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Adapting an Ecological Mangrove Model to Simulate Trajectories in Restoration Ecology

机译:适应生态红树林模型以模拟恢复生态学中的轨迹

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We used an ecological model to simulate the trajectories of mangrove attributes according to different restoration criteria at geographically specific conditions and at decadal time scales. This model can contribute to the design and implementation of restoration projects, and also be used to verify key mechanisms controlling ecosystem attributes during the recovery period. An existing gap model of mangrove wetlands, FORMAN, was used to simulate restoration trajectories in one of the largest estuary rehabilitation projects (128 000 ha) in South America, Cienaga Grande de Santa Marta, Colombia (CGSM). Recovery of a disturbed mangrove forest based on simulations of basal area following reductions of salinity to 40 g/kg within 2 yr or 10 yr time periods suggests that in both cases dominance would reach about 75% of that in the reference site (80 m~2/ha) in 40 yr. Both forests are > 80% dominated by Avicennia, and Laguncularia has greater basal area than Rhizophora in the remaining structure. Simulations of forest recovery with a 25 yr target for salinity reduction show that only about 50% of the basal area in the reference site is recovered after 40 yr. After 40 yr of recovery, both the 2 and 10 yr salinity targets produce higher basal area and different patterns of community composition (Laguncularia becomes the dominant species) under enhanced recruitment (planting program) than observed under more natural recruitment. Ecological models can be used to establish trajectories of mangrove response to a variety of initial site conditions at spatially explicit locations that can improve engineering designs, project operation, and more clearly define monitoring programs and natural resource valuation. Modelling techniques can be used to identify the appropriate spatial and temporal scales of problems associated with mangrove restoration projects that could improve our ability to conserve and manage one of the most valuable forested wetlands in the tropical coastal zone.
机译:我们使用了一种生态模型,根据地理条件和年代际尺度上不同的恢复标准,模拟了红树林的运动轨迹。该模型可有助于恢复项目的设计和实施,也可用于验证恢复期间控制生态系统属性的关键机制。在南美最大的河口修复项目之一(128 000公顷)中,哥伦比亚的圣玛利亚大圣玛尔塔(CGSM),使用了现有的红树林湿地差距模型FORMAN来模拟恢复轨迹。在2年或10年内将盐度降低至40 g / kg之后,根据基础面积的模拟恢复受干扰的红树林,这两种情况下的优势都将达到参考地点(80 m〜 2 / ha)40年。两种森林均以Avicennia为主,> 80%,在其余结构中,Laguncularia具有比根瘤菌更大的基础面积。以25年减少盐度为目标的森林恢复模拟结果表明,40年后,仅恢复了参考点约50%的基础面积。在恢复40年之后,与在更自然的补充条件下观察到的情况相比,在增加的补充条件下(种植计划),2年和10年的盐度目标均产生更高的基础面积和不同的群落组成模式(Laguncularia成为优势种)。生态模型可用于在空间明确的位置建立红树林对各种初始工地条件的响应轨迹,从而改善工程设计,项目运营,并更清晰地定义监控程序和自然资源评估。建模技术可用于确定与红树林恢复项目有关的问题的适当时空尺度,这些问题可能会提高我们保护和管理热带沿海地区最有价值的森林湿地之一的能力。

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