Spectral heterogeneity of QuickBird satellite data is related to fine-scale plant species spatial turnover in semi-natural grasslands
Spectral heterogeneity of QuickBird satellite data is related to fine-scale plant species spatial turnover in semi-natural grasslands
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DOI：
10.1111/j.1654-109x.2011.01143.x
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发表时间：
2012-02-01
影响因子：
2.8
通讯作者：
Prentice, Honor C.
中科院分区：
文献类型：
--
作者：
Hall, Karin;Reitalu, Triin;Prentice, Honor C.
问题：卫星数据是否与精细尺度物种多样性有关，实地数据和卫星数据的综合利用是否提供了可用于估计半天然草原地点精细尺度物种多样性的信息？地点：波罗的海岛屿的奥兰（瑞典）。方法：实地工作，包括现场描述的62个半天然草地网站（由三个0.5米× 0.5米的地块每个网站）进行记录响应变量（总物种丰富度，平均物种丰富度和物种空间营业额）和现场测量的解释变量（现场层高度和地块之间的距离）。在每个站点内，QuickBird卫星数据是通过将每个实地图与3x 3像素窗口（1像素= 2.4 mx2.4 m）相关联，从标准化样本区提取的。解释变量（归一化差异植被指数和光谱异质性）是从卫星数据产生的。相关性检验，单变量回归，方差分割和多元线性回归被用来分析响应和解释variables.Results之间的关联：有一个显着的相关性之间的光谱异质性的近红外波段和实地测量的空间营业额的物种。每个响应变量的最简约的解释模型包括实地测量和卫星生成的解释变量。该模型解释了30-35%的物种多样性的变化（总丰富度36%，平均丰富度31%，物种营业额33%）。结论：高空间分辨率的卫星数据能够提供细尺度的栖息地信息，是相关的监测和保护管理细尺度的植物多样性在半自然草原。
Question: Can satellite data be related to fine-scale species diversity and does the integrated use of field and satellite data provide information that can be used in the estimation of fine-scale species diversity in semi-natural grassland sites?Location: The Baltic Island of Oland (Sweden).Methods: Field work including the on-site description of 62 semi-natural grassland sites (represented by three 0.5 m x 0.5 m plots per site) was performed to record response variables (total species richness, mean species richness and species spatial turnover) and field-measured explanatory variables (field-layer height and distance between plots). Within each site, QuickBird satellite data were extracted from a standardized sample area by associating each field plot with a 3 x 3 pixel window (1 pixel = 2.4 m x 2.4 m). Explanatory variables (the normalized difference vegetation index and spectral heterogeneity) were generated from the satellite data. Correlation tests, univariate regressions, variance partitioning and multivariate linear regressions were used to analyse the associations between response and explanatory variables.Results: There was a significant association between the spectral heterogeneity of the near-infrared band and the field-measured spatial turnover of species. The most parsimonious explanatory model for each response variable included both field-measured and satellite-generated explanatory variables. The models explained 30-35% of the variation in species diversity (total richness 36%, mean richness 31%, species turnover 33%).Conclusions: High spatial resolution satellite data are capable of supplying fine-scale habitat information that is relevant for the monitoring and conservation management of fine-scale plant diversity in semi-natural grasslands.