Treves Adrian, Rabenhorst Mark F
Nelson Institute for Environmental Studies, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Carnivore Coexistence Lab, Madison, Wisconsin, United States of America.
PLoS One. 2017 Jun 30;12(6):e0180043. doi: 10.1371/journal.pone.0180043. eCollection 2017.
Risk maps are spatial models of environmental hazards such as predation on livestock. We tested the long-term validity of a published risk map built from locations where Wisconsin wolves attacked livestock from 1999-2006. Using data collected after model construction, we verified the predictive accuracy of the risk map exceeded 91% for the period 2007-2011. Predictive power lasting 5 years or more substantiates the claim that risk maps are both valid and verified tools for anticipating spatial hazards. Classification errors coincided with verifier uncertainty about which wolves might be responsible. Perceived threats by wolves to domestic animals were not as well predicted (82%) as verified attacks had been and errors in classification coincided with incidents involved domestic animals other than bovids and verifier uncertainty about which wolves were involved. We recommend risk maps be used to target interventions selectively at high-risk sites.
风险地图是诸如牲畜被捕食等环境危害的空间模型。我们测试了一份已发布的风险地图的长期有效性,该地图是根据1999年至2006年威斯康星州狼袭击牲畜的地点构建的。利用模型构建后收集的数据,我们验证了该风险地图在2007年至2011年期间的预测准确率超过91%。持续5年或更长时间的预测能力证实了风险地图是预测空间危害的有效且经过验证的工具这一说法。分类错误与验证者对哪些狼可能负有责任的不确定性相吻合。狼对家畜的感知威胁预测效果不如已验证的攻击情况好(82%),分类错误与涉及牛科动物以外的家畜的事件以及验证者对涉及哪些狼的不确定性相吻合。我们建议使用风险地图有针对性地在高风险地点进行干预。