Using high‐resolution multi‐spectral imagery to estimate habitat complexity in open‐canopy forests: can we predict ant community patterns?
Using high‐resolution multi‐spectral imagery to estimate habitat complexity in open‐canopy forests: can we predict ant community patterns?
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使用高分辨率多光谱图像来估计开放树冠森林的栖息地复杂性：我们可以预测蚂蚁群落模式吗？
DOI：
10.1111/j.0906-7590.2005.04116.x
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发表时间：
2005
期刊：
影响因子：
5.9
通讯作者：
D. Hochuli
中科院分区：
文献类型：
--
作者：
Scott A. Lassau;G. Cassis;P. Flemons;L. Wilkie;D. Hochuli
节肢动物群落的结构和组成与栖息地的复杂性密切相关。对栖息地复杂性的准确、省时的估计可以为自然系统中的生物多样性管理提供见解。我们获得了澳大利亚悉尼以北 20 公里和以南 20 公里的国家公园的高分辨率（0.7 m 像素）多光谱航空图像。我们探索了归一化植被指数 (NDVI) 和近红外光谱反射率标准差 (stdevR NIR ) 作为悉尼北部砂岩森林栖息地复杂性低和高的指标。然后，我们使用从悉尼南部砂岩森林的高分辨率多光谱图像中选择的站点来测试所描述的蚂蚁群落模式的预测（基于之前的研究）。地面评分的栖息地复杂性与 NDVI 呈正相关，并且在较小程度上与悉尼北部砂岩森林的 stdevR NIR 值呈正相关。正如预测的那样，悉尼南部森林中的蚂蚁物种丰富度与 NDVI 呈负相关。此外，在 NDVI 不同的地区，蚂蚁的物种组成也不同。在悉尼北部和南部的森林中，导致组成差异的蚂蚁物种以类似的方式对栖息地复杂性做出反应。我们检测到的 NDVI 与栖息地复杂性之间的密切关联，很可能反映了我们采样的森林中植被层相对暴露的性质。遥感与在景观尺度上测试动物对植被结构和生物量的预测反应的定量研究相结合，可以为估计特定栖息地管理的生物多样性提供有效的手段。
The structure and composition of arthropod assemblages are strongly associated with habitat complexity. Accurate, time efficient estimates of habitat complexity may provide insights for biodiversity management in natural systems. We obtained high-resolution (0.7 m pixel) multi-spectral aerial imagery of National Parks 20 km north and 20 km south of Sydney, Australia. We explored both the Normalised Difference Vegetation Index (NDVI) and the standard deviation of reflectance in the near-infrared spectrum (stdevR NIR ) as indicators of low and high habitat complexity in sandstone forests north of Sydney. We then tested described predictions of ant community patterns (based on a previous study) using sites selected from high-resolution multi-spectral imagery in sandstone forests south of Sydney. Ground-scored habitat complexity was positively correlated with NDVIs and, to a lesser extent, stdevR NIR values in sandstone forests north of Sydney. As predicted, ant species richness was negatively correlated with NDVIs in forests to the south of Sydney. Also, ant species composition was different in areas with contrasting NDVIs. The ant species driving composition differences responded to habitat complexity in a similar way in forests to the north, and south, of Sydney. The strong association we detected between NDVIs and habitat complexity, most likely reflects the relatively exposed nature of the vegetative layers in the forests we sampled. Remote sensing, integrated with quantitative research testing predictive faunal responses to vegetation structure and biomass at landscape scales, may provide efficient means of estimating biodiversity for management in particular habitats.
DOI：
10.1111/j.1442-9993.1993.tb00438.x
发表时间：
1993-03-01
期刊：
AUSTRALIAN JOURNAL OF ECOLOGY
影响因子：
--
作者：
CLARKE, KR
通讯作者：
CLARKE, KR