School of Biological Sciences, Monash University, Melbourne, Victoria 3800, Australia.
Centre for Invasion Biology, Department of Botany and Zoology, Stellenbosch University, Private Bag X1, Matieland 7602, South Africa.
Sci Data. 2018 Sep 4;5:180177. doi: 10.1038/sdata.2018.177.
Southern Ocean Islands are globally significant conservation areas. Predicting how their terrestrial ecosystems will respond to current and forecast climate change is essential for their management and requires high-quality temperature data at fine spatial resolutions. Existing datasets are inadequate for this purpose. Remote-sensed land surface temperature (LST) observations, such as those collected by satellite-mounted spectroradiometers, can provide high-resolution, spatially-continuous data for isolated locations. These methods require a clear sightline to measure surface conditions, however, which can leave large data-gaps in temperature time series. Using a spatio-temporal gap-filling method applied to high-resolution (~1 km) LST observations for 20 Southern Ocean Islands, we compiled a complete monthly temperature dataset for a 15-year period (2001-2015). We validated results using in situ measurements of microclimate temperature. Gap-filled temperature observations described the thermal heterogeneity of the region better than existing climatology datasets, particularly for islands with steep elevational gradients and strong prevailing winds. This dataset will be especially useful for terrestrial ecologists, conservation biologists, and for developing island-specific management and mitigation strategies for environmental change.
南大洋岛屿是全球具有重要意义的保护区。预测其陆地生态系统对当前和预测气候变化的反应对于这些岛屿的管理至关重要，需要高质量的、具有精细空间分辨率的温度数据。现有数据集无法满足这一需求。卫星搭载的光谱辐射计等遥感陆地表面温度（LST）观测可以为孤立地点提供高分辨率、空间连续的数据。然而，这些方法需要清晰的视线来测量地表条件，这会导致温度时间序列中出现大量数据空白。本研究使用时空填补方法对 20 个南大洋岛屿的高分辨率（~1km）LST 观测进行处理，编制了一个长达 15 年（2001-2015 年）的完整月度温度数据集。我们使用微气候温度的现场测量来验证结果。填补后的温度观测比现有气候数据集更好地描述了该地区的热异质性，特别是对于具有陡峭海拔梯度和强盛行风的岛屿。该数据集将对陆地生态学家、保护生物学家以及制定特定岛屿的环境变化管理和缓解策略具有特别重要的意义。
