Oczkowski Autumn, Kreakie Betty, Gutierrez M Nicole, Pelletier Marguerite, Charpentier Mike, Santos Emily, Kiddon John
US EPA Atlantic Ecology Division, 27 Tarzwell Dr, Narragansett, RI 02882, United States.
King County Department of Natural Resources and Parks, 516 Third Ave, Seattle, WA 98112, United States.
Ecol Indic. 2020 Apr;111. doi: 10.1016/j.ecolind.2019.106022.
Since the 1940s, anthropogenic nitrogen (N) inputs have grown to dominate global N cycles, particularly in fluvial systems. Negative impacts of this enrichment on downstream estuaries are well documented. Efforts at N reductions are increasingly successful but evaluating ecosystem response trajectories is difficult because of a lack of knowledge of historic conditions. To document continental-scale coastal food web N-dynamics prior to large increases in human N-loads, we sampled 208 fish from an archival collection, taken from coastal waters across the continental U.S., with a median collection year of 1904. The archival fish were compared with 526 samples collected in 2015 from 126 estuaries also along the U.S. coastline. We used stable isotopes of N (δN) and carbon (δC) as a proxy for human inputs and organic matter sources. Watershed attributes from 1910 and 2012, census data, fish life histories, and basic estuarine geography were used to develop random forest models that determined which variables were the best predictors of isotope values. State, latitude, and fish trophic level were consistently the most important predictors, while human impacts played a lesser role. When the fish were collected (~1914 vs 2015) was not an important predictor, rather the fish was collected was the best predictor of N source. The model results illustrate the important role that geography plays in coastal food web dynamics and underscore the importance of offshore N-sources to coastal food webs.
自20世纪40年代以来,人为氮(N)输入量不断增加,已在全球氮循环中占据主导地位,在河流系统中尤为如此。这种富营养化对下游河口的负面影响已有充分记录。减少氮排放的努力越来越成功,但由于缺乏历史状况的相关知识,评估生态系统的响应轨迹很困难。为了记录在人类氮负荷大幅增加之前大陆尺度沿海食物网的氮动态,我们从一个档案样本中选取了208条鱼,这些鱼取自美国大陆沿海水域,样本采集年份的中位数为1904年。将这些档案鱼样本与2015年从美国海岸线沿线126个河口采集的526个样本进行比较。我们使用氮(δN)和碳(δC)的稳定同位素作为人类输入和有机物质来源的指标。利用1910年和2012年的流域属性、人口普查数据、鱼类生活史以及基本的河口地理信息,建立随机森林模型,以确定哪些变量是同位素值的最佳预测指标。州、纬度和鱼类营养级一直是最重要的预测指标,而人类影响的作用较小。鱼的采集时间(约1914年与2015年)并非重要的预测指标,鱼的采集地点才是氮源的最佳预测指标。模型结果说明了地理因素在沿海食物网动态中所起的重要作用,并强调了近海氮源对沿海食物网的重要性。