Malone Daniel P, Davis Kathryn, Lonhart Steve I, Parsons-Field Avrey, Caselle Jennifer E, Carr Mark H
Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, Santa Cruz, California, USA.
Marine Science Institute, University of California, Santa Barbara, Santa Barbara, California, USA.
Ecology. 2022 May;103(5):e3630. doi: 10.1002/ecy.3630. Epub 2022 Apr 3.
Kelp forests are among the most productive ecosystems on Earth. In combination with their close proximity to the shore, the productivity and biodiversity of these ecosystems generate a wide range of ecosystem services including supporting (e.g., primary production, habitat), regulating (e.g., water flow, coastal erosion), provisioning (e.g., commercial and recreational fisheries), and cultural (e.g., recreational, artisanal) services. For these reasons, kelp forests have long been the target of ecological studies. However, with few exceptions, these studies have been localized and short term (<5 years). In 1999, recognizing the importance of large-scale, long-term studies for understanding the structure, functioning, and dynamics of coastal marine ecosystems, and for informing policy, the Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO) designed and initiated a large-scale, long-term monitoring study of kelp forest ecosystems along 1400 km of coast stretching from southern California to southern Oregon, USA. The purpose of the study has been to characterize the spatial and temporal patterns of kelp forest ecosystem structure and evaluate the relative contributions of biological and environmental variables derived from external sources (e.g., sea otter density, Chl-a concentration, sea surface temperature, wave energy) in explaining observed spatial and temporal patterns. For this purpose, the ecological community (i.e., density, percent cover, or biomass of conspicuous fishes, invertebrates, and macroalgae) and geomorphological attributes (bottom depth, substratum type, and vertical relief) of kelp forest ecosystems have been surveyed annually using SCUBA divers trained in both scientific diving and data collection techniques and the identification of kelp forest species. The study region spans distinct ecological and biogeographic provinces, which enables investigations of how variation in environmental drivers and distinctive species compositions influence community structure, and its response to climate-related environmental change across a portion of the California Current Large Marine Ecosystem. These data have been used to inform fisheries management, design and evaluate California's state-wide network of marine protected areas (MPAs), and assess the ecological consequences of climate change (e.g., marine heatwaves). Over time, the spatial and temporal design of the monitoring program was adapted to fill its role in evaluating the ecological responses to the establishment of MPAs. There are no copyright restrictions; please cite this paper when data are used.
海带森林是地球上生产力最高的生态系统之一。由于它们紧邻海岸,这些生态系统的生产力和生物多样性产生了广泛的生态系统服务,包括支持性服务(如初级生产、栖息地)、调节性服务(如水流、海岸侵蚀)、供给性服务(如商业和休闲渔业)以及文化性服务(如休闲、手工制作)。基于这些原因,海带森林长期以来一直是生态学研究的目标。然而,除了少数例外,这些研究都是局部性的且为期较短(<5年)。1999年,海岸海洋跨学科研究伙伴关系(PISCO)认识到大规模、长期研究对于理解沿海海洋生态系统的结构、功能和动态以及为政策提供信息的重要性,设计并启动了一项对海带森林生态系统的大规模、长期监测研究,该研究沿着从美国加利福尼亚州南部到俄勒冈州南部绵延1400公里的海岸进行。该研究的目的是描述海带森林生态系统结构的时空模式,并评估来自外部来源的生物和环境变量(如海獭密度、叶绿素a浓度、海表面温度、波浪能量)在解释观测到的时空模式方面的相对贡献。为此,每年都使用经过科学潜水和数据收集技术培训以及能够识别海带森林物种的水肺潜水员,对海带森林生态系统的生态群落(即显眼鱼类、无脊椎动物和大型藻类的密度、覆盖百分比或生物量)和地貌属性(海底深度、基质类型和垂直起伏)进行调查。研究区域跨越不同的生态和生物地理省份,这使得能够研究环境驱动因素的变化和独特的物种组成如何影响群落结构,以及其对加利福尼亚洋流大型海洋生态系统一部分地区与气候相关的环境变化的响应。这些数据已被用于为渔业管理提供信息、设计和评估加利福尼亚州全州范围的海洋保护区(MPA)网络,以及评估气候变化的生态后果(如海洋热浪)。随着时间的推移,监测计划的时空设计不断调整,以发挥其在评估对海洋保护区建立的生态响应方面的作用。无版权限制;使用数据时请引用本文。