Institution
National University of La Pampa
Education•Santa Rosa, Argentina•
About: National University of La Pampa is a education organization based out in Santa Rosa, Argentina. It is known for research contribution in the topics: Population & Soil water. The organization has 970 authors who have published 1367 publications receiving 14662 citations. The organization is also known as: UNLPam & Universidad Nacional de La Pampa.
Topics: Population, Soil water, Quality (business), Trace fossil, Metaheuristic
Papers published on a yearly basis
Papers
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King Juan Carlos University1, University of Vermont2, Pablo de Olavide University3, Technical University of Madrid4, Northern Arizona University5, University of La Serena6, Instituto Potosino de Investigación Científica y Tecnológica7, Universidad Simón Rodríguez8, Ben-Gurion University of the Negev9, State University of Feira de Santana10, Universidad Técnica Particular de Loja11, University of Sfax12, University of New South Wales13, Central University of Venezuela14, National University of San Juan15, University of the Bío Bío16, Virginia Tech College of Natural Resources and Environment17, Ohio State University18, National Agrarian University19, National University of La Pampa20, University of New England (Australia)21, Office of Environment and Heritage22, Spanish National Research Council23, Northeast Normal University24, Agricultural Research Organization, Volcani Center25
TL;DR: A global empirical study relating plant species richness and abiotic factors to multifunctionality in drylands, which collectively cover 41% of Earth’s land surface and support over 38% of the human population, suggests that the preservation of plant biodiversity is crucial to buffer negative effects of climate change and desertification in dryland.
Abstract: Experiments suggest that biodiversity enhances the ability of ecosystems to maintain multiple functions, such as carbon storage, productivity, and the buildup of nutrient pools (multifunctionality). However, the relationship between biodiversity and multifunctionality has never been assessed globally in natural ecosystems. We report here on a global empirical study relating plant species richness and abiotic factors to multifunctionality in drylands, which collectively cover 41% of Earth’s land surface and support over 38% of the human population. Multifunctionality was positively and significantly related to species richness. The best-fitting models accounted for over 55% of the variation in multifunctionality and always included species richness as a predictor variable. Our results suggest that the preservation of plant biodiversity is crucial to buffer negative effects of climate change and desertification in drylands.
941 citations
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Pablo de Olavide University1, King Juan Carlos University2, Northern Arizona University3, Colorado State University4, University of Córdoba (Spain)5, Instituto Potosino de Investigación Científica y Tecnológica6, University of La Serena7, University of Jaén8, University of Sfax9, State University of Feira de Santana10, University of New South Wales11, Universidad Técnica Particular de Loja12, National University of San Juan13, University of the Bío Bío14, Central University of Venezuela15, National University of La Pampa16, Virginia Tech College of Natural Resources and Environment17, Northeast Normal University18, Ohio State University19, Université du Québec à Montréal20, International Potato Center21, University of New England (Australia)22, Universidad Centroccidental Lisandro Alvarado23, Agricultural Research Organization, Volcani Center24, Office of Environment and Heritage25
TL;DR: Any predicted increase in aridity with climate change will probably reduce the concentrations of N and C in global drylands, but increase that of P, suggesting the provision of key services provided by these ecosystems could be negatively affected.
Abstract: The biogeochemical cycles of carbon (C), nitrogen (N) and phosphorus (P) are interlinked by primary production, respiration and decomposition in terrestrial ecosystems. It has been suggested that the C, N and P cycles could become uncoupled under rapid climate change because of the different degrees of control exerted on the supply of these elements by biological and geochemical processes. Climatic controls on biogeochemical cycles are particularly relevant in arid, semi-arid and dry sub-humid ecosystems (drylands) because their biological activity is mainly driven by water availability. The increase in aridity predicted for the twenty-first century in many drylands worldwide may therefore threaten the balance between these cycles, differentially affecting the availability of essential nutrients. Here we evaluate how aridity affects the balance between C, N and P in soils collected from 224 dryland sites from all continents except Antarctica. We find a negative effect of aridity on the concentration of soil organic C and total N, but a positive effect on the concentration of inorganic P. Aridity is negatively related to plant cover, which may favour the dominance of physical processes such as rock weathering, a major source of P to ecosystems, over biological processes that provide more C and N, such as litter decomposition. Our findings suggest that any predicted increase in aridity with climate change will probably reduce the concentrations of N and C in global drylands, but increase that of P. These changes would uncouple the C, N and P cycles in drylands and could negatively affect the provision of key services provided by these ecosystems.
