Peralta Armando Vinicio Paredes, Rivera Santiago Alexander Guamán, Tobar-Ruiz María Gabriela, Sánchez-Salazar Marcelo Eduardo, Oscullo Pablo Danilo Carrera, Ñuste Leonardo Fabio Medina
Universidad Estatal Amazònica, Tena, Ecuador.
Escuela Superior Politécnica de Chimborazo (ESPOCH) Sede Orellana, El Coca, Ecuador.
J Adv Vet Anim Res. 2024 Mar 31;11(1):171-180. doi: 10.5455/javar.2024.k762. eCollection 2024 Mar.
Many studies have observed different characteristics among productive systems in the rural territories of Latin America. Therefore, understanding and characterizing them while they function plays an essential role in determining their relationship between development and environment. A study has been conducted in the Orellana province of NE Ecuador to determine their typology and then classify them according to the variables that describe their main traits or attributes using cluster analysis (CA).
A survey was structured to investigate physical, productive, environmental, as well as socioeconomic character variables, which were subsequently applied to a random sample of the 5,963 agricultural productive units (APUs) through face-to-face contact with producers during an visit to their farms.
The CA allowed us to identify three typologies of APUs in the Orellana Province. The first has been Type 1, which is denominated as the most conventional (40%), while Type 2 uses more efficient natural resources but represents an amount of only 9.4%. In contrast, type 3 (50.6%) depends on a significant part of local or national development programs.
All groups indicated some peculiarities in common, as there were marked differences in the use and distribution of land as well as production methods among them. Consequently, this pioneering study allowed us to identify different production methods. Therefore, we encourage local and national governments to establish policies for natural resource conservation in such high-diversity zones.
许多研究观察到拉丁美洲农村地区生产系统存在不同特征。因此，在这些生产系统运行时对其进行理解和特征描述，对于确定其发展与环境之间的关系至关重要。在厄瓜多尔东北部的奥雷利亚纳省开展了一项研究，以确定其类型学，然后使用聚类分析（CA）根据描述其主要特征或属性的变量对其进行分类。
构建了一项调查，以研究物理、生产、环境以及社会经济特征变量，随后通过在访问农场期间与生产者进行面对面接触，将这些变量应用于5963个农业生产单位（APU）的随机样本。
聚类分析使我们能够识别出奥雷利亚纳省APU的三种类型。第一种是类型1，被称为最传统的类型（40%），而类型2使用更高效的自然资源，但仅占9.4%。相比之下，类型3（50.6%）依赖于地方或国家发展计划的很大一部分。
所有组都有一些共同的特点，因为它们在土地使用和分配以及生产方法上存在显著差异。因此，这项开创性研究使我们能够识别不同的生产方法。因此，我们鼓励地方和国家政府在这种高度多样化的地区制定自然资源保护政策。
