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

被引：0

作者：

da Silva, Jessica Bruna Alves ^{[1
]}

de Almeida, Gledson Luiz Pontes ^{[1
]}

da Silva, Marcos Vinicius ^{[2
]}

de Oliveira, Jose Francisco ^{[3
,4
]}

Pandorfi, Heliton ^{[1
]}

Giongo, Pedro Rogerio ^{[5
]}

Macedo, Gleidiana Amelia Pontes de Almeida ^{[6
]}

Guiselini, Cristiane ^{[1
]}

Marinho, Gabriel Thales Barboza ^{[1
]}

Bakke, Ivonete Alves ^{[2
]}

Ferreira, Maria Beatriz ^{[7
]}

机构：

[1] Univ Fed Rural Pernambuco, Dept Agr Engn, Dom Manoel Medeiros Ave S-N, BR-52171900 Recife, PE, Brazil

[2] Univ Fed Campina Grande, Postgrad Program Forest Sci, BR-58708110 St Cecilia, PB, Brazil

[3] Univ Fed Alagoas, Inst Atmospher Sci, BR-57072260 Maceio, AL, Brazil

[4] Univ Fed Alagoas, Postgrad Program Architecture & Urbanism, BR-57072260 Maceio, AL, Brazil

[5] State Univ Goias, Dept Agr Engn, Via Protestato Joaquim Bueno,945 Perimetro Urbano, BR-75920000 Santa Helena De Goias, Brazil

[6] Univ Fed Rural Pernambuco, Dept Zootecnia, BR-52171900 Recife, PE, Brazil

[7] Fed Rural Univ Pernambuco UFRPE, Dept Forest Sci, BR-52171900 Recife, PE, Brazil

来源：

AGRIENGINEERING | 2024年 / 6卷 / 03期

关键词：

caatinga; land vulnerability; cattle farming; semiarid; pasture quality; CLIMATE-CHANGE; ADAPTATION; SYSTEMS; FOREST;

D O I：

10.3390/agriengineering6030171

中图分类号：

S2 [农业工程];

学科分类号：

0828 ;

摘要：

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.

引用

页码：2970 / 3000

页数：31