干旱区生态环境知识资源中心(Arid): Predicting suitable breeding areas for different locust species - A multi-scale approach accounting for environmental conditions and current land cover situation

Arid

DOI	10.1016/j.jag.2021.102672
	Predicting suitable breeding areas for different locust species - A multi-scale approach accounting for environmental conditions and current land cover situation
	Klein, Igor; van der Woude, Sietse; Schwarzenbacher, Frederic; Muratova, Nadiya; Slagter, Bart; Malakhov, Dmitry; Oppelt, Natascha; Kuenzer, