Remote sensing improves prediction of tropical montane species diversity but performance differs among taxa
Remote sensing improves prediction of tropical montane species diversity but performance differs among taxa
复制标题
遥感改善了热带山地物种多样性的预测，但不同类群的表现存在差异
DOI：
10.1016/j.ecolind.2017.01.022
复制
发表时间：
2017
影响因子：
6.9
通讯作者：
Bendix
中科院分区：
文献类型：
--
作者：
Wallis;Donoso;Fiedler;Homeier;Paulsch;Süßenbach;Brandl;Farwig;Bendix
被动遥感图像的纹理信息为生境结构提供了替代信息，这对于建立跨时空的生物多样性模型和制定有效的生态指标具有重要意义。然而，这一信息的适用性可能因分类群和多样性措施而异。我们比较了从遥感图像纹理分析中开发的指标对安第斯山脉雨林生态系统中六个分类群(树木、吡喃蛾、尺蛾蛾、牛角蛾、蚂蚁和鸟类)的物种丰富度和物种周转的预测能力。偏最小二乘回归模型使用12个表征生境的预测因子进行拟合，其中包括从高分辨率数字高程模型得出的3个地形度量和从极高分辨率多光谱正射影像得出的9个纹理度量。我们计算了近红外波段相对较宽的移动窗口(102微米×102微米)和两个植被指数内的平均值、相关性和熵统计得出的图像纹理。物种丰富度的模型表现依赖于分类群，对牛角蛾的预测能力最低(4%)，对蚂蚁的预测能力最高(78%)。地形度量充分模拟了吡喃蛾和蚂蚁的物种丰富度，而树木、尺蛾虫和鸟类的物种丰富度模型则受益于纹理度量。当模型增加更多的复杂性时，例如从较小的移动窗口(18米×18米)计算的额外纹理统计数据，对树木和鸟类的预测能力分别从12%和13%显著增加到22%和27%。通过Bray-Curtis相异度的非度量二维标度来评估物种更替的梯度，使得构建的模型在所有分类群中具有比物种丰富度高得多的可预测性，物种更替的第一响应变量的可预测性从物种组成变化的%(鸟类)到98%(树木)，物种更替的第二响应变量的可预测性从33%(树木)到74%(吡咯蛾)。两个NMDS轴有效地将由海拔和纹理指标组合解释的沿海拔梯度的成分变化与由不同纹理指标组合替代的栖息地结构的更微妙的局部变化分开。遥感图像纹理分析产生的指标的应用因分类和多样性措施而异。然而，这些栖息地指标改善了对大多数类群物种多样性度量的预测，因此，我们强烈建议在生物多样性研究中使用它们。
Texture information from passive remote sensing images provides surrogates for habitat structure, which is relevant for modeling biodiversity across space and time and for developing effective ecological indicators. However, the applicability of this information might differ among taxa and diversity measures. We compared the ability of indicators developed from texture analysis of remotely sensed images to predict species richness and species turnover of six taxa (trees, pyraloid moths, geometrid moths, arctiinae moths, ants, and birds) in a megadiverse Andean mountain rainforest ecosystem. Partial least-squares regression models were fitted using 12 predictors that characterize the habitat and included three topographical metrics derived from a high-resolution digital elevation model and nine texture metrics derived from very high-resolution multi-spectral orthophotos. We calculated image textures derived from mean, correlation, and entropy statistics within a relatively broad moving window (102 m × 102 m) of the near infra-red band and two vegetation indices. The model performances of species richness were taxon dependent, with the lowest predictive power for arctiinae moths (4%) and the highest for ants (78%). Topographical metrics sufficiently modeled species richness of pyraloid moths and ants, while models for species richness of trees, geometrid moths, and birds benefited from texture metrics. When more complexity was added to the model such as additional texture statistics calculated from a smaller moving window (18 m × 18 m), the predictive power for trees and birds increased significantly from 12% to 22% and 13% to 27%, respectively. Gradients of species turnover, assessed by non-metric two-dimensional scaling (NMDS) of Bray-Curtis dissimilarities, allowed the construction of models with far higher predictability than species richness across all taxonomic groups, with predictability for the first response variable of species turnover ranging from 64% (birds) to 98% (trees) of the explained change in species composition, and predictability for the second response variable of species turnover ranging from 33% (trees) to 74% (pyraloid moths). The two NMDS axes effectively separated compositional change along the elevational gradient, explained by a combination of elevation and texture metrics, from more subtle, local changes in habitat structure surrogated by varying combinations of texture metrics. The application of indicators arising from texture analysis of remote sensing images differed among taxa and diversity measures. However, these habitat indicators improved predictions of species diversity measures of most taxa, and therefore, we highly recommend their use in biodiversity research.
登录
查看更多内容
乞力马扎罗山大范围海拔梯度上蚂蚁群落养分利用的变化
DOI：
--
发表时间：
2014
期刊：
影响因子：
--
作者：
M. Peters;Antonia V. Mayr;Juliane Röder;N. Sanders;I. Steffan‐Dewenter
通讯作者：
I. Steffan‐Dewenter
影响亚马逊中部阿纳维哈纳斯群岛黑水湖水鸟群落的生态梯度
DOI：
--
发表时间：
2012
期刊：
影响因子：
--
作者：
R. Cintra
通讯作者：
R. Cintra
动物群：组成和功能
DOI：
--
发表时间：
2008
期刊：
影响因子：
--
作者：
K. Fiedler;G. Brehm;N. Hilt;D. Süßenbach;C. Häuser
通讯作者：
C. Häuser
绘制厄瓜多尔大陆蚂蚁物种图
DOI：
--
发表时间：
2015
期刊：
影响因子：
--
作者：
F. Salazar;Fabián Reyes;D. Sanmartin;D. Donoso
通讯作者：
D. Donoso
厄瓜多尔南部 Chusquea 竹上的毛毛虫群落：丰度、行会结构以及寄主植物质量的影响
影响因子：
2.2
作者：
Carlo L. Seifert;L. Lehner;Florian Bodner;K. Fiedler
通讯作者：
K. Fiedler