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Review

The Planetary Health Impacts of Coffee Farming Systems in Latin America: A Review

by
Emiliano Hersch-González
* and
Horacio Riojas-Rodríguez
Department of Environmental Health, National Institute of Public Health, Cuernavaca 62100, Mexico
*
Author to whom correspondence should be addressed.
Challenges 2025, 16(4), 57; https://doi.org/10.3390/challe16040057
Submission received: 24 September 2025 / Revised: 13 November 2025 / Accepted: 14 November 2025 / Published: 20 November 2025

Abstract

In Latin America, coffee is cultivated in distinct coffee agroecosystems (CASs), ranging from traditional agroforestry (“shade”) systems (CAFSs) to intensive, unshaded (“sun”) monocultures (UCASs). While various socioenvironmental impacts of these systems have been studied, their implications have not yet been integrated within a planetary health perspective. This review of 146 studies applies the Planetary Boundaries and Nature’s Contributions to People frameworks and the DPSEEA (Drivers, Pressures, State, Exposure, Effects, Actions) model to map the relationships between socioenvironmental drivers of change, different CASs, the state of natural systems at local and global scales, and human health and well-being. The analysis shows that conventional intensification, driven by low revenues for producers, climate change, and disease outbreaks, has accelerated deforestation, biodiversity loss, greenhouse gas emissions, agrochemical use and leakage, and water pressures. These changes create health risks for coffee-growing communities, such as pesticide exposure and increased vulnerability to external shocks. Conversely, agroecological practices can mitigate environmental pressures while reducing exposure to health hazards and improving resilience, food security, and income stability. However, mainstreaming these practices requires addressing structural inequities in the global coffee value chain to ensure fairer revenue distribution, stronger institutional support, and the protection of coffee-growing communities.

1. Introduction

Coffee is among the world’s most traded tropical commodities, with a global market valued at over USD 200 billion annually [1]. In total, 80% of the world’s coffee is produced by around 25 million smallholder families in the Global South, yet most of the consumption and revenues are concentrated in the northern hemisphere [2]. Two species dominate global coffee production. Coffea arabica is generally considered superior, but it is a delicate plant requiring specific temperature, humidity, and shade conditions usually found in tropical mountainous regions [3]. It accounts for 56% of global coffee production [4], concentrated in Latin America, East Africa, and the Arabian Peninsula [5]. Conversely, Coffea canephora, whose main variety is Robusta, is bitter, contains higher caffeine levels, and is both more productive and disease-resistant. Robusta thrives in warmer climates, often under direct sunlight and at lower altitudes [6,7]. Its production is concentrated in Brazil and Vietnam (the world’s two largest coffee producers), alongside Southeast Asia and West and Central Africa [5].
The distinct ecological traits of Arabica and Robusta have interacted with diverse biocultural landscapes and historical processes to shape their geographic distribution and cultivation methods. In Brazil, for instance, coffee production is dominated by large-scale, intensively managed Robusta monocultures that depend heavily on wage labor, and similar patterns are found across Latin America in the so-called “finca” model [8]. Conversely, a significant share of coffee is cultivated by smallholder farmers in agroforestry systems (often traditional) where Arabica varieties are intercropped with a range of productive and non-productive plants. In this way, coffee cultivation emerges from a dynamic interplay between ecological configurations, sociopolitical structures, and cultural knowledge, resulting in distinct coffee agroecosystems (CASs).
In Latin America, differences between CASs have long been recognized by both producers and scholars. A broad, popular distinction recognizes “shaded coffee”, or coffee agroforestry systems (CAFSs), and “sun coffee”, or unshaded coffee agroecosystems (UCASs), based on the presence or absence of shade trees (Figure 1). A more detailed typology proposed by Moguel & Toledo [9] further differentiates CAFSs according to decreasing vegetation structural complexity, ranging from traditional “rustic” systems (rustic T-CAFSs), to traditional polycultures (T-CAFSs), to commercial polycultures, to shaded monocultures (M-CAFSs) (Figure 2).
However, CASs differ in several dimensions beyond shade level and vegetation structure, including biodiversity, farm size, use of technology and agrochemicals, as well as land tenure and labor organization. These characteristics are captured in the “coffee intensification gradient” proposed by Perfecto et al. [8], which spans from traditional, low-intensity multifunctional systems to highly intensified monocultures. Low-intensity multifunctional CASs typically feature:
  • Multistory agroforestry with diverse shade trees.
  • High biodiversity and ecological complexity, supporting key ecosystem functions.
  • Native Arabica varieties.
  • Minimal external inputs such as agrochemicals.
  • Small-scale farms (<10 ha), often family-owned and operated.
  • Integration with local or indigenous knowledge and labor systems.
Conversely, at the high-intensity end, CASs are marked by:
  • High-density coffee monocultures, often with no or low-diversity canopy.
  • Ecological simplification and reduced biodiversity.
  • Use of Robusta or hybrid Arabica cultivars.
  • Heavy reliance on agrochemicals.
  • Large-scale operations (>10 ha), often corporate-owned.
  • Seasonal wage labor under hierarchical management.
A growing body of research has documented the positive impacts of CAFSs on biodiversity conservation and on Nature’s Contributions to People (NCP; the positive and negative contributions of living nature (i.e., the biosphere) to people’s quality of life [10], conceptually derived from the earlier ecosystem services framework) when compared to UCAS, including pollination, carbon (C) storage, soil formation and protection, and livelihood diversification [8,11,12,13]. In the past decade research has also extended beyond ecology to examine how varying agroecological configurations and management practices influence human health outcomes such as food security and nutrition [14,15], pesticide exposure [16,17], and mental health [18].
However, since the 1960s, T-CAFSs have undergone widespread intensification in Latin America [6], a trend that appears to be accelerating [19,20]. Despite growing interest, no prior study has synthesized the evidence linking coffee farming under different CASs, natural systems, and human health and well-being within a planetary health perspective—defined as the interdependent health of human populations in all its dimensions and the natural systems on which they rely [21]. To address this evidence gap, a literature review was conducted integrating different frameworks. The Planetary Boundaries (PBs) framework was used to evaluate the drivers and impacts of various CASs in Latin America on local and global natural systems, and their effects on human health and well-being were evaluated directly or through the NCP framework. These relationships were integrated in the Drivers–Pressures–State–Exposure–Effect–Action (DPSEEA) model, linking socioecological drivers, environmental change, and human health. While this review focuses on Latin America due to the region’s shared historical, cultural, and socioeconomic trajectories in coffee cultivation, its results may be relevant for the identification and promotion of co-beneficial coffee-growing practices in other coffee producing regions.

2. Methods

While not a systematic review, efforts were made to structure and systematize the literature search and screening process. A combination of keywords (Table 1) was used to conduct a database search on Pubmed and Scopus on June 27th, 2024. The detailed search query is available in the Supplementary Materials (Table S1). Searches were conducted in English and Spanish, and no publication date filter was applied. In total, 4435 records were retrieved. After removing 1443 duplicates, 2992 unique records remained.
Screening followed three stages according to the selection criteria outlined in Table 2: (1) by title and abstract, (2) by sorting for relevance, and (3) by full-text reading. After screening by title and abstract, 438 studies were sorted by relevance according to scope, thematic representativeness, strength of evidence, and alignment with the PBs and DPSEEA frameworks. Additional preference was given to systematic reviews and meta-analyses, as well as studies covering underresearched areas or underrepresented regions. Selected grey literature (e.g., policy briefs and institutional reports) that clearly reported their data sources and methodologies was also included when peer-reviewed evidence was scarce. During this process 151 records were pre-selected as the key literature. During full-text reading 40 further sources were identified by snowballing and targeted thematic searches. A total of 146 results were included in this review (Figure 3). Evidence was charted and synthesized using the DPSEEA framework. Mexico, Brazil, and Colombia contribute 51% of the literature (Figure 4). Results are presented in three sections: Section 3 presents the main drivers of coffee landscape transformations in Latin America (DP elements of DPSEEA); Section 4 presents the main impacts of CASs on PBs (PSE elements of DPSEEA); and Section 5 presents the main pathways linking CASs, their trends of change, and their impact on PBs with human health (SEE elements of DPSEEA).

