首页> 外文期刊>Entomologia Experimentalis et Applicata >Can late summer Landsat data be used for locating Asian migratory locust, Locusta migratoria migratoria, oviposition sites in the Amudarya River delta, Uzbekistan
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Can late summer Landsat data be used for locating Asian migratory locust, Locusta migratoria migratoria, oviposition sites in the Amudarya River delta, Uzbekistan

机译:可以用夏末的Landsat数据来定位乌兹别克斯坦的Amudarya River三角洲的亚洲游蝗,Locusta migratoria migratoria和产卵地点。

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Existing survey methods for assessing the Asian migratory locust, Locusta migratoria migratoria L. (Orthoptera: Acrididae), infestation risk in the Amudarya River delta, Uzbekistan, are largely constrained by economic resources and site accessibility. The surveys are restricted to a few easily accessible areas, which leads to a misinterpretation of the threat of locust infestation. This often results in indiscriminate blanket treatments of vast areas of wetlands with broad-spectrum insecticides, which may adversely impact non-target fauna and flora. In order to minimize the bias during surveys, one approach would be to allocate the sampling locations based on the distribution of the primary food and shelter plant of the locusts, the common reed, Phragmites australis (Cav.) Trin. ex Steud (Poaceae). In this study, we evaluated the utility of satellite-based remotely sensed data (Landsat TM) acquired in August 2006 to characterize reed distribution in the delta and identify potential locust oviposition sites. The overall accuracy of the Landsat data to map land cover classes in the delta was 84%. The Landsat TM data identified 90% of the reeds, but it was less useful in identifying areas where other vegetations (shrubs and grasses) were mixed with reeds. During the following summer field survey in June 2007, we identified 37 sites that were infested with early-instar locusts. The low migration capacity of young nymphs in dense reed vegetation allowed us to presume that these sites were used for oviposition in the previous summer. Twenty-eight (74%) of these 37 sites had reeds in the previous year. Results from these studies demonstrate that reed distribution maps derived from satellite data could be used for targeting locust egg-pod survey locations, in order to minimize sampling bias while predicting locust infestation risks for the following season.
机译:现有的评估亚洲游蝗蝗(直立蝗:蝗科)的调查方法,乌兹别克斯坦的阿穆达里亚河三角洲的侵扰风险在很大程度上受到经济资源和地点可及性的限制。调查仅限于几个容易到达的区域,这会导致对蝗虫侵袭威胁的误解。这通常导致用广谱杀虫剂对大片湿地进行盲目地覆盖处理,这可能会对非目标动植物造成不利影响。为了最大程度地减少调查过程中的偏差,一种方法是根据刺槐的主要食物和庇护所植物(芦苇芦苇)的分布来分配采样位置。 ex Steud(禾本科)。在这项研究中,我们评估了2006年8月获取的基于卫星的遥感数据(Landsat TM)的效用,以表征三角洲中的芦苇分布并确定潜在的蝗虫产卵地点。 Landsat数据用于绘制三角洲中土地覆盖类别的总体准确性为84%。 Landsat TM数据可识别出90%的芦苇,但在识别其他植被(灌木和草)与芦苇混合的区域时作用不大。在接下来的2007年6月的夏季实地调查中,我们确定了37个受到早熟蝗虫侵袭的地点。幼虫若虫在茂密的芦苇植被中的迁移能力较低,因此我们可以推测这些位点在去年夏天曾用于产卵。在这37个地点中,有28个(74%)去年有芦苇。这些研究的结果表明,从卫星数据获得的芦苇分布图可用于瞄准蝗虫卵荚调查地点,以最大程度地减少采样偏差,同时预测下一个季节蝗虫侵害的风险。

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