Eliciting and integrating expert knowledge for wildlife habitat modelling

作者: Kuniko Yamada , Jane Elith , Michael McCarthy , Andre Zerger

DOI: 10.1016/S0304-3800(03)00077-2

关键词:

摘要: Expert knowledge regarding the distribution of sambar deer (Cervis unicolor) in Lake Eildon National Park (LENP), Victoria was used to build a wildlife habitat model assist with park management. The paper presents two methods for eliciting expert knowledge. These were quantitative geographical information system (GIS)-based approach using customised graphical user interface, and qualitative that uses semi-structured interviews. GIS is valuable as it objective, repeatable provides spatial context elicitation. Experts asked provide estimates sightings predicted densities assistance contextual environmental data including terrain, roads, hydrology rainfall surfaces. elicitation process did not identify any niches Park, experts disagreed about location likely habitat. On other hand, assessment showed very strong agreement combination this published literature map. results analysis indicate occur throughout entire Park. It envisaged can be baseline population modelling natural resource management Elicitation complicated by number factors computer proficiency study site familiarity. relatively large cohort inherent inconsistencies encountered managers should interpret carefully from models use only small experts.

参考文章(24)
Ant H. Maddock, Michael J. Samways, Planning for biodiversity conservation based on the knowledge of biologists. Biodiversity and Conservation. ,vol. 9, pp. 1153- 1169 ,(2000) , 10.1023/A:1008992602151
V. Radeloff, Dynamische Modellierung eines Rehwildbestandes in einem GIS Zeitschrift Fur Jagdwissenschaft. ,vol. 42, pp. 203- 213 ,(1996) , 10.1007/BF02242544
David B. Lindenmayer, Mark A. Burgman, Claire Drill, Conservation Biology for the Australian Environment ,(1998)
Jörn Möltgen, Benno Schmidt, Werner Kuhn, Landscape Editing with Knowledge-Based Measure Deductions for Ecological Planning Lecture Notes in Computer Science. pp. 139- 152 ,(1999) , 10.1007/3-540-46621-5_9
David M. Stoms, Frank W. Davis, Christopher B. Cogan, Sensitivity of wildlife habitat models to uncertainties in GIS data Photogrammetric Engineering and Remote Sensing. ,vol. 58, pp. 843- 850 ,(1992)
Seppo Puuronen, Vagan Terziyan, None, Knowledge Acquisition from Multiple Experts Based on Semantics of Concepts knowledge acquisition modeling and management. pp. 259- 273 ,(1999) , 10.1007/3-540-48775-1_16
JOHN HASLETT, GRAHAM WILLS, ANTONY UNWIN, SPIDER—an interactive statistical tool for the analysis of spatially distributed data International Journal of Geographic Information Systems. ,vol. 4, pp. 285- 296 ,(1990) , 10.1080/02693799008941547
C. Hackett, J.K. Vanclay, Mobilizing expert knowledge of tree growth with the PLANTGRO and INFER systems Ecological Modelling. ,vol. 106, pp. 233- 246 ,(1998) , 10.1016/S0304-3800(97)00185-3
Sašo Džeroski, Jasna Grbović, William J. Walley, Boris Kompare, Using machine learning techniques in the construction of models. II. Data analysis with rule induction Ecological Modelling. ,vol. 95, pp. 95- 111 ,(1997) , 10.1016/S0304-3800(96)00029-4
Volker C. Radeloff, Anna M. Pidgeon, Patrick Hostert, Habitat and population modelling of roe deer using an interactive geographic information system Ecological Modelling. ,vol. 114, pp. 287- 304 ,(1999) , 10.1016/S0304-3800(98)00164-1