Spatio-Temporal Modeling of Land and Pasture Vulnerability in Dairy Basins in Northeastern Brazil

Author:

Silva Jéssica Bruna Alves da1ORCID,de Almeida Gledson Luiz Pontes1ORCID,da Silva Marcos Vinícius2ORCID,de Oliveira-Júnior José Francisco34ORCID,Pandorfi Héliton1ORCID,Giongo Pedro Rogerio5ORCID,de Almeida Macêdo Gleidiana Amélia Pontes6ORCID,Guiselini Cristiane1,Marinho Gabriel Thales Barboza1ORCID,Bakke Ivonete Alves2,Ferreira Maria Beatriz7

Affiliation:

1. Department of Agricultural Engineering, Federal Rural University of Pernambuco, Dom Manoel de Medeiros Avenue, SN, Dois Irmãos, Recife CEP 52171900, Pernambuco, Brazil

2. Postgraduate Program in Forest Sciences, Federal University of Campina Grande, Santa Cecília, Patos CEP 58708110, Paraíba, Brazil

3. Institute of Atmospheric Sciences, Federal University of Alagoas, Maceió CEP 57072260, Alagoas, Brazil

4. Postgraduate Program in Architecture and Urbanism, Federal University of Alagoas, Maceió CEP 57072260, Alagoas, Brazil

5. Department of Agricultural Engineering, State University of Goiás, Via Protestato Joaquim Bueno, 945, Perímetro Urbano, Santa Helena de Goiás CEP 75920000, Goiás, Brazil

6. Department of Zootecnia, Federal Rural University of Pernambuco, Recife CEP 52171900, Pernambuco, Brazil

7. Department of Forest Science, Federal Rural University of Pernambuco (UFRPE), Recife CEP 52171900, Pernambuco, Brazil

Abstract

The objective of this study is to evaluate the spatio-temporal dynamics of land vulnerability and pasture areas in the dairy basins of the states of Pernambuco and Alagoas, which are part of the Ipanema River Watershed (IRW) in the Northeast Region of Brazil. Maps of the Land Use and Land Cover (LULC); the Index of Vulnerability to Degradation (IVD); the Land Vulnerability Index (LVI); time series of Effective Herd (EH), Milked Cows (MC), and Milk Production (MP); and Pasture Cover (PC) and Quality (PCQ) were created as parameters. An opposite pattern was observed between the land use classes of Livestock, Agriculture, and Forest. The IRW area has predominantly flat terrain with a very high risk of degradation. The analysis of MC was consistent with the information from the EH analysis as well as with MP. When assessing Pasture Quality, Severe Degradation areas increased from 2010 to 2014, decreased after 2015, and rose again in 2020. Moderate Degradation areas remained high, while Not Degraded pasture areas were consistently the lowest from 2012 to 2020. Over the 10 years analyzed (2010–2020), the area showed a strong degradation process, with the loss of approximately 16% of the native vegetation of the Caatinga Biome and an increase in pasture areas and land vulnerability.

Publisher

MDPI AG

Reference103 articles.

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