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首页> 外文期刊>International journal of remote sensing >CanopyShotNoise - An individual-based tree canopy modelling framework for projecting remote-sensing data and ecological sensitivity analysis
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CanopyShotNoise - An individual-based tree canopy modelling framework for projecting remote-sensing data and ecological sensitivity analysis

机译：CANopyshotnoise - 一种基于个性的树冠概念建模框架，用于投影遥感数据和生态敏感性分析

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摘要

Very few spatially explicit tree models have so far been constructed with a view to project remote-sensing data directly. To fill this gap, we introduced the prototype of the CanopyShotNoise model, an individual-based model specifically designed for projecting airborne laser scanning (ALS) data. Given the nature of ALS data, the model focuses on the dynamics of individual-tree canopies in forest ecosystems, that is, spatial tree interaction and resulting growth, birth and death processes. In this study, CanopyShotNoise was used to analyse the long-term effects of the processes crown plasticity (C) and superorganism formation (S) on spatial tree canopy patterns that are likely to play an important role in ongoing climate change. We designed a replicated computer experiment involving the four scenarios C0S0, C1S0, C0S1 and C1S1 where 0 and 1 imply that the preceding process was switched off and on, respectively. We hypothesized that C and S are antagonistic processes, specifically that C would lead to increasing regularity of tree locations and S would result in clustering. Our simulation results confirmed that in the long run intertree distances decreased and canopy gap size increased when superorganisms were encouraged to form. At the same time, the overlap and packing of tree crowns increased. The long-term effect of crown plasticity increased the regularity of tree locations; however, this effect was much weaker than that of superorganism formation. As a result, gap patterns remained more or less unaffected by crown plasticity. In scenario C1S1, both processes interestingly interacted in such a way that crown plasticity even increased the effect of superorganism formation. Our simulation results are likely to prove helpful in recognizing patterns of facilitation with ongoing climate change.
机译：到目前为止，很少有空间显式的树模型是通过直接投影远程传感数据的视图来构建。为了填补这种差距，我们介绍了Canopyshotnoise模型的原型，专门用于投影空气载激光扫描（ALS）数据的基于个性的模型。鉴于ALS数据的性质，该模型侧重于森林生态系统中单个树檐篷的动态，即空间树相互作用和产生的增长，出生和死亡过程。在这项研究中，CANopyshotnoise用于分析过程冠塑性（c）和超级机构在空间树冠上的长期效果，这些树冠冠层模式可能在正在进行的气候变化中发挥重要作用。我们设计了一种复制的计算机实验，涉及四种场景C0S0，C1S0，C0S1和C1S1，其中0和1暗示分别关闭前进的过程。我们假设C和S是对抗过程，特别是C将导致树立位置的规律性越来越长，并且S会导致聚类。我们的模拟结果证实，在长期间隔距离下降，鼓励对上升机组的形成时，冠层间隙尺寸增加。与此同时，树冠的重叠和包装增加。皇冠塑性的长期效果增加了树木地点的规律性;然而，这种效果比超级有机物形成的效果要弱得多。结果，间隙图案或多或少不受皇冠可塑性的影响。在场景C1S1中，两个流程有趣地以这种方式相互作用，即冠状可塑性甚至增加了超级有机物形成的效果。我们的仿真结果可能会有助于识别持续的气候变化的促进模式。

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  • 来源
    《International journal of remote sensing》 |2021年第18期|6837-6865|共29页
  • 作者

    Pommerening Arne; Gaulton Rachel; Magdon Paul; Myllymaki Mari;

  • 作者单位

    Swedish Univ Agr Sci SLU Dept Forest Ecol & Management Fac Forest Sci Skogsmarksgrand 17 SE-90183 Umea Sweden;

    Newcastle Univ Sch Nat & Environm Sci Newcastle Upon Tyne Tyne & Wear England;

    Univ Gottingen Fac Forest Sci & Forest Ecol Forest Inventory & Remote Sensing Gottingen Germany;

    Nat Resources Inst Finland Luke Bioecon & Environm Unit Helsinki Finland;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
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