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Terry V.Callaghan Lars Olof Bjrn Yuri Chernov Terry Chapin Torben R.Christensen Brian Huntley Roll A.Ims Margareta Johansson Dyanna Jolly Sven Jonasson Nadya Matveyeva Nicolai Panikov Walter Oechel Gus Shaver 《Ambio-人类环境杂志》2004,33(7):369-373
引言
人们普遍认为,全球气候变暖在北极将进一步放大,由于平流层臭氧修复的可能延误,紫外线B(UV-B)辐射可能继续增加,北极环境及其居民可能特别易受这类环境变化的影响.上述共识促进了对气候变化影响的国际评估工作.北极气候影响评估(ACIA)是一项为时4年的研究,结果出版了一篇重要的科研报告[1]并产生了其他的成果.在本文以及本期Ambio专刊下面的文章中,我们提供了报告中针对北极陆地生态系统(从树线群落交错带到极地荒漠)的部分研究成果. 相似文献
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Locher-Krause Karla E. Lautenbach Sven Volk Martin 《Regional Environmental Change》2017,17(8):2477-2493
Regional Environmental Change - The understanding of how ecosystem services are distributed across the landscape and their change over time provides key information to manage multi-functional... 相似文献
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It is generally accepted as a useful and workable hypothesis that when an ecosystem receives an inflow of exergy (energy that can do work) it will utilize this flow of exergy to move as far away from thermodynamic equilibrium as possible after the exergy (energy) for maintenance has been covered. If more combinations of system components including organisms are offered, the combination of components and processes that will bring the system most away from thermodynamic equilibrium will win.The amino acid sequences of the proteins e.g. enzymes determine and control the life processes of the organisms and may be viewed as information sensu lato. The free energy of oxidation of the amino acids and the peptide bonds of the cell enzymes expresses therefore the exergy content, eco-exergy or work capacity that the information contributes to “moving further away from thermodynamic equilibrium”. In this paper eco-exergy is calculated and plotted versus the β-values (a measure of the information contained in the genome) for different organisms. The eco-exergy density was previously (see
[J?rgensen et al., 1995] and [J?rgensen et al., 2005]) proposed to be calculated as the summation of the product of the β-values representing the information of the genome multiplied by the concentrations of the respective ecosystem components. This analysis shows a strong correlation between the β-values and free energy released when oxidizing the enzymes. The β-values can therefore be assumed to represent the free energy that the organisms have invested in genetic information. 相似文献
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Martin Volk Sven Lautenbach Hedwig van Delden Lachlan T. H. Newham Ralf Seppelt 《Environmental management》2010,46(6):834-849
This article analyses the benefits and shortcomings of the recently developed decision support systems (DSS) FLUMAGIS, Elbe-DSS,
CatchMODS, and MedAction. The analysis elaborates on the following aspects: (i) application area/decision problem, (ii) stakeholder
interaction/users involved, (iii) structure of DSS/model structure, (iv) usage of the DSS, and finally (v) most important
shortcomings. On the basis of this analysis, we formulate four criteria that we consider essential for the successful use
of DSS in landscape and river basin management. The criteria relate to (i) system quality, (ii) user support and user training,
(iii) perceived usefulness and (iv) user satisfaction. We can show that the availability of tools and technologies for DSS
in landscape and river basin management is good to excellent. However, our investigations indicate that several problems have
to be tackled. First of all, data availability and homogenisation, uncertainty analysis and uncertainty propagation and problems
with model integration require further attention. Furthermore, the appropriate and methodological stakeholder interaction
and the definition of ‘what end-users really need and want’ have been documented as general shortcomings of all four examples
of DSS. Thus, we propose an iterative development process that enables social learning of the different groups involved in
the development process, because it is easier to design a DSS for a group of stakeholders who actively participate in an iterative
process. We also identify two important lines of further development in DSS: the use of interactive visualization tools and
the methodology of optimization to inform scenario elaboration and evaluate trade-offs among environmental measures and management
alternatives. 相似文献