A major reduction in global deforestation is needed to mitigate climate change and biodiversity loss. Recent private sector commitments aim to eliminate deforestation from a company's operations or supply chain, but they fall short on several fronts. Company pledges vary in the degree to which they include timebound interventions with clear definitions and criteria to achieve verifiable outcomes. Zero-deforestation policies by companies may be insufficient on their own to achieve broader impact due to leakage, lack of transparency and traceability, selective adoption, and smallholder marginalization. Public-private policy mixes are needed to increase the effectiveness of supply-chain initiatives aimed at reducing deforestation. We review current supply-chain initiatives, their effectiveness, the challenges they face, and identify knowledge gaps for complementary public-private policies.

SignificanceDemand for agricultural commodities is the leading driver of tropical deforestation. Many corporations have pledged to eliminate forest loss from their supply chains by purchasing only certified “sustainable” products. To evaluate whether certification fulfills such pledges, we applied statistical analyses to satellite-based estimates of tree cover loss to infer the causal impact of a third-party certification system on deforestation and fire within Indonesian oil palm plantations. We found that certification significantly reduced deforestation, but not fire or peatland clearance, among participating plantations. Moreover, certification was mostly adopted in older plantations that contained little remaining forest. Broader adoption by oil palm growers is likely needed for certification to have a large impact on total forest area lost to oil palm expansion.

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As one of the few countries in Latin America to have reversed persistent losses in tree cover, Chile may hold important insights for forest transition theory. However, existing studies have not provided methodologically consistent analyses at sufficient temporal and spatial scales to properly assess the state of Chile's forest transition. In the current study, we generate high-resolution maps of Chilean land use change between 1986, 2001 and 2011. We couple remote sensing with a review of historic assessments of Chile's forest resources to document long-term trends in forest extent. This historical review identified multiple discrete forest transitions throughout Chile's history. These fluctuations in forest clearing emphasize that the cultural, economic and political forces that precipitate forest transitions can all be reversed. The remote sensing analysis calls into question official statistics indicating an expansion of native forests between 1986 and 2011. We find that increases in forest cover were largely driven by the expansion of forest plantations, rather than through native forest regeneration. Plantation forests directly displaced native forests in many locations, especially during the 1986-2001 period. Nevertheless, declines in the rate of forest conversion during the 2001-2011 period may suggest that plantations are beginning to ease pressure on native forests.

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Rising inequalities and accelerating global environmental change pose two of the most pressing challenges of the twenty-first century. To explore how these phenomena are linked, we apply a social-ecological systems perspective and review the literature to identify six different types of interactions (or “pathways”) between inequality and the biosphere. We find that most of the research so far has only considered one-directional effects of inequality on the biosphere, or vice versa. However, given the potential for complex dynamics between socioeconomic and environmental factors within social-ecological systems, we highlight examples from the literature that illustrate the importance of cross-scale interactions and feedback loops between inequality and the biosphere. This review draws on diverse disciplines to advance a systemic understanding of the linkages between inequality and the biosphere, specifically recognizing cross-scale feedbacks and the multidimensional nature of inequality.

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