Hedberg Sydney L, Dao Phuong D, Knapp Alan K
Department of Biology and Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO, USA.
Department of Agricultural Biology and Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO, USA.
Oecologia. 2025 Aug 20;207(9):146. doi: 10.1007/s00442-025-05786-1.
Droughts are expected to increase in severity and frequency with climate change, and it is important to understand why some ecosystems are more sensitive to drought than others. Currently, there is considerable evidence that ecosystem sensitivity to drought, quantified by reductions in aboveground net primary production (ANPP), is negatively related to mean annual precipitation (MAP). Thus, arid ecosystems are more likely than mesic systems to experience dramatic reductions in productivity during drought. However, evidence for this pattern is primarily from studies that span multiple biomes making it difficult to discern if abiotic (MAP) or biotic factors (differences in plant communities) underlie this relationship. To disentangle these, we assessed patterns of drought sensitivity within a single biome, the semiarid shortgrass steppe of the western U.S., where the dominant vegetation varies minimally compared to cross-biomes studies. We used 23 years of satellite derived ANPP proxies, the Normalized Difference Vegetation Index (NDVI) and the Enhanced Vegetation Index (EVI, 157,929 pixels, 1 km resolution) with gridded precipitation data to assess relationships between drought sensitivity and MAP within this biome. Consistent with previous multi-biome studies, we found a negative, although relatively weaker, relationship between MAP (250-625 mm) and drought sensitivity within the shortgrass steppe. We conclude that while differences in vegetation types almost certainly contribute to patterns of drought sensitivity, the long-term precipitation history of an ecosystem (e.g. MAP) may also play a role in determining differences in drought sensitivity within ecosystems.
预计随着气候变化,干旱的严重程度和频率将会增加,因此了解为何有些生态系统比其他生态系统对干旱更为敏感非常重要。目前,有大量证据表明,以地上净初级生产力(ANPP)的下降来量化的生态系统对干旱的敏感性与年平均降水量(MAP)呈负相关。因此,干旱生态系统比中生生态系统在干旱期间更有可能经历生产力的大幅下降。然而,这种模式的证据主要来自跨越多个生物群落的研究,这使得难以辨别是 abiotic(MAP)还是生物因素(植物群落的差异)构成了这种关系的基础。为了厘清这些因素,我们评估了美国西部半干旱矮草草原这一单一生物群落内的干旱敏感性模式,与跨生物群落研究相比,该群落中优势植被的变化极小。我们使用了23年卫星衍生的ANPP代理数据、归一化植被指数(NDVI)和增强植被指数(EVI,157,929个像素,1公里分辨率)以及网格化降水数据,来评估该生物群落内干旱敏感性与MAP之间的关系。与之前的多生物群落研究一致,我们发现在矮草草原中,MAP(250 - 625毫米)与干旱敏感性之间存在负相关关系,尽管这种关系相对较弱。我们得出结论,虽然植被类型的差异几乎肯定会导致干旱敏感性模式的出现,但生态系统的长期降水历史(例如MAP)在决定生态系统内干旱敏感性差异方面可能也发挥了作用。