Institution
Universidade Federal Rural do Rio de Janeiro
Education•Seropédica, Brazil•
About: Universidade Federal Rural do Rio de Janeiro is a education organization based out in Seropédica, Brazil. It is known for research contribution in the topics: Population & Species richness. The organization has 6405 authors who have published 9852 publications receiving 105911 citations.
Papers published on a yearly basis
Papers
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TL;DR: In this paper, an alternative and novel theoretical approach to the conceptualization and analysis of payments for environmental services (PES) is presented, taking into account complexities related to uncertainty, distributional issues, social embeddedness, and power relations.
987 citations
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University of Cambridge1, University of the Basque Country2, National Autonomous University of Mexico3, University of Córdoba (Spain)4, Corvinus University of Budapest5, University of Southern Denmark6, University of Gothenburg7, University of East Anglia8, Lund University9, University of Kiel10, United Nations11, Helmholtz Centre for Environmental Research - UFZ12, University of Khartoum13, King Abdulaziz City for Science and Technology14, University of Washington15, University of Oxford16, Ministry of Forestry17, University College Dublin18, National University of Cordoba19, Carthage University20, University of Chile21, Harvard University22, Norwegian University of Life Sciences23, University of Pretoria24, University of Antwerp25, Wetlands International26, Universidade Federal Rural do Rio de Janeiro27, International Union for Conservation of Nature and Natural Resources28, Council for Scientific and Industrial Research29, University of Western Australia30, National University of General Sarmiento31, Calcutta Institute of Engineering and Management32, European Commission33, Government of Canada34, Finnish Environment Institute35, Federal University of Rio de Janeiro36, International Institute of Minnesota37, Pontifical Catholic University of Rio de Janeiro38, Victoria University of Wellington39, Indian Institute of Forest Management40, University of Tokyo41
TL;DR: In this paper, the authors present the rationale for the inclusive valuation of nature's contributions to people (NCP) in decision making, as well as broad methodological steps for doing so, and argue that transformative practices aiming at sustainable futures would benefit from embracing such diversity, which require recognizing and addressing power relationships across stakeholder groups that hold different values on human nature-relations and NCP.
985 citations
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TL;DR: SoilGrids1km provides an initial set of examples of soil spatial data for input into global models at a resolution and consistency not previously available and results of regression modeling indicate that the most useful covariates for modeling soils at the global scale are climatic and biomass indices, lithology, and taxonomic mapping units derived from conventional soil survey.
Abstract: Background: Soils are widely recognized as a non-renewable natural resource and as biophysical carbon sinks. As such, there is a growing requirement for global soil information. Although several global soil information systems already exist, these tend to suffer from inconsistencies and limited spatial detail. Methodology/Principal Findings: We present SoilGrids1km — a global 3D soil information system at 1 km resolution — containing spatial predictions for a selection of soil properties (at six standard depths): soil organic carbon (g kg21), soil pH, sand, silt and clay fractions (%), bulk density (kg m23), cation-exchange capacity (cmol+/kg), coarse fragments (%), soil organic carbon stock (t ha21), depth to bedrock (cm), World Reference Base soil groups, and USDA Soil Taxonomy suborders. Our predictions are based on global spatial prediction models which we fitted, per soil variable, using a compilation of major international soil profile databases (ca. 110,000 soil profiles), and a selection of ca. 75 global environmental covariates representing soil forming factors. Results of regression modeling indicate that the most useful covariates for modeling soils at the global scale are climatic and biomass indices (based on MODIS images), lithology, and taxonomic mapping units derived from conventional soil survey (Harmonized World Soil Database). Prediction accuracies assessed using 5–fold cross-validation were between 23–51%. Conclusions/Significance: SoilGrids1km provide an initial set of examples of soil spatial data for input into global models at a resolution and consistency not previously available. Some of the main limitations of the current version of SoilGrids1km are: (1) weak relationships between soil properties/classes and explanatory variables due to scale mismatches, (2) difficulty to obtain covariates that capture soil forming factors, (3) low sampling density and spatial clustering of soil profile locations. However, as the SoilGrids system is highly automated and flexible, increasingly accurate predictions can be generated as new input data become available. SoilGrids1km are available for download via http://soilgrids.org under a Creative Commons Non Commercial license.
894 citations
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699 citations
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TL;DR: The chemical composition and pharmacological properties of the very efficient medicinal plant Croton cajucara were investigated according to ethnopharmacological approaches and proved to be both efficient and successful.
Abstract: This paper presents a program emphasizing ethnopharmacological approaches that could allow great success in the study of medicinal plants. The minimum ethnopharmacological research team should consist of a botanist, a chemist and a pharmacologist with each carrying the responsibility for answering in sequential fashion critical questions. The chemical composition and pharmacological properties of the very efficient medicinal plant Croton cajucara were investigated according to ethnopharmacological approaches. The study with this Croton proved to be both efficient and successful. This happy situation was only possible because a multidisciplinary team was involved getting the research done correctly. The ethnopharmacological study involving one other especies Copaifera will be cited.
560 citations
Authors
Showing all 6461 results
Name | H-index | Papers | Citations |
---|---|---|---|
Johan Six | 107 | 447 | 49016 |
Sandra Amato | 100 | 1206 | 50094 |
Robert Poulin | 94 | 653 | 34633 |
C. Potterat | 90 | 751 | 37732 |
O.J. Ginther | 87 | 517 | 27914 |
David Murphy | 81 | 549 | 40441 |
Benedetta Mennucci | 75 | 349 | 48307 |
D. Galli | 68 | 541 | 19570 |
Erica Polycarpo | 51 | 286 | 13615 |
J. Peter W. Young | 51 | 117 | 9839 |
Miriam Dupas Hubinger | 47 | 203 | 8227 |
Albert Bursche | 47 | 213 | 9595 |
M. Gandelman | 46 | 128 | 11022 |
Jose Lopes | 42 | 139 | 9214 |
Murilo Rangel | 38 | 80 | 6038 |