基线气候网格分辨率和气候时间步长对沙漠植被生境模型的影响

IF 0.3 Q4 GEOGRAPHY
Ross J. Guida, S. R. Abella
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引用次数: 0

摘要

虽然在环境建模中通常假设更精细的分辨率建模是首选,特别是如果计算时间不高,很少有研究评估气候网格分辨率如何影响maxent预测的沙漠植被物种栖息地。此外,干旱事件可以在更长或更短的时间内发生,干旱的长度可能会影响物种的栖息地分布。本研究利用四种海拔较高的莫哈韦沙漠植物物种,利用5年和10年的平均气候数据,以及800米和4公里的重采样网格气候数据,评估了Maxent物种分布模型对气候变化的敏感性。结果表明,尽管三种物种的野外记录位置相对一致,但模型之间存在空间差异,而预测范围更广的物种的栖息地导致所有模型的确定性较低。总体而言,模式对气候数据的空间分辨率比对所使用的气候时间步长更敏感。当考虑高地形的地理区域,如内华达州南部的纽贝里山脉构成研究区域时,气候数据的空间分辨率对模拟栖息地有主要影响。随着越来越多的高分辨率气候数据的出现,研究人员可能需要建立更多的地块用于实地收集,以评估特定的小气候对植被的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Baseline Climate Grid Resolution and Climate Time Step Impacts on Desert Vegetation Habitat Models
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.
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CiteScore
1.20
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0.00%
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22
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