26 research outputs found
Cross-taxon congruence in tree, bird and bat species distributions at a moderate spatial scale across four tropical forest types in the Philippines
Sustainable Management of Natural Resources in an Life-cycle Perspective (Issue Editor: Helias A. Udo de Haes)
How does iso/dis 14042 on life cycle impact assessment accommodate current best available practice?
Analysis of physical interactions between the economy and the environment
In this chapter methods for analysing the physical interactions between the economy and the environment will be discussed. The historic roots of such methods lie in the 19th century and go back to Karl Marx and Friedrich Engels, who used the term 'metabolism' (Stoffwechsel) to imply a relationship of mutual material exchange between man and nature, an interdependence beyond the widespread notion of man simply 'utilising nature'. Like many of his contemporary economists in the mid-19th century, John Stuart Mill linked this concept of metabolism to the idea of a 'stationary state', a form of economic development with no physical growth. This fi rst phrasing of 'sustainable development' was then forgotten for some time. It was not until the 1960 of the 20th century that the physical interactions between the economy and the environment again formed a basis for scientifi c thought, induced by the upcoming acknowledgement of the side effects of economic growth. Thus the economist Kenneth Boulding was worried that a 'cowboy economy' might not be compatible with 'Spaceship Earth', and outlined a coming change to a 'spaceman economy' that was suitably cautious in its dealings with fi nite resources. At the end of the 1960s, the physicist Robert Ayres and economist Allen Kneese laid the basis for a physical model, for the United States, of the material and energy fl ows between the economy and the environment, proposing to view environmental pollution as a mass balance problem for the entire economy
Life-cycle assessment for energy analysis and management
Life-cycle assessment (LCA) is a form of chain analysis in which structural pathways in the economic system are delineated and connected to environmental problems. As such, it can be seen as an extension of, or a complement to, energy analysis. The main developments over the past 30 years are sketched in a perspective that puts an emphasis on standardization and scientific consensus creation. We end with a logical next development: a closer cooperation and harmonization with the domain of energy analysis, and an expected growing interest from the energy-application side
Life-cycle assessment for energy analysis and management
Life-cycle assessment (LCA) is a form of chain analysis in which structural pathways in the economic system are delineated and connected to environmental problems. As such, it can be seen as an extension of, or a complement to, energy analysis. The main developments over the past 30 years are sketched in a perspective that puts an emphasis on standardization and scientific consensus creation. We end with a logical next development: a closer cooperation and harmonization with the domain of energy analysis, and an expected growing interest from the energy-application side.Life cycle assessment (LCA) Energy analysis Energy systems
Similarities, differences and synergisms between HERA and LCA - An analysis at three levels
Linkages between Human and Environmental Risk Assessment (HERA) and Life-Cycle Assessment (LCA) can be analyzed at three levels: the basic equations to describe environmental behavior and dose-response relationships of chemicals; the overall model structure of these tools; and the applications of the tools. At level 1 few differences exist: both tools use essentially the same fate and effect models, including their coefficients and data. At level 2 distinctive differences emerge: regional or life-cycle perspective, emission pulses or fluxes, scope of chemicals and types of impacts, use of characterization factors, spatial and temporal detail, aggregation of effects, and the functional unit as basis of the assessment. Although the two tools typically differ in all these aspects, only the functional unit issue renders the tools fundamentally different, expressing itself also in some main characteristics of the modeling structure. This impedes full integration, which is underpinned in mathematical terms. At level 3 the aims of the tools are complementary: quantified risk estimates of chemicals for HERA versus quantified product assessment for LCA. Here, beneficial synergism is possible between the two tools, as illustrated by some cases. These also illustrate that where full integration is suggested, in practice this is not achieved, thus in fact supporting the conclusions