Integrating remote sensing and in-situ data to determine climate diversity and variability in cocoa systems in the provinces of Jaén and San Ignacio, Cajamarca (NW Perú)

IF 2.7 Q1 FORESTRY Trees, Forests and People Pub Date : 2024-12-08 DOI:10.1016/j.tfp.2024.100749
Nilton Atalaya-Marin , Malluri Goñas , Daniel Tineo , Beimer Chuquibala-Checan , Marielita Arce-Inga , Ever Tarrillo , Yeltsin A. Alvarez-Robledo , Josué Tafur-Culqui , Héctor Cabrera-Hoyos , Darwin Gómez-Fernández
{"title":"Integrating remote sensing and in-situ data to determine climate diversity and variability in cocoa systems in the provinces of Jaén and San Ignacio, Cajamarca (NW Perú)","authors":"Nilton Atalaya-Marin ,&nbsp;Malluri Goñas ,&nbsp;Daniel Tineo ,&nbsp;Beimer Chuquibala-Checan ,&nbsp;Marielita Arce-Inga ,&nbsp;Ever Tarrillo ,&nbsp;Yeltsin A. Alvarez-Robledo ,&nbsp;Josué Tafur-Culqui ,&nbsp;Héctor Cabrera-Hoyos ,&nbsp;Darwin Gómez-Fernández","doi":"10.1016/j.tfp.2024.100749","DOIUrl":null,"url":null,"abstract":"<div><div>The lack of information on the geographic distribution of cocoa systems, along with species diversity and the influence of climatic factors on yields, presents challenges for the agronomic management of these plantations and the implementation of more effective agricultural policies. The objective of this study was to map cocoa area, species diversity and their response to historical climate variability in the provinces of Jaén and San Ignacio, Cajamarca, Peru.</div><div>For this purpose, PlanetScope and Sentinel-1 data, chosen for their high spatial resolution, were processed in Google Earth Engine using the Random Forest (RF) classification algorithm. Species diversity was determined by selecting 15 cocoa plots distributed in three altitudinal ranges. In each plot, all individuals with a diameter at breast height greater than 2.5 cm were registered within four 10 m x 20 m transects. A total of 4,338.6 ha of cocoa monocultures and agroforestry systems (AFS) distributed in valleys and in the proximity of water networks were mapped; overall thematic precision was 0.85 and a kappa index of 0.81. On the other hand, Musa sp. predominates at lower altitudes, while Inga edulis showed greater dominance at higher altitudes. The application of climatic and cocoa yield data allowed the calculation of the standardized anomaly index, which showed a remarkable impact of rainfall on cocoa yield, especially in 2021 and 2022, when it reached values above 0.94 MT/ha. Consequently, this integrated approach provides a deeper understanding of cocoa AFS, establishing a solid basis for decision-making aimed at optimizing yield through agricultural practices adapted to specific climatic conditions and promoting biodiversity by incorporating native species. Additionally, the findings have practical implications for agricultural policies, such as improving productivity, enhancing biodiversity, and adapting cocoa systems to climate change, promoting their sustainability and resilience.</div></div>","PeriodicalId":36104,"journal":{"name":"Trees, Forests and People","volume":"19 ","pages":"Article 100749"},"PeriodicalIF":2.7000,"publicationDate":"2024-12-08","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/S2666719324002553","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

Abstract

The lack of information on the geographic distribution of cocoa systems, along with species diversity and the influence of climatic factors on yields, presents challenges for the agronomic management of these plantations and the implementation of more effective agricultural policies. The objective of this study was to map cocoa area, species diversity and their response to historical climate variability in the provinces of Jaén and San Ignacio, Cajamarca, Peru.
For this purpose, PlanetScope and Sentinel-1 data, chosen for their high spatial resolution, were processed in Google Earth Engine using the Random Forest (RF) classification algorithm. Species diversity was determined by selecting 15 cocoa plots distributed in three altitudinal ranges. In each plot, all individuals with a diameter at breast height greater than 2.5 cm were registered within four 10 m x 20 m transects. A total of 4,338.6 ha of cocoa monocultures and agroforestry systems (AFS) distributed in valleys and in the proximity of water networks were mapped; overall thematic precision was 0.85 and a kappa index of 0.81. On the other hand, Musa sp. predominates at lower altitudes, while Inga edulis showed greater dominance at higher altitudes. The application of climatic and cocoa yield data allowed the calculation of the standardized anomaly index, which showed a remarkable impact of rainfall on cocoa yield, especially in 2021 and 2022, when it reached values above 0.94 MT/ha. Consequently, this integrated approach provides a deeper understanding of cocoa AFS, establishing a solid basis for decision-making aimed at optimizing yield through agricultural practices adapted to specific climatic conditions and promoting biodiversity by incorporating native species. Additionally, the findings have practical implications for agricultural policies, such as improving productivity, enhancing biodiversity, and adapting cocoa systems to climate change, promoting their sustainability and resilience.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
Trees, Forests and People
Trees, Forests and People Economics, Econometrics and Finance-Economics, Econometrics and Finance (miscellaneous)
CiteScore
4.30
自引率
7.40%
发文量
172
审稿时长
56 days
期刊最新文献
Characterizing draft animal logging operations in the southeastern United States Evaluation of tree diversity of native species in silvopastoral systems in the northwestern Amazon region Estimation of aboveground biomass of savanna trees using quantitative structure models and close-range photogrammetry Forest canopy height mapping using ICESat-2 data to aid forest management in a Canadian Arctic community: A case study of Kluane First Nation, Yukon, Canada Forests and Food: Challenges and Opportunities
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1