tailieunhanh - ARIES (ARtificial Intelligence for Ecosystem Services ): a new tool for ecosystem services assessment, planning, and valuation.

Following the consensus points described above, we identify the specific benefits and beneficiaries that flow from the typical MA ecosystem services categories. We also identify the spatial data layers needed to map the location of these beneficiaries. In order to enable the ARIES modelling paradigm, all benefits must meet five requirements. Specifically, benefits must be: 1) quantifiable, 2) directly valuable to humans, 3) provided by one clearly identified natural entity or process, 4) used by one clearly identified human consumer, and 5) provided through the transfer of a clearly identified carrier substance that can be material, energetic or informational ( | Villa et al. BioEcon 2009 ARIES ARtificial Intelligence for Ecosystem Services a new tool for ecosystem services assessment planning and valuation. Ferdinando Villa Marta Ceroni Ken Bagstad Gary Johnson Sergey Krivov Ecoinformatics Collaboratory Gund Institute for Ecological Economics Univ. of Vermont 617 Main Street Burlington VT 05405-0001 USA ferdinando. villa@ ARIES is a new methodology and web application meant to assess ecosystem services ES and illuminate their values to humans in order to make environmental decisions easier and more effective. By creating ad-hoc probabilistic models of both provision and usage of ES in a region of interest and mapping the actual physical flows of those benefits to their beneficiaries ARIES helps discover understand and quantify environmental assets and what factors influence their value according to explicit needs and priorities. In this contribution we present the basic elements of the ARIES methodology and illustrate perspectives for integration of new ES thinking into science decision-and policy-making. Introduction The notion of Ecosystem Services ES Daily 1997 Carpenter 2003 Kremen and Ostfeld 2005 provides a cohesive scientific view of the many mechanisms through which nature contributes to human well-being. Focusing on both the biophysical mechanisms of ES provision and the economic implications of ES use can allow our societies to balance the sides of the nature vs. the economy equation leading to better management and governance Millennium Ecosystem Assessment 2002 . Unfortunately the quantitative understanding to support quantification spatial mapping and economic valuation of ES has lagged behind the popularity of the notion making it difficult to productively use ES as a base for scientific investigation and accurate decision- and policy-making Fisher Turner et al. 2006 Boyd and Figure 1. A screen capture from the preliminary ARIES web interface. The yellow outlines have been drawn by the user to delimit