Additional contact information
João Pompeu: Earth System Science Centre/National Institute for Space Research (CCST/INPE), Avenida dos Astronautas, São José dos Campos 12227-600, Brazil
Luciana Soler: Earth System Science Centre/National Institute for Space Research (CCST/INPE), Avenida dos Astronautas, São José dos Campos 12227-600, Brazil
Jean Ometto: Earth System Science Centre/National Institute for Space Research (CCST/INPE), Avenida dos Astronautas, São José dos Campos 12227-600, Brazil

Land, 2018, vol. 7, issue 3, 1-19

Abstract: 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.

Keywords: geographically weighted regression; LISA map; spatial analysis; agriculture; food security; biodiversity (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2073-445X/7/3/88/pdf (application/pdf)
https://www.mdpi.com/2073-445X/7/3/88/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:7:y:2018:i:3:p:88-:d:159217

Access Statistics for this article

Land is currently edited by Ms. Carol Ma

More articles in Land from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().