Integrated crop-livestock (ICL) systems combine livestock and crop production in the same area, increasing the efficiency of land use and machinery, while mitigating greenhouse gas emissions, and reducing production risks, plant diseases and pests. ICL systems are primarily divided into annual (ICLa) and multi-annual (ICLm) systems. Projects such as the “Integrated crop-livestock-forest Network” and the “Livestock Rally” have estimated the ICL areas for Brazil on a state or regional basis. However, it remains necessary to create methods for spatial identification of ICL areas. Thus, we developed a framework for mapping ICL areas in Mato Grosso, Brazil using the Enhanced Vegetation Index time-series of Moderate Resolution Imaging Spectroradiometer and a Time-Weighted Dynamic Time Warping (TWDTW) classification method. The classification of ICL areas occurred in three phases. Phase 1 corresponded to the classification of land use from 2008 to 2016. In Phase 2, the ICLa areas were identified. Finally, Phase 3 corresponded to the ICLm identification. The framework showed overall accuracies of 86% and 92% for ICL areas. ICLm accounted for 87% of the ICL areas. Considering only agricultural areas or only pasture areas, ICL systems represented 5% and 15%, respectively.
A pecuária no território paraense oferece desafios de planejamento tanto para o estado, quanto para iniciativa privada, com consequências da expansão do rebanho impactando em variáveis econômicas e socioambientais. Este artigo apresenta um estudo sobre projeções de produção de rebanhos e área de cobertura de pastagem utilizando a modelagem ARIMA (AutoRegressive Integrated Moving Average) por meio da abordagem hierárquica. Foi desenvolvido um framework de análise de dados de séries temporais de curto prazo, abrangendo dados referentes ao estado do Pará e suas regiões entre os anos de 1985 e 2021, com projeções até 2026. Os resultados indicam um aumento de 19% de efetivo bovino e 1,5% nas áreas de pastagem do estado do Pará, revelando um aumento de produtividade na região de Marabá, bem como uma estabilização na região de Redenção.
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