Biology Department, Lafayette College, Kunkel Hall, Easton, PA, 18042, U.S.A.
Environmental Science & Studies Program, Lafayette College, Pardee Hall, Easton, PA, 18042, U.S.A.
Conserv Biol. 2020 Dec;34(6):1560-1570. doi: 10.1111/cobi.13504. Epub 2020 Sep 10.
We devised a practical method for integrating information on 2 marine invasive species using 3 different approaches: standardized ecological monitoring, online-reporting databases, and surveys of anglers and crabbers. Focusing on 2 recently introduced species with different characteristics, the Asian shore crab (Hemigrapsus sanguineus) and Chinese mitten crab (Eriocheir sinensis), in the Hudson-Raritan watershed of New York and New Jersey, we used sensitivity analyses to explore the relative contribution of each information source to knowledge of species abundance and distribution. All 3 information sources contributed something unique to understanding abundance and distribution of the introduced crabs. Online and survey data on Asian shore crabs significantly affected predictions of abundance, whereas monitoring data did not. When survey data were omitted, abundance estimates were unchanged over time, but when they were included, the model predicted an increased abundance in 2012. All 3 data sets for the Asian shore crab significantly affected estimates of species coverage; surveys had the biggest influence, increasing range size by 4097.25 km . For the catadromous Chinese mitten crab, ecological monitoring data collected in freshwater shortly after the original sighting significantly shaped model estimates for abundance and documented the establishment phase of the mitten crab in an area outside the spatial scope of the surveyed resource users. However, the survey data significantly enlarged mitten crab range-size estimates by 6498.01 km . By demonstrating that data integration produced an image of the invasion process that would not have emerged had we used any 1 method individually, model results provide evidence for the advantages of an interdisciplinary approach.
我们设计了一种实用的方法，通过三种不同的方法整合关于两种海洋入侵物种的信息：标准化生态监测、在线报告数据库以及对垂钓者和捕蟹者的调查。本研究以两种最近引入的、特征不同的物种为重点，即亚洲滨蟹（Hemigrapsus sanguineus）和中华绒螯蟹（Eriocheir sinensis），它们分布于纽约和新泽西的哈德逊-拉什顿流域。我们使用敏感性分析来探讨每种信息源对物种丰度和分布的相对贡献。这三种信息源都为了解引入蟹类的丰度和分布提供了独特的信息。关于亚洲滨蟹的在线和调查数据对丰度预测有显著影响，而监测数据则没有。当排除调查数据时，丰度估计随时间保持不变，但当包括调查数据时，模型预测 2012 年的丰度会增加。亚洲滨蟹的所有三种数据集都显著影响了物种覆盖范围的估计；调查数据的影响最大，使范围大小增加了 4097.25 公里。对于溯河洄游的中华绒螯蟹，在最初发现后不久在淡水收集的生态监测数据显著影响了丰度的模型估计，并记录了中华绒螯蟹在调查资源使用者的空间范围之外的区域的建立阶段。然而，调查数据使中华绒螯蟹的范围大小估计显著增加了 6498.01 公里。通过证明数据集成产生的入侵过程图像，如果我们单独使用任何一种方法都不会出现，模型结果为跨学科方法的优势提供了证据。
