2022
DOI: 10.1016/j.eja.2021.126396
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Microclimate estimation under different coffee-based agroforestry systems using full-sun weather data and shade tree characteristics

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Cited by 21 publications
(19 citation statements)
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“…Another explanation would be that increasing weed pressure in low-input systems, regardless of whether organic or conventional, may result in soil water deficit which could fasten cherry maturation [ 88 ]. Our results further support that after 3 months of production, robusta CAS, regardless of shade tree used or farming practice, may have the same productivity as robusta coffee grown under full-sun conditions as shade might improve coffee quality, e.g., bean weight [ 89 ] by delaying berry ripening by up to 1 month [ 31 ] as shade trees might mitigate extreme microclimate variations [ 90 , 91 ]. This finding is in agreement with previous studies [ 16 , 27 , 92 ].…”
Section: Discussionsupporting
confidence: 68%
“…Another explanation would be that increasing weed pressure in low-input systems, regardless of whether organic or conventional, may result in soil water deficit which could fasten cherry maturation [ 88 ]. Our results further support that after 3 months of production, robusta CAS, regardless of shade tree used or farming practice, may have the same productivity as robusta coffee grown under full-sun conditions as shade might improve coffee quality, e.g., bean weight [ 89 ] by delaying berry ripening by up to 1 month [ 31 ] as shade trees might mitigate extreme microclimate variations [ 90 , 91 ]. This finding is in agreement with previous studies [ 16 , 27 , 92 ].…”
Section: Discussionsupporting
confidence: 68%
“…Specific shade tree traits such as canopy openness and leaf area have been recently found to explain most microclimate conditions (Merle et al, 2022), and significantly relate to CLR incidence levels (Gagliardi et al, 2021). These findings may serve as a "missing link" to explain the AFS-CLR dynamics and shows the importance of shade tree selection in a coffee-AFS due to potential synergistic or antagonistic effects on these cropping systems.…”
Section: Pest and Disease Incidence Under Shadementioning
confidence: 94%
“…Shade trees offer a mitigation strategy for these climatic hazards, with overall cooler daytime air temperatures, thus contributing to maintain suitable growing conditions at lower elevations (de Souza et al, 2012;Rahn et al, 2018;Gomes et al, 2020). A buffering impact of shade trees on air temperatures has been reported in numerous studies, with minimum night temperatures found to be 0.5-2 • C higher than under FS, and maximum daytime temperatures 4-5 • C lower compared to FS (Lin, 2007;Siles et al, 2010;Rigal et al, 2020a;Merle et al, 2022). This buffering impact offers the double asset of protecting coffee trees from climatic hazards such as frost (Figure 3) and lowering heat stress during peak temperatures in the dry season, therefore providing conditions more suitable for photosynthetic activity (van Kanten and Vaast, 2006).…”
Section: Temperaturesmentioning
confidence: 99%
“…Most semi-variograms have a range of less than 12 m, indicating that citrus trees more than 12 m apart have no influence on each other [36,37]. Beyond 12 m of distance between two neighbor citrus trees, there is no more spatial dependence on disease intensity.…”
Section: Spatial Distribution Of Plfsdmentioning
confidence: 99%
“…However, the development of infection depends on the presence and susceptibility of the host. In the case where neighboring trees are sensitive hosts, the infection is favored and the epidemiological cycle continues [37,38]. On the other hand, if the neighbors are not very sensitive, or if they are not host plants (case of an agroforestry plot), the evolution of the epidemic can be slowed down or even stopped.…”
Section: Spatial Distribution Of Plfsdmentioning
confidence: 99%