Co-ordinating economic, behavioural and spatial aspects of wildlife preservation in agriculture

This paper addresses the supply side of wildlife preservation and restoration in agriculture at the regional level. First, we show how network design modelling can be used for economic optimal spatial selection of unsprayed field margins creating a wildlife corridor in the landscape. Second, we analyse the compatibility of field margin management with farmers' perceptions by using the results of conjoint analysis in the spatial optimisation. The theoretical model is implemented by means of a GIS model and an empirical example is added to illustrate the approach. Copyright 1999 by Oxford University Press.

[1]  E. Herricks,et al.  Impact Targets versus Discharge Standards in Agricultural Pollution Management , 1991 .

[2]  D. Aaker,et al.  Chapter 2 – Marketing research , 2004 .

[3]  Andrew R. Solow,et al.  A note on optimal algorithms for reserve site selection , 1996 .

[4]  Kenneth A. Algozin,et al.  Economically efficient watershed management with environmental impact and income distribution goals , 1998 .

[5]  Clifford R. Jurgens.  Strategic planning for sustainable rural development , 1993 .

[6]  Peter Värbrand,et al.  A strong lower bound for the Node Weighted Steiner Tree Problem , 1998 .

[7]  John B. Braden,et al.  Optimal Spatial Management of Agricultural Pollution , 1989 .

[8]  Rolph E. Anderson,et al.  Multivariate Data Analysis with Readings , 1979 .

[9]  Stephen J. Garland,et al.  Algorithm 97: Shortest path , 1962, Commun. ACM.

[10]  Thomas L. Magnanti,et al.  Network Design and Transportation Planning: Models and Algorithms , 1984, Transp. Sci..

[11]  Jin Y. Yen.  Shortest path network problems , 1975 .

[12]  S. Swinton,et al.  Economic methods for comparing alternative crop production systems: A review of the literature , 1996 .

[13]  Frederick S. Hillier,et al.  Introduction of Operations Research , 1967 .

[14]  Edsger W. Dijkstra,et al.  A note on two problems in connexion with graphs , 1959, Numerische Mathematik.

[15]  Akinwumi A. Adesina,et al.  Farmers' perceptions and adoption of new agricultural technology: evidence from analysis in Burkina Faso and Guinea, West Africa , 1995 .

[16]  Gilbert A. Churchill,et al.  Marketing Research: Methodological Foundations , 1976 .

[17]  I. Fraser,et al.  THE POTENTIAL IMPACT OF ENVIRONMENTAL CROSS-COMPLIANCE ON ARABLE FARMING , 1995 .

[18]  Hugh P. Possingham,et al.  Optimality in reserve selection algorithms: When does it matter and how much? , 1996 .

[19]  Hayri Önal,et al.  A computationally convenient diversity measure: Theory and application , 1997 .

[20]  L. Slangen.  How to organise nature production by farmers , 1997 .

[21]  Peter J. Edwards,et al.  The value of biodiversity : Where ecology and economy blend , 1998 .

[22]  G.A.A. Wossink,et al.  Farmer perceptions of weed control techniques in sugarbeet , 1997 .

[23]  Jin Y. Yen,et al.  Finding the Lengths of All Shortest paths in N -Node Nonnegative-Distance Complete Networks Using 12N3 Additions and N3 Comparisons , 1972, JACM.

[24]  C. R. Jurgens.  Tools for the spatial analysis of land and for the planning of infrastructures in multiple-landuse situations , 1992 .

[25]  Andrew Moxey,et al.  GEOGRAPHICAL INFORMATION SYSTEMS AND AGRICULTURAL ECONOMICS , 1996 .

[26]  M. Whitby,et al.  The CAP and the European environment , 1997 .

[27]  Ben White,et al.  EFFICIENT COMPLIANCE WITH AGRICULTURAL NITRATE POLLUTION STANDARDS , 1994 .

[28]  Gregory P. White,et al.  A Note on Yen's Algorithm for Finding the Length of All Shortest Paths in N-Node Nonnegative-Distance Networks , 1973, JACM.