3. Drivers of Transformation in Coffee Landscapes

The literature reviewed shows that coffee cultivation in Latin America is undergoing seven major trends of transformation during the 21st century: (1) a shift to disease-resistant cultivars; (2) conventional intensification through reduced shade, higher planting densities, and increased agrochemical use; (3) the replacement of Arabica with Robusta; (4) the introduction of Robusta in previously uncultivated areas; (5) the conversion of CASs to other crops or pastureland; (6) the expansion of coffee cultivation into forests; and (7) the adoption of sustainability standards [19]. Most of these trends reflect the increasing management intensification and ecological simplification of CASs. The drivers of these transformations are multiple, but three stand out: declining net revenues and producer share in the coffee value chain (CVC), increasing impacts of climate change, and recurrent outbreaks of coffee leaf rust (CLR), a fungal disease affecting coffee [19,22,23]. Other contributing factors include labor shortages and weakening institutional support [23,24,25].

3.1. Decreasing and Volatile Revenues for Coffee Producers

The literature reviewed consistently points at decreasing and volatile revenues for coffee producers as a critical driver of coffee landscape transformations. Despite a market value exceeding USD 200 billion and steady demand growth of 2% annually over the past two decades [1,26], most producers in the Global South live below the poverty line, earning less than a living income [26,27]. The collapse of the International Coffee Agreement in 1989 and the dismantling of national coffee institutes during the 1980s amidst neoliberal reforms exacerbated these imbalances by heralding a decline in coffee prices paid to producers (Figure 5), a shift in market control toward corporations, the financialization of the coffee trade, and a concentration of revenues within financial and commodity markets [25,28,29,30]. For instance, Colombian producers’ share of final coffee value fell from 20% to 13% between 1970 and 1989, while roasters’ share rose from 53% to 78% [25,28]. Today, producers retain less than 10% of coffee’s total value, less than the tax revenues it generates in the US alone [31]. In turn, the monopolistic corporate consolidation during this period has eroded producers’ bargaining power, often forcing them to sell below production costs [32,33]. In Brazil, large coffee farms have been involved in human rights and labor law abuses, including child and slave labor. These violations were documented on farms supplying brands such as Nestlé, Starbucks, and ECOM, and certified by Rainforest Alliance, UTZ, and Fairtrade [34,35].
On the other hand, global coffee prices are largely determined in futures markets, where a substantial rise in speculative trading, combined with fluctuations in coffee supply and production costs, has resulted in extreme price volatility [38,39]. This undermines farmers’ livelihoods, and has triggered widespread crises associated with food insecurity, school dropout, and increased migration, as happened during the 2000s coffee crisis in Central America [40,41]. Outmigration of coffee farmers, in turn, contributes to labor shortages and rising production costs [23,24]. Facing these pressures, many producers have sought to sustain their incomes by increasing production through conventional intensification and expansion into natural areas. This has been encouraged institutionally through the promotion of Robusta cultivation, recommendations to reduce shade, and agrochemical subsidization [6,8]. Some authors point out that resulting overproduction has depressed prices further, justifying continued intensification [6,25]. For example, an aggressive promotion of Robusta cultivation in Vietnam—subsidized by the World Bank—led to an oversupply of cheap coffee that displaced higher-quality Arabica, contributing to lower coffee prices in Latin America [25].

3.2. Changing Climate

The literature reviewed documents that climate change is already affecting coffee production and reshaping coffee landscapes across Latin America [19]. Climate change is reported by farmers in Veracruz, Mexico, as the second most important stressor after low coffee prices [23]. In Central America, 66% of smallholder farmers reported negative effects of rising temperatures, erratic rainfall, and extreme events on yields, income, and food security [42]. Extreme weather events are also altering coffee landscapes through forced migration and farm abandonment, as seen after hurricanes Mitch (1998), Stan (2005), and, more recently, Eta and Iota (2020) [22,43]. In response, producers are adapting in various ways, including forest encroachment, shifting from Arabica to Robusta, intensifying management, and, in some cases, increasing on-farm tree cover [19,42].
Climate change impacts on coffee are expected to become increasingly determinant. Recent systematic reviews show found that most studies project Arabica yield declines in Latin America—as high as 70%—over the coming decades due to rising temperatures and changing humidity, though some studies suggest partial mitigation from CO2 fertilization. The area suitable for growing Arabica will reduce by an estimated ~30% for Mesoamerica, 16–20% for the Andes, and 25% for Brazil by 2050–2070, with some estimates as high as 84% for Puerto Rico, 98% for Mexico, and 73–88% for overall Latin America. Coffee-growing zones will shift to cooler, higher altitudes and possibly the Amazon basin, threatening forests and protected areas. By contrast, Robusta may maintain or expand its suitability, possibly driving deforestation to meet demand. Pests and diseases are expected to spread faster and become more severe, while pollinator populations are projected to reduce [7,44].

3.3. CLR Outbreaks

The literature consistently reports that CLR, a fungal disease of coffee leaves, has become a significant driver of coffee transformations since the late 2000s [8,13]. Between 2012 and 2014, CLR caused an estimated USD 1 billion in damages across Latin America, affecting over two million people [20]. In Central America alone, coffee yields dropped by up to 55%, resulting in losses of USD 515 million [42]. In Colombia, production fell by 31% during the 2008–2011 outbreak, and in southern Mexico, losses reached 95% in 2015–2016 [13,20,45]. The exact drivers of this shift in CLR epidemic potential are debated. Hypotheses include the effects of climate change in shortening the latency period of CLR [45], reduced investment in farm management due to low coffee prices, and the erosion of natural control mechanisms as a result of the intensification and ecological simplification of CASs, crossing a tipping point in CLR transmissibility [8]. Responses have focused on the introduction of high-yielding, CLR-resistant hybrid cultivars and increased fungicide use, which successfully helped reduce CLR incidence and recover production [19,45]. In Colombia, for example, CLR rates fell from 40% in 2009 to just 3% by 2013 [45]. However, they have also become a leading driver of conventional intensification, since resistant varieties typically require higher sunlight and agrochemical inputs. In parts of Chiapas, Mexico, organic CAFSs largely gave way to intensified CASs after the outbreaks, with agrochemical use rising from 0% to 54% between 2012 and 2016 [20], and shade cover decreasing from 50% to 25–30% between 2005 and 2015 [22]. A recent modeling study found that CLR-affected municipalities in Chiapas experienced a 32% rise in deforestation, primarily at the expense of T-CAFSs, resulting from policy-supported adoption of resistant varieties [46].

4. Coffee Farming’s Impacts on Planetary Boundaries

This section synthesizes 89 studies examining how CASs and their transformations influence six PBs—land-system change, biosphere integrity, climate change, biogeochemical flows, freshwater use, and novel entities—and how these alterations in turn affect coffee farming.

4.1. Biosphere Integrity

Biosphere integrity includes both genetic diversity and functional integrity [47]. Compared with UCASs, CAFSs support significantly higher biodiversity levels and key NCP such as soil health, hydrological services, regulation of extreme weather, pollination, and regulation of detrimental organisms (Figure 6).

4.1.1. Impacts of CASs on Biodiversity Conservation

Biodiversity and ecological complexity are better preserved in CAFSs and decline with intensification. One meta-analysis showed that bird, ant, and tree biodiversity in Latin American CASs inversely correlates with management intensity [48]. Another meta-analysis found that the diversity and abundance of bird, mammal, epiphyte, and insect species in Latin America are significantly higher in high-shade (>30%) CAFSs versus low-shade (6–30%) CAFSs or UCASs (<5%), controlling for agrochemical use [49]. Bee abundance and diversity are best predicted by tree species richness [50], and some pollinators apparently cannot survive in UCASs [51]. Amphibians also fare better in CAFSs [9,52,53], and fungal diversity is higher in organic systems [54], while soil microbial communities shift with management intensity [55,56]. CAFSs also enhance connectivity across forest fragments, supporting biodiversity even in intensively managed agricultural areas [8,49,57]. These results show that high shade levels, tree diversity, multistrata canopy structures, and organic management support high ecological complexity and are critical for conserving biodiversity within CASs and across coffee landscapes. However, CAFSs support less biodiversity than primary forests [48,49,58,59], emphasizing the need to avoid forest encroachment [49]; one study found that intensive, small-scale, land-sparing farms within a highly forested area may preserve higher landscape biodiversity than CAFSs [60].

