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Assessment and prediction of spatial patterns of human-elephant conflicts in changing land cover scenarios of a human-dominated landscape in North Bengal

机译:评估和预测北孟加拉邦人为景观的土地覆盖场景变化中人与大象冲突的空间格局

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摘要

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.
机译:研究人类与野生生物冲突的空间格局,以了解这种相互作用的潜在机制,即主要的土地利用变化和重要的生态驱动因素,至关重要。在印度东北部地区,自然,经济发展与野生动植物栖息地的碎片化之间存在差距,导致人类与亚洲象(Elephas maximus)之间的激烈冲突。在过去的几十年中,大象和人口都在增加,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保存的有关2006年至2016年大象袭击造成的人员伤亡的数据,以了解人类与大象之间的冲突,频率和分布的时空格局。在2006年至2016年期间,大象死亡的平均年平均死亡人数估计为212(SE 103),在2010-2011年间记录的此类事件数量最高。基于分辨率为5 km 2 和25 km 2 的网格设计,仅通过Maxent存在模型识别的人类与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,茶园和农业的面积。使用Arc GIS中的卫星图像对2008年至2018年该地区的主要土地利用变化进行了评估,并使用Idrisi Selva绘制了2028年的预测图像。根据2018年的图像,发现森林面积在10年(2008-2018年)内增加了446 km 2 ,年变化率为12%。农业面积减少了128 km 2 ,年变化率为2.5%。茶园面积减少了307 km 2 ,年(-)变化率为12%,而人类住区面积增加了61 km 2 ,年变化(-) )的变化率为44%。人们在东西方向主要是在保护区,茶园和主要河流走廊沿线确定了人与大象的冲突热点。在与农民,茶农的非正式交流中,人们发现当地社区成员在酒精的影响下从农田,人类住区追逐和骚扰大象,因此是致命交流的主要受害者。我们的分析方法可以复制到存在类似人类与野生动物冲突问题的地点中的其他物种。冲突风险的热点地图将有助于制定适当的缓解战略,例如建立预警系统,恢复特别是干旱河床沿线的野生动物走廊,使用威慑力和对弱势群体的障碍。应当定期组织有关与酒精有关的事件和大象的基本生物学的认识,吸引针对边缘化农民和茶园工人的非政府组织参与。

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