Mapping the drivers of parasitic weed abundance at a national scale: a new approach applied to Striga asiatica in the mid-west of Madagascar
Mapping the drivers of parasitic weed abundance at a national scale: a new approach applied to Striga asiatica in the mid-west of Madagascar
复制标题
绘制全国范围内寄生杂草丰度的驱动因素：一种应用于马达加斯加中西部独脚金的新方法
DOI：
10.1111/wre.12436
复制
发表时间：
2020
期刊：
影响因子：
1.7
通讯作者：
Scott D
中科院分区：
文献类型：
--
作者：
Scott D
在撒哈拉以南非洲地区，寄生杂草strigus属给作物生产造成巨大损失，估计每年损失超过70亿美元。striga缺乏可靠的分布数据；然而，迫切需要这些数据来了解当前的驱动因素，更好地控制目标，以及预测未来的风险。为了解决这个问题，我们开发了一种方法来快速、大规模地监测条纹种群。我们使用这种方法来揭示目前驱动马达加斯加亚洲斯特拉加菌数量和分布的因素。在马达加斯加中西部地区建立了两个长距离的样带，其中hs。据估计，在公路附近的田地里，亚洲的丰度很高。还收集了管理、作物结构和土壤数据。数据分析表明，作物品种、伴生作物和前茬作物与土壤密度相关。场内线虫密度与最近的邻近场密度呈正相关，表明适宜生境的空间结构和连通性在确定线虫蔓延方面也很重要。我们的研究结果表明，我们能够在景观尺度上获取密度的分布和管理数据，并利用这些数据来了解丰度的生态和农艺驱动因素。作物品种和种植模式的重要性是显著的，因为它们是马达加斯加种植方式的关键社会经济要素。因此，它们有可能被推广为现成的控制选择，而不是需要引入的新技术。
The parasitic weed genusStrigacauses huge losses to crop production in sub‐Saharan Africa, estimated to be in excess of $7 billion per year. There is a paucity of reliable distribution data forStriga; however, such data are urgently needed to understand current drivers, better target control efforts, as well as to predict future risks. To address this, we developed a methodology to enable rapid, large‐scale monitoring ofStrigapopulations. We used this approach to uncover the factors that currently drive the abundance and distribution ofStriga asiaticain Madagascar. Two long‐distance transects were established across the middle‐west region of Madagascar in whichS. asiaticaabundance in fields adjacent to the road was estimated. Management, crop structure and soil data were also collected. Analysis of the data suggests that crop variety, companion crop and previous crop were correlated withStrigadensity. A positive relationship between within‐fieldStrigadensity and the density of the nearest neighbouring fields indicates that spatial configuration and connectivity of suitable habitats is also important in determiningStrigaspread. Our results demonstrate that we are able to capture distribution and management data forStrigadensity at a landscape scale and use this to understand the ecological and agronomic drivers of abundance. The importance of crop varieties and cropping patterns is significant, as these are key socio‐economic elements of Malagasy cropping practices. Therefore, they have the potential to be promoted as readily available control options, rather than novel technologies requiring introduction.