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smartR: An r package for spatial modelling of fisheries and scenario simulation of management strategies
Methods in Ecology and Evolution ( IF 6.6 ) Pub Date : 2020-04-18 , DOI: 10.1111/2041-210x.13394
Lorenzo D'Andrea 1 , Antonio Parisi 2 , Fabio Fiorentino 3 , Germana Garofalo 3 , Michele Gristina 4 , Stefano Cataudella 1 , Tommaso Russo 1
Affiliation  

  1. Overfishing or exploitation patterns with high juvenile mortalities often negatively impact demersal fish stocks. Meanwhile, the increased availability and diffusion of georeferenced information is propelling a revolution of marine spatial planning.
  2. A spatial‐explicit approach to the management of fishing effort should protect the Essential Fish Habitats and minimize the impact of trawlers on areas where juveniles of commercial species concentrate.
  3. The smartR package is a data‐driven model that implements the Spatially explicit bio‐economic Model for Assessing and managing demeRsal Trawl fisheries to edit and format the raw data; construct and maintain coherent datasets; to numerically and visually inspect the generated metadata; to simulate management scenarios and forecast the possible effects in terms of resources status and economic performances of the fleets.
  4. Explicit inclusion of the spatial dimension is essential to improve the understanding of the fishery system, and to enhance the ability of management plans to improve stocks statuses.


中文翻译:

smartR:用于渔业空间建模和管理策略情景模拟的r包

  1. 幼鱼死亡率高的过度捕捞或剥削方式经常会对沉鱼种群造成不利影响。同时,地理参考信息的可用性和传播性的增加正在推动海洋空间规划的一场革命。
  2. 对捕捞活动进行空间明确管理的方法应保护基本的鱼类栖息地,并最大程度地减少拖网渔船对商业鱼类幼鱼集中地区的影响。
  3. 智能[R包是一个数据驱动的模式,实现了空间直观生物经济模型评估和管理底层拖网渔业对编辑和格式化的原始数据; 建立和维护一致的数据集;从数字和视觉上检查生成的元数据;模拟管理方案并预测车队的资源状况和经济绩效可能带来的影响。
  4. 明确纳入空间维度对于增进对渔业系统的了解,并增强管理计划改善种群状况的能力至关重要。
更新日期:2020-04-18
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