4.1.2. Impacts of CASs on NCP

Soil Health, Nutrient Cycling, and Erosion Control
Studies show that soil health declines with management intensification: CAFSs consistently sustain richer microbial communities, lower denitrification rates, and higher bioavailable nutrients than UCASs [61]. CAFSs also benefit from the nitrifying activity of leguminous trees widely used for shading. Their pruning alone contributes 70–90 kg of N/ha/year, comparable to one-third the synthetic nitrogen (N) input in UCASs [62]. Agroforestry and organic management independently protect soil health: CAFSs show higher microbial diversity and nutrient retention and uptake than UCASs independently of agrochemical use [62,63,64,65], while conventional CASs have lower soil pH, bioavailable N, and food web diversity than organic CASs at equal shade levels [56,64,65]. Extensive root systems, litter, vegetation, and mulch in CAFSs also reduce erosion, with nitrogen loss over three times higher in UCASs [64,66,67].
Hydrological Services
CAFSs better preserve hydrological services through deeper root networks, litter, and improved soil structure, achieving hydraulic conductivities comparable to natural forests, with low surface runoff, high infiltration rates, reduced sediment transport, and enhanced groundwater recharge and soil moisture storage during dry periods [68,69,70,71]. Compared with pastures and UCASs, CAFSs show better modulation of peak flows during storms [70], and may even outperform mature forests in reducing surface runoff and enhancing groundwater recharge [71]. Additionally, CAFSs exhibit lower soil evaporation and higher evapotranspiration, suggesting a more efficient use of rainfall through their microclimatic characteristics [72].
Regulation of Microclimate and Extreme Weather
Shade in CAFSs moderates microclimatic extremes by lowering temperature (between 0.6 °C and 5.4 °C in M-CAFSs compared with UCASs), reducing wind speed, increasing humidity, and stabilizing soil moisture, thereby reducing evaporation and protecting crops and workers under climate change [63,73,74,75]. Evidence also suggests that agroforestry can enhance resilience to extreme weather events through root stabilization and wind buffering, with more complex, less intensive CAFSs associated with reduced losses and landslides after hurricane Stan in Chiapas, Mexico [76]. However, results in Puerto Rico after hurricane Maria are mixed; one study found that diverse CAFSs may have suffered less damage and recovered faster [77], while another did not find an association between hurricane resistance and canopy cover [78]. Nonetheless, CAFSs were found to support ecological resilience by providing a refuge for biodiversity recovery after the hurricane [79].
Pollination
A global meta-analysis indicates that greater pollinator richness in CAFSs increases Arabica fruit set by around 18% and improves fruit size, weight, and cup quality, benefits associated with agroforestry and proximity to native forests [80]. Even UCASs close to forests report a 15% higher productivity, related to a 32% higher pollinator population [81], as well as improved yields and quality due to pollination [82].
Regulation of Detrimental Organisms
Ecological complexity in CASs improves pest and disease control by reducing pathogen dispersal and supporting natural biocontrol agents, including fungi, birds, reptiles, nematodes, spiders, and insects [8,83,84,85]. Two key threats in Latin America revised here are the coffee berry borer (CBB, Hypothenemus hampei) and CLR [86]. CBB infests developing berries, causing global losses exceeding USD 500 million annually. CAFSs with multiple ant and bird species can lower CBB populations by up to 50%, potentially preventing USD 75–310/ha/year in crop damage [83,85]. These benefits decline with intensification [85], and some evidence shows that CBB infestations are lower in organically managed Robusta CAS [87]. The impact of management intensity in CLR is more controversial. While their high humidity may favor CLR development, CAFSs also reduce aerial spore dispersal and foster natural Hemileia predators such as Lecanicillium lecanii and Mycodiplosis hemeliae, and it has been suggested that intensification may reduce CAS resilience and increase CLR outbreak severity [8,84,88]. The ecological interactions of biocontrol agents, microclimates, and host plants within CASs are complex and non-lineal, and further research is required to clarify these dynamics.
Coffee Productivity
Evidence on the relationship between shade and Arabica yields is nuanced. Shade removal is traditionally recommended based on experiments showing reduced photosynthesis and yields under shade [84]. However, field research report that moderately shaded Arabica CAFSs can have similar or exceeding yields compared to UCASs, probably by balancing photosynthetic rates with NCP such as fertilization, pollination, and pest control [33,80,89,90]. Robusta can also maintain similar yields under moderate (25%) shade from leguminous trees as under full sun [89]. CAFSs shaded with nitrogen-fixing trees have the highest yields [33,89,90], while species such as Eucalyptus hinder growth [81]. The effect of agrochemical management is also nuanced. Studies have found that organic CAFSs can be as productive as conventional ones [90], and that CAFSs combining low to moderate agrochemical use with moderate shade levels typically achieve the highest yields [33] and a higher yield-to-nitrogen input ratio [91]. Studies on complementary NCP show that biocontrol and pollination by birds and bees can jointly contribute up to 25% of production [92], and farms maximizing NCP through shading, polyculture, and low pesticide use have lower yield and economic losses, even under high CLR prevalence [86]. Agroecologically managed CAFSs have achieved competitive yields using less than a third of agrochemicals and half the labor than UCASs, while generating higher net incomes due to secondary products and reduced expenses [93]. In Puerto Rico, island-level analyses suggest that total planted area, not shade level, is the strongest predictor of yield, while shade cover correlates with greater food crop richness [77]. These findings show that tradeoffs between shade and organic management with productivity can be minimized by maximizing NCP.

4.2. Land-System Change

Forests are the control variable for land-system change in the PB framework [47], and CASs influence this boundary mainly through deforestation of native forests and loss of on-farm shade and structural complexity.
Between 1990 and 2010, intensification increased global coffee production by 36% despite a 9% fall in cultivation area [6]. In Latin America, coffee covers roughly 4.6 million ha [19,94], often adjacent to high-conservation-value forests [6,9]. Cultivation area is contracting in countries such as Brazil and Colombia while expanding into forested zones in Ecuador, Peru, Mexico, and Central America, a pattern likely to increase under climate change [19,44]. Annual deforestation attributable to coffee cultivation globally is estimated at 130,000 ha [27], with Latin American estimates by indirect land-balance models reaching at least 37,000 ha/yr in 2017 (Figure 7) [95]. This amounts to 3.3% of the 1,108,800 ha lost to deforestation in Latin America in 2020 [96], or 0.004% of the regional tropical forest cover in 1995 [97]. Coffee-driven deforestation is highest in Honduras, Ecuador, and Peru, accounting for 17%, 10%, and 7% of total national forest loss between 2005 and 2013, respectively (Supplementary Material Table S4) [98].
A substantial share of deforestation occurs within farms as shaded coffee systems are replaced by unshaded monocultures or other crops. In Chiapas, most of the deforestation during the CLR epidemic came from T-CAFSs rather than native forests [46]. From 1970 to 1990, ~50% of CAFSs in Latin America shifted to low shade or UCASs [99], with further declines in the 1990s–2010s, particularly in El Salvador (92 to 24%), Nicaragua (55 to 25%), Guatemala (45 to 40%), and Costa Rica (10 to 0%) [6]. Shade remained stable in Colombia (~30%) and rose in Honduras (15 to 35%) and Mexico (10 to 30%). By 2010, UCASs covered 41% of coffee area, M-CAFSs 35%, and diverse CAFSs just 24% [6]. This intra-farm simplification is critical because CAFSs preserve many key functions of native forests, as discussed in Section 4.1 and Section 4.3.
Although less extensive, farm abandonment and agroforestry-driven reforestation also shape land-system change. Abandoned farms are often converted to crops or pastures, reducing tree cover, but in some cases regenerate into secondary forests [19]. Coffee expansion can also promote reforestation when shade levels and diversity increase. In Mexico’s Sierra Norte de Puebla, over 60,000 ha were reforested between 1988 and 2003, two-thirds through CAFSs established on grasslands and cornfields [12], while CAFSs drove a 17% tree cover rise in Honduras from 1954 to 1992 [100]. Growth in certified coffee (organic, fair trade) also supports agroforestry, with Latin America leading global production [19].

