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首页> 外文期刊>Silva Fennica >Assessing local trends in indicators of ecosystem services with a time series of forest resource maps.
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Assessing local trends in indicators of ecosystem services with a time series of forest resource maps.

机译:评估生态系统服务指标的本地趋势与一系列森林资源地图。

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Since the 1990’s, forest resource maps and small area estimates have been produced by combining national forest inventory (NFI) field plot data, optical satellite images and numerical map data using a non-parametric k-nearest neighbour method. In Finland, thematic maps of forest variables have been produced by the means of multi-source NFI (MS-NFI) for eight to ten times depending on the geographical area, but the resulting time series have not been systematically utilized. The objective of this study was to explore the possibilities of the time series for monitoring the key ecosystem condition indicators for forests. To this end, a contextual Mann-Kendall (CMK) test was applied to detect trends in time-series of two decades of thematic maps. The usefulness of the observed trends may depend both on the scale of the phenomena themselves and the uncertainties involved in the maps. Thus, several spatial scales were tested: the MS-NFI maps at 16 × 16?msup2/sup pixel size and units of 240 × 240 msup2/sup, 1200 × 1200 msup2/sup and 12 000 × 12 000 msup2/sup aggregated from the MS-NFI map data. The CMK test detected areas of significant increasing trends of mean volume on both study sites and at various unit sizes except for the original thematic map pixel size. For other variables such as the mean volume of tree species groups, the proportion of broadleaved tree species and the stand age, significant trends were mostly found only for the largest unit size, 12 000 × 12 000 msup2/sup. The multiple testing corrections decreased the amount of significant p-values from the CMK test strongly. The study showed that significant trends can be detected enabling indicators of ecosystem services to be monitored from a time-series of satellite image-based thematic forest maps.
机译:自1990年代以来,通过使用非参数k最近邻法组合国家森林库存(NFI)场绘图数据,光学卫星图像和数值映射数据来产生森林资源图和小区域估计。在芬兰,根据地理区域的多源NFI(MS-NFI)的手段,通过多源NFI(MS-NFI)的手段产生了森林变量的主题地图,但是由地理区域进行了八到十次,但未得到系统序列的产生时间序列。本研究的目的是探讨时间序列监测森林关键生态系统条件指标的可能性。为此,应用了一个上下文Mann-Kendall(CMK)测试来检测时间系列的趋势,两十年的专题地图。观察到的趋势的有用性可能取决于本身的现象的规模和地图所涉及的不确定性。因此,测试了几个空间尺度:MS-NFI映射为16×16?M 2 像素尺寸和240×240 m 2 ,1200×1200 m < Sup> 2 和12 000×12 000 m 2 从MS-NFI地图数据聚合。除了原始专题映射像素尺寸外,CMK测试检测了在研究站点和各种单位尺寸上的平均均值趋势的区域。对于其他变量,例如树种组的平均体积,阔叶树种类的比例和待机时间,大多数仅针对最大单位尺寸,12 000×12 000 m 2 。多次测试校正强烈地降低了CMK测试的显着P值的量。该研究表明,可以检测到从基于卫星图像专题林地地图的时间序列监测的生态系统服务的指标,可以检测到显着的趋势。

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