A remote sensing approach to monitor the conservation status of lacustrine Phragmites australis beds
A remote sensing approach to monitor the conservation status of lacustrine Phragmites australis beds
复制标题
湖相芦苇层保护状况遥感监测
DOI：
10.1007/s11273-013-9311-9
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发表时间：
2013
影响因子：
1.8
通讯作者：
R. Bolpagni
中科院分区：
文献类型：
--
作者：
P. Villa;A. Laini;M. Bresciani;R. Bolpagni
自20世纪中叶以来，澳大利亚原住民地区的芦荟种群一直在逐渐减少。我们开发了一种基于遥感的合理方法来监测OFP的保护状况。在加尔达湖(意大利北部)，根据环境梯度对澳大利亚海床进行管理，并确定未来管理行动的方向。在2010年生长季期间，我们收集了以下数据：(I)SEVEP的结构和功能状况。在每一层周围50米的缓冲区中，我们测试了来自多时相多传感器数据集的四种不同的植被指数(VIS)。基于VI统计量和环境变量(形态、功能和土地利用)的双层次聚类结果表明，活力功能分析的结果与环境分类结果具有良好的一致性。考虑了南极洲的海床。总体而言，床的面积是数据聚类过程中影响最大的因素，其次是由增强的植被指数得出的描述符。我们的结果证实了遥感数据的时间特征对评估普通芦苇床保护状况的重要性，并证明了VIS及其派生描述符对均匀滨海地区当地环境条件的敏感性。这项研究支持了遥感监测河岸带植被和分析OFP的空间和时间响应。澳大利亚人对人的压力和管理行动感到不安。
Phragmites australispopulations in native areas have been gradually declining since the mid-20th century. We developed a logical approach based on remote sensing to monitor the conservation status ofP. australisbeds in response to environmental gradients and orient future management actions in Lake Garda (northern Italy). During the 2010 growing season we collected data on: (i) the structural and functional status of sevenP. australisbeds and (ii) land cover in a 50-m buffer around each bed, and we tested four different vegetation indices (VIs) derived from a multi-temporal and multisensor dataset. Double hierarchical clustering based on the VI statistics and environmental variables (morphological, functional and land-use) showed a good consistency between the outputs of the vigor-function analysis and the environmental classification of theP. australisbeds considered. Overall, the bed’s area was the most influential factor in the data clustering procedures, followed by the descriptors derived from the enhanced vegetation index. Our results confirmed the importance of temporal characteristics of remote sensing data to assess the conservation status of common reed beds and proved the sensitivity of VIs and derived descriptors to local environmental conditions within a homogeneous littoral area. This study supports the utility of remote sensing for monitoring riparian vegetation and analyzing the spatial and temporal response ofP. australispopulations to human pressure and management actions.