Deakin University, Geelong, School of Life and Environmental Sciences, Faculty of Science, Engineering and the Built Environment, 221 Burwood Hwy, Burwood 3125, VIC, Australia.
Deakin University, Geelong, School of Life and Environmental Sciences, Faculty of Science, Engineering and the Built Environment, 221 Burwood Hwy, Burwood 3125, VIC, Australia.
Sci Total Environ. 2022 Dec 10;851(Pt 2):158318. doi: 10.1016/j.scitotenv.2022.158318. Epub 2022 Aug 26.
Refugia within landscapes are increasingly important as climate change intensifies, yet identifying refugia, and how they respond to climatic perturbations remains understudied. We use Normalized Difference Vegetation Index (NDVI) developed during extreme drought to identify drought refugia. We then utilise camera trapping to understand the ecological role and importance of these refugia under fluctuating rainfall conditions. Ground foraging mammals and birds were surveyed annually from 2016 to 2019 whereby 171 remote-sensing cameras were deployed in the southern section of the Grampians, Australia. NDVI values were calculated during Australia's millennium drought, allowing the assessment of how NDVI calculated during extreme drought predicts drought refugia and the response of biodiversity to NDVI under rainfall fluctuations. Site occupancy of bird and mammal assemblages were dependent on NDVI, with areas of high NDVI during drought exhibiting characteristics consistent with refugia. Rainfall pulses increased site occupancy at all sites with colonisation probability initially associated with higher NDVI sites. Extinction probabilities were greatest at low NDVI sites when rainfall declined. Within mesic systems, remotely sensed NDVI can identify areas of the landscape that act as drought refugia enabling landscape management to prioritise species conservation within these areas. The protection and persistence of refugia is crucial in ensuring landscapes and their species communities therein are resilient to a range of climate change scenarios.
随着气候变化的加剧，景观中的避难所变得越来越重要，但对避难所的识别及其对气候干扰的响应仍研究不足。我们利用极端干旱期间开发的归一化差异植被指数 (NDVI) 来识别干旱避难所。然后，我们利用相机陷阱来了解在降雨量波动的情况下这些避难所的生态作用和重要性。从 2016 年到 2019 年，我们每年都会对地面觅食的哺乳动物和鸟类进行调查，在澳大利亚格兰屏山的南段部署了 171 个遥感相机。在澳大利亚千年干旱期间计算了 NDVI 值，从而评估了在极端干旱期间计算的 NDVI 如何预测干旱避难所以及生物多样性对降雨量波动下的 NDVI 的响应。鸟类和哺乳动物组合的地点占有率取决于 NDVI，在干旱期间具有高 NDVI 值的区域表现出与避难所一致的特征。在所有地点，降雨脉冲都增加了地点占有率，而最初与较高 NDVI 地点相关的定居概率。当降雨量下降时，低 NDVI 地点的灭绝概率最大。在湿润系统中，遥感 NDVI 可以识别出作为干旱避难所的景观区域，从而使景观管理能够在这些区域优先考虑物种保护。保护和维持避难所对于确保景观及其物种群落能够抵御各种气候变化情景至关重要。
