Outbreak of Moroccan Locust in Sardinia (Italy): A Remote Sensing Perspective

Author:

Klein IgorORCID,Cocco ArturoORCID,Uereyen Soner,Mannu RobertoORCID,Floris IgnazioORCID,Oppelt NataschaORCID,Kuenzer Claudia

Abstract

The Moroccan locust has been considered one of the most dangerous agricultural pests in the Mediterranean region. The economic importance of its outbreaks diminished during the second half of the 20th century due to a high degree of agricultural industrialization and other human-caused transformations of its habitat. Nevertheless, in Sardinia (Italy) from 2019 on, a growing invasion of this locust species is ongoing, being the worst in over three decades. Locust swarms destroyed crops and pasture lands of approximately 60,000 ha in 2022. Drought, in combination with increasing uncultivated land, contributed to forming the perfect conditions for a Moroccan locust population upsurge. The specific aim of this paper is the quantification of land cover land use (LCLU) influence with regard to the recent locust outbreak in Sardinia using remote sensing data. In particular, the role of untilled, fallow, or abandoned land in the locust population upsurge is the focus of this case study. To address this objective, LCLU was derived from Sentinel-2A/B Multispectral Instrument (MSI) data between 2017 and 2021 using time-series composites and a random forest (RF) classification model. Coordinates of infested locations, altitude, and locust development stages were collected during field observation campaigns between March and July 2022 and used in this study to assess actual and previous land cover situation of these locations. Findings show that 43% of detected locust locations were found on untilled, fallow, or uncultivated land and another 23% within a radius of 100 m to such areas. Furthermore, oviposition and breeding sites are mostly found in sparse vegetation (97%). This study demonstrates that up-to-date remote sensing data and target-oriented analyses can provide valuable information to contribute to early warning systems and decision support and thus to minimize the risk concerning this agricultural pest. This is of particular interest for all agricultural pests that are strictly related to changing human activities within transformed habitats.

Funder

BMBF in the framework of the CLIENT-II program

Regione Autonoma della Sardegna—Deliberazione della Giunta regionale

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Reference81 articles.

1. Reuters (2022, July 25). Sardinian Farmers Suffer Worst Locust Invasion in over 30 Years 2022. Available online: https://www.reuters.com/world/europe/sardinian-farmers-suffer-worst-locust-invasion-over-30-years-2022-07-13/.

2. Reuters (2020, August 14). Sardinia Hit by Worst Locust Invasion for 70 Years 2019. Available online: https://www.reuters.com/article/us-italy-locusts-idUSKCN1TC1BY.

3. Moroccan Locust Dociostaurus maroccanus (Thunberg, 1815): A Faunistic Rarity or an Important Economic Pest?;Latchininsky;J. Insect Conserv.,1998

4. Molinu, A., Cesaroni, C., and Pantaleoni, R.A. (2004). Arsenic Locusts—The Control of Locusts in Sardinia in the First Half of Twentieth Century, Composita.

5. An Ecological Niche Model for Dociostaurus maroccanus, Thunberg, 1815 (Orthoptera, Acrididae): The Nesting Environment and Survival of Egg-Pods;Malakhov;Biosis Biol. Syst.,2020

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3