Department of Endangered Species Management, Wildlife Institute of India, Dehradun, Uttarakhand, India.
Faculty of Wildlife Sciences, Wildlife Institute of India, Dehradun, Uttarakhand, India.
PLoS One. 2019 Feb 1;14(2):e0210580. doi: 10.1371/journal.pone.0210580. eCollection 2019.
It is of utmost importance to research on the spatial patterns of human-wildlife conflicts to understand the underlying mechanism of such interactions, i.e. major land use changes and prominent ecological drivers. In the north eastern part of India there has been a disparity between nature, economic development and fragmentation of wildlife habitats leading to intense conflicts between humans and Asian elephants (Elephas maximus) in recent times. Both the elephant and human population have increased in the past few decades with large tracts of forests converted to commercial tea plantations, army camps and human settlements. We analyzed data maintained by the wildlife department on human deaths and injuries caused by elephant attacks between 2006-2016 to understand spatial and temporal patterns of human-elephant conflict, frequency and distribution. The average annual number of human deaths and injuries to elephant attacks between 2006 to 2016 was estimated to be 212 (SE 103) with the highest number of such incidents recorded in 2010-2011. Based on a grid based design of 5 km2 and 25 km2 resolution, the main spatial predictors of human-elephant conflicts identified through Maxent presence only models are annual mean precipitation, altitude, distance from protected area, area under forests, tea plantations and agriculture. Major land use changes were assessed for this region from 2008 to 2018 using satellite imageries in Arc GIS and a predicted imagery of 2028 was prepared using Idrisi Selva. Based on the 2018 imagery it was found that forest area had increased by 446 km2 within 10 years (2008-2018) and the annual rate of change was 12%. Area under agriculture had reduced by 128 km2 with an annual (-) rate of change of 2.5%. Area under tea plantation declined by 307 km2 with an annual (-) rate of change of 12% whereas area under human settlements increased by 61 km2 with an annual (-) rate of change of 44%. Hotspots of human-elephant conflicts were identified in an east west direction primarily around protected areas, tea plantations and along major riverine corridors. During informal interactions with farmers, tea estate labors it was revealed that local community members chased and harassed elephants from agriculture fields, human settlements under the influence of alcohol and thus were primary victims of fatal interactions. Our analytical approach can be replicated for other species in sites with similar issues of human-wildlife conflicts. The hotspot maps of conflict risk will help in developing appropriate mitigation strategies such as setting up early warning systems, restoration of wildlife corridors especially along dry river beds, using deterrents and barriers for vulnerable. Awareness about alcohol related incidents and basic biology of elephants should be organized regularly involving non-governmental organizations targeting the marginalized farmers and tea estate workers.
研究人类-野生动物冲突的空间格局对于理解这种相互作用的潜在机制至关重要,即主要的土地利用变化和突出的生态驱动因素。在印度东北部,由于自然、经济发展和野生动物栖息地的破碎化之间存在差距,导致近年来人类与亚洲象(Elephas maximus)之间发生了激烈的冲突。在过去的几十年里,大象和人类的数量都有所增加,大片森林被改造成商业茶园、军营和人类住区。我们分析了野生动物部门关于 2006-2016 年期间大象袭击造成的人类伤亡的数据,以了解人类-大象冲突的时空模式、频率和分布。据估计,2006 年至 2016 年期间,每年因大象袭击而导致的人类死亡和受伤人数平均为 212 人(SE 103),其中 2010-2011 年记录的此类事件最多。基于 5km2 和 25km2 分辨率的网格设计,通过最大熵存在模型识别出的人类-大象冲突的主要空间预测因子是年平均降水量、海拔、距保护区的距离、森林面积、茶园和农业面积。使用 Arc GIS 中的卫星图像评估了该地区 2008 年至 2018 年期间的主要土地利用变化,并使用 Idrisi Selva 编制了 2028 年的预测图像。根据 2018 年的图像,发现森林面积在 10 年内增加了 446 平方公里(2008-2018 年),年增长率为 12%。农业面积减少了 128 平方公里,年(-)变化率为 2.5%。茶园面积减少了 307 平方公里,年(-)变化率为 12%,而人类住区面积增加了 61 平方公里,年(-)变化率为 44%。人类-大象冲突的热点主要沿着保护区、茶园和主要河流走廊呈东西方向分布。在与农民和茶园工人的非正式互动中,人们发现当地社区成员在酒精的影响下,从农田、人类住区驱赶和骚扰大象,因此他们是致命冲突的主要受害者。我们的分析方法可以复制到其他具有类似人类-野生动物冲突问题的地点的其他物种。冲突风险热点地图将有助于制定适当的缓解策略,例如建立预警系统、特别是沿着干涸的河床恢复野生动物走廊、使用威慑和障碍来保护弱势群体。应该定期组织有关酒精相关事件和大象基本生物学的宣传活动,涉及针对边缘化农民和茶园工人的非政府组织。