4.3. Climate Change

The coffee supply chain contributes approximately 1% of global food systems’ carbon footprint, largely from cultivation and consumption [101]. In Brazil, coffee accounts for 5% of agricultural emissions and 1.14% of the country’s total [102]. A land-balance model estimated deforestation emissions at over 12 million t CO2/yr in Latin America [95]. On the other hand, a review of eight studies found that T-CAFSs store over five times more C than UCASs (54.6 vs. 9.7 t/ha) [103], while converting T-CAFSs to UCASs or other crops can release 133–192 t C/ha on average (Table 3) [13]. Conversely, transitioning UCASs to CAFSs could sequester about 1.3 t C/ha/year, potentially making CASs carbon neutral or carbon negative [103].
Despite methodological differences, all studies reviewed show increasing carbon footprints with management intensity: in Central America between T-CAFSs and UCASs (0.51 kg CO2eq/kg vs. 0.64 kg CO2eq/kg cherry coffee [103]; across five Latin American countries between polycultures and monocultures (6.2–7.3 vs. 9.0–10.8 kg CO2eq/kg parchment coffee) [104]; in Colombia between CAFSs and UCASs (3.1 vs. 5.8 kg CO2eq/kg parchment coffee) [105]; near five-fold lower difference between organic and conventional CASs in Brazil (1.4 vs. 0.3 kg CO2eq/kg green coffee) [106]; and the lowest reported in organic T-CAFSs managed by an indigenous cooperative in Mexico (0.15 CO2eq/kg green coffee, excluding transport) [107] (to convert between different coffee forms, a ratio of 5.4:2:1.25:1 for fresh cherry, dry cherry, parchment, and green coffee is suggested [103,108]).
Fertilization emissions from manufacturing and soil N2O volatilization are the largest contributor to GHG emissions in intensified CASs, accounting for 70–94% of total emissions, followed by C-stock loss [101,103,106]. A systematic review estimated N2O emissions from coffee farms at 0.2–12.8 kg N/ha/year (94–5995 kg CO2eq/ha/year), scaling directly with fertilizer use [109]. Moreover, increasing N inputs reduces efficiency due to saturation and losses. In Ecuador, optimal environmental and economic performance was observed at 70 kg N/ha/year, roughly half the national recommendation [91].

4.4. Biogeochemical Flows

Synthetic fertilization and shade loss are the main drivers of change in this PB through increased N and P inputs and nutrient runoff, fueling eutrophication, harmful algal blooms, and oxygen depletion in freshwater and marine ecosystems [47,110]. In 2017, coffee production used ~2.1 Mt of fertilizer (1.2% of global use) [94]. The exact synthetic N and P inputs from coffee farming are unknown, but given global N (190 Tg/yr) and P (22.6 Tg/yr) flows [47] and coffee’s share of fertilizer use, net N and P flows attributable to coffee cultivation can be estimated at about 2.28 Tg N and 0.27 Tg P annually—about 3.6% of the N boundary (62 Tg) and 2.4% of the P boundary (11 Tg). These estimates correlate with fertilization rates in conventional monocultures (66–400 kg N/ha/yr and 22–109 kg P/ha/yr) [91,109]. At a global scale (10.3 Mha), this would equate to 0.7–4.1 Tg N/yr and 0.22–1.1 Tg P/yr, or 1–6% and 2–10% of the respective PB under low and high fertilization rates, respectively, highlighting the importance of keeping them near the lower range.
Life-cycle assessments generally show lower eutrophication impact in less intensive systems: in Colombia, CAFSs were found to have less terrestrial, freshwater, and marine eutrophication impact than UCASs [105], and in Brazil, organic coffee had a lower contribution to freshwater, marine, and terrestrial ecotoxicity, but higher freshwater eutrophication potential associated to high-P organic fertilizers [106]. Field studies have measured eutrophication directly. In Veracruz, Mexico, streams from CAFSs and forests had higher N pollution but lower eutrophication than pasture streams despite higher N loads, likely because shade limits eutrophication [111]; in Costa Rica, M-CAFSs streams generally showed lower nutrient pollution and eutrophication than cattle highlands, and shade also correlated with lower eutrophication [112]. Wet coffee processing is another source of nutrient pollution, contributing ~80,000 t of biochemical oxygen demand (BOD) in Mexico in 2000 [113].

4.5. Freshwater Change

Coffee cultivation relies primarily on rainwater; its global green and blue water use (~108 km3 and ~0.75 km3 in 2017, respectively) is therefore significantly lower than for many other crops [94], representing ~0.019% of the 4000 km3 blue-water PB set in 2015 [114]. However, blue-water pressures are rising due to increasing irrigation in highly intensified systems (~1104 m3/t cherry) and wet processing (~7.5 m3/t) [101,115,116]. In Latin America, irrigation is concentrated in Brazil, covering 5.9% of the coffee area [102,115], yet using 274 million m3/year blue water, a third of coffee’s global use [94], resulting in water scarcity impacts ten-fold higher than in Central America or Colombia (0.15–0.27 vs. 0.02 m3/L coffee) [101]. Life-cycle assessments show that CAFSs use ~53% less water than UCASs [105], and organic CASs up to ten times less water than conventional CASs (3 vs. 33 m3 eq./t green coffee) [106].

4.6. Novel Entities

The Novel Entities PB includes human-made or mobilized entities such as synthetic chemicals and genetically modified organisms, with a proposed boundary of zero release of untested synthetics [47]. In CASs, the main contribution to this PB is pesticide use, which closely follows the coffee intensification gradient, although specific evidence remains limited. Pesticides used in coffee cultivation across Latin America include many listed as highly hazardous and banned in several countries (Table 4) [117,118]. Their use has expanded rapidly, with a 190% increase in Brazil in the last decade [84,117], where producing 1000 kg of green coffee requires ~10 kg of pesticides [119], or ~38 million kg annually [84]. Documented environmental leakage includes 59 pesticides—over half highly toxic—in Brazil’s Itapemirim River Basin [117], and elevated organophosphates and organochlorines, including banned pesticides such as dieldrin, heptachlor, and DDT, in surface waters of coffee areas in Quindío, Colombia [118], highlighting weak enforcement driven by easy access, limited testing, and regulatory gaps [117].

5. Coffee Farming’s Impacts on Human Health and Its Ecosocial Determinants

This section examines 46 studies on how different CASs, their drivers of transformation, and coffee-driven environmental change affect human health through direct occupational exposure and ecosocial determinants such as coffee prices, CLR outbreaks, and climate change.

5.1. Occupational Health Hazards, Exposure to Dangerous Fauna, and Leishmaniasis

Coffee farmworkers are exposed to significant hazards with limited access to protective equipment and healthcare. A survey in Cauca, Colombia, found that only 3% had medical insurance [123], and just 5% of pesticide handlers in Dominican Republic consistently used protective equipment [124]. The findings of this review show that, while farmworkers in intensified CASs are more exposed to pesticides, those in CAFSs are more exposed to dangerous fauna and leishmaniasis, a vector-borne disease.
In the Dominican Republic, conventional CAS farmworkers exposed to pesticides have shown higher cytotoxic and genotoxic biomarkers, greater symptoms of acute intoxication, and a possible reduction in male fertility linked to early-life exposure than organic farmworkers [17,124,125]. In Quindío, Colombia, residues of banned pesticides such as endosulfan and heptachlor were detected in 55% of coffee and banana farmworkers, and their presence in serum samples was associated to subclinical hypothyroidism in 6.7% of workers [120,126]. Cytogenetic biomonitoring also found higher chromosomal damage in farmers in regions with intensive pesticide use than in the predominantly organic coffee region of Sierra Nevada de Santa Marta [127]. Moreover, one Brazilian study identified 117 different pesticides in local raw beans [128], and some have been detected in roasted coffee beans [121], highlighting possible risks for consumers.
Coffee harvesting results in frequent musculoskeletal disorders: in Colombia, 18% of surveyed farmworkers reported accidents and 50% chronic back pain [123], while in Honduras over 70% reported recurrent musculoskeletal pain [129]. Farmers also face risks from hazardous wildlife. Some farmworkers in Chiapas reportedly prefer intensively managed CASs due to their fear of snakes, ants, and spiders found in CAFSs. These risks are exacerbated by the lack of proper footwear and protective equipment, and by penalties for leaving infested coffee bushes unharvested [130]. In Bahia, Brazil, an ecological study found higher snakebite incidence associated with coffee and cocoa cultivation near the Atlantic Forest compared with more intensive crops [131]. Cutaneous leishmaniasis has also been associated with multifunctional CAFSs. In Tolima, Colombia, a high-incidence township had greater forest cover, more shaded CAFSs, and higher densities of Lutzomyia sandflies than a low-incidence township dominated by monocultures [132], while Leishmanin skin test positivity among coffee farmers was nearly twice as high in T-CAFSs than in “intensified” farms (26.8% vs. 13.2%) [133]. No studies linking CASs with other infectious diseases were found in this review.

