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Open Data requirements for applied ecology and conservation: case study of a wide-ranging marine vertebrate

机译：应用生态学和保护的开放数据要求：广泛的海洋脊椎动物的案例研究

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Wide-ranging animals often traverse more than one country, making it important to establish international management co-operations and agreed protocols; however, accessing all available information on a given species, or even a population of interest, compiled by local, national and international organisations, is often complicated. In the case of sea turtles, this issue is further compounded because different life stages of the same population occupy different types of habitat; even as adults, while part of the population aggregates to breed at a single site in a given year, all other adult individuals are dispersed across foraging habitats up to 1000 km or more in distance. Information on the number of individuals, movement patterns and habitat use are needed to: (1) identify, select and conserve key breeding, foraging and developmental habitat effectively, (2) develop realistic models to predict current and future threat status of animals as accurately as possible, and (3) mitigate pressures operating in distant areas that, otherwise, might not be detected or linked to the population of interest. Here, I use sea turtles as a case study to show how our current knowledge on wide-ranging marine species is currently incomplete and, in many cases, disjointed. In particular, different techniques are often used to assimilate different types of information in different settings for different purposes (e.g. mark-recapture, genetics, strandings and nesting data). Ultimately, opening access to these data sources would facilitate major advances in research, as well as the transfer of knowledge and information to practitioners, allowing the effective implementation of conservation management.
机译：范围广泛的动物通常穿越一个以上的国家，因此建立国际管理合作关系和商定的协议很重要;但是，要获取由本地，国家和国际组织汇编的有关给定物种甚至感兴趣种群的所有可用信息通常很复杂。就海龟而言，由于同一种群的不同生命阶段占据不同类型的栖息地，这一问题更加复杂。即使是成年人，虽然一部分人口在特定年份聚集在一起在一个地点繁殖，但所有其他成年人都分散在觅食栖息地中，最远距离为1000公里。需要有关个体数量，运动方式和栖息地使用的信息，以：（1）有效地识别，选择和保存关键的繁殖，觅食和发育栖息地;（2）建立现实模型以准确预测动物当前和将来的威胁状态（3）减轻在遥远地区运行的压力，否则这些压力可能不会被发现或与关注人群相关联。在这里，我以海龟为案例研究，以说明我们目前对广泛的海洋物种的了解目前是不完整的，而且在许多情况下是脱节的。尤其是，通常会使用不同的技术来出于不同的目的在不同的环境中吸收不同类型的信息（例如，标记重新捕获，遗传学，搁浅和嵌套数据）。最终，对这些数据源的开放访问将促进研究的重大进展，以及将知识和信息转移给从业者，从而有效实施保护管理。

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