Global maps of soil temperature.

Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km <sup>2</sup> resolution for 0-5 and 5-15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km <sup>2</sup> pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10°C (mean = 3.0 ± 2.1°C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 ± 2.3°C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (-0.7 ± 2.3°C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications

Estudio teorico de asociaciones moleculares locales en fase condensada Modelos y aplicaciones

Centro de Informacion y Documentacion Cientifica (CINDOC). C/Joaquin Costa, 22. 28002 Madrid. SPAIN / CINDOC - Centro de Informaciòn y Documentaciòn CientìficaSIGLEESSpai

Modelo geral das atividades da empresa General model of company activities

O modelo evidencia que as atividades de qualquer tipo de empresa, inclusive a de serviços, podem ser organizadas em quatro grupos (produção, atendimento, apoio e planejamento) e que essa organização é aplicável à empresa como um todo, a qualquer órgão (departamento, seção) e a qualquer célula de trabalho, inclusive a constituída por apenas um funcionário. O modelo, por mergulhar, como nenhum outro, nas profundezas da empresa, complementa outros modelos (Tavistock, Katz & Kahn, Kast & Rosenzweig). A comparação com o modelo da Cadeia de Valores de Porter e as vantagens apontadas no texto permitem concluir que o modelo é bastante adequado para a proposição de mudanças na empresa que melhorem sua posição competitiva.<br>The model shows that the activities of any type of company, including service companies, can be divided into four groups (production, service, support, planning) and that such organization is applicable to the company as a whole, to any part of it (division, department) and even to single employees. Since the model, as no other, covers nearly all sections of the company, it complements other ones (Tavistock, Katz & Kahn, Kast & Rosenzweig). The comparison with Porter’s Chain of Values and the advantages shown in the text, allow the conclusion that this model is perfectly adequate to the proposed changes in the company and to the improvement of its competitiveness

Um sistema de controle da produção para a manufatura celular parte I: sistema de apoio à decisão para a elaboração do programa mestre de produção A production control system to the cellular manufacturing part I: decision support system for elaborating the master production scheduling

Este artigo e mais o artigo Parte II (Emissão de Ordens e Programação de Operações) fazem parte de um trabalho que visa integrar todas as atividades de programação da produção dentro do contexto de um Sistema de Controle da Produção, concebido para operar na manufatura celular semi-repetitiva. Para deixarmos claro o que entendemos por manufatura celular semi-repetitiva fazemos uma classificação dos sistemas de produção e uma taxonomia da manufatura celular. O sistema proposto foi concebido e implementado computacionalmente em 3 módulos (nível de produto final, de componentes e de operações). O primeiro é tratado neste artigo (Parte I), enquanto que outros dois módulos são tratados no outro artigo (Parte II).<br>This paper and that of Part II (ordering system and operations scheduling) aims to integrate all production scheduling activities in a semi-repetitive cellular manufacturing environment. With the aim of clarifying what we mean by semi-repetitive cellular manufacturing, we have made a production systems classification and a cellular manufacturing taxonomy. The proposed system was conceptualized and computationally implemented in three modules (product, component and operation levels). The first level is treated in this paper and the other two are treated in the Part II

Global maps of soil temperature

Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km2 resolution for 0–5 and 5–15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km2 pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10°C (mean = 3.0 ± 2.1°C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 ± 2.3°C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (−0.7 ± 2.3°C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological application