Metropolitan land-change science: A framework for research on tropical and subtropical forest recovery in city-regions

In efforts to promote transitions to sustainability in city-regions, government and nongovernment actors throughout the world are devising comprehensive sustainability strategies and implementing a variety of environmental policies. Social actors in many city-regions view forest stewardship as an important element of this integrated approach. Generally, urban sustainability goals are guided by the principles of ecological integrity, environmental quality, social equity, social inclusion, and social justice. In other words, sustainable urban development should foster a good quality of life for all by providing equitable access to adequate economic opportunity, housing, education, public services, ecosystem services, and environmental amenities. Governance structures should pursue these goals democratically with legitimacy, transparency, and accountability. Effective sustainability planning and management depend on the reliability of land-use monitoring and modeling approaches. They also require field-based, qualitative empirical research to understand the complex social dynamics that are invisible from space. The aim of this paper is to encourage international, cross-disciplinary dialogue on the conceptual, theoretical, methodological, and practical groundwork necessary to effectively carry out metropolitan land-change science, particularly for rapidly expanding small- and medium-sized cities in developing countries. I begin by presenting the paper's central conceptual and theoretical framework. Next, I explore existing analytical and methodological approaches to the study of land-use dynamics in metropolitan regions. After a brief discussion of specific opportunities and challenges for collaborative, interdisciplinary research in support of metropolitan land-change science, I conclude by proposing a four-part agenda for coordinated investigation of tropical and subtropical forest recovery in city-regions worldwide.