Kelly Ryan P, O'Donnell James L, Lowell Natalie C, Shelton Andrew O, Samhouri Jameal F, Hennessey Shannon M, Feist Blake E, Williams Gregory D
School of Marine and Environmental Affairs, University of Washington , Seattle , WA , United States of America.
School of Aquatic and Fishery Sciences, University of Washington , Seattle , WA , United States of America.
PeerJ. 2016 Sep 13;4:e2444. doi: 10.7717/peerj.2444. eCollection 2016.
Despite decades of work in environmental science and ecology, estimating human influences on ecosystems remains challenging. This is partly due to complex chains of causation among ecosystem elements, exacerbated by the difficulty of collecting biological data at sufficient spatial, temporal, and taxonomic scales. Here, we demonstrate the utility of environmental DNA (eDNA) for quantifying associations between human land use and changes in an adjacent ecosystem. We analyze metazoan eDNA sequences from water sampled in nearshore marine eelgrass communities and assess the relationship between these ecological communities and the degree of urbanization in the surrounding watershed. Counter to conventional wisdom, we find strongly increasing richness and decreasing beta diversity with greater urbanization, and similar trends in the diversity of life histories with urbanization. We also find evidence that urbanization influences nearshore communities at local (hundreds of meters) rather than regional (tens of km) scales. Given that different survey methods sample different components of an ecosystem, we then discuss the advantages of eDNA-which we use here to detect hundreds of taxa simultaneously-as a complement to traditional ecological sampling, particularly in the context of broad ecological assessments where exhaustive manual sampling is impractical. Genetic data are a powerful means of uncovering human-ecosystem interactions that might otherwise remain hidden; nevertheless, no sampling method reveals the whole of a biological community.
尽管在环境科学和生态学领域开展了数十年的研究工作,但估算人类活动对生态系统的影响仍然具有挑战性。部分原因在于生态系统各要素之间存在复杂的因果链,而在足够的空间、时间和分类尺度上收集生物数据的困难又加剧了这一情况。在此,我们展示了环境DNA(eDNA)在量化人类土地利用与相邻生态系统变化之间关联方面的效用。我们分析了从近岸海草群落采集的水样中的后生动物eDNA序列,并评估了这些生态群落与周边流域城市化程度之间的关系。与传统观念相反,我们发现随着城市化程度的提高,丰富度显著增加,β多样性降低,并且生活史多样性也呈现出类似的城市化趋势。我们还发现有证据表明,城市化对近岸群落的影响发生在局部(数百米)而非区域(数十公里)尺度上。鉴于不同的调查方法会对生态系统的不同组成部分进行采样,我们随后讨论了eDNA作为传统生态采样补充手段的优势——我们在此利用eDNA同时检测数百个分类单元——特别是在全面的生态评估背景下,详尽的人工采样不切实际的情况下。遗传数据是揭示可能 otherwise remain hidden的人类 - 生态系统相互作用的有力手段;然而,没有一种采样方法能够揭示整个生物群落的全貌。