Local perceptions as a guide for the sustainable management of natural resources : empirical evidence from a small-scale society in Bolivian Amazonia

Research on natural resource management suggests that local perceptions form the basis upon which many small-scale societies monitor availability and change in the stock of common-pool natural resources. In contrast, this literature debates whether local perceptions can be effective in guiding the sustainable management of natural resources. With empirical evidence on this matter still highly limited, we explored the role of local perceptions as drivers of harvesting and management behavior in a small-scale society in Bolivian Amazonia. We conducted structured interviews to capture local perceptions of availability and change in the stock of thatch palm (Geonoma deversa) among the Tsimane', an indigenous society of foragers-horticulturalists (n = 296 adults in 13 villages). We analyzed whether perceptions of availability match estimates of abundance obtained from ecological data and whether differences in perception help to explain harvesting behavior and local management of thatch palm. Perceptions of availability of G. deversa are highly contingent upon the social, economic, and cultural conditions within which the Tsimane' have experienced changes in the availability of the resource, thus giving a better reflection of the historical, rather than of the ecological, dimensions of the changes undergone. Although local perceptions might fall short in precision when scrutinized from an ecological standpoint, their importance in informing sustainable management should not be underestimated. Our findings show that most of the harvesting and management actions that the Tsimane' undertake are, at least partially, shaped by their local perceptions. This paper contributes to the broader literature on natural resource management by providing empirical evidence of the critical role of local perceptions in promoting collective responses for the sustainable management of natural resources.Peer reviewe

An empirical comparison of knowledge and skill in the context of traditional ecological knowledge

Background: We test whether traditional ecological knowledge (TEK) about how to make an item predicts a person's skill at making it among the Tsimane' (Bolivia). The rationale for this research is that the failure to distinguish between knowledge and skill might account for some of the conflicting results about the relationships between TEK, human health, and economic development. Methods: We test the association between a commonly-used measure of individual knowledge (cultural consensus analysis) about how to make an arrow or a bag and a measure of individual skill at making these items, using ordinary least-squares regression. The study consists of 43 participants from 3 villages. Results: We find no association between our measures of knowledge and skill (core model, p > 0.5, R2 = .132). Conclusions: While we cannot rule out the possibility of a real association between these phenomena, we interpret our findings as support for the claim that researchers should distinguish between methods to measure knowledge and skill when studying trends in TEK

Local perceptions as a guide for the sustainable management of natural resources : empirical evidence from a small-scale society in Bolivian Amazonia

Unidad de excelencia María de Maeztu MdM-2015-0552Research on natural resource management suggests that local perceptions form the basis upon which many small-scale societies monitor availability and change in the stock of common-pool natural resources. In contrast, this literature debates whether local perceptions can be effective in guiding the sustainable management of natural resources. With empirical evidence on this matter still highly limited, we explored the role of local perceptions as drivers of harvesting and management behavior in a small-scale society in Bolivian Amazonia. We conducted structured interviews to capture local perceptions of availability and change in the stock of thatch palm (Geonoma deversa) among the Tsimane', an indigenous society of foragers-horticulturalists (n = 296 adults in 13 villages). We analyzed whether perceptions of availability match estimates of abundance obtained from ecological data and whether differences in perception help to explain harvesting behavior and local management of thatch palm. Perceptions of availability of G. deversa are highly contingent upon the social, economic, and cultural conditions within which the Tsimane' have experienced changes in the availability of the resource, thus giving a better reflection of the historical, rather than of the ecological, dimensions of the changes undergone. Although local perceptions might fall short in precision when scrutinized from an ecological standpoint, their importance in informing sustainable management should not be underestimated. Our findings show that most of the harvesting and management actions that the Tsimane' undertake are, at least partially, shaped by their local perceptions. This paper contributes to the broader literature on natural resource management by providing empirical evidence of the critical role of local perceptions in promoting collective responses for the sustainable management of natural resources

Textural classification of land cover using support vector machines : an empirical comparison with parametric, non parametric and hybrid classifiers in the Bolivian Amazon

