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首页> 外文期刊>Tropical Conservation Science >Monitoring Young Tropical Forest Restoration Sites: How Much to Measure?
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Monitoring Young Tropical Forest Restoration Sites: How Much to Measure?

机译:监测年轻的热带森林恢复点:要衡量多少?

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摘要

Monitoring is a key step for achieving restoration success. Despite increasing advances for selecting ecological indicators, monitoring sampling designs are not always available. We investigated how tree richness and the most used forest structure indicators vary spatially in restoration sites, aiming to provide evidence-based guidance for future monitoring protocols. We collected data from eight forest restoration sites covering overall 1,000?ha in four Brazilian Atlantic Forest regions. Canopy cover, tree density, vegetation height, and species richness were assessed in 18.2?ha of plots ranging from 60 to 300?m2 in size, in restoration sites aged 1 to 5 years old. Using resampling techniques, we calculated the sampling error for the indicators and compared them with original sampling results, and then estimated the number of plots needed to reach a 20% sampling error. The ecological indicators assessed showed high variability among restoration sites. Canopy cover and height required less plots to reach the targeted sampling error than density of trees. The number of species does not stabilize even when more than 90% of the total number of plots was resampled, indicating high spatial variation. The use of the sampling error approach for defining how much to monitor, associated to appropriate sampling methods, could increase the reliability of monitoring. In addition, they will reduce operational costs, thus providing a key contribution to the effectiveness of large-scale restoration programs expected to be implemented globally in the coming years. Thus, we recommend the incorporation of this in the forest restoration monitoring protocols being discussed worldwide.
机译:监视是实现恢复成功的关键步骤。尽管在选择生态指标方面取得了越来越多的进步,但监测采样设计并非总是可用。我们调查了树木丰富度和最常用的森林结构指标在恢复地点如何随空间变化,旨在为未来的监测协议提供基于证据的指导。我们从巴西四个大西洋森林地区的八个森林恢复站点(总面积为1000公顷)中收集了数据。在1至5岁的恢复点中,在面积为60到300?m 2 的18.2公顷土地中评估了冠层的覆盖度,树木密度,植被高度和物种丰富度。使用重采样技术,我们计算了指标的采样误差,并将其与原始采样结果进行了比较,然后估计了达到20%采样误差所需的样地数量。评估的生态指标显示恢复地点之间存在很大差异。与树木的密度相比,树冠的覆盖度和高度需要更少的地块才能达到目标采样误差。即使重新采样总数超过90%的样地,物种的数量也不会稳定,这表明空间变化很大。使用抽样误差方法来定义要监视的数量以及适当的抽样方法,可以提高监视的可靠性。此外,它们将降低运营成本,从而为预计在未来几年在全球范围内实施的大规模恢复计划的有效性做出重要贡献。因此,我们建议将此方法纳入全世界正在讨论的森林恢复监测协议中。

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