Soil sampling design and sampling techniques for soil properties monitoring – common difficulties related to forest soils

Mathematical models and statistical analysis are key instruments in soil science scientific research as they can describe and/or predict the current state of a soil system. These tools allow us to explore the behavior of soil related processes and properties as well as to generate new hypotheses for future experimentation. A good model and analysis of soil properties variations, that permit us to extract suitable conclusions and estimating spatially correlated variables at unsampled locations, is clearly dependent on the amount and quality of data and of the robustness techniques and estimators. On the other hand, the quality of data is obviously dependent from a competent data collection procedure and from a capable laboratory analytical work. Following the standard soil sampling protocols available, soil samples should be collected according to key points such as a convenient spatial scale, landscape homogeneity (or non-homogeneity), land color, soil texture, land slope, land solar exposition. Obtaining good quality data from forest soils is predictably expensive as it is labor intensive and demands many manpower and equipment both in field work and in laboratory analysis. Also, the sampling collection scheme that should be used on a data collection procedure in forest field is not simple to design as the sampling strategies chosen are strongly dependent on soil taxonomy. In fact, a sampling grid will not be able to be followed if rocks at the predicted collecting depth are found, or no soil at all is found, or large trees bar the soil collection. Considering this, a proficient design of a soil data sampling campaign in forest field is not always a simple process and sometimes represents a truly huge challenge. In this work, we present some difficulties that have occurred during two experiments on forest soil that were conducted in order to study the spatial variation of some soil physical-chemical properties. Two different sampling protocols were considered for monitoring two types of forest soils located in NW Portugal: umbric regosol and lithosol. Two different equipments for sampling collection were also used: a manual auger and a shovel. Both scenarios were analyzed and the results achieved have allowed us to consider that monitoring forest soil in order to do some mathematical and statistical investigations needs a sampling procedure to data collection compatible to established protocols but a pre-defined grid assumption often fail when the variability of the soil property is not uniform in space. In this case, sampling grid should be conveniently adapted from one part of the landscape to another and this fact should be taken into consideration of a mathematical procedure.

Soil attributes dynamics evaluation after prescribed burning practice in northwestern Portugal forest

The Portuguese northern forests are often and severely affected by wildfires during the summer season. These occurrences affect significant and rudely all ecosystems, namely soil, fauna and flora. Preventive actions such as prescribed burnings and clear-cut logging are frequently used and have showed a significant reduction of the natural wildfires occurrences. In Portugal, and due to some technical and operational conditions, prescribed burnings in forests are the most common preventive action used to reduce the existing fuel hazard. The overall impacts of this preventive action on Portuguese ecosystems are complex and not fully understood. This work reports to the study of a prescribed burning impact in soil chemical properties, namely pH, humidity and organic matter, by monitoring the soil self-recovery capacity. The experiments were carried out in soil cover over a natural site of Andaluzitic schist, in Gramelas, Caminha, Portugal, who was able to maintain itself intact from prescribed burnings from four years. The composed soil samples were collected from five plots at three different layers (0-3cm, 3-6cm and 6-18cm) 1 day before prescribed fire and after the prescribed fire. The results have shown that the dynamic equilibrium in soil was affected significantly.

Ensaios preliminares para caracterização de um solo sujeito a fogo controlado

No presente trabalho são apresentados os resultados obtidos num estudo realizado na região do Norte de Portugal, onde uma equipa multidisciplinar, em estreita cooperação com a Autoridade Florestal Nacional, estudou as variações de pH e teores de humidade e matéria natural orgânica do solo antes e após a execução de um fogo controlado. Foi avaliada também a evolução destes parâmetros nos 90 dias seguintes após a queimada no sentido de estudar o nível de recuperação natural dos solos. Deste estudo foi possível concluir-se que o fogo controlado causou um aumento do pH do solo e uma redução no teor de humidade. Relativamente à recuperação natural dos solos, foi verificada uma recuperação parcial das características do solo não se tendo atingido, ao fim de 90 dias, os valores observados antes da acção do fogo. Os trabalhos de monitorização/ avaliação prosseguirão com periodicidade trimestral.

O papel do homem na educação de infância: construção de uma identidade profissional no masculino

Relatório da Prática Profissional Supervisionada Mestrado em Educação Pré-Escolar

Environmental indicator frameworks to design and assess environmental monitoring programs

Impact Assessment and Project Appraisal, vol. 22, n.1, March 2004, p. 47–62

Multiple Linear Regression and Artificial Neural Networks to Predict Time and Efficiency of Soil Vapor Extraction

The prediction of the time and the efficiency of the remediation of contaminated soils using soil vapor extraction remain a difficult challenge to the scientific community and consultants. This work reports the development of multiple linear regression and artificial neural network models to predict the remediation time and efficiency of soil vapor extractions performed in soils contaminated separately with benzene, toluene, ethylbenzene, xylene, trichloroethylene, and perchloroethylene. The results demonstrated that the artificial neural network approach presents better performances when compared with multiple linear regression models. The artificial neural network model allowed an accurate prediction of remediation time and efficiency based on only soil and pollutants characteristics, and consequently allowing a simple and quick previous evaluation of the process viability.

Rótulo de serviço público sustentável: aplicação ao serviço de licenciamentos e apoio às actividades económicas da Câmara Municipal de Oeiras

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para a obtenção do grau de Mestre em Engenharia do Ambiente, perfil Ordenamento do Território e Impactes Ambientais

Avaliação e comunicação da sustentabilidade no sector portuário: utilização de indicadores e relatórios de desempenho

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para a obtenção do grau de Mestre em Engenharia do Ambiente, perfil Gestão e Sistemas Ambientais

Utilização de indicadores em avaliação ambiental estratégica

Dissertação apresentada na Faculdade de Ciências e Tecnologias da Universidade Nova de Lisboa para a obtenção do grau Mestre em Engenharia do Ambiente, perfil Ordenamento do Território e Impactes Ambientais

Avaliação da eficácia da definição do âmbito no processo de avaliação ambiental estratégica em Portugal

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para a obtenção do grau de Mestre em Engenharia do Ambiente, perfil Ordenamento do Território e Impactes Ambientais

Environmental pressures and impacts of public sector organizations: the case of the Portuguese Military

Progress in Industrial Ecology, An International Journal, nº 4(5), p. 363-381

Developing and implementing an environmental performance index for the Portuguese military

Business Strategy and the Environment nº 15, p. 71–86

The state of environmental performance evaluation in the public sector: the case of the Portuguese defence sector

Journal of Cleaner Production, nº 17, p. 36-52

Environmental impact assessment in higher education and training in Portugal

Journal of Cleaner Production, nº 16, p. 639-645

Environmental performance policy indicators for the public sector: The case of the defence sector

Journal of Environmental Management, nº 82 p. 410–432