5.2. Impacts on Ecosocial Determinants of Health

5.2.1. Livelihood Diversification and Income

Agrobiodiversity in CAFSs—including shade trees, crops, beehives, and associated flora and fauna—supports livelihoods by providing a variety of commercial and non-commercial products. Intensification can increase coffee yields but reduces these contributions, leading to underestimation of productivity when measured solely as coffee output [12,134]. In Peru and Guatemala, woody products from CAFSs—mainly firewood—have been found to account for 28.5% and 18.8% of smallholder coffee-holding value, with trees functioning as “stored capital” [134], while fruits contribute about ~10% of income, but up to 40% with appropriate market access [135]. In El Salvador and Nicaragua, CAFSs supplied roughly half of household firewood, the primary energy source in rural Latin America, valued at about 3–7% of household income, and 119 commonly used species of medicinal plants were recorded in CAFSs, a significant therapeutic resource for households with little access to health services [136]. In Chiapas, beekeeping was associated with higher income sufficiency among coffee farmers (55.6% vs. 33.6%), while fruits and vegetables from CAFSs supported household nutrition, fed seasonal workers, and facilitated barter [15].
A comparative modeling study in Guatemala and Costa Rica found that a 50% increase in coffee prices would be required for all farmers to achieve positive net cash incomes, although still below living income for most. Moderately shaded, high-investment CAFSs had the highest probability of positive returns under most scenarios, whereas for farmers with limited investment capacity, highly shaded, diversified CAFSs were the most economically viable option because diversification and lower costs buffer against price drops [33].

5.2.2. Food Security and Nutrition

Smallholders frequently experience seasonal food insecurity (“thin months”), with reported annual prevalences of 63% in Central America [136], 72% in Chiapas [15], 97% in El Salvador [137], and 52% in Guatemala [138], and average durations of 2.5–3 thin months in Chiapas and Nicaragua [15,139]. Proximate causes include income insufficiency, depleted staples, limited employment and land access, rising food and production costs, catastrophic health expenditures, and climatic variability [137,139]. Agricultural diversification both within and beyond coffee farms consistently supports food security and nutrition. The number of trees on a CAFS [14,139], and its plant diversity [14], have been found to be significantly associated with fewer food-insecure months in Nicaragua and Chiapas. In Chiapas, more than 20 wild food species were identified within CAFSs, including leafy greens, palm flowers, snails, and mushrooms, many shade-dependent and rich in micronutrients, and consumed by all surveyed households [14], while a different study recorded 108 different edible plant species linked to CAFSs, “milpas” (traditional agroecological systems combining maize, beans, squash, and other crops), and cacao systems, supporting dietary diversity [140]. Coffee farmers in Mesoamerica often maintain milpas to retain control over food supplies [14,15,137]. In a study in El Salvador, these staples supplied about half of household consumption [137]; in Guatemala, diversified households reported lower food insecurity than coffee-dependent ones [138]; and in Chiapas, staples provided 37% of coffee household food, and that both growing staples and beekeeping significantly increased food security [14,15]. Similarly, diversified coffee smallholders in Honduras experienced lower food insecurity than coffee-dependent ones during COVID-19 lockdowns, which reduced labor, coffee yields, and access to food and markets [141].
On the other hand, landscape transformations, shifting food cultures, and limited access to fresh foods are driving a transition toward industrialized diets and to obesity and micronutrient deficiencies. In Guatemala, households relying solely on coffee reported higher incomes, but also higher overweight and obesity, and reduced caloric access during thin months than diversified households [142], and a survey in 55 Colombian coffee-growing communities identified an unhealthy diet (<5 daily servings of fruits/vegetables, 86.3%) as the most common risk factor for non-communicable diseases [143].

5.2.3. Migration

CLR outbreaks and low coffee prices have been linked to coffee farmer migration. A study among ten coffee-growing communities in Guatemala found that migration had almost doubled during an outbreak of CLR that caused a 71% loss in production [144], while a five-cent fall in coffee prices has been associated with a rise in about 160 migrants per 100,000 people in Honduras [145]. Similar migration surges have been reported following coffee price drops in Colombia and Mexico [28,146]. On the other hand, coffee smallholders rely on rainwater and are particularly vulnerable to climate change, especially in Central America’s “Dry Corridor” [147]. Recurrent droughts have devastated harvests, and in 2020 alone they threatened the food security of 2.2 million people. That same year, Hurricanes Eta and Iota displaced an estimated 7 million people across Central America, destroyed 80% of agricultural production, and severely disrupted infrastructure and logistics, greatly affecting coffee farmers [43]. While this review did not find studies directly quantifying climate’s contribution to coffee-farmer migration, rainfall variability has been statistically linked to higher apprehensions of Honduran family units at the U.S. border [148].

5.2.4. Peace and Security

Coffee prices have been linked with violence, particularly in Colombia’s Coffee Axis. Rates of homicides, kidnappings, and attacks were significantly associated with coffee prices during the 1990s–2000s, when the price collapse forced many farmers to abandon coffee and turn to coca and poppy and armed groups filled the vacuum [28]. A similar study found that the 68% drop in coffee prices between 1997 and 2003 coincided with 18–31% more guerrilla and paramilitary attacks, 22% more armed clashes, and 14% more war-related deaths in coffee-growing regions relative to non-coffee ones [149]. On the other hand, qualitative research suggests that community-based agroecology projects can contribute not only to ecological practices but also to social cohesion, resilience, and collective action by building local institutions, mediating conflicts, promoting gender equity, preserving historical memory, defending territories, and expanding political participation and marketing channels in post-war Colombian coffee-growing communities [150].

5.2.5. Gender Equity

Public and institutional policy, certification programs, and producer cooperatives can be levers to narrow gendered asset gaps in land, credit, education, and representation. The increasing incorporation of women into the FNC in Colombia has expanded their productivity, income, and decision-making power [151]; in Oaxaca, Mexico, women’s registration in Fairtrade-organic certification programs rose from 9% in the 1990s to 42% by 2013, and female cooperative members reported strong household decision making and higher control over income [152], while members of a women-led Fairtrade cooperative in Nicaragua reported higher revenues, school attendance, and empowerment than women in a conventional cooperative [40]. However, women’s increased participation in coffee farming adds to disproportionate domestic workload, and increases time poverty, with some authors pointing out the contradiction of market-based solutions that rely on continuous intensified labor and unpaid work to advance gender equity [151,152].

5.2.6. Identity, Quality of Life, and Mental Health

Strong biocultural ties are evident in rustic T-CAFSs managed by indigenous communities, such as Mixes and Zapotecs in Oaxaca [153,154], Tzeltales and Zoques in Chiapas [107,155], and Nahuas in Puebla [9]. The “Kuojtakiloyan”, for example, are agroecological landscapes carefully developed by the Nahuas, with up to 300 species spanning 13 of 19 recognized plant/fungal “life forms”, each playing an ecological or subsistence role, and where biodiversity and traditional identities are preserved [12]. These relationships transcend ethnic distinctions. Smallholder coffee farmers in Colombia’s Coffee Cultural Landscape describe their relationship with the landscape as central to their sense of place, identity, and well-being, citing emotional and cultural reasons for choosing to practice traditional coffee farming [156], while in Veracruz, most farmers reported keeping traditional CAFSs despite economic losses due to cultural significance, emphasizing environmental, economic, and cultural value [29]. Many report acceptable quality of life thanks to family, community life, and contact with nature, particularly among cooperative members, despite minimal education, distrust of authorities, inadequate health care, seasonal food insecurity, and low coffee income (USD 416–1115 annually) [157].
On the other hand, the transformation of coffee landscapes can be distressful: an ethnographic study in Risaralda, Colombia, documented high depressive symptoms and suicide rates among older male coffee farmers, linked to market-driven transformations such as ecotourism and “feminine coffee” that commercialize particular narratives and demand performances of idealized relationships with nature and gender roles [18].
Few studies address mental health among seasonal farmworkers. In Minas Gerais, Brazil, seasonal workers reported significantly higher anxiety, depression, and sleep impairment than permanent workers, reflecting insecurity between harvests [158], while in Southeast Brazil, depressive symptoms in coffee farmers were associated with pesticide exposure, tobacco use, chronic disease, and poor self-perceived health [16], consistent with evidence linking pesticide exposure to anxiety and depression [159].

