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Patterns and drivers of structure, diversity, and composition in species-rich shrublands restored after mining

机译:在采矿后,物种丰富的灌木丛中的结构,多样性和组成的模式和司机

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摘要

Long-term studies of vegetation recovery following post-mining restoration in low-productivity, high-stress areas are limited, but essential for understanding underlying ecological processes and evaluating management practices. This study's goal was to describe temporal patterns of recovery (up to 37 years) in vegetation structure, floristic diversity, and composition following post-mining restoration at two sites, and identify potential drivers of restoration outcomes, in the nutrient-poor, seasonally dry, species-rich, fire-prone kwongan vegetation of southwest Western Australia. Vegetation development is progressing and restoration measures are within range of native reference values, but there is large variation in both patterns observed and restoration outcomes. Several patterns described share similarities with post-fire recovery of kwongan, and post-disturbance recovery of other low-productivity, high-stress, fire-prone systems. However, differences in some patterns between sites indicate differences in the underlying mechanisms of recovery. Many management and environmental variables emerge as significant drivers of restoration outcomes but age, fire, and the planting of seedlings account for the largest amount of variation. Adaptive management at both sites appears to be facilitating improved restoration outcomes over time. Using a combination of space-for-time, plot level, and linear mixed effects modeling perspectives to examine patterns provides greater insights into restoration recovery than a chronosequence perspective alone. This study will inform restoration practices and outcomes not only in kwongan but in other comparable systems also.
机译:在低生产率下采矿后恢复后的植被恢复的长期研究,高应力地区是有限的,但对于理解潜在的生态过程和评估管理实践至关重要。本研究的目标是描述植被结构,植被多样性和组成的植被结构,植物多样性和组成的时间模式,并在两个地点恢复后,并识别营养较差,季节性干燥的潜在驱动因素,西南西南部的物种丰富,火灾易一代植被。植被开发正在进行,恢复措施在原生参考值范围内,但观察到和恢复结果的两种模式都有很大的变化。几种图案描述了与克威安后火灾后恢复的股票相似之处,以及其他低生产率,高应力,易发系统的扰动恢复。然而,网站之间的某些模式的差异表示差异恢复机制的差异。许多管理和环境变量随着恢复结果的重要驱动因素而出现,但幼苗的龄,火灾和种植占最大的变异量。两个站点的自适应管理似乎促进了随着时间的推移改善的恢复结果。使用空时空,绘图级别和线性混合效果建模的透视图,以检查模式的透视提供更大的洞察力,而不是单独的计时透视。本研究将以不仅在克国的恢复实践和成果提供信息,而是其他可比较的系统。

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  • 来源
    《Restoration ecology》 |2021年第6期|e13360.1-e13360.14|共14页
  • 作者单位

    Univ Western Australia Sch Biol Sci 35 Stirling Highway Perth WA 6009 Australia;

    Univ Western Australia Sch Biol Sci 35 Stirling Highway Perth WA 6009 Australia|Univ Western Australia Sch Agr & Environm 35 Stirling Highway Perth WA 6009 Australia;

    Univ Western Australia Sch Biol Sci 35 Stirling Highway Perth WA 6009 Australia|Iluka Resources 240 St Georges Terrace Perth WA 6000 Australia|Murdoch Univ Harry Butler Inst 90 South St Perth WA 6150 Australia;

    Univ Western Australia Sch Biol Sci 35 Stirling Highway Perth WA 6009 Australia|Univ Western Australia Sch Agr & Environm 35 Stirling Highway Perth WA 6009 Australia;

    Univ Western Australia Sch Biol Sci 35 Stirling Highway Perth WA 6009 Australia|Murdoch Univ Harry Butler Inst 90 South St Perth WA 6150 Australia|Stellenbosch Univ Dept Geog & Environm Sci Private Bag X1 ZA-7602 Stellenbosch South Africa;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    environmental variables; fire; kwongan; management practices; Mediterranean#8208; type ecosystem; restoration; space#8208; for#8208; time; vegetation; Western Australia;

    机译:环境变量;火灾;kwongan;管理实践;地中海‐类型生态系统;恢复;空间‐‐时间;植被;西澳大利亚;

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