Lee Henry, Reusser Deborah A, Olden Julian D, Smith Scott S, Graham Jim, Burkett Virginia, Dukes Jeffrey S, Piorkowski Robert J, McPhedran John
Western Ecology Division, National Health and Environmental Effects Research Laboratory, Office of Research and Development, U.S. Environmental Protection Agency, 2111 SE Marine Science Drive, Newport, OR 97365, USA.
Conserv Biol. 2008 Jun;22(3):575-84. doi: 10.1111/j.1523-1739.2008.00955.x.
Changes in temperature, precipitation, and other climatic drivers and sea-level rise will affect populations of existing native and non-native aquatic species and the vulnerability of aquatic environments to new invasions. Monitoring surveys provide the foundation for assessing the combined effects of climate change and invasions by providing baseline biotic and environmental conditions, although the utility of a survey depends on whether the results are quantitative or qualitative, and other design considerations. The results from a variety of monitoring programs in the United States are available in integrated biological information systems, although many include only non-native species, not native species. Besides including natives, we suggest these systems could be improved through the development of standardized methods that capture habitat and physiological requirements and link regional and national biological databases into distributed Web portals that allow drawing information from multiple sources. Combining the outputs from these biological information systems with environmental data would allow the development of ecological-niche models that predict the potential distribution or abundance of native and non-native species on the basis of current environmental conditions. Environmental projections from climate models can be used in these niche models to project changes in species distributions or abundances under altered climatic conditions and to identify potential high-risk invaders. There are, however, a number of challenges, such as uncertainties associated with projections from climate and niche models and difficulty in integrating data with different temporal and spatial granularity. Even with these uncertainties, integration of biological and environmental information systems, niche models, and climate projections would improve management of aquatic ecosystems under the dual threats of biotic invasions and climate change.
温度、降水和其他气候驱动因素的变化以及海平面上升,将影响现有本地和非本地水生物种的数量,以及水生环境遭受新入侵的脆弱性。监测调查通过提供基线生物和环境条件,为评估气候变化和入侵的综合影响奠定了基础,不过一项调查的效用取决于结果是定量的还是定性的,以及其他设计考量因素。美国各种监测项目的结果可在综合生物信息系统中获取,尽管许多系统仅包含非本地物种,而非本地物种。除了纳入本地物种外,我们建议可通过开发标准化方法来改进这些系统,这些方法能获取栖息地和生理需求,并将区域和国家生物数据库链接到分布式网络门户,从而允许从多个来源提取信息。将这些生物信息系统的输出与环境数据相结合,将有助于开发生态位模型,该模型可根据当前环境条件预测本地和非本地物种的潜在分布或丰度。气候模型的环境预测可用于这些生态位模型,以预测在气候条件改变下物种分布或丰度的变化,并识别潜在的高风险入侵者。然而,存在一些挑战,比如与气候和生态位模型预测相关的不确定性,以及难以整合具有不同时间和空间粒度的数据。即便存在这些不确定性,生物和环境信息系统、生态位模型以及气候预测的整合,仍将改善在生物入侵和气候变化双重威胁下的水生生态系统管理。