6. Discussion

6.1. Human and Planetary Health Impacts of Coffee Farming

The results of this review show that coffee farming in Latin America is undergoing a profound trend of intensification, characterized by shade removal, higher agrochemical use and planting densities, and the replacement of Arabica with Robusta, alongside the expansion of coffee into new or forested areas. While some counter-trends exist, such as certification programs, these remain marginal and insufficient to offset the structural drivers of intensification: declining and volatile coffee revenues for coffee producers, climate change, devastating CLR outbreaks, weak institutional support, and migration. Caught in this precarious context, smallholders are forced to intensify production as a short-term strategy to sustain their livelihoods, undermining the ecological foundations of production and of human health, with impacts on local communities, ecosystems, and, ultimately, on planetary health.
This review shows that coffee intensification is exerting widespread pressure on six of the nine PBs (Figure 8). Approximately 3% of total deforestation in Latin America can be attributed to coffee farming, further aggravated by within-farm reductions on shade and ecological complexity, which, coupled with rising agrochemical use, result in a decline in biodiversity [49]. This in turn erodes key NCP for human and planetary health, such as soil fertilization and conservation, carbon sequestration, pollination, pest control, hydrological services, microclimate regulation, mitigation of extreme weather events, and livelihood diversification [59,68,75,80]. Nitrogen fertilization, shade removal, and deforestation also drive climate change, accounting for about 1% of global food systems’ GHG emissions [101,106,109]. Yet coffee itself is highly vulnerable to climate change, with Arabica yields and suitability projected to shrink drastically during the next decades, which may accelerate Robusta-driven deforestation and intensification [44]. We estimate that global coffee cultivation currently accounts for approximately 3% of the PBs for N and P biogeochemical flows, based on total cultivation area and fertilizer consumption estimates from Sporchia et al. [94], and average fertilization rates reported by Capa et al. [91]. At the upper end of the intensification gradient—if all coffee were produced in intensive systems using high fertilization rates—this contribution could rise to 6% and 10% of the N and P flow PBs, respectively.
These figures indicate that a considerable share of the global C, N, and P budgets are being consumed by coffee production, a non-nutritious crop that has historically been grown at much lower environmental costs under multifunctional CAFSs. Most of these environmental impacts result from two management practices: shade removal and agrochemical use. Thus, agroforestry and organic farming in multifunctional CAFSs offer an alternative to mitigate coffee’s environmental footprint by enhancing carbon sequestration, reducing fertilizer dependency, and fostering high levels of biodiversity, while simultaneously sustaining good coffee quality and productivity and supporting key NCP for human health, well-being, and resilience [8,13].
Health impacts of coffee farming are also largely mediated by agrochemical use and agroforestry. Pesticide exposure in intensified CASs is associated with acute poisonings, depression, reduced fertility, endocrine disruption, and elevated cancer risk among coffee farmworkers [16,17,120,124,125]. Over a hundred pesticides are used in coffee farming in the region, many highly hazardous and with evidence of environmental leakage and impacts on the population’s health [117,121,126]. On the other hand, high biodiversity in CAFSs increases contact with wildlife, resulting in stings, snakebites, and a higher incidence of Leishmaniasis [130,131,133]. More evidence is needed on other vector-borne diseases and zoonoses. Agroforestry also buffers coffee farmers from extreme heat and dehydration, potentially lowering risks for some non-communicable diseases. For example, chronic kidney disease of unknown origin (CKDu), widely reported among sugarcane and other agricultural workers, is often attributed to heat stress; notably, its incidence appears consistently lower among coffee-growing communities and farmworkers than among sugarcane workers or national averages [160,161,162,163,164]. While Arabica’s higher altitude and cooler conditions likely reduce heat exposure, agroforestry may provide additional protection, particularly in warmer Robusta plantations. Further research on these potential protective effects is needed.
Agrobiodiversity in CAFSs also reduces agrochemical dependence and losses to pests and diseases, buffers climate extremes, and diversifies livelihoods by providing secondary products such as timber, food, firewood, medicinal plants, and honey [15,86,93,134], improving income stability, autonomy, food diversity and security, and socioecological resilience, as shown during the COVID pandemic [14,139,141,142]. This resilience may also buffer the impacts of other shocks—such as coffee price drops and extreme weather—on mental health, migration, and violence, although evidence supporting this relationship is lacking. Finally, traditional coffee farming and contact with nature contribute positively to farmers’ quality of life and mental health [18,156,157].
Yet these dynamics unfold within social determinants that constrain human and planetary health. Coffee-growing communities are typically remote, underserved, and characterized by limited healthcare access, entrenched patriarchal norms, and low educational attainment, and most smallholders in Latin America live in persistent poverty [27], and landless, seasonal workers that form the backbone of coffee harvest labor face precarious working conditions and occasional human rights violations [34,41]. These conditions are linked to structural inequities embedded within the CVC, manifested in racialized labor regimes of “fincas”, unpaid labor of women, low prices set in speculative commodity markets, and externally imposed development agendas and epistemologies, facilitating the implementation of capitalistic solutions—including conventional intensification—ostensibly aimed at alleviating poverty but largely benefiting corporations and investors.
Although market-based solutions such as certification programs and corporate responsible sourcing have been promoted as ways to address poverty and environmental degradation, these schemes leave structural power asymmetries unaddressed, and sustainability niches remain small with market forces favoring cheap, high-volume production [137]. Jimenez-Soto [130] likewise questions whether biodiversity conservation can truly benefit farmworkers where inequities persist, noting that the narrative of CAFSs as spaces of well-being contrasts with workers’ lived experience of frequent bites and stings, while most seasonal farmworkers cannot afford rubber boots and other protective equipment. Ensuring dignified livelihoods and safe working conditions is therefore paramount to mitigate health hazards and resolve the false dichotomy between conservation, farmer well-being, and production.

6.2. Equity and Identity in the CVC

As some authors have pointed out, identity, ethnicity, culture, knowledge, and power structures are at play in CASs [8]. A remarkable difference lies in that, while conventional intensification requires financial capital, multifunctional CAFSs (particularly T-CAFSs) rely on “biocultural capital”, the ecological and cultural diversity accumulated over generations, and thus, the planned increase in agrobiodiversity in T-CAFSs represents “intensification without simplification” based on farmers’ labor and knowledge, rather than technology [77,165]. By preserving agrobiodiversity, genetic resources, and traditional knowledge, multifunctional T-CAFSs also foster identity, autonomy, food sovereignty, and resilience.
On the other hand, coffee intensification in Latin America is embedded in the context of colonial and neo-colonial legacies that impose hierarchies of peoples, knowledges, and modes of living and relating to nature, and which endure in the persisting devaluation of indigenous knowledge and the promotion of “modernization” agendas centered on farmers’ specialization, agricultural commodification, and conventional intensification based on closed technologies (which are impossible to manufacture, repair, or modify by farmers themselves, increasing dependence). These forces have eroded biocultural heritage and contributed to the broader “depeasantization” of coffee farmers. Such is the case, for example, of the Mame people in Chiapas, Mexico, whose language, culture, and traditional practices were largely lost during the 20th century under conditions of forced displacement, state persecution, and prolonged exploitation in fincas [166]. However, indigenous coffee producers have also found spaces to preserve and reinvent their identities and biocultural heritage, particularly in producer cooperatives, such as Tosepan Titataniske, which works to preserve Nahuat cultural heritage and agroecological knowledge in Mexico through educational projects, dictionaries, and the documentation of their taxonomic system [167].

