The assessment and condition of Fundy white birches in relation to ambient exposure to acid marine fogs

1996 ◽  
Vol 26 (4) ◽  
pp. 682-688 ◽  
Author(s):  
R.M. Cox ◽  
G. Lemieux ◽  
M. Lodin

The condition of white birches within 30 km of the Bay of Fundy, New Brunswick, have been monitored by the Canadian Forest Service since 1981, when an apparent deterioration in their condition and foliar browning was noticed. The apparent lack of associated insects or diseases that could have caused this change led to an investigation of possible environmental causes. Suspected variables were fog chemistry and frequency, rain chemistry, and ozone exposure. Significant (p = 0.05–0.01) spatial and temporal correlations of foliar browning with the fog frequency and fog chemistry variables have been detected, and their possible cause–effect relationship evaluated using both conventional on the ground sampling and remote sensing techniques. The use of remote sensing techniques, though not conclusive over the time it was carried out, did show the potential for future investigation of this type. In this study the deterioration of the two principal taxa, paper birch (Betulapapyrifera Marsh.) and mountain paper birch (Betulacordifolia Regel), were examined in terms of crown dieback and compared. These two taxa occur as separate stands or as a mixture in the birch plots. Comparisons of mortality responses of the two birch taxa together with results of leaf browning on transplanted young clones of the two taxa indicated a significantly (p < 0.001) greater sensitivity of B. cordifolia, whereas no significant differences between the taxa exist for percentage of trees with dieback. The potential role of sensitive indicators, such as B. cordifolia, as biomonitors of atmospheric change in an ecotonal situation like the Fundy coast is important, as these may give us the first indications of vegetation response to a changing chemical and physical environment.

Author(s):  
Pedro Perez Cutillas ◽  
Gonzalo G. Barberá ◽  
Carmelo Conesa García

El objetivo principal de este trabajo se centra en la determinación y análisis de las variables ambientales que influyen en las divergencias de las estimaciones de erosionabilidad a partir de dos métodos, aplicando tres algoritmos de estimación del Factor K. La exploración de esta información permite conocer el peso que ejerce el origen de los datos de entrada a los modelos en el cómputo de erosionabilidad y qué importancia tiene en función del algoritmo elegido para la estimación del Factor K. Los resultados muestran que las pendientes, así como los índices de vegetación (NDVI) y de composición mineralógico (IOI) obtenidos mediantes técnicas de teledetección han   mostrado los valores de asociación más elevados entre ambos métodos.The main goal of this work is to determine and analyze the influence of environmental variables on the changes of two erodibility methods, through the application of three estimation algorithms of K Factor. The analysis of this information allows knowing the significance of the input data to the models in the erodibility estimation, and likewise the consequence of the algorithm selected for the estimation of K Factor. The results show that the slopes, as well as the vegetation index (NDVI) and the mineralogical composition index (IOI), generated both by remote sensing techniques, have shown the highest values of association between methods.


2021 ◽  
Vol 13 (3) ◽  
pp. 366
Author(s):  
Renato Macciotta ◽  
Michael T. Hendry

Transportation infrastructure in mountainous terrain and through river valleys is exposed to a variety of landslide phenomena. This is particularly the case for highway and railway corridors in Western Canada that connect towns and industries through prairie valleys and the Canadian cordillera. The fluidity of these corridors is important for the economy of the country and the safety of workers, and users of this infrastructure is paramount. Stabilization of all active slopes is financially challenging given the extensive area where landslides are a possibility, and monitoring and minimization of slope failure consequences becomes an attractive risk management strategy. In this regard, remote sensing techniques provide a means for enhancing the monitoring toolbox of the geotechnical engineer. This includes an improved identification of active landslides in large areas, robust complement to in-place instrumentation for enhanced landslide investigation, and an improved definition of landslide extents and deformation mechanisms. This paper builds upon the extensive literature on the application of remote sensing techniques and discusses practical insights gained from a suite of case studies from the authors’ experience in Western Canada. The review of the case studies presents a variety of landslide mechanisms and remote sensing technologies. The aim of the paper is to transfer some of the insights gained through these case studies to the reader.


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