Integrating geo-referenced multiscale and multidisciplinary data for the management of biodiversity in livestock genetic resources

被引：29
|
作者：
Joost, S. [1 ]
Colli, L. [2 ]
Baret, P. V. [3 ]
Garcia, J. F. [4 ]
Boettcher, P. J. [5 ]
Tixier-Boichard, M. [6 ,7 ]
Ajmone-Marsan, P. [2 ]
机构：
[1] Ecole Polytech Fed Lausanne, Lab Geog Informat Syst, Sch Architecture Civil & Environm Engn ENAC, CH-1015 Lausanne, Switzerland
[2] Univ Cattolica S Cuore di Piacenza, Fac Agr, Ist Zootecn, I-29122 Piacenza, Italy
[3] Catholic Univ Louvain, GENA POPS, ELI, B-1348 Louvain, Belgium
[4] Univ Estadual Paulista, Dept Apoio Prod & Saude Anim, BR-16050680 Aracatuba, SP, Brazil
[5] Food & Agr Org United Nations, Anim Prod & Hlth Div, I-00153 Rome, Italy
[6] INRA, F-78350 Jouy En Josas, France
[7] AgroParisTech, UMR1313, GABI, F-78350 Jouy En Josas, France
来源：
ANIMAL GENETICS | 2010年 / 41卷
关键词：
conservation; data integration; genetic resources; geodata; Geographic Information Systems; livestock; statistics; GEOGRAPHIC INFORMATION-SYSTEM; NONPOINT-SOURCE POLLUTION; SPATIAL-ANALYSIS; LAND-USE; ENVIRONMENTAL DATA; CANDIDATE LOCI; GIS ANALYSIS; LANDSCAPE; DESIGN; CATTLE;
D O I：
10.1111/j.1365-2052.2010.02037.x
中图分类号：
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号：
0905 ;
摘要：
P>In livestock genetic resource conservation, decision making about conservation priorities is based on the simultaneous analysis of several different criteria that may contribute to long-term sustainable breeding conditions, such as genetic and demographic characteristics, environmental conditions, and role of the breed in the local or regional economy. Here we address methods to integrate different data sets and highlight problems related to interdisciplinary comparisons. Data integration is based on the use of geographic coordinates and Geographic Information Systems (GIS). In addition to technical problems related to projection systems, GIS have to face the challenging issue of the non homogeneous scale of their data sets. We give examples of the successful use of GIS for data integration and examine the risk of obtaining biased results when integrating datasets that have been captured at different scales.
引用
收藏
页码：47 / 63
页数：17
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