Using learning networks to understand complex systems: A case study of biological, geophysical and social research in the Amazon

Department of Zoology, University of Cambridge, CB2 3EJ, Cambridge, UK
Biological Reviews (Impact Factor: 9.67). 05/2011; 86(86):457-474. DOI: 10.1111/j.1469-185X.2010.00155.x
Source: PubMed


Developing high-quality scientific research will be most effective if research communities with diverse skills and interests are able to share information and knowledge, are aware of the major challenges across disciplines, and can exploit economies of scale to provide robust answers and better inform policy. We evaluate opportunities and challenges facing the development of a more interactive research environment by developing an interdisciplinary synthesis of research on a single geographic region. We focus on the Amazon as it is of enormous regional and global environmental importance and faces a highly uncertain future. To take stock of existing knowledge and provide a framework for analysis we present a set of mini-reviews from fourteen different areas of research, encompassing taxonomy, biodiversity, biogeography, vegetation dynamics, landscape ecology, earth-atmosphere interactions, ecosystem processes, fire, deforestation dynamics, hydrology, hunting, conservation planning, livelihoods, and payments for ecosystem services. Each review highlights the current state of knowledge and identifies research priorities, including major challenges and opportunities. We show that while substantial progress is being made across many areas of scientific research, our understanding of specific issues is often dependent on knowledge from other disciplines. Accelerating the acquisition of reliable and contextualized knowledge about the fate of complex pristine and modified ecosystems is partly dependent on our ability to exploit economies of scale in shared resources and technical expertise, recognise and make explicit interconnections and feedbacks among sub-disciplines, increase the temporal and spatial scale of existing studies, and 458 Jos Barlow and others improve the dissemination of scientific findings to policy makers and society at large. Enhancing interaction among research efforts is vital if we are to make the most of limited funds and overcome the challenges posed by addressing large-scale interdisciplinary questions. Bringing together a diverse scientific community with a single geographic focus can help increase awareness of research questions both within and among disciplines, and reveal the opportunities that may exist for advancing acquisition of reliable knowledge. This approach could be useful for a variety of globally important scientific questions.

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Available from: Yadvinder Malhi
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    • "Linking research on social–ecological memory and anticipatory governance would benefit from further focus. Many fields are looking at anticipatory governance, including public health (Ozdemir et al. 2009), geography (Goodchild 2007), biodiversity conservation (Barlow et al. 2010), and climate change (Boyd and Cornforth 2013). Themes are emerging around citizen science, networks, and volunteering of data sharing. "
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    • "pesquisa no tema promovida pela United Nations Environment Programme (UNEP), International Union for Conservation of Nature (IUCN), em cooperação com Secretariat of the Convention on Biological Diversity (CBD). É crescente o consenso de que o desenvolvimento científico em todos os níveis depende da formação de redes de pesquisa (Lahsen eNobre, 2007;Barlow et al., 2010;Gardner et al., 2013). Dentre os desafios do sistema de Ciência e Tecnologia no Brasil, que podem ser enfrentados pela pesquisa em rede estão a qualidade e os impactos social, econômico e educacional dos estudos, o melhor uso da infraestrutura científico-acadêmica, a internacionalização da ciência brasileira e a inovação. "

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    • "surveys , and for these species we also provide a second relative abundance metric as the point count surveys alone may convey a false sense of rarity . The Amazonian avifauna is incredibly species rich , and like other taxa there are significant gaps in our knowledge regarding species distributions and the taxonomy of cryptically - similar taxa ( Barlow et al . 2011 ) . Given these constraints , we believe that species lists should be accompanied with as much supporting documentary evidence as possible ( e . g . Cohn - haft et al . 1997 ) . Such evidentiary standards are necessary to prevent false recordings of species presences becoming established in the literature ( cf . McKelvey et al . 2008 ) "
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