6.3. Recommended Actions to Protect Planetary Health in Coffee Farming

This review highlights interventions to advance planetary health in coffee farming. While a detailed analysis falls beyond the scope of this review, two cross-cutting principles recur: agroecological management and equity.
Agroecological practices—such as diverse agroforestry, low-agrochemical or organic management, soil conservation, ecological or dry processing, minimal irrigation, and the intentional use of NCP to sustain productivity and diversify livelihoods—are consistently associated with benefits for human well-being and the environment [93,103,104,105], and should be supported to shift coffee production toward multifunctional CAFSs. On the other hand, advancing equity in the coffee value chain requires addressing its distributional, procedural, and recognitional dimensions [168]. Key measures may include:
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Strengthening national coffee institutions and sectoral development plans, including funding mechanisms to support producers during crises.
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Expanding farmer access to credit, land, CLR-resistant seed varieties, inputs, and technical assistance oriented to sustainable practices.
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Providing financial incentives for agroecological production in the form of direct subsidies, payments for ecosystem services, guaranteed minimum prices, and market premiums.
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Developing pricing schemes that internalize social and environmental costs, for instance through targeted taxation mechanisms.
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Incorporating social and environmental labeling.
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Promoting a rational and limited use of pesticides, banning highly hazardous pesticides, and enforcing restrictions.
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Promoting integrated pest management prioritizing complementary alternatives such as biological control, agroforestry, and emerging genomic tools.
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Establishing and enforcing minimum working conditions and safety standards, including provisions to ensure that all farmworkers have proper protective equipment.
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Integrating gender perspectives in sectoral programs, promoting female leadership and specifically addressing time poverty.
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Expanding healthcare, social security, and education services in coffee-growing regions, ensuring access for both resident and seasonal workers.
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Investing in infrastructure and local market access, including for secondary products.
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Establishing mechanisms for an open and equitable access to technological innovations, such as genomic tools for pest control.
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Shortening value chains by linking producers directly to urban consumers.
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Promoting horizontal knowledge exchange and recovery of traditional management practices, protecting biocultural heritage, native seed diversity, and cultural traditions.
Producer cooperatives and broader farmer movements, such as Via Campesina, are key actors for sustainable coffee farming and should be recognized as strategic partners. On the other hand, commodity, roasting and retailer corporations should strengthen sustainability and human rights standards, monitoring, and enforcement, and establish fair price schemes. Governments in consuming countries can contribute by establishing and enforcing strict human rights, and environmental and tax policies for multinational corporations based in their territories. Coffee-related taxes in consuming countries could be redirected to support producers and sustainable practices. Moreover, reaching an international agreement to control supply could restore coffee prices and limit the planetary health impacts of overproduction.

6.4. The DPSEEA Framework of Coffee Farming’s Impacts on Planetary Health

The pathways through which coffee farming affects planetary health are synthesized in the DPSEEA model (Figure 9), together with recommended actions to mitigate health risks, protect ecosystems, and enhance the regenerative potential of coffee farming.

6.5. Strengths, Limitations, and Research Gaps

This review has several strengths. Its novel integration of analytical frameworks such as Planetary Boundaries, Nature’s Contributions to People, and DPSEEA provides a comprehensive lens to assess the planetary health impacts of coffee farming. It draws on a wide range of disciplines, linking ecological, agronomic, epidemiological, and socioeconomic perspectives, contributing to bridging fragmented fields of research to provide the first broad-scope review on the topic. Finally, while focused on Latin America, the study provides relevant insights for coffee farming around the world.
However, this review has multiple limitations. This study did not follow a formalized protocol for exhaustive literature retrieval, selection, and analysis. The search was limited to Pubmed and Scopus, excluding the relevant literature found in other databases. Results were subjectively sorted and screened by relevance, excluding almost 300 papers. No formal quality appraisal was conducted, and the reliance on narrative synthesis limits the assessment of evidence across themes. Additionally, results in Portuguese were excluded, a significant limitation given that Brazil is the largest coffee producer. Although efforts were made to include a broad disciplinary scope, social sciences are likely underrepresented in the selected databases. The inferences linking drivers, CASs, and environmental changes with key determinants of health such as migration, gender equity, violence, and mental health were based on limited available evidence. Finally, causal relationships between coffee management, ecological processes, and health outcomes remain difficult to establish, as most studies are correlational and potentially influenced by confounding factors.
This review highlights key research gaps. These include updated measurements of coffee-driven deforestation and the extent of shade-coffee systems; the genetic diversity and resilience of native coffee seeds; sustainable cultivation methods for Robusta; epidemiological research on coffee-growing communities, particularly regarding mental health, substance use, violence, gender-based violence, migration, suicide, infectious and vector-borne diseases, food security, and nutrition; and the potential role of coffee agroecology in modifying these risks. Finally, more research is needed on indigenous knowledge and practices, ecological pest control mechanisms, the impact of coffee-oriented public policies on planetary health outcomes, and field studies to assess strategies to support sustainable coffee production.

7. Conclusions

This review shows that while conventional intensification may support higher yields in the short term, it does so at significant costs to human and planetary health. While multifunctional agroforestry coffee farming can reconcile production with environmental sustainability and human well-being, persisting structural inequities in the global CVC must be addressed. Smallholder farmers and farmworkers, many from historically marginalized groups, bear the greatest risks while capturing the smallest share of value. These inequities drive ecological simplification, cultural erosion, and health vulnerabilities, limiting the adoption (and preservation) of sustainable practices. Without addressing these systemic imbalances, the potential benefits of these agroecological strategies remain marginal. Therefore, a planetary health approach to coffee farming calls for policies and institutions that incentivize and strengthen agroecological management, secure equitable livelihoods, and recognize the biocultural heritage of coffee landscapes.
Coffee farming offers an interesting case study on the interconnections between agrifood systems and planetary health in the Anthropocene, as the tensions observed between intensification and sustainability, well-being and global trade, and equity and profit are characteristic of broader challenges across tropical agriculture. Multifunctional coffee farming demonstrates that coffee production and farmer well-being are possible within planetary boundaries—but only within a socioeconomic framework that ensures fair prices, empowers historically marginalized producers, protects livelihoods, and recognizes the biocultural foundations of sustainable coffee landscapes.
Finally, this review proposes the integration of the Planetary Boundaries, Nature’s Contributions to People, and DPSEEA frameworks for the interdisciplinary analysis of socioeconomic, environmental, and human health factors within coffee farming, an approach that may be useful to other planetary health challenges beyond the coffee sector.

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/challe16040057/s1: Table S1: Search queries used; Table S2: List of included studies; Table S3: Data for Figure 5; Table S4: Data for Figure 7.

Author Contributions

E.H.-G.: conceptualization, methodology, literature search, investigation, data curation, writing—original draft preparation, and visualization. H.R.-R.: writing—review and editing. All authors have read and agreed to the published version of the manuscript.

Funding

No funding was received for conducting this study.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

All authors consent to the publication of this work.

Acknowledgments

During the preparation of this manuscript, ChatGTP-5 was used for stylistic enhancement of Figure 2 and Figure 6, originally produced by the graphic artist Tamara Davila for this publication. The authors verified the results and take full responsibility for the content. The authors would like to thank Samana Shreedhar for kindly reviewing the manuscript and providing feedback, as well as the coffee-growing communities of Chiapas, Mexico, that first brought the dynamics discussed in this paper to their attention, and in particular to Isel, Floricelda, and Limner Roblero.

Conflicts of Interest

The authors declare no relevant financial or non-financial interests to disclose.

