{"title":"秘鲁亚马逊河流域不同海拔地区阿拉比卡咖啡农林业系统树种标准化","authors":"Nixon Haro , Gerson Meza-Mori , Jaqueline Llomeli Zuta Lopez , Elí Pariente , Heyton Deyvi Garcia Cruz , Lily Juarez-Contreras , Elver Coronel Castro , Rosalynn Yohanna Rivera Lopez , Manuel Oliva-Cruz","doi":"10.1016/j.tfp.2025.100878","DOIUrl":null,"url":null,"abstract":"<div><div>Coffee is a key crop for the Peruvian economy, and agroforestry systems (AFS) have been promoted as a sustainable strategy for its production. However, the selection of optimal tree species remains a challenge. This study evaluated the impact of different tree species on coffee productivity, sensory quality and edaphic properties in AFS with <em>Coffea arabica L.</em> in the Amazon region, Peru. The research was carried out in three altitudinal levels: low (1200–1500 masl), intermedium (1500–1800 masl) and high (>1800 masl), in plots located in Lonya Grande, Rodriguez de Mendoza, Camporredondo and Pisuquia. Thirty-one species were analyzed in terms of canopy cover provided, pest incidence (<em>Hemileia vastatrix</em> and <em>Hypothenemus hampei</em>), soil characteristics (pH, N, P, K, C) organic matter (O.M), cation exchange capacity (C. E. C), electrical conductivity (E. C) and coffee yield. For the analysis, Random Forest was used to determine the importance of the variables, followed by the TOPSIS method to prioritize the most suitable species at each altitude. At low altitudes, <em>Mespilodaphne quixos</em> and <em>Psidium guajava</em> presented canopy cover of 21 % and 35 %, pH of 6.04 and 5.56, and yields above 80 %. At intermedium altitude, <em>Inga densiflora</em> stood out with 52 % canopy cover, C.E.C of 32 meq/100 g and a yield of 83.25 %. At high altitudes, <em>Inga edulis</em> and <em>Cedrela fissilis</em> provided average canopy cover of 40 % and 56 %, respectively. These species were also associated with soil carbon content above 3 % and cup scores above 82 points. The results ort the identification of key tree species for the implementation of sustainable coffee agroforestry systems, contributing to improve productivity and ecosystem conservation in the Amazon region.</div></div>","PeriodicalId":36104,"journal":{"name":"Trees, Forests and People","volume":"20 ","pages":"Article 100878"},"PeriodicalIF":2.7000,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Standardization of tree species in agroforestry systems of Coffea arabica L. at different altitudes in Amazonas, Peru\",\"authors\":\"Nixon Haro , Gerson Meza-Mori , Jaqueline Llomeli Zuta Lopez , Elí Pariente , Heyton Deyvi Garcia Cruz , Lily Juarez-Contreras , Elver Coronel Castro , Rosalynn Yohanna Rivera Lopez , Manuel Oliva-Cruz\",\"doi\":\"10.1016/j.tfp.2025.100878\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Coffee is a key crop for the Peruvian economy, and agroforestry systems (AFS) have been promoted as a sustainable strategy for its production. However, the selection of optimal tree species remains a challenge. This study evaluated the impact of different tree species on coffee productivity, sensory quality and edaphic properties in AFS with <em>Coffea arabica L.</em> in the Amazon region, Peru. The research was carried out in three altitudinal levels: low (1200–1500 masl), intermedium (1500–1800 masl) and high (>1800 masl), in plots located in Lonya Grande, Rodriguez de Mendoza, Camporredondo and Pisuquia. Thirty-one species were analyzed in terms of canopy cover provided, pest incidence (<em>Hemileia vastatrix</em> and <em>Hypothenemus hampei</em>), soil characteristics (pH, N, P, K, C) organic matter (O.M), cation exchange capacity (C. E. C), electrical conductivity (E. C) and coffee yield. For the analysis, Random Forest was used to determine the importance of the variables, followed by the TOPSIS method to prioritize the most suitable species at each