Data from: The Crowded Sea: Incorporating Multiple Marine Activities in Conservation Plans can Significantly Alter Spatial Priorities

These data sets present the data in shapefile format underlying figures in: Mazor T, Possingham H.P., Edelist D, Brokovich E, Kark, S (2014) The Crowded Sea: Incorporating Multiple Marine Activities in Conservation Plans can Significantly Alter Spatial Priorities. PLOS ONE.

All these data are provided in shapefile format using the Israel_TM_Grid.

Species Richness (Fig. 2) - This data presents the number of biodiversity features present in 1 x 1 km grid units (planning units) covering the territorial waters of Israel's Mediterranean Sea. These include 166 biodiversity features - (153 fishes, 2 turtles, 1 cetacean), and 10 geomorphologic features (Fig. 2a; see Table S1 for a list of species and features included in this study).

Commercial fishing effort (Fig.2) - These data present the commercial fishing effort of 4 major fishing gear types (trawlers, longliners, purse seiners, entangling nets) used in Israle's mediterranean territorial waters within 1 x 1km planning units. These data present both biomass (ton) and cost (US$) - found in attributes table.

Selection Frequency Conservation Zone (Fig.4) - These data show the percentage of times (column "perc" from the attributes table), each 1km2 planning unit was selected to be in a conservation zone (no-take zone) by Marxan when run 1000 times. These present data for each planning sceario; Simple Planning, Basic Zoning, Intermediate Zoning and Complex Zoning. 

Best Solutions (Fig. 5) - These data show the best solutions in Marxan when run 1000 times. This solutions presents the lowest score (meets tagets for the lowest cost). From the attributes table - each number depicts a zone. These present data for each planning sceario; Simple Planning, Basic Zoning, Intermediate Zoning and Complex Zoning.

Selection Frequency of Economic, Benthic Protection and Exploration Zone (Fig.6) - These data show the percentage of times (column "perc" from the attributes table), each 1km2 planning unit was selected to be in a particular zone by Marxan when run 1000 times. These present data for each planning sceario; Basic Zoning, Intermediate Zoning and Complex Zoning.

本数据集以形状文件（shapefile）格式提供，对应发表于以下学术论文：Mazor T、Possingham H.P.、Edelist D、Brokovich E、Kark S（2014）《拥挤的海域：将多种海洋活动纳入保护规划可显著改变空间优先级》，刊载于《公共科学图书馆·综合》（PLOS ONE）。

所有数据均采用以色列横轴墨卡托网格（Israel_TM_Grid）的形状文件格式存储。

物种丰富度（图2）：该数据集展示了覆盖以色列地中海领海的1×1千米网格单元（规划单元）内的生物多样性特征数量。本次研究共包含166项生物多样性特征——其中153种鱼类、2种海龟、1种鲸类，以及10项地貌特征（见图2a；研究涉及的物种与特征列表详见附表S1）。

商业捕捞努力量（图2）：该数据集展示了以色列地中海领海范围内1×1千米规划单元内，4类主要捕捞渔具（拖网渔船、延绳钓渔船、围网渔船、定置刺网）的商业捕捞努力量。数据属性表中同时包含生物量（单位：吨）与作业成本（单位：美元）两项指标。

保护区域选择频率（图4）：该数据集展示了在1000次运行马克思安（Marxan，空间保护规划软件）模型后，每个1平方千米规划单元被选为禁捕保护区（no-take zone）的次数占比（数据属性表中的"perc"字段）。本次数据集涵盖4种规划情景：简单规划、基础分区、中级分区与复杂分区。

最优解决方案（图5）：该数据集展示了1000次运行马克思安模型后得到的最优规划结果。此类结果指达成保护目标且成本最低的方案，数据属性表中的每个数字对应一个分区类型。本次数据集涵盖4种规划情景：简单规划、基础分区、中级分区与复杂分区。

经济区、底栖生物保护区与勘探区选择频率（图6）：该数据集展示了在1000次运行马克思安模型后，每个1平方千米规划单元被选为特定功能分区的次数占比（数据属性表中的"perc"字段）。本次数据集涵盖3种规划情景：基础分区、中级分区与复杂分区。