Department of Population Health and Reproduction, University of California-Davis, Davis, California, United States of America.
Center for Animal Disease Modeling and Surveillance (CADMS), University of California-Davis, Davis, California, United States of America.
PLoS One. 2022 Jun 28;17(6):e0270500. doi: 10.1371/journal.pone.0270500. eCollection 2022.
The US is currently experiencing a return to raising domestic pigs outdoors, due to consumer demand for sustainably-raised animal products. A challenge in raising pigs outdoors is the possibility of these animals interacting with feral pigs and an associated risk of pathogen transmission. California has one of the largest and widest geographic distributions of feral pigs. Locations at greatest risk for increased contact between both swine populations are those regions that contain feral pig suitable habitat located near outdoor-raised domestic pigs. The main aim of this study entailed identifying potential high-risk areas of disease transmission between these two swine populations. Aims were achieved by predicting suitable feral pig habitat using Maximum Entropy (MaxEnt); mapping the spatial distribution of outdoor-raised pig operations (OPO); and identifying high-risk regions where there is overlap between feral pig suitable habitat and OPO. A MaxEnt prediction map with estimates of the relative probability of suitable feral pig habitat was built, using hunting tags as presence-only points. Predictor layers were included in variable selection steps for model building. Five variables were identified as important in predicting suitable feral pig habitat in the final model, including the annual maximum green vegetation fraction, elevation, the minimum temperature of the coldest month, precipitation of the wettest month and the coefficient of variation for seasonal precipitation. For the risk map, the final MaxEnt model was overlapped with the location of OPOs to categorize areas at greatest risk for contact between feral swine and domestic pigs raised outdoors and subsequent potential disease transmission. Since raising pigs outdoors is a remerging trend, feral pig numbers are increasing nationwide, and both groups are reservoirs for various pathogens, the contact between these two swine populations has important implications for disease transmission in the wildlife-livestock interface.
美国目前正出现重新将猪饲养在户外的趋势,这是因为消费者对可持续饲养的动物产品的需求。在户外饲养猪的一个挑战是这些动物可能与野猪接触,从而存在病原体传播的风险。加利福尼亚州拥有最大和最广泛的野猪地理分布。户外饲养的家猪与野猪接触风险最高的地区是那些包含野猪适宜栖息地且靠近户外饲养家猪的地区。本研究的主要目的是确定这两个猪群之间疾病传播的潜在高风险区域。通过使用最大熵(MaxEnt)预测适宜野猪栖息地、绘制户外饲养猪作业(OPO)的空间分布以及识别野猪适宜栖息地与 OPO 重叠的高风险区域来实现目标。使用狩猎标签作为仅存在点,构建了一个具有适宜野猪栖息地相对概率估计的 MaxEnt 预测图。预测层被包含在模型构建的变量选择步骤中。在最终模型中,确定了五个对预测适宜野猪栖息地很重要的变量,包括最大绿色植被分数、海拔、最冷月的最低温度、最湿月的降水量和季节性降水的变异系数。对于风险图,将最终的 MaxEnt 模型与 OPO 的位置重叠,以对野猪和户外饲养的家猪接触风险最高的区域进行分类,并可能随后传播疾病。由于户外饲养猪是一种重新出现的趋势,全国范围内野猪的数量正在增加,而且这两个群体都是各种病原体的宿主,因此这两个猪群之间的接触对野生动物-牲畜界面中的疾病传播具有重要意义。