altitude. At low altitudes, <em>Mespilodaphne quixos</em> and <em>Psidium guajava</em> presented canopy cover of 21 % and 35 %, pH of 6.04 and 5.56, and yields above 80 %. At intermedium altitude, <em>Inga densiflora</em> stood out with 52 % canopy cover, C.E.C of 32 meq/100 g and a yield of 83.25 %. At high altitudes, <em>Inga edulis</em> and <em>Cedrela fissilis</em> provided average canopy cover of 40 % and 56 %, respectively. These species were also associated with soil carbon content above 3 % and cup scores above 82 points. The results ort the identification of key tree species for the implementation of sustainable coffee agroforestry systems, contributing to improve productivity and ecosystem conservation in the Amazon region.</div></div>\",\"PeriodicalId\":36104,\"journal\":{\"name\":\"Trees, Forests and People\",\"volume\":\"20 \",\"pages\":\"Article 100878\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2025-05-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Trees, Forests and People\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666719325001049\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"FORESTRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Trees, Forests and People","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666719325001049","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"FORESTRY","Score":null,"Total":0}
引用次数: 0
摘要
咖啡是秘鲁经济的一种主要作物,农林复合系统(AFS)已被推广为其生产的可持续战略。然而,选择最佳树种仍然是一个挑战。本研究评估了不同树种对秘鲁亚马逊地区种植阿拉比卡咖啡(Coffea arabica L.)的咖啡产量、感官品质和土壤特性的影响。研究在Lonya Grande、Rodriguez de Mendoza、Camporredondo和Pisuquia的三个海拔高度进行:低(1200-1500米)、中(1500-1800米)和高(>;1800米)。对31个树种进行了林冠盖度分析、害虫发生情况分析(半叶菊和hampei)、土壤特征(pH、N、P、K、C)、有机质(O.M)、阳离子交换量(c.e.c)、电导率(e.c)和咖啡产量分析。在分析中,采用随机森林法确定各变量的重要性,然后采用TOPSIS法确定各海拔高度最适合的物种。低海拔柽柳和瓜石榴的林冠盖度分别为21%和35%,pH分别为6.04和5.56,产量均在80%以上。在中海拔地区,因加(Inga densiflora)以52%的冠层盖度、32 meq/100 g的cec和83.25%的产量表现突出。在高海拔地区,印加木和裂柏的平均冠层覆盖率分别为40%和56%。土壤含碳量在3%以上,cup分数在82分以上。研究结果有助于确定实施可持续咖啡农林复合系统的关键树种,有助于提高亚马逊地区的生产力和生态系统保护。
Standardization of tree species in agroforestry systems of Coffea arabica L. at different altitudes in Amazonas, Peru
Coffee is a key crop for the Peruvian economy, and agroforestry systems (AFS) have been promoted as a sustainable strategy for its production. However, the selection of optimal tree species remains a challenge. This study evaluated the impact of different tree species on coffee productivity, sensory quality and edaphic properties in AFS with Coffea arabica L. in the Amazon region, Peru. The research was carried out in three altitudinal levels: low (1200–1500 masl), intermedium (1500–1800 masl) and high (>1800 masl), in plots located in Lonya Grande, Rodriguez de Mendoza, Camporredondo and Pisuquia. Thirty-one species were analyzed in terms of canopy cover provided, pest incidence (Hemileia vastatrix and Hypothenemus hampei), soil characteristics (pH, N, P, K, C) organic matter (O.M), cation exchange capacity (C. E. C), electrical conductivity (E. C) and coffee yield. For the analysis, Random Forest was used to determine the importance of the variables, followed by the TOPSIS method to prioritize the most suitable species at each altitude. At low altitudes, Mespilodaphne quixos and Psidium guajava presented canopy cover of 21 % and 35 %, pH of 6.04 and 5.56, and yields above 80 %. At intermedium altitude, Inga densiflora stood out with 52 % canopy cover, C.E.C of 32 meq/100 g and a yield of 83.25 %. At high altitudes, Inga edulis and Cedrela fissilis provided average canopy cover of 40 % and 56 %, respectively. These species were also associated with soil carbon content above 3 % and cup scores above 82 points. The results ort the identification of key tree species for the implementation of sustainable coffee agroforestry systems, contributing to improve productivity and ecosystem conservation in the Amazon region.