Schnell Sebastian, Kleinn Christoph, Ståhl Göran
Department of Forest Resource Management, Swedish University of Agricultural Sciences, Skogsmarksgränd, 90183, Umeå, Sweden,
Environ Monit Assess. 2015 Sep;187(9):600. doi: 10.1007/s10661-015-4817-7. Epub 2015 Aug 29.
Trees outside forests (TOFs) are an important natural resource that contributes substantially to national biomass and carbon stocks and to the livelihood of people in many regions. Over the last decades, decision makers have become increasingly aware of the importance of TOF, and as a consequence, this tree resource is nowadays often considered in forest monitoring systems. Our review shows that in many cases, TOF are included in national forest inventories, applying traditional methodologies with relatively sparse networks of field sample plots. Only in some countries, such as India, the design of the inventories has considered the special features of how TOFs occur in the landscape. Several research studies utilising remote sensing for monitoring TOF have been conducted lately, but very few studies include comparative studies to optimise sampling strategies for TOF. Our review indicates that methods combining remote sensing and field surveys appear to be very promising, especially when remote sensing techniques that assess both the horizontal and vertical structures of tree resources are applied. For example, two-phase sampling strategies with laser scanning in the first phase and a field survey in the second phase appear to be effective for assessing TOF resources. However, TOFs often exhibit different characteristics than forest trees. Thus, to improve TOF monitoring, there is often a need to develop models, e.g. for biomass assessment, that are specifically adapted to this tree resource. Alternatively, field-based remote sensing methods that provide structural information about individual trees, notably terrestrial laser scanning, could be further developed for TOF monitoring applications. This also would have a potential to reduce the problem of accessing TOF during field surveys, which is a problem, for example, in countries where TOF are present on intensively utilised private grounds like gardens and agricultural fields.
森林外树木(TOFs)是一种重要的自然资源,对国家生物量和碳储量以及许多地区人们的生计做出了重大贡献。在过去几十年中,决策者越来越意识到森林外树木的重要性,因此,如今这种树木资源在森林监测系统中经常被考虑在内。我们的综述表明,在许多情况下,森林外树木被纳入国家森林清查,采用的是传统方法,野外样本地块网络相对稀疏。只有在一些国家,如印度,清查设计考虑了森林外树木在景观中出现的特殊特征。最近已经开展了几项利用遥感监测森林外树木的研究,但很少有研究包括比较研究以优化森林外树木的采样策略。我们的综述表明,将遥感与实地调查相结合的方法似乎非常有前景,特别是当应用评估树木资源水平和垂直结构的遥感技术时。例如,在第一阶段进行激光扫描、在第二阶段进行实地调查的两阶段采样策略似乎对评估森林外树木资源有效。然而,森林外树木通常表现出与林木不同的特征。因此,为了改进森林外树木监测,通常需要开发专门适用于这种树木资源的模型,例如用于生物量评估的模型。或者,可以进一步开发基于实地的遥感方法,这些方法能提供有关单株树木的结构信息,特别是地面激光扫描,用于森林外树木监测应用。这也有可能减少实地调查期间进入森林外树木区域的问题,例如在森林外树木存在于花园和农田等集约利用的私人土地上的国家,这是一个问题。