在终端湖系统中使用流量,地形学和海拔高度来建模鱼分布
Jacob C Dickey1, Benjamin J Clemens2, Michael J Dumelle3
1Oregon State University Department of Fisheries, Wildlife, and Conservation Sciences, Corvallis, Oregon 97331, USA.
概括
这项研究模拟了鱼在湖盆地的分布,确定了流量,斜率,曲度和高度作为关键因素. 对空间关系的考虑改善了对这些危鱼类的预测.
科学领域:
- 生态生态学 生态生态学
- 保护生物学 保护生物学
- 地理空间分析是什么
背景情况:
- 鱼在生态上至关重要,但研究不足的鱼类,几种物种面临灭绝危险.
- 在分布和息地存在关键数据缺口,特别是在干旱/半干旱的水生生态系统.
- 物种分布模型 (SDM) 对于保护至关重要,但可以受到空间自相关性和流网络中的规模不匹配的影响.
研究的目的:
- 检查影响湖盆地两个鱼物种在多个空间尺度上的分布的因素.
- 开发一个准确的,盆地范围的物种分布模型 (SDM) 对于危的鱼种群.
- 提高对生态关系的理解,并为本地鱼类的保护战略提供信息.
主要方法:
- 集成的鱼类存在缺失数据与公开可用的地理空间息地变量.
- 采用后勤回归模型和空间流网络 (SSN) 方法来考虑空间自相关性.
- 为了解决尺度不匹配问题,对斜率和曲度 (250-1000米) 和高度尺度 (地点和流域) 的多个样本粒进行了比较.
主要成果:
- 流量,斜率和斜率 (在1000米的谷物) 和流域规模的高度是鱼存在的重要预测因素.
- 非空间模型预测了曲,低梯度流中的存在.
- 包含空间依赖性的空间模型预测了已知存在点附近的连续高概率区域.
结论:
- 阐明了生态关系,并制作了一个准确的盆地范围的SDM.
- 对跨多个尺度的空间关系的计算改善了预测和推断.
- 开发对等级流生态系统的高效建模策略有助于保护本地鱼类,包括.
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