1,408 research outputs found
Science for Place-based Socioecological Management: Lessons from the Maya Forest (Chiapas and Petén)
The role humans should play in conservation is a pervasive issue of debate in environmental thinking. Two long-established poles of this debate can be identified on a preservation-sustainable use continuum. At one extreme are use bans and natural science-based, top-down management for preservation. At the other extreme is community-based, multidisciplinary management for sustainable resource use and livelihoods. In this paper, we discuss and illustrate how these two strategies have competed and conflicted in conservation initiatives in the Maya forest (MF) of the Middle Usumacinta River watershed (Guatemala and Mexico). We further argue that both extremes have produced unconvincing results in terms of the region’s sustainability. An alternative consists of sustainability initiatives based on place-based and integrated-knowledge approaches. These approaches imply a flexible combination of disciplines and types of knowledge in the context of nature-human interactions occurring in a place. They can be operationalized within the framework of sustainability science in three steps: 1) characterize the contextual circumstances that are most relevant for sustainability in a place; 2) identify the disciplines and knowledge(s) that need to be combined to appropriately address these contextual circumstances; and 3) decide how these disciplines and knowledge can be effectively combined and integrated. Epistemological flexibility in the design of analytic and implementation frameworks is key. Place-based and integrative-knowledge approaches strive to deal with local context and complexity, including that of human individuals and cultures. The success of any sustainability initiative will ultimately depend on its structural coupling with the context in which it is applied
Double Coupling: Modeling Subjectivity And Asymmetric Organization In Social-Ecological Systems
Social-ecological organization is a multidimensional phenomenon that combines material and symbolic processes. However, the coupling between social and ecological subsystem is often conceptualized as purely material, thus reducing the symbolic dimension to its behavioral and actionable expressions. In this paper I conceptualize social-ecological systems as doubly coupled. On the one hand, material expressions of socio-cultural processes affect and are affected by ecological dynamics. On the other hand, coupled social-ecological material dynamics are concurrently coupled with subjective dynamics via coding, decoding, personal experience, and human agency. This second coupling operates across two organizationally heterogeneous dimensions: material and symbolic. Although resilience thinking builds on the recognition of organizational asymmetry between living and nonliving systems, it has overlooked the equivalent asymmetry between ecological and socio-cultural subsystems. Three guiding concepts are proposed to formalize double coupling. The first one, social-ecological asymmetry, expands on past seminal work on ecological self-organization to incorporate reflexivity and subjectivity in social-ecological modeling. Organizational asymmetry is based in the distinction between social rules, which are symbolically produced and changed through human agents’ reflexivity and purpose, and biophysical rules, which are determined by functional relations between ecological components. The second guiding concept, conscious power, brings to the fore human agents’ distinctive capacity to produce our own subjective identity and the consequences of this capacity for social-ecological organization. The third concept, congruence between subjective and objective dynamics, redefines sustainability as contingent on congruent relations between material and symbolic processes. Social-ecological theories and analyses based on these three guiding concepts would support the integration of current structuralist-functionalist methods, which sufficiently and appropriately characterize ecological organization, with ethnographic and narrative methods exploring human intentionality, reflexivity, and biographical development
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Theorizing Scientific Tourism in Indigenous Community: A Horizontal Co-Production Approach to Research
This conceptual paper explores theoretical linkages between scientific tourism and sustainability outcomes within indigenous communities. Drawing on sustainability science, boundary work theory, indigenous knowledge, and decolonial frameworks, we present a typology of scientific tourism situations mapped according to the degree in which they allow co-production of solutions that combine indigenous and scientific knowledge. This paper is based on the premise that co-produced solutions are essential for sustainability outcomes and they require effective boundary organizations capable of translating and coordinating across cultural paradigms. Two approaches to scientific tourism that can facilitate sustainability outcomes, particularly in indigenous communities, are proposed. The first approach requires cognition of knowledge plurality and researcher reflexivity. The second entails boundary organizations as well as tools and strategies necessary for horizontal co-production. Implications for future scholarship on scientific tourism in marginalized and/or global south communities are discussed
Using a Second Order Sigma-Delta Control to Improve the Performance of Metal-Oxide Gas Sensors
Controls of surface potential have been proposed to accelerate the time response of MOX gas sensors. These controls use temperature modulations and a feedback loop based on first-order
sigma-delta modulators to keep constant the surface potential. Changes in the surrounding gases,
therefore, must be compensated by average temperature produced by the control loop, which is the
new output signal. The purpose of this paper is to present a second order sigma-delta control of the surface potential for gas sensors. With this new control strategy, it is possible to obtain a second order zero of the quantization noise in the output signal. This provides a less noisy control of the surface potential, while at the same time some undesired effects of first order modulators, such as the presence of plateaus, are avoided. Experiments proving these performance improvements are presented using a gas sensor made of tungsten oxide nanowires. Plateau avoidance and second order noise shaping is shown with ethanol measurements.Postprint (author's final draft
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