Assessing progress towards meeting major international objectives related to nature and nature's contributions to people

In recognition of the importance of nature, its contributions to people and role in underpinning sustainable development, governments adopted a Strategic Plan on Biodiversity 2011-2020 through the Convention on Biological Diversity (CBD) containing 20 "Aichi Biodiversity Targets" and integrated many of these into the Sustainable Development Goals (SDGs) adopted through the United Nations in 2015. Additional multilateral environmental agreements (MEAs) target particular aspects of nature (e.g., Ramsar Convention on Wetlands; Convention on Migratory Species), drivers of biodiversity loss (e.g., Convention on International Trade in Endangered Species of Wild Fauna and Flora), or responses (e.g., World Heritage Convention). These various MEAs provide complementary fora in which governments strive to coordinate efforts to reduce the loss and degradation of nature, and to promote sustainable development. In this chapter, we assess, through a systematic review process and quantitative analysis of indicators, progress towards the 20 Aichi Targets under the Strategic Plan (and each of the 54 elements or components of these targets), targets under the SDGs that are relevant to nature and nature's contributions to people (NCP), and the goals and targets of six other MEAs. We consider the relationships between the SDGs, nature and the contributions of Indigenous Peoples and Local Communities (IPLCs) to achieving the various targets and goals, the impact of progress or lack of it on IPLCs, the reasons for variation in progress, implications for a new Strategic Plan for Biodiversity beyond 2020, and key knowledge gaps.For the 44 SDG targets assessed, including targets for poverty, hunger, health, water, cities, climate, oceans and land (Goals 1, 2, 3, 6, 11, 13, 14, 15), findings suggest that current negative trends in nature will substantially undermine progress to 22 SDG targets and result in insufficient progress to meet 13 additional targets (i.e. 80 per cent (35 out of 44) of the assessed targets) {3.3.2.1; 3.3.2.2}(established but incomplete). Across terrestrial, aquatic and marine ecosystems, current negative trends in nature and its contributions will hamper SDG progress, with especially poor progress expected towards targets on water security, water quality, ocean pollution and acidification. Trends in nature's contributions relevant to extreme event vulnerability, resource access, small-scale food production, and urban and agricultural sustainability are negative and insufficient for achieving relevant targets under SDGs 1, 2, 3, and 11. This has negative consequences for both the rural and urban poor who are also directly reliant on declining resources for consumption and income generation {3.3.2.2}. For a further 9 targets evaluated in SDGs 1, 3 and 11 a lack of knowledge on how nature contributes to targets (4 targets) or gaps in data with which to assess trends in nature (5 targets) prevented their assessment.Fil: Butchart, Stuart. London Metropolitan University; Reino UnidoFil: Miloslavich, Patricia. University of Western Australia; AustraliaFil: Reyers, Belinda. No especifíca;Fil: Galetto, Leonardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; ArgentinaFil: Subramanian, Suneetha M.. No especifíca;Fil: Adams, Cristina. No especifíca;Fil: Palomo, Maria Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Museo Argentino de Ciencias Naturales "Bernardino Rivadavia"; ArgentinaFil: McElwee, Pamela. No especifíca;Fil: Meretsky, Vicky J.. No especifíca;Fil: Morsello, Carla. No especifíca;Fil: Nel, Jeanne. No especifíca;Fil: Lynn Newberry, Teresa. No especifíca;Fil: Pacheco, Diego. No especifíca;Fil: Pyhala, Aili. No especifíca;Fil: Rossi Heras, Sergio. No especifíca;Fil: Roy, Joyashree. No especifíca;Fil: Ruiz-Mallén, Isabel. No especifíca;Fil: Salpeteur, Matthieu. No especifíca;Fil: Santos-Martin, Fernando. No especifíca;Fil: Saylor. Kirk. No especifíca;Fil: Schaffartzik, Anke. No especifíca;Fil: Sitas, Nadia. No especifíca;Fil: Speranza, Ifejika. No especifíca;Fil: Suich, Helen. No especifíca;Fil: Tittensor, Derek. No especifíca;Fil: Carignano, Patricia. No especifíca;Fil: Tsioumani, Elsa. No especifíca;Fil: Whitmee, Sarah. No especifíca;Fil: Wilson, Sarah. No especifíca;Fil: Wyndham, Felice. No especifíca;Fil: Zorondo-Rodriguez, Francisco. No especifíca

Agrarian transition in the uplands of central Vietnam: drivers of market-oriented land-use and land-cover change

2019 Spring.Includes bibliographical references.This study presents an analysis of changing land-use and land-cover in the North Central Coast region of Vietnam for the period in recent decades, during which rural upland communities have become partially integrated into commodity markets. Market integration has resulted from the extension of transportation network infrastructure under the East-West Economic Corridor (EWEC) project completed in mid-2006. This project has improved market connectivity and accessibility between rural and urban areas, creating flows of goods, information, and money induce agrarian transition and influence land-use / land-cover change processes. Analysis of satellite imagery over the last decade shows some signs of possible agricultural intensification along the Highway 9 corridor, while elsewhere in the study area a clear and consistent trendline cannot be ascertained. Confounding factors include usability of imagery, temporal gaps in collection, and the resolution of available and usable imagery. The pattern of changing land-cover emerging along Highway 9 is hypothesized to result from changing land rents, where lower transportation costs and higher agricultural prices increase the profitability of cash cropping, incentivizing local populations to engage in market-oriented production. Such a microeconomic response would be consistent with von Thünen's extrinsic theory of land rent, as well as the multi-scalar frameworks of teleconnections and telecoupling. These dynamics are explored at the village level through a spatially explicit agent-based model that simulates household decision-making using empirically-fitted rules, to better understand the process of transition from subsistence cropping to a mixed mode of production with cash cropping