Tropical deforestation continues at alarming rates with profound impacts on ecosystems, climate, and livelihoods, prompting renewed commitments to halt its continuation. Although it is well established that agriculture is a dominant driver of deforestation, rates and mechanisms remain disputed and often lack a clear evidence base. We synthesize the best available pantropical evidence to provide clarity on how agriculture drives deforestation. Although most (90 to 99%) deforestation across the tropics 2011 to 2015 was driven by agriculture, only 45 to 65% of deforested land became productive agriculture within a few years. Therefore, ending deforestation likely requires combining measures to create deforestation-free supply chains with landscape governance interventions. We highlight key remaining evidence gaps including deforestation trends, commodity-specific land-use dynamics, and data from tropical dry forests and forests across Africa.

• The links between transparency and sustainabilityare poorly understood. • We present a typology of information for supply chain governance. • The coverage of existing transparencyinitiatives is limited and biased in scope. • We present ten ways in which transparency can improve sustainability governance.

Understanding the effects of cash crop expansion on natural forest is of fundamental importance. However, for most crops there are no remotely sensed global maps¹, and global deforestation impacts are estimated using models and extrapolations. Natural rubber is an example of a principal commodity for which deforestation impacts have been highly uncertain, with estimates differing more than fivefold^1–4. Here we harnessed Earth observation satellite data and cloud computing⁵ to produce high-resolution maps of rubber (10 m pixel size) and associated deforestation (30 m pixel size) for Southeast Asia. Our maps indicate that rubber-related forest loss has been substantially underestimated in policy, by the public and in recent reports^6–8. Our direct remotely sensed observations show that deforestation for rubber is at least twofold to threefold higher than suggested by figures now widely used for setting policy⁴. With more than 4 million hectares of forest loss for rubber since 1993 (at least 2 million hectares since 2000) and more than 1 million hectares of rubber plantations established in Key Biodiversity Areas, the effects of rubber on biodiversity and ecosystem services in Southeast Asia could be extensive. Thus, rubber deserves more attention in domestic policy, within trade agreements and in incoming due-diligence legislation.

Summary: Through an increasingly globalized supply chain, local consumption of goods and services has impacts around the world. The carbon footprint can be used to link local consumption to global greenhouse gas emissions. This study describes the development and use of REAP Petite, a household‐level footprint calculator. We describe how the tool integrates geodemographic information with user‐inputted data; allows users to compare their footprint with others in their community; and presents them with targeted pledges to help them reduce their impact. Such tools can help individuals to see the impact their consumption has on emissions and help promote alternative behaviors. Based on the lessons learned during tool development and through using the tool with individuals in the UK and Sweden, we make recommendations for the development of new footprinting tools for use in the public domain. We highlight the benefits of using bottom‐up methods for calculating footprints; recommend that designers consider future‐proofing their tools; discuss the trade‐off between complexity and usability; and recommend that designers consider going “beyond carbon” to increase the appeal of tools to a wider audience. We also highlight the importance of providing opportunity for users to compare their footprints with those of others and of monitoring and evaluating user engagement with the tool.

Countries’ reliance on global food trade networks implies that regionally different climate change impacts on crop yields will be transmitted across borders. This redistribution constitutes a significant challenge for climate adaptation planning and may affect how countries engage in cooperative action. This paper investigates the long-term (2070–2099) potential impacts of climate change on global food trade networks of three key crops: wheat, rice and maize. We propose a simple network model to project how climate change impacts on crop yields may be translated into changes in trade. Combining trade and climate impact data, our analysis proceeds in three steps. First, we use network community detection to analyse how the concentration of global production in present-day trade communities may become disrupted with climate change impacts. Second, we study how countries may change their network position following climate change impacts. Third, we study the total climate-induced change in production plus import within trade communities. Results indicate that the stability of food trade network structures compared to today differs between crops, and that countries’ maize trade is least stable under climate change impacts. Results also project that threats to global food security may depend on production change in a few major global producers, and whether trade communities can balance production and import loss in some vulnerable countries. Overall, our model contributes a baseline analysis of cross-border climate impacts on food trade networks.