Modeling Lacustrine Habitat in Response to Changes in Stage to Support Water Resources Management

AWRA GIS & Water Resources X: Spatial Analysis of Watersheds: Ecological, Hydrological and Societal Responses
April 22 – 25, 2018
Abstract Title: Modeling lacustrine habitat in response to changes in stage to support water resources management (Poster)
Presenter: Sandra Fox, SJRWMD
Co-Authors: Andrew Sutherland, Sherry Brandt-Williams, Joanne Chamberlain, SJRWMD.

Abstract: The “hydroperiod tool” (HT) was created about 15 years ago to predict the success of wetland restoration in the Kissimmee River for the South Florida Water Management District (SFWMD). The foundations of the HT are the geospatial processing power of ArcGIS combined with stage and elevation data. Output from the HT can be used to create metrics that relate to the depth, areal coverage and seasonality of wetland inundation – useful for understanding historical patterns of inundation and for comparing various management scenarios. Changes in ponded depth are of concern when monitoring the effects of water management decisions on lakes as well, on habitat for vegetation, birds, fish and the like. Known depth ranges for a variety of habitats were modeled over a range of stage values for two lakes in northeast Florida using recent (2012) LiDAR-derived Digital Elevation Models (DEMs). The DEMs were acquired during very low stage conditions, providing excellent representation of terrain. Deep spots in the lakes (inundated during LiDAR acquisition) were filled in the DEM using bathymetry soundings. Habitats modeled: forage fish (1 to 2 ft depth); game fish spawning (2 to 3 ft depth); emergent marsh (to 6 ft depth); large wading birds (to 1 ft depth); small wading birds (to 0.5 ft depth); sandhill crane nesting (0.5 to 1 ft depth); and bass habitat (1 to 4 ft depth). The results from this study can be used to identify lake levels goals for management.

Presentation at 2018 AWRA Spring Specialty Conference: Geographic Information Systems (GIS) and Water Resources X, Orlando, Florida, April 23-25, http://awra.org/meetings/Orlando2018/

AWRA GIS 与水资源 X：流域空间分析：生态、水文与社会响应

2018年4月22日至25日

摘要标题：针对水位变化模拟湖泊生境以支持水资源管理（海报）

演讲者：Sandra Fox，SJRWMD

合著者：Andrew Sutherland，Sherry Brandt-Williams，Joanne Chamberlain，SJRWMD。

摘要：约15年前，为了预测南佛罗里达州水资源管理区（SFWMD）基西米河湿地恢复的成功，创建了‘水文周期工具’（HT）。该工具的基石是 ArcGIS 的地理空间处理能力与水位和海拔数据的结合。HT 的输出可用于创建与湿地淹没的深度、面积覆盖和季节性相关的指标——这对于理解历史淹没模式以及比较不同的管理方案至关重要。在监测水资源管理决策对湖泊、植被、鸟类、鱼类等生境的影响时，池塘水深的变化亦值得关注。利用最近（2012年）激光雷达生成的数字高程模型（DEM）对佛罗里达州东北部两个湖泊在不同水位值下各种生境的已知水深范围进行了模拟。在非常低的水位条件下获取的 DEM 提供了对地形的优秀表征。湖泊中的深水区域（在激光雷达获取期间被淹没）使用测深数据进行了填充。模拟的生境包括：饵鱼（水深1至2英尺）；竞技鱼产卵（水深2至3英尺）；挺水植被（水深至6英尺）；大型涉禽（水深至1英尺）；小型涉禽（水深至0.5英尺）；沙丘鹤筑巢（水深0.5至1英尺）；以及鲈鱼生境（水深1至4英尺）。本研究的结果可用于确定管理目标的水位。

2018年AWRA春季专题会议上的演示：地理信息系统（GIS）与水资源 X，佛罗里达州奥兰多，4月23日至25日，http://awra.org/meetings/Orlando2018/