TY - JOUR
T1 - Developing and testing a habitat suitability index model for Korean water deer (Hydropotes inermis argyropus) and its potential for landscape management decisions in Korea
AU - Jung, Jihyang
AU - Shimizu, Yo
AU - Omasa, Kenji
AU - Kim, Sungsu
AU - Lee, Sangdon
N1 - Funding Information:
We express our sincere gratitude for Professor Dr. Joachim Sieler (Leipzig University, Germany) for his active interest in our work. The present study was in part supported by a visiting Stipendium from the Sächsische Staatsministerium für Wissenschaft und Kunst (KVD), which is gratefully acknowledged.
Publisher Copyright:
© 2016 Korean Society for Integrative Biology.
PY - 2016/7/3
Y1 - 2016/7/3
N2 - Geographic information system (GIS) and landscape-level data offer a new opportunity for modeling and evaluating the quality of wildlife habitats. Models of habitat quality have not been developed for some species, and existing models could be improved by incorporating updated information on wildlife–habitat relationships and habitat variables. We developed a GIS-based habitat suitability index (HSI) model for the Korean water deer (Hydropotes inermis argyropus), which often causes human–wildlife conflicts in the Chungnam Province of Korea because of industrialization and urbanization. The model is based on logistic regression analysis, which addresses the impact of multiple habitat variables, such as habitat components, topographic characteristics, and human disturbances. The model yielded a p-value of.289 (χ2 = 9.672) and 65.4% correct prediction level with the overall observation–prediction comparison data. The model demonstrated that a large portion of the province (61.6%) could be regarded as a poor habitat (mean HSI value of the province = 0.22), while the current habitats of the province could be considered of moderate quality (mean HSI value = 0.31). In addition, the chance of observation of the deer increases as the HSI level increases, which means that the model yields a good predictive power. Lastly, we used the model to produce a habitat suitability map. Our HSI model enabled us to quantify habitat preferences, which could be the basis for decision-making on habitat protection, mitigation, and enhancement of the Korean water deer. The proposed model is also applicable for improving and enhancing the existing management practices, as well as for establishing an effective wildlife protection policy.
AB - Geographic information system (GIS) and landscape-level data offer a new opportunity for modeling and evaluating the quality of wildlife habitats. Models of habitat quality have not been developed for some species, and existing models could be improved by incorporating updated information on wildlife–habitat relationships and habitat variables. We developed a GIS-based habitat suitability index (HSI) model for the Korean water deer (Hydropotes inermis argyropus), which often causes human–wildlife conflicts in the Chungnam Province of Korea because of industrialization and urbanization. The model is based on logistic regression analysis, which addresses the impact of multiple habitat variables, such as habitat components, topographic characteristics, and human disturbances. The model yielded a p-value of.289 (χ2 = 9.672) and 65.4% correct prediction level with the overall observation–prediction comparison data. The model demonstrated that a large portion of the province (61.6%) could be regarded as a poor habitat (mean HSI value of the province = 0.22), while the current habitats of the province could be considered of moderate quality (mean HSI value = 0.31). In addition, the chance of observation of the deer increases as the HSI level increases, which means that the model yields a good predictive power. Lastly, we used the model to produce a habitat suitability map. Our HSI model enabled us to quantify habitat preferences, which could be the basis for decision-making on habitat protection, mitigation, and enhancement of the Korean water deer. The proposed model is also applicable for improving and enhancing the existing management practices, as well as for establishing an effective wildlife protection policy.
KW - Geographic information system
KW - Korean water deer (Hydropotes inermis argyropus)
KW - habitat suitability index model
KW - logistic regression analysis
KW - wildlife management
UR - http://www.scopus.com/inward/record.url?scp=84978946701&partnerID=8YFLogxK
U2 - 10.1080/19768354.2016.1210228
DO - 10.1080/19768354.2016.1210228
M3 - Article
AN - SCOPUS:84978946701
SN - 1976-8354
VL - 20
SP - 218
EP - 227
JO - Animal Cells and Systems
JF - Animal Cells and Systems
IS - 4
ER -