Data from: Managing seagrass resilience under cumulative dredging affecting light: predicting risk using dynamic Bayesian networks

Coastal development is contributing to ongoing declines of ecosystems globally. Consequently, understanding the risks posed to these systems, and how they respond to successive disturbances, is paramount for their improved management. We present a risk-based modelling framework for time varying complex systems centred around a dynamic Bayesian network (DBN). The impact on resilience of dredging disturbances is evaluated using a validated seagrass ecosystem DBN for meadows of the genera Amphibolis (Jurien Bay, WA, Australia), Halophila (Hay Point, Qld, Australia) and Zostera (Gladstone, Qld, Australia).

Data supports the following publication:

Wu PP, McMahon K, Rasheed MA, Kendrick GA, York PH, Chartrand K, Caley MJ, Mengersen K. (2017) Managing seagrass resilience under cumulative dredging affecting light: predicting risk using dynamic Bayesian networks. Journal of Applied Ecology, online in advance of print. https://doi.org/10.1111/1365-2664.13037

Data includes: Validation data used to validate the DBN model for Amphibolis in Jurien Bay, Halophila at Hay Point, and Zostera at Gladstone (supporting information S4 through S6, respectively).

Lateral Growth from Existing Individuals

Physiological Status of Plants

Rate of Recovery in Shoot Density

Recruitment Rate from Seeds

Seed Density

The datasets were submitted to Dryad Digital Repository 29 November 2017.

海岸带开发正导致全球生态系统的持续退化。因此，理解这些系统所面临的风险以及它们如何对连续的干扰作出反应，对于其管理水平的提升至关重要。本研究提出了一种基于风险的建模框架，适用于时变复杂系统，其核心为动态贝叶斯网络（DBN）。通过验证的贝类生态系统DBN，评估了疏浚干扰对以下地区（澳大利亚西澳州的Jurien Bay的Amphibolis草地、昆士兰州Hay Point的Halophila草地以及昆士兰州Gladstone的Zostera草地）生态系统弹性的影响。

数据支持以下出版物：

Wu PP, McMahon K, Rasheed MA, Kendrick GA, York PH, Chartrand K, Caley MJ, Mengersen K. (2017) 在累积疏浚影响光照的情况下管理海草生态系统的弹性：利用动态贝叶斯网络预测风险。应用生态学杂志，在线预印本。https://doi.org/10.1111/1365-2664.13037

数据包括：用于验证Jurien Bay的Amphibolis、Hay Point的Halophila以及Gladstone的Zostera的DBN模型的验证数据（分别对应支持信息S4至S6）。

现有个体的横向生长
植物生理状况
枝条密度恢复速率
种子繁殖率
种子密度
该数据集于2017年11月29日提交至Dryad数字仓库。