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Baseline Climate Grid Resolution and Climate Time Step Impacts on Desert Vegetation Habitat Models

机译:基线气候网格分辨率和气候时间步长对沙漠植被栖息地模型的影响

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摘要

While it is often the assumption in environmental modeling that finer-resolution modeling is preferred, especially if computation times are not prohibitive, few studies have assessed how climate grid resolution influences the Maxent-predicted habitat of desert vegetation species. Further, drought events can occur over longer or shorter terms with drought length potentially influencing species' habitat distributions. This study uses four higher-elevation Mojave Desert plant species experiencing known habitat contractions corresponding with climatic changes to assess how sensitive Maxent species distribution models are to using 5- and 10-year averaged climate data, as well as 800-m and 4-km resampled gridded climate data. Results show there are spatial differences in models despite relatively consistent clustering of three of the species' recorded field locations, whereas predicting habitat for the more broadly ranging species results in less certainty across all models. Overall, models were more sensitive to the spatial resolution of the climate data than to the climate time step used. When considering geographic areas with high relief, such as the Newberry Mountains in southern Nevada constituting the study area, the spatial resolution of climate data has a major influence on modeled habitat. As more fine-resolution climate data become available, researchers may need to establish more plots for field collection to assess specific microclimatic effects on vegetation.
机译:虽然通常是环境模型的假设,优选更精细的分辨率建模,特别是如果计算时间不令人满意,但很少有研究评估了气候网格分辨率如何影响最大预测的沙漠植被物种的栖息地。此外,干旱事件可能发生在较长或更短的术语上,潜在影响物种的栖息地分布。本研究采用四个高度高度莫哈韦沙漠植物物种,经历了具有气候变化的已知栖息地收缩,以评估最大值的敏感性物种分布模型如何使用5级和10年的平均气候数据,以及800米和4公里重新采样网格的气候数据。结果表明,款式的空间差异尽管有三个物种的录制现场位置,但预测更广泛的物种的栖息地导致所有模型的确定性不那么确定。总体而言,模型对气候数据的空间分辨率比使用的气候时间步长更敏感。在考虑高浮雕的地理区域,如纽法布尔南部的南内华达州构成研究区域,气候数据的空间分辨率对模型栖息地产生了重大影响。随着较为精细的气候数据可用,研究人员可能需要为现场收集建立更多地块,以评估对植被的特异性微跨度影响。

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