Frequent disturbance to a foundation species disrupts consumer-mediated nutrient cycling in giant kelp forests

IF 4.3 2区 环境科学与生态学 Q1 ECOLOGY
Ecology Pub Date : 2025-03-11 DOI:10.1002/ecy.70019
Joseph R. Peters, Daniel C. Reed, June Shrestha, Scott L. Hamilton, Deron E. Burkepile
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引用次数: 0

Abstract

Structure-forming foundation species facilitate consumers by providing habitat and refugia. In return, consumers can benefit foundation species by reducing top-down pressures and increasing the supply of nutrients. Consumer-mediated nutrient dynamics (CND) fuel the growth of autotrophic foundation species and generate more habitat for consumers, forming reciprocal feedbacks. Such feedbacks are threatened when foundation species are lost to disturbances, yet testing these interactions requires long-term studies, which are rare. Here, we experimentally evaluated how disturbance to giant kelp, a marine foundation species, affects (1) CND of the forest animal community and (2) nutrient feedbacks that help sustain forest primary production during extended periods of low nitrate. Our experiment involved removing giant kelp annually during the winter for 10 years at four sites to mimic frequent wave disturbance. We paired temporal changes in the forest community in kelp removal and control plots with estimates of taxon-specific ammonium excretion rates (reef fishes and macroinvertebrates) and nitrogen (N) demand (giant kelp and understory macroalgae) to determine the effects of disturbance on CND as measured by ammonium excretion, N demand by kelp forest macroalgae, and the percentage of nitrogen demand met by ammonium excretion. We found that disturbance to giant kelp decreased ammonium excretion by 66% over the study, mostly due to declines in fishes. Apart from a few fish species that dominated CND, most reef-associated consumers were unaffected by disturbance. Disturbance to giant kelp reduced its N demand by 56% but increased that of the understory by 147% due to its increased abundance in the absence of a kelp canopy. Overall, disturbance had little effect on the fraction of N demand of macroalgae met by consumer excretion due to the offsetting responses of giant kelp, understory macroalgae, and consumers to disturbance. Across both disturbance regimes, on average, consumers supported 11%–12% of the N required by all kelp forest macroalgae and 48% of N demand by the understory macroalgae (which are confined to the benthos where most reef-associated consumers reside). Our findings suggest that CND constitutes a considerable contribution of N required in kelp forests, yet nutrient inputs decrease following reductions in essential habitat perpetuated by frequent disturbances.

对基础物种的频繁干扰破坏了巨型海藻林中以消费者为媒介的营养循环
形成结构的基础物种通过提供栖息地和避难所为消费者提供便利。作为回报,消费者可以通过减少自上而下的压力和增加营养物质的供应而使基础物种受益。消费者介导的营养动态(CND)促进了自养基础物种的生长,并为消费者创造了更多的栖息地,形成了相互反馈。当基础物种因干扰而消失时,这种反馈就会受到威胁,然而测试这些相互作用需要长期的研究,而这是罕见的。在这里,我们通过实验评估了对海洋基础物种巨海带的干扰如何影响(1)森林动物群落的CND和(2)在长时间低硝酸盐条件下帮助维持森林初级生产的营养反馈。我们的实验涉及在10年的时间里,每年冬季在四个地点移除巨型海带,以模拟频繁的海浪干扰。我们将海带去除和控制样地的森林群落的时间变化与分类群特定的铵排泄率(礁鱼和大型无脊椎动物)和氮(N)需求(巨海带和林下大型藻类)进行配对,以确定干扰对CND的影响(通过测量铵排泄、海带森林大型藻类的氮需求和铵排泄满足的氮需求百分比)。我们发现,在研究过程中,对巨藻的干扰使铵的排泄量减少了66%,这主要是由于鱼类的减少。除了少数鱼类占主导地位外,大多数与珊瑚礁有关的消费者不受干扰影响。对巨藻的干扰使巨藻的N需求减少56%,而对林下的N需求增加147%,这是由于巨藻在没有林冠的情况下丰度增加所致。综上所述,由于巨海带、林下巨藻和消费者对干扰的抵消作用,干扰对巨藻排泄物满足的氮需求比例影响不大。在这两种干扰情况下,平均而言,消费者支持所有海带森林大藻类所需氮的11%-12%,以及林下大藻类所需氮的48%(这些大藻类局限于大多数珊瑚礁相关消费者居住的底栖动物)。我们的研究结果表明,CND构成了海带森林所需氮的相当大的贡献,然而,由于频繁的干扰,基本栖息地的减少使营养投入减少。
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来源期刊
Ecology
Ecology 环境科学-生态学
CiteScore
8.30
自引率
2.10%
发文量
332
审稿时长
3 months
期刊介绍: Ecology publishes articles that report on the basic elements of ecological research. Emphasis is placed on concise, clear articles documenting important ecological phenomena. The journal publishes a broad array of research that includes a rapidly expanding envelope of subject matter, techniques, approaches, and concepts: paleoecology through present-day phenomena; evolutionary, population, physiological, community, and ecosystem ecology, as well as biogeochemistry; inclusive of descriptive, comparative, experimental, mathematical, statistical, and interdisciplinary approaches.
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