667 citations
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TL;DR: In this paper, the authors discuss the evolution of machining process monitoring and control technologies and conduct an in-depth review of the state-of-the-art of these technologies over the past decade.
Abstract: Research in automating the process level of machining operations has been conducted, in both academia and industry, over the past few decades. This work is motivated by a strong belief that research in this area will provide increased productivity, improved part quality, reduced costs, and relaxed machine design constraints. The basis for this belief is twofold. First, machining process automation can be applied to both large batch production environments and small batch jobs. Second, process automation can autonomously tune machine parameters (feed, speed, depth of cut, etc.) on-line and off-line to substantially increase the machine tool's performance in terms of part tolerances and surface finish, operation cycle time, etc. Process automation holds the promise of bridging the gap between product design and process planning, while reaching beyond the capability of a human operator. The success of manufacturing process automation hinges primarily on the effectiveness of the process monitoring and control systems. This paper discusses the evolution of machining process monitoring and control technologies and conducts an in-depth review of the state-of-the-art of these technologies over the past decade. The research in each area is highlighted with experimental and simulation examples. Open architecture software platforms that provide the means to implement process monitoring and control systems are also reviewed. The impact, industrial realization, and future trends of machining process monitoring and control technologies are also discussed.
337 citations
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TL;DR: Inferred westerly and southwesterly wind directions, as dominant carriers of the aeolian deposits, are in agreement with Westerly palaeowind simulations using climate models as discussed by the authors.
287 citations
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TL;DR: In this paper, a probabilistic chip thickness model was proposed to predict the arithmetic mean surface roughness of ground surfaces using a geometrical analysis of the grooves left on the surface by ideal conic grains.
Abstract: The surface roughness is a variable often used to describe the quality of ground surfaces as well as to evaluate the competitiveness of the overall grinding system. This paper presents the prediction of the arithmetic mean surface roughness based on a probabilistic undeformed chip thickness model. The model expresses the ground finish as a function of the wheel microstructure, the process kinematic conditions, and the material properties. The analysis includes a geometrical analysis of the grooves left on the surface by ideal conic grains. The material properties and the wheel microstructure are considered in the surface roughness prediction through the chip thickness model. A simple expression that relates the surface roughness with the chip thickness was found, which was verified using experimental data from cylindrical grinding.
220 citations
Authors
Showing all 980 results
Name | H-index | Papers | Citations |
---|---|---|---|
Ragan M. Callaway | 95 | 290 | 41012 |
Henry A. Giroux | 90 | 516 | 36191 |
Christine M. Budke | 35 | 109 | 19140 |
Lyn C. Branch | 29 | 67 | 2054 |
Analía Amandi | 29 | 143 | 3141 |
Marcelo Zárate | 28 | 88 | 2403 |
Bo Norby | 27 | 89 | 1805 |
Daniel Eduardo Buschiazzo | 26 | 82 | 2009 |
Ricardo Nestor Melchor | 25 | 71 | 1603 |
Luis A. Pugnaloni | 24 | 111 | 2394 |
Jose Luis Hierro | 22 | 54 | 2483 |
Silvio Casadío | 22 | 69 | 1201 |
Esperanza Cerdeño | 22 | 114 | 1535 |
Claudia I. Montalvo | 22 | 89 | 1572 |
Marc J. Bechard | 21 | 67 | 1429 |