鱼的栖息地:鱼类栖息地和康复至关重要

适应性建模描述栖息地渔业的可持续发展的关键BOB国际体育

Peter j . Rubec珍妮弗·c·w·贝克斯利亨利诺里斯,迈克尔·s·科因马克·e·摩纳哥,史蒂文·g·史密斯和Jerald奥尔特

doi:https://doi.org/10.47886/9781888569124.ch10

Abstract. -存在一个需要科学地确定最优鱼栖息地支持管理决策至关重要的鱼类的栖息地。科学家合作进行生境适宜性指数(HSI)建模空间描绘鱼栖息地河口鱼类和无脊椎动物物种在坦帕湾和夏洛特港,佛罗里达。从青少年发现seatrout HSI模型结果Cynoscion nebulosus在夏洛特港。从1989 - 1997年的数据用fisheries-indepBOB国际体育endent监测两个河口环境数据从其他来源。标准化catch-per-unit-effort(捕获率)计算跨齿轮类型使用fisheries-monitoring数据从夏洛特港和坦帕湾。BOB国际体育适宜性指数函数确定使用三种方法:(1)发生的频率,(2)意味着捕捉率范围内,和(3)smooth-mean捕获率由多项式回归。意思是捕获率估计生物相关的范围内,有足够的数据,更好的间隔在环境梯度。适宜性指数函数在梯度被派生环境扩展捕获率。网格的栖息地层温度、盐度、深度、和底部类型在夏洛特港也创建了使用地理信息系统。栖息地适宜性指数模型是使用美国鱼类和野生动物服务进行几何平均法与ArcView空间分析模块。模型综合适宜性指数与夏洛特港的栖息地层创建一个少年的预测分布地图发现seatrout在秋季。使用适宜性指数为坦帕湾开发与夏洛特港层测试指标的转移到另一个栖息地河口。 Predicted HSI maps depicted low to optimum habitat suitability zones in Charlotte Harbor. Model performance was evaluated by statistically comparing the relative ranking of mean catch rates with mean suitability indices for corresponding zones. Suitability indices obtained using polynomial regression methods yielded morereliable HSI maps for juvenile spotted seatrout than those derived using mean catch rates within biologically relevant ranges. The observed map, derived using smooth-mean suitability indices transferred from Tampa Bay, was not significantly different (Chi-square goodness-of-fit test) from the expected map derived using smooth-mean indices from Charlotte Harbor. Our modeling efforts using transferred indices indicate that it is possible to predict the geographic distributions of fish species by life stage in estuaries lacking fisheries monitoring.