Land cover classification is a key research field in remote sensing and land change science as thematic maps derived from remotely sensed data have become the basis for analyzing many socio-ecological issues. However, land cover classification remains a difficult task and it is especially challenging in heterogeneous tropical landscapes where nonetheless such maps are of great importance. The present study aims to establish an efficient classification approach to accurately map all broad land cover classes in a large, heterogeneous tropical area of Bolivia, as a basis for further studies (e.g., land cover-land use change). Specifically, we compare the performance of parametric (maximum likelihood), non-parametric (k-nearest neighbour and four different support vector machines - SVM), and hybrid classifiers, using both hard and soft (fuzzy) accuracy assessments. In addition, we test whether the inclusion of a textural index (homogeneity) in the classifications improves their performance. We classified Landsat imagery for two dates corresponding to dry and wet seasons and found that non-parametric, and particularly SVM classifiers, outperformed both parametric and hybrid classifiers. We also found that the use of the homogeneity index along with reflectance bands significantly increased the overall accuracy of all the classifications, but particularly of SVM algorithms. We observed that improvements in producer's and user's accuracies through the inclusion of the homogeneity index were different depending on land cover classes. Earlygrowth/degraded forests, pastures, grasslands and savanna were the classes most improved, especially with the SVM radial basis function and SVM sigmoid classifiers, though with both classifiers all land cover classes were mapped with producer's and user's accuracies of around 90%. Our approach seems very well suited to accurately map land cover in tropical regions, thus having the potential to contribute to conservation initiatives, climate change mitigation schemes such as REDD+, and rural development policies

Peer evaluation can reliably measure local knowledge

We assess the consistency of measures of individual local ecological knowledge obtained through peer evaluation against three standard measures: identification tasks, structured questionnaires, and self-reported skills questionnaires. We collected ethnographic information among the Baka (Congo), the Punan (Borneo), and the Tsimane’ (Amazon) to design site-specific but comparable tasks to measure medicinal plant and hunting knowledge. Scores derived from peer ratings correlate with scores of identification tasks and self-reported skills questionnaires. The higher the number of people rating a subject, the larger the association. Associations were larger for the full sample than for subsamples with high and low rating scores. Peer evaluation can provide a more affordable method in terms of difficulty, time, and budget to study intracultural variation of knowledge, provided that researchers (1) do not aim to describe local knowledge; (2) select culturally recognized domains of knowledge; and (3) use a large and diverse (age, sex, and kinship) group of evaluators.Peer reviewe

Summary for policymakers of the global assessment report on biodiversity and ecosystem services of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services

Fil: Díaz, Sandra. Universidad Nacional de Córdoba. Instituto Multidisciplinario de Biología Vegetal; Argentina.Fil: Díaz, Sandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto Multidisciplinario de Biología Vegetal; Argentina.Fil: Settele, Josef. Helmholtz-Zentrum für Umweltforschung. Department of Community Ecology; Alemania.Fil: Brondízio, Eduardo. Indiana University Bloomington. Department of Anthropology; Estados Unidos.Fil: Ngo, Hien T. Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services; Alemania.Fil: Guèze, Maximilien. Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services; Alemania.Fil: Agard, John. University of the West Indies. Department of Life Sciences; Trinidad y Tobago.Fil: Arneth, Almut. Karlsruhe Institute of Technology. Institute of Meteorology and Climate Research. Atmospheric Environmental Research; Alemania.Fil: Balvanera, Patricia. Universidad Nacional Autónoma de México. Instituto de Investigaciones en Ecosistemas y Sustentabilidad; México.Fil: Brauman, Kate A. University of Minnesota. Institute on the Environment; Estados Unidos.Fil: Butchart, Stuart H. M. BirdLife International; Reino Unido.Fil: Chan, Kai. University of British Columbia. Institute for Resources, Environment and Sustainability; Canada.Fil: Garibaldi, Lucas Alejandro. Universidad Nacional de Río Negro. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural; Argentina.Fil: Garibaldi, Lucas Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural; Argentina.Fil: Ichii, Kazuhito. National Institute for Environmental Studies. Center for Global Environmental Research; Japón.Fil: Liu, Jianguo. Michigan State University. Center for Systems Integration and Sustainability; Estados Unidos.Fil: Mazhenchery Subramanian, Suneetha. United Nations University. Institute of Advanced Studies; Japón.Fil: Midgley, Guy. Stellenbosch University. Department of Botany and Zoology; Sudáfrica.Fil: Miloslavich, Patricia. Commonwealth Scientific and Industrial Research Organisation. Oceans and Atmosphere; Australia.Fil: Molnár, Zsolt. Hungarian Academy of Sciences. Traditional Ecological Knowledge Research Group; Hungría.Fil: Obura, David. Coastal Oceans Research and Development – Indian Ocean; Kenya.Fil: Pfaff, Alexander. Duke University; Estados Unidos.Fil: Polasky, Stephen. University of Minnesota. Department of Applied Economics; Estados Unidos.Fil: Purvis, Andy. Natural History Museum. Department of Life Sciences; Reino Unido.Fil: Razzaque, Jona. University of the West of England. Faculty of Business and Law. Department of Law; Reino Unido.Fil: Reyers, Belinda. Stellenbosch University. Department of Conservation Ecology; Sudáfrica.Fil: Roy Chowdhury, Rinku. Clark University. Graduate School of Geography; Estados Unidos.Fil: Shin, Yunne J. Institute of Research for Development, Sète & Montpellier; Francia.Fil: Visseren Hamakers, Ingrid. George Mason University. Department of Environmental Science and Policy; Estados Unidos.Fil: Willis, Katherine. University of Oxford. Department of Zoology; Reino Unido.Fil: Zayas, Cynthia N. University of the Philippines. Center for International Studies; Filipinas.Summary for policymakers of the global assessment report on biodiversity and ecosystem services of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services

