Chibeya Doubt, Wood Heather, Cousins Sara, Carter Kerryn, Nyirenda Moses Amos, Maseka Henry
Biogeography and Geomatics Department of Physical Geography Stockholm University Stockholm Sweden.
Elephant Connection Research Project Lusaka Zambia.
Ecol Evol. 2021 Oct 7;11(21):14916-14931. doi: 10.1002/ece3.8177. eCollection 2021 Nov.
The influence of environmental factors on the distribution and persistence of African elephants () is pertinent to policy makers and managers to formulate balanced plans for different land-use types.The study focuses on movement of elephants and how they utilize foraging areas in Sioma Ngwezi landscape in Zambia by answering the following questions: (1) Which environmental variables and land-cover class predict the movement of elephants during the wet season in Sioma Ngwezi landscape? (2) What is the wet season suitable habitat for elephants in Sioma Ngwezi landscape? (3) What are the major wet season movement corridors for elephants in Sioma Ngwezi landscape?We used GPS telemetry data from the collared elephants to assess habitat connectivity. Maximum entropy (MaxEnt) and linkage mapper were the tools used to predict habitat suitability, movement corridors, and barriers in the landscape during the wet season.The study identified elevation, land cover, and NDVI as the most important environmental predictors that modify the dispersal of elephants in the landscape during the wet season. Additionally, a total of 36 potential wet season corridors were identified connecting 15 core areas mainly used for foraging and protection from poachers in the landscape. Of these, 24 corridors were highly utilized and are suggested as priority corridors for elephant movement in the landscape.The identified wet season habitats and functional corridors may help to combat elephant poaching by patrolling areas with high relative probability of elephant presence. The findings may also help abate human-elephant conflict such as crop-raiding by managing identified corridors that run into agriculture zones in the game management area.
环境因素对非洲象()分布和存续的影响,对于政策制定者和管理者制定不同土地利用类型的平衡计划具有重要意义。该研究聚焦于大象的活动以及它们如何在赞比亚的索马恩格韦齐景观中利用觅食区域,通过回答以下问题展开:(1)哪些环境变量和土地覆盖类别能够预测索马恩格韦齐景观雨季期间大象的活动?(2)索马恩格韦齐景观中大象雨季的适宜栖息地是什么?(3)索马恩格韦齐景观中大象雨季的主要活动走廊有哪些?我们利用佩戴了GPS追踪器的大象的数据来评估栖息地的连通性。最大熵模型(MaxEnt)和连接度分析工具被用于预测雨季期间景观中的栖息地适宜性、活动走廊和障碍。该研究确定海拔、土地覆盖和归一化植被指数(NDVI)是在雨季改变大象在景观中扩散的最重要环境预测因子。此外,总共确定了36条潜在的雨季走廊,连接了15个主要用于觅食和防范偷猎者的核心区域。其中,24条走廊被高度利用,建议作为该景观中大象活动的优先走廊。确定的雨季栖息地和功能走廊可能有助于通过在大象出现概率较高的区域巡逻来打击大象偷猎行为。这些发现还可能有助于通过管理确定的进入狩猎管理区农业地带的走廊来减少人象冲突,如庄稼掠夺。