The Millennium Ecosystem Assessment: testing the limits of interdisciplinary and multi-scale science

被引:31
|
作者
Reid, Walter V. [1 ]
Mooney, Harold A. [2 ]
机构
[1] David & Lucile Packard Fdn, Conservat & Sci Program, Los Altos, CA 94022 USA
[2] Stanford Univ, Stanford, CA 94305 USA
关键词
D O I
10.1016/j.cosust.2015.11.009
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Millennium Ecosystem Assessment was modeled on the Intergovernmental Panel on Climate Change. It was carried out as a pilot of an assessment mechanism designed to meet decision makers' needs for information on how human actions were changing biodiversity and ecosystems, how those changes were affecting ecosystem services and human wellbeing, and what actions could be taken to enhance environmental conservation and human well-being. Despite the considerable research that was available in 2000 on biodiversity and ecosystems and on various aspects of human well-being, it was surprisingly difficult to find research at the interface of natural and social sciences and economics. Yet the key questions being posed by decision-makers (e.g., 'what will be the impact of biodiversity changes on local or national economies and human health') required that interdisciplinary research. We encountered other key research gaps, including the need for better understanding of the cross-scale impacts of both environmental changes and policy interventions and the challenges of addressing questions of human well-being across different cultures and different understandings of science and epistemology. This paper identifies some of the most challenging elements of the assessment and the steps that were taken to address them. In addition to the knowledge assessed by the MA, one of the important outcomes was to stimulate greater interdisciplinary and transdisciplinary research to address these issues that were not only fundamentally scientifically interesting, but also critically important for decision makers.
引用
收藏
页码:40 / 46
页数:7
相关论文
共 50 条
  • [21] Hierarchical multi-scale approach in the prediction of forming limits diagram
    Morteza Alizad Kamran
    Bijan Mollaei Dariani
    Archives of Civil and Mechanical Engineering, 25 (3)
  • [22] Concussion As a Multi-Scale Complex System: An interdisciplinary Synthesis of Current Knowledge
    Kenzie, Erin S.
    Parks, Elle L.
    Bigler, Erin D.
    Lim, Miranda M.
    Chesnutt, James C.
    Wakeland, Wayne
    FRONTIERS IN NEUROLOGY, 2017, 8
  • [23] Multi-scale vulnerability assessment for adaptation planning
    Esteves, Tashina
    Ravindranath, Darshini
    Beddamatta, Satyasiba
    Raju, K. V.
    Sharma, Jagmohan
    Bala, G.
    Murthy, Indu K.
    CURRENT SCIENCE, 2016, 110 (07): : 1225 - 1239
  • [24] Multi-scale assessment of distribution and density of procellariiform seabirds within the Northern Antarctic Peninsula marine ecosystem
    Warwick-Evans, V
    Santora, J. A.
    Waggitt, J. J.
    Trathan, P. N.
    ICES JOURNAL OF MARINE SCIENCE, 2021, 78 (04) : 1324 - 1339
  • [25] Multi-scale assessment of a grassland productivity model
    Taylor, Shawn D.
    Browning, Dawn M.
    BIOGEOSCIENCES, 2021, 18 (06) : 2213 - 2220
  • [26] Multi-scale and scalable video quality assessment
    Seshadrinathan, Kalpana
    Bovik, Alan C.
    2008 DIGEST OF TECHNICAL PAPERS INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS, 2008, : 540 - 541
  • [27] Multi-scale water vulnerability assessment research
    Xia, Jun
    Weng, Jianwu
    Chen, Junxu
    Qiu, Bing
    Yingyong Jichu yu Gongcheng Kexue Xuebao/Journal of Basic Science and Engineering, 2012, 20 (SUPPL.): : 1 - 14
  • [28] A network of magnetometers for multi-scale urban science and informatics
    Bowen, Trevor A.
    Zhivun, Elena
    Wickenbrock, Arne
    Dumont, Vincent
    Bale, Stuart D.
    Pankow, Christopher
    Dobler, Gregory
    Wurtele, Jonathan S.
    Budker, Dmitry
    GEOSCIENTIFIC INSTRUMENTATION METHODS AND DATA SYSTEMS, 2019, 8 (01) : 129 - 138
  • [29] Multi-scale modeling and simulation in materials science, preface
    Schulze, T.
    Alexiades, V.
    Feng, X.
    JOURNAL OF SCIENTIFIC COMPUTING, 2008, 37 (01) : 1 - 2
  • [30] Multi-scale Modeling and Simulation in Materials Science, Preface
    Tim Schulze
    Vasilios Alexiades
    Xiaobing Feng
    Journal of Scientific Computing, 2008, 37 : 1 - 2