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The accelerating loss of tropical forests in the 21st century has eliminated cooling services provided by trees in low latitude countries. Cooling services can protect rural communities and outdoor workers with little adaptive capacity from adverse heat exposure, which is expected to increase with climate change. Yet little is still known about whether cooling services can mitigate negative impacts of heat on labor productivity among rural outdoor workers. Through a field experiment in Indonesia, we show that worker productivity was 8.22% lower in deforested relative to forested settings, where wet bulb globe temperatures were, on average, 2.84 °C higher in deforested settings. We demonstrate that productivity losses are driven by behavioral adaptations in the form of increased number of work breaks, and provide evidence that suggests breaks are in part driven by awareness of heat effects on work. Our results indicate that the cooling services from forests have the potential for increasing resilience and adaptive capacity to local warming. [ABSTRACT FROM AUTHOR]

• Average ambient temperatures are 2.6–8.3 °C cooler in forests than open areas. • Work shifts, breaks, and thus risks of heat stress differ between those working only in open areas (74%) and those working in forests and open areas (26%). • Increasing temperatures affect the working behavior of 98% of our sample via greater heat exposure and more frequent breaks. • Those working in both forests and open areas more are impacted more by hotter temperatures and will take more steps to adapt in the future. • Exposure above the Threshold Limit Value can be up to 6.5 h a day for those working only in open areas. Climate change and land use change are increasing average and extreme temperatures. Hotter temperatures can detrimentally affect workers' health and their economic productivity and livelihoods, especially in rural areas in industrializing countries that may be more vulnerable and less resilient. A growing literature has examined these factors at large spatial scales, yet few studies have done so at finer scales. Micro-level data from developing regions is needed to understand the extent of heat exposure, as well as current and future adaptation strategies of working, healthy, and rural populations. We fill this gap using objective environmental measurements from 3M TM Questemp TM 46 Heat Stress Monitors, as well as survey data from working, healthy, and rural communities in East Kalimantan, Indonesia. Our data contain two groups: those who work in only open areas, and those who work in both forests and open areas. We document workers' livelihood strategies, work schedules, perceptions of how temperatures impact their work, and future adaptation strategies for even hotter days. Ambient temperatures are 2.6–8.3 °C cooler in forests compared to open areas, indicating the temperature effects of deforestation can be immediate and significant. Those working only in open areas face up to 6.5 h of exposure to temperatures above the accepted Threshold Limit Value for worker well-being. Workers adapt to hotter temperatures by altering the timing of their work shifts and breaks, indicating our sample is already adapting to increasing temperatures from climate and land use change. We also find differential adaptation strategies between those working only in open areas compared to those working in both forests and open areas, suggesting current acclimatization may be a factor in how people adapt. Our results suggest the need for adaptation and mitigation policies tailored to the unique constraints of rural workers that specifically incorporate extant adaptation strategies. [ABSTRACT FROM AUTHOR]

Over half of the world's tropical forests are used for timber extraction by selective logging. Even though these forests are degraded to a variable degree, they are still important for tropical forest biodiversity. It is not yet known how biodiversity is impacted during and immediately after logging, and how fast it recovers. Here, we use ecoacoustics, and specifically the recording and analysis of soundscape dawn time series, to monitor the immediate impact and early recovery of biodiversity after selective logging. We describe the results of capturing a dawn time series of soundscapes in a Bornean tropical lowland forest before, during, and after selective logging. Soundscape saturation, which is correlated with the number of different calls that make up the soundscape, dropped significantly immediately after selective logging was carried out. The reduced saturation was mostly due to the loss of bird vocalizations, whereas insects did not seem to be impacted. In a space-for-time recording from the same area, soundscape saturation during the equivalent time of day recovered after one year, however began to drop again in years 2 and 3 after logging. Our results are suggestive of a strong effect of logging and seasonality on tropical forest soundscapes. Being able to track biodiversity changes and recovery over time in tropical forests managed for timber production can ultimately improve our odds of avoiding more species extinctions, by providing evidence-based recommendations on how much time forests need to recover biodiversity. • We used soundscapes to monitor biodiversity before, during and after logging. • Soundscape saturation dropped immediately after selective logging. • Change was due to the loss of bird, not insect vocalizations. [ABSTRACT FROM AUTHOR]

Background: Previous studies focusing on urban, industrialised regions have found that excess heat exposure can increase all-cause mortality, heat-related illnesses, and occupational injuries. However, little research has examined how deforestation and climate change can adversely affect work conditions and population health in low latitude, industrialising countries., Methods: For this modelling study we used data at 1 km 2 resolution to compare forest cover and temperature conditions in the Berau regency, Indonesia, between 2002 and 2018. We used spatially explicit satellite, climate model, and population data to estimate the effects of global warming, between 2002 and 2018 and after applying 1·0°C, 1·5°C, and 2·0°C of global warming to 2018 temperatures, on all-cause mortality and unsafe work conditions in the Berau regency, Indonesia., Findings: Between 2002 and 2018, 4375 km 2 of forested land in Berau was cleared, corresponding to approximately 17% of the entire regency. Deforestation increased mean daily maximum temperatures by 0·95°C (95% CI 0·97-0·92; p<0·0001). Mean daily temperatures increased by a population-weighted 0·86°C, accounting for an estimated 7·3-8·5% of all-cause mortality (or 101-118 additional deaths per year) in 2018. Unsafe work time increased by 0·31 h per day (95% CI 0·30-0·32; p<0·0001) in deforested areas compared to 0·03 h per day (0·03-0·04; p<0·0001) in areas that maintained forest cover. With 2·0°C of additional future global warming, relative to 2018, deforested areas could experience an estimated 17-20% increase in all-cause mortality (corresponding to an additional 236-282 deaths per year) and up to 5 h of unsafe work per day., Interpretation: Heat exposure from deforestation and climate change has already started affecting populations in low latitude, industrialising countries, and future global warming indicates substantial health impacts in these regions. Further research should examine how deforestation is currently affecting the health and wellbeing of local communities., Funding: University of Washington Population Health Initiative., Translation: For the Bahasa translation of the abstract see Supplementary Materials section., Competing Interests: Declaration of interests We declare no competing interests., (Copyright © 2021 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license. Published by Elsevier Ltd.. All rights reserved.)