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首页> 外文期刊>Fisheries Research >Geostatistical analysis and spatial modeling of population density for the sea cucumbers Isostichopus badionotus and Holothuria floridana on the Yucatan Peninsula, Mexico
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Geostatistical analysis and spatial modeling of population density for the sea cucumbers Isostichopus badionotus and Holothuria floridana on the Yucatan Peninsula, Mexico

机译：墨西哥尤卡坦半岛海参Isostichopus badionotus和Holothuria floridana的地统计学和种群密度空间模型

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摘要

Spatial distribution of Holothuria floridana and Isostichopus badionotus was examined at two sites off the coast of Yucatan: Isla Arena, Campeche, and Dzilam de Bravo, Yucatan, at different times using geostatistics. By means of ordinary kriging, inverse distance weighted and spatial simulation; seven models representing spatial distribution were produced and compared: three for H. floridana and four for I. badionotus. Spatial continuity of population density was calculated using an experimental variogram. Five types of models were tested (spherical, exponential, linear, linear to sill and Gaussian). Three statistics were obtained to aid in model output interpretation: the proportion of spatial structure, the regression coefficient, and the residual sums of squares for each variogram. Ordinary kriging produced the models with highest goodness-of-fit, indicating that population density was a regionalized variable, especially when populations are at unfished levels. H. floridana and I. badionotus displayed spatial patterns including patchiness, with some patches covering more than 60 km(2). Fishing changed the spatial structure or patchiness degree of population density. Spatial structure of virgin stocks was better explained using exponential models; whereas spherical models better represented spatial structure after fishing impacts. (C) 2015 Elsevier B.V. All rights reserved.
机译：使用地统计学方法，分别在尤卡坦海岸附近的两个地点（坎佩切州的Isla Arena和尤卡坦的Dzilam de Bravo）检查了Holothuria floridana和Isostichopus badionotus的空间分布。通过普通克里格法，反距离加权和空间模拟;产生并比较了代表空间分布的七个模型：三个代表弗洛里达纳氏菌，四个代表巴迪翁特氏菌。使用实验变异函数计算人口密度的空间连续性。测试了五种类型的模型（球形，指数型，线性，基石线性和高斯模型）。获得了三个统计数据以帮助模型输出解释：每个变异函数的空间结构比例，回归系数和平方和的残差和。普通克里格模型产生的拟合优度最高，表明人口密度是一个区域性变量，尤其是当人口处于未捕捞水平时。 H. floridana和I. badionotus显示出包括斑驳的空间格局，有些斑块覆盖了60 km（2）以上。捕鱼改变了人口密度的空间结构或斑驳程度。使用指数模型可以更好地解释原始库存的空间结构。球形模型更好地表示了钓鱼后的空间结构。 （C）2015 Elsevier B.V.保留所有权利。

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