Indigenous territories are facing increasing pressures from numerous legal and illegal activities that are pushing commodity frontiers within their limits, frequently causing severe environmental degradation and threatening indigenous territorial rights and livelihoods. In Central and South America, after nearly three decades of participatory mapping projects, interest is mounting among indigenous peoples in the use of new technologies for community mapping and monitoring as a means of defense against such threats. Since 2014, several innovative projects have been developed and implemented in the region to demonstrate and train indigenous communities in the use of small drones for territorial mapping and monitoring. In this paper, we report on five projects carried out in Peru, Guyana, and Panama. For each one we describe the context, main objectives, positive outcomes, challenges faced, and opportunities ahead. Preliminary results are promising and have gained the interest of many indigenous societies who envision this technology as a powerful tool to protect their territories and strengthen their claims regarding specific environmental liabilities and justice issues. Based on the results presented here and a review of previous similar studies, we offer a critical discussion of some of the main opportunities and challenges that we foresee regarding the use of small drones for indigenous territorial mapping and monitoring. In addition, we elaborate on why a careful, well thought-out, and progressive adoption of drones by indigenous peoples may trigger grassroots innovations in ways conducive to greater environmental justice and sustainability.
Tropical multiple-use plants provide an array of ecosystem services, including providing food for wildlife, non-timber forest products (NTFPs) and commercial logs. As land-use and land-cover change (LUCC) continues in tropical forests, questions on whether the ecosystem services they provide can be sustained become more pressing. As particular species of plants are targeted for provisioning services, such as commercial logging, the implications for other ecosystem services are often unknown. In this paper we drew on the traditional knowledge of the Makushi and Wapishiana Amerindians of Southern Guyana, and multiple-use plants to gauge the ecosystem services that may be compromised as tropical forests undergo change. An inventory of tree and palm species was classified into one or more of four resource-use classes: commercial timber, wildlife food, traditional uses or no known use. Species that intersected more than one resource use were defined as multiple-use species, and occupied four primary classes – wildlife food/commercial timber, commercial timber/traditional uses, wildlife food/traditional uses and wildlife food/commercial timber/traditional uses. Traditional knowledge allowed us to identify plant species and describe how they are used for provisioning, cultural and supporting ecosystem services and shaping our understanding of the multiple dimensions of ecosystem services associated with a single species.
For centuries, the Renaissance papacy has been celebrated for its generous patronage of the arts. Pope Leo X, son of the legendary Lorenzo "the Magnificent" de'Medici, is widely understood to be one of the greatest patrons of music in European history, and one of the emblematic figures of the...
Drone remote sensing research has surged over the last few decades as the technology has become increasingly accessible. Relatively easy-to-operate drones put data collection directly in the hands of the remote sensing community. While an abundance of remote sensing studies using drones in myriad areas of application (e.g., agriculture, forestry, and geomorphology) have been published, little consensus has emerged regarding best practices for drone usage and incorporation into research. Therefore, this paper synthesizes relevant literature, supported by the collective experiences of the authors, to propose ten fundamental practices for drone remote sensing research, including (1) focus on your question, not just the tool, (2) know the law and abide by it, (3) respect privacy and be ethical, (4) be mindful consumers of technology, (5) develop or adopt a data collection protocol, (6) treat Structure from Motion (SfM) as a new form of photogrammetry, (7) consider new approaches to analyze hyperspatial data, (8) think beyond imagery, (9) be transparent and report error, and (10) work collaboratively. These fundamental practices, meant for all remote sensing researchers using drones regardless of area of interest or disciplinary background, are elaborated upon and situated within the context of broader remote sensing research.