The Adaptive Nature of Culture : A cross-cultural analysis of the returns of Local Environmental Knowledge in three indigenous societies

Researchers have argued that the behavioral adaptations that explain the success of our species are partially cultural, that is, cumulative and socially transmitted. Thus, understanding the adaptive nature of culture is crucial to understand human evolution. We use a cross-cultural framework and empirical data purposely collected to test whether culturally transmitted and individually appropriated knowledge provides individual returns in terms of hunting yields and health and, by extension, nutritional status, a proxy for individual adaptive success. Data were collected in three subsistence-oriented societies: the Tsimane’ (Amazon), the Baka (Congo Basin), and the Punan (Borneo). Results suggest that variations in individual levels of local environmental knowledge relate to individual hunting returns and self-reported health but not to nutritional status. We argue that this paradox can be explained through the prevalence of sharing: individuals achieving higher returns to their knowledge transfer them to the rest of the population, which explains the lack of association between knowledge and nutritional status. The finding is in consonance with previous research highlighting the importance of cultural traits favoring group success but pushes it forward by elucidating the mechanisms through which individual- and group-level adaptive forces interact.Peer reviewe

The global assessment report on biodiversity and ecosystem services: Summary for policy makers

This report represents a critical assessment, the first in almost 15 years (since the release of the Millennium Ecosystem Assessment in 2005) and the first ever carried out by an intergovernmental body, of the status and trends of the natural world, the social implications of these trends, their direct and indirect causes, and, importantly, the actions that can still be taken to ensure a better future for all. These complex links have been assessed using a simple, yet very inclusive framework that should resonate with a wide range of stakeholders, since it recognizes diverse world views, values and knowledge systems.Fil: Díaz, Sandra Myrna. 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: Settele, Josef. Helmholtz Centre for Environmental Research; AlemaniaFil: Brondízio, Eduardo. Indiana University; Estados UnidosFil: Ngo, Hien. Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services; AlemaniaFil: Guèze, Maximilien. Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services; AlemaniaFil: Agard, John. University of The West Indies; Trinidad y TobagoFil: Arneth, Almut. Karlsruher Institut fur Technologie; AlemaniaFil: Balvanera, Patricia. Universidad Nacional Autónoma de México; MéxicoFil: Brauman, Kate. University of Minnesota; Estados UnidosFil: Butchart, Stuart. University of Cambridge; Reino UnidoFil: Chan, Kai M. A.. University of British Columbia; CanadáFil: Garibaldi, Lucas Alejandro. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Patagonia Norte. Instituto de Investigaciones En Recursos Naturales, Agroecologia y Desarrollo Rural. - Universidad Nacional de Rio Negro. Instituto de Investigaciones En Recursos Naturales, Agroecologia y Desarrollo Rural.; ArgentinaFil: Ichii, Kazuhito. Chiba University; JapónFil: Liu, Jianguo. Michigan State University; Estados UnidosFil: Subramanian, Suneetha. United Nations University; JapónFil: Midgley, Guy. Stellenbosch University; SudáfricaFil: Miloslavich, Patricia. Universidad Simon Bolivar.; VenezuelaFil: Molnár, Zsolt. Hungarian Academy of Sciences; HungríaFil: Obura, David. Coastal Oceans Research and Development Indian Ocean; KeniaFil: Pfaff, Alexander. University of Duke; Estados UnidosFil: Polasky, Stephen. University of Minnesota; Estados UnidosFil: Purvis, Andy. Natural History Museum; Reino UnidoFil: Razzaque, Jona. University of the West of England; Reino UnidoFil: Reyers, Belinda. Stellenbosch University; SudáfricaFil: Roy Chowdhury, Rinku. Clark University; Estados UnidosFil: Shin, Yunne-Jai. Centre National de la Recherche Scientifique; FranciaFil: Visseren-Hamakers, Ingrid. Radboud Universiteit Nijmegen; Países BajosFil: Willis, Katherine. University of Oxford; Reino UnidoFil: Zayas, Cynthia. University of the Philippines; Filipina

