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首页> 外文期刊>The Forestry Chronicle >Biophysical sustainability, process-based monitoring and forest ecosystem management decision support systems
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Biophysical sustainability, process-based monitoring and forest ecosystem management decision support systems

机译:生物物理可持续性,基于过程的监测和森林生态系统管理决策支持系统

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Sustainability is a key concept in resource management and environmental issues, but implementation is fraught with difficulty due to lack of agreement as to what it means. Because of the ubiquity of disturbance, ecosystem sustainability inevitably involves change. We define stand-level biophysical sustainability as non-declining patterns of change over at least three cycles of disturbance, and landscape-level sustainability as a shifting mosaic of non-declining stand change, the overall character of which remains within acceptable limits over time. Simple empirical assessment (i.e., monitoring) of this concept of sustainability is generally not practical in forestry because of the long time and large spatial scales involved. Adaptive management (AM), another key resource management concept, involves monitoring to assess the consequences of management actions. It requires forecasts of expected change in sustainably managed, post-disturbance ecosystems against which to assess monitoring data. Without these forecasts, which constitute temporal fingerprints of sustainable change, short-term monitoring data cannot be used reliably as a basis from which to assess longer-term sustainability. A comprehensive monitoring system to address biophysical sustainability locally and at the landscape scale for a large management unit over a rotation-length time scale would involve the key elements of ecosystem structure and function and the effects thereon of management and climate change. This would be prohibitively expensive and demanding of human resources and the results would not be available until the end of the rotation. A strategy that honours the intent of AM is an intimate linkage between predictive monitoring and process-based ecosystem management decision support systems--ecosystem process-based monitoring--the emphasis of which is on temporal patterns of indicator change rather than comparisons between static indicators and audits of current ecosystem conditions (the certification approach). It involves a combination of monitoring and ecosystem management modeling that reduces the long-term cost of monitoring and increases the utility of the data collected for the assessment of sustainability and for the design of policy and adaptive practice in forestry.
机译:可持续性是资源管理和环境问题中的关键概念,但是由于在含义上缺乏共识,因此实施过程非常困难。由于普遍存在干扰,生态系统的可持续性不可避免地涉及变化。我们将林分水平的生物物理可持续性定义为至少三个扰动周期内非下降的变化模式,而景观水平的可持续性定义为非下降的林分变化的变化镶嵌图,其总体特征随着时间的推移仍在可接受的范围内。对于这种可持续性概念的简单实证评估(即监测)在林业中通常不可行,因为它涉及的时间长且空间大。自适应管理(AM)是另一个关键的资源管理概念,它涉及监视以评估管理操作的后果。它需要对可持续管理的灾后生态系统的预期变化进行预测,并据以评估监测数据。没有这些构成可持续变化的时间指纹的预测,短期监测数据就不能可靠地用作评估长期可持续性的基础。一个全面的监测系统,以解决一个大型管理单位在轮换长度范围内本地和景观尺度上的生物物理可持续性问题,将涉及生态系统结构和功能的关键要素及其对管理和气候变化的影响。这将非常昂贵并且需要人力资源,并且结果要等到轮换结束时才能得到。符合增材制造意图的策略是预测监控与基于流程的生态系统管理决策支持系统(基于生态系统基于流程的监控)之间的紧密联系,其重点在于指标变化的时间模式,而不是静态指标之间的比较以及对当前生态系统状况的审核(认证方法)。它涉及到监测和生态系统管理模型的结合,从而降低了监测的长期成本,并提高了收集的数据在评估可持续性以及林业政策和适应性实践设计中的实用性。

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