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Figure 1. Examples of coffee agroecosystems in Latin America: (a) a traditional coffee agroforestry (“shaded”) system (T-CAFS); and (b) an unshaded (“sun”) coffee agroecosystem (UCAS). Photo credit: Emiliano Hersch González, 2020.
Figure 1. Examples of coffee agroecosystems in Latin America: (a) a traditional coffee agroforestry (“shaded”) system (T-CAFS); and (b) an unshaded (“sun”) coffee agroecosystem (UCAS). Photo credit: Emiliano Hersch González, 2020.
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Figure 2. Five categories of CAS across the coffee intensification gradient used in this review. Modified from Moguel & Toledo, 1999 [9].
Figure 2. Five categories of CAS across the coffee intensification gradient used in this review. Modified from Moguel & Toledo, 1999 [9].
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Figure 3. Outline summary of the review process.
Figure 3. Outline summary of the review process.
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Figure 4. Included literature by country of origin.
Figure 4. Included literature by country of origin.
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Figure 5. Yearly reference Arabica coffee price (C-price) in USD per pound, not adjusted for inflation (blue continuous line) and inflation-adjusted (red dotted line). Data from Macrotrends (C-Price) [36] and the US Bureau of Labor Statistics (consumer price index) [37].
Figure 5. Yearly reference Arabica coffee price (C-price) in USD per pound, not adjusted for inflation (blue continuous line) and inflation-adjusted (red dotted line). Data from Macrotrends (C-Price) [36] and the US Bureau of Labor Statistics (consumer price index) [37].
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Figure 6. Key NCP supporting coffee farmers and coffee-growing communities.
Figure 6. Key NCP supporting coffee farmers and coffee-growing communities.
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Figure 7. Deforestation risk attributable to coffee expansion among 10 Latin American countries in 2017. Data from Pendrill et al., 2020 [95].
Figure 7. Deforestation risk attributable to coffee expansion among 10 Latin American countries in 2017. Data from Pendrill et al., 2020 [95].
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Figure 8. Main impacts of the coffee intensification gradient extremes on the Planetary Boundaries and Human Health (bold). Green continuous arrows: positive impacts; red dashed arrows: negative impacts; black continuous lines: management practices; dotted lines (green and red): theoretical links. The width of the arrow represents the strength of evidence and magnitude of the impact.
Figure 8. Main impacts of the coffee intensification gradient extremes on the Planetary Boundaries and Human Health (bold). Green continuous arrows: positive impacts; red dashed arrows: negative impacts; black continuous lines: management practices; dotted lines (green and red): theoretical links. The width of the arrow represents the strength of evidence and magnitude of the impact.
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Figure 9. The DPSEEA model of coffee intensification and planetary health. Impacts on planetary boundaries (State) are shown in blue. ↑: increase; ↓: decrease. More detailed relationships between the state, exposure, and effect elements are shown on Figure 8.
Figure 9. The DPSEEA model of coffee intensification and planetary health. Impacts on planetary boundaries (State) are shown in blue. ↑: increase; ↓: decrease. More detailed relationships between the state, exposure, and effect elements are shown on Figure 8.
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Table 1. Sample of keywords used in the database search (see S1 for full list).
Table 1. Sample of keywords used in the database search (see S1 for full list).
ElementKeyword Sample
CAS in Latin AmericaCoffee, system, growing, harvesting, farming, agroecosystem, agroforestry, farming, plantation, smallholder, shaded, sun, unshaded, monoculture, landscapes, etc.
Planetary boundariesClimate change, global warming, biodiversity, conservation, nitrogen, phosphorus, land use, land system, deforestation, pollution, freshwater, agrochemical, fertilizer, pesticide, etc.
Geographical delimitationList of 18 Latin American countries
Human health and its determinantsHealth, exposure, infections, zoonosis, vector, food security, nutrition, income, poverty, migration, violence, mental, gender, intoxication, water security, extreme weather, bite, sting, etc.
Table 2. Selection criteria.
Table 2. Selection criteria.
Inclusion Criteria
Peer-reviewed research papers, reviews, and book chapters, and gray literature including reports, policy documents, conference papers, theses, and preprints clearly reporting data sources and methodologies.
Studies reporting results related to coffee farming in Latin America.
Studies that describe the drivers of change in CASs and their impact on six of the PBs (climate change, biosphere integrity, land system change, biogeochemical flows, freshwater use, and novel entities) OR studies that describe the effects of CASs, their transformations, or their environmental impacts on the health of human populations and its determinants.
Studies that provide key insights in terms of thematic representativeness, strength of evidence, and alignment with the DPSEEA model.
Studies published in English or Spanish.
Exclusion criteria:
Studies whose results are not related to coffee farming in Latin America.
Studies describing ecological impacts of CASs that cannot be classified under at least one of the six PBs chosen.
Studies describing health determinants and outcomes of coffee farmers, farmworkers, or coffee-growing communities that cannot be attributed to CASs, the drivers of their transformations, or the change in at least one of the six PBs chosen.
Table 3. Carbon stocks in selected CASs and land systems. Adapted from Libert-Amico & Paz-Pellat, 2018 [13].
Table 3. Carbon stocks in selected CASs and land systems. Adapted from Libert-Amico & Paz-Pellat, 2018 [13].
Land SystemSoil (t C ha)Biomass (t C ha)Total (t C ha)
T-CAFS18080260
M-CAFS13043173
UCAS1207127
Cornfield 66268
Grassland80888
Table 4. Highly hazardous pesticides used in coffee farming in Latin America.
Table 4. Highly hazardous pesticides used in coffee farming in Latin America.
PesticideHuman Health HazardsEnvironmental Hazards
ChlorpyrifosReproductive toxicant (GHS)Highly toxic to bees (EPA)
Copper II HydroxideFatal if inhaled (GHS)Very toxic to aquatic organisms and very persistent in water, soil, or sediment (EPA)
Cypermethrin Highly toxic to bees (EPA)
CyproconazoleReproductive toxicant (GHS)
DiazinonProbable carcinogen (IARC)Highly toxic to bees (EPA)
DisulfotonExtremely high acute toxicity (WHO Ia)
DiuronProbable carcinogen (EPA)
EndosulfanFatal if inhaled (GHS)Persistent Organic Pollutant (Stockholm convention)
EpoxiconazoleProbable carcinogen (EPA, GHS), reproductive toxicant (GHS)
GlyphosateProbable carcinogen (IARC)
IprodioneProbable carcinogen (EPA)
MalathionProbable carcinogen (IARC)Highly toxic to bees (EPA)
MancozebProbable carcinogen (EPA, GHS), reproductive toxicant (GHS), endocrine disruptor (EU)
Methyl ParathionExtremely high acute toxicity (WHO Ia), fatal if inhaled (GHS)Very toxic to aquatic organisms (EPA)
MethomylHigh acute toxicity (WHO 1b)Highly toxic to bees (EPA)
Paraquat DichlorideFatal if inhaled (GHS)
Pendimethalin Very bioaccumulative, very persistent in water, soils, or sediments (EPA)
PermethrinProbable carcinogen (EPA)Highly toxic to bees (EPA)
SimazineProbable carcinogen (GHS), probable reproductive toxicant (GHS)
Thiamethoxam Highly toxic to bees (EPA)
TriadimenolReproductive toxicant (GHS)
TriazophosHigh acute toxicity (WHO 1b)
Note: Highly hazardous pesticides reportedly used in coffee cultivation in Latin America [84,117,118,120,121], classified as such by the World Health Organization (WHO), the U.S. Environmental Protection Agency (EPA), the Globally Harmonized System of Classification and Labelling of Chemicals (GHS), the International Agency for Research on Cancer (IARC), and the Stockholm convention, compiled in the PAN list of highly hazardous pesticides [122].
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Hersch-González, E.; Riojas-Rodríguez, H. The Planetary Health Impacts of Coffee Farming Systems in Latin America: A Review. Challenges 2025, 16, 57. https://doi.org/10.3390/challe16040057

AMA Style

Hersch-González E, Riojas-Rodríguez H. The Planetary Health Impacts of Coffee Farming Systems in Latin America: A Review. Challenges. 2025; 16(4):57. https://doi.org/10.3390/challe16040057

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Hersch-González, Emiliano, and Horacio Riojas-Rodríguez. 2025. "The Planetary Health Impacts of Coffee Farming Systems in Latin America: A Review" Challenges 16, no. 4: 57. https://doi.org/10.3390/challe16040057

APA Style

Hersch-González, E., & Riojas-Rodríguez, H. (2025). The Planetary Health Impacts of Coffee Farming Systems in Latin America: A Review. Challenges, 16(4), 57. https://doi.org/10.3390/challe16040057

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