Understanding different dominance patterns in western Amazonian forests

Dominance of neotropical tree communities by a few species is widely documented, but dominant trees show a variety of distributional patterns still poorly understood. Here, we used 503 forest inventory plots (93,719 individuals ≥2.5 cm diameter, 2609 species) to explore the relationships between local abundance, regional frequency and spatial aggregation of dominant species in four main habitat types in western Amazonia. Although the abundance-occupancy relationship is positive for the full dataset, we found that among dominant Amazonian tree species, there is a strong negative relationship between local abundance and regional frequency and/or spatial aggregation across habitat types. Our findings suggest an ecological trade-off whereby dominant species can be locally abundant (local dominants) or regionally widespread (widespread dominants), but rarely both (oligarchs). Given the importance of dominant species as drivers of diversity and ecosystem functioning, unravelling different dominance patterns is a research priority to direct conservation efforts in Amazonian forests

Chapter 1: Assessing a planet in transformation: Rationale and approach of the IPBES Global Assessment on Biodiversity and Ecosystem Services

The challenges of mitigating and adapting to climate change, achieving inclusive food, water, energy and health security, addressing urban vulnerabilities, and the unequal burdens of nature deterioration, are not only predicaments on their own right. Because they interact, often exacerbating each other, they create new risks and uncertainties for people and nature. It is now evident that the rapid deterioration of nature, including that of the global environmental commons on land, ocean, atmosphere and biosphere, upon which humanity as a whole depends, are interconnected and their cascading effects compromise societal goals and aspirations from local to global levels. Growing efforts to respond to these challenges and awareness of our dependence on nature have opened new opportunities for action and collaboration towards fairer and more sustainable futures.The global assessment on biodiversity and ecosystem services (GA) has been designed to be a comprehensive and ambitious intergovernmental integrated assessment of recent anthropogenic transformations of Earth?s living systems, the roots of such transformations, and their implications to society. In the chapters that follow, our mandate is to critically assess the state of knowledge on recent past (from the 1970s), present and possible future trends in multi-scale interactions between people and nature, taking into consideration different worldviews and knowledge systems, including those representing mainstream natural and social sciences and the humanities, and indigenous and local knowledge systems. In doing so, the GA also assesses where the world stands in relation to several international agreements related to biodiversity and sustainable development.Fil: Brondizio, Eduardo. No especifíca;Fil: Díaz, Sandra Myrna. 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: Settele, Josef. No especifíca;Fil: Ngo, Hien. No especifíca;Fil: Guèze, Maximilien. No especifíca;Fil: Aumeeruddy-Thomas, Y. No especifíca;Fil: Bai, Xuemei. No especifíca;Fil: Geschke, Arne. No especifíca;Fil: Molnár, Zsolt. No especifíca;Fil: Niamir, Aidin. No especifíca;Fil: Pascual, Unai. No especifíca;Fil: Simcock, Alan. No especifíca;Fil: Jaureguiberry, Pedro. 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: Hien, Ngo,. No especifíca;Fil: Brancalion, Pedro. No especifíca;Fil: Chan, Kai M. A.. No especifíca;Fil: Dubertret, Fabrice. No especifíca;Fil: Hendry, Andrew. No especifíca;Fil: Liu, Jianguo. No especifíca;Fil: Martin, Adrian. No especifíca;Fil: Martín López, Berta. No especifíca;Fil: Midgley, Guy F.. No especifíca;Fil: Obura, David. No especifíca;Fil: Oliver, Tom. No especifíca;Fil: Scheffran, Jürgen. No especifíca;Fil: Seppelt, Ralf. No especifíca;Fil: Strassburg, Bernardo. No especifíca;Fil: Spangenberg, Joachim H.. No especifíca;Fil: Stenseke, Marie. No especifíca;Fil: Turnhout, Esther. No especifíca;Fil: Williams, Meryl J.. No especifíca;Fil: Zayas, Cynthia. No especifíca