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珊瑚礁绿洲的尺度依赖性及其环境相关性。

Scale dependence of coral reef oases and their environmental correlates.

机构信息

Hopkins Marine Station, Stanford University, Pacific Grove, California, USA.

Department of Biology, California State University, Northridge, California, USA.

出版信息

Ecol Appl. 2022 Oct;32(7):e2651. doi: 10.1002/eap.2651. Epub 2022 Jun 16.

Abstract

Identifying relatively intact areas within ecosystems and determining the conditions favoring their existence is necessary for effective management in the context of widespread environmental degradation. In this study, we used 3766 surveys of randomly selected sites in the United States and U.S. Territories to identify the correlates of sites categorized as "oases" (defined as sites with relatively high total coral cover). We used occupancy models to evaluate the influence of 10 environmental predictors on the probability that an area (21.2-km cell) would harbor coral oases defined at four spatial extents: cross-basin, basin, region, and subregion. Across all four spatial extents, oases were more likely to occur in habitats with high light attenuation. The influence of the other environmental predictors on the probability of oasis occurrence were less consistent and varied with the scale of observation. Oases were most likely in areas of low human population density, but this effect was evident only at the cross-basin and subregional extents. At the regional and subregional extents oases were more likely where sea-surface temperature was more variable, whereas at the larger spatial extents the opposite was true. By identifying the correlates of oasis occurrence, the model can inform the prioritization of reef areas for management. Areas with biophysical conditions that confer corals with physiological resilience, as well as limited human impacts, likely support coral reef oases across spatial extents. Our approach is widely applicable to the development of conservation strategies to protect biodiversity and ecosystems in an era of magnified human disturbance.

摘要

在广泛的环境退化背景下,确定生态系统中相对完整的区域,并确定有利于其存在的条件,对于有效管理是必要的。在本研究中,我们使用了美国和美国领土上随机选择的 3766 个地点的调查数据,以确定被归类为“绿洲”(定义为具有相对较高总珊瑚覆盖率的地点)的地点的相关因素。我们使用占有模型来评估 10 个环境预测因子对区域(21.2-km 单元格)存在珊瑚绿洲的概率的影响,绿洲的定义范围为跨流域、流域、区域和次区域四个空间范围。在所有四个空间范围中,绿洲更有可能出现在光照衰减较高的生境中。其他环境预测因子对绿洲出现概率的影响不太一致,并且随观测尺度而变化。绿洲最有可能出现在人口密度较低的地区,但这种影响仅在跨流域和次区域尺度上明显。在区域和次区域尺度上,当海面温度变化较大时,绿洲更有可能出现,而在较大的空间尺度上则相反。通过确定绿洲出现的相关因素,该模型可以为管理中珊瑚礁区域的优先级排序提供信息。具有赋予珊瑚生理恢复力以及有限人为影响的生境条件的区域,可能在不同空间尺度上支持珊瑚礁绿洲的存在。我们的方法广泛适用于制定保护生物多样性和生态系统的保护策略,以应对人类干扰加剧的时代。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74d3/9787915/aaef63045e3f/EAP-32-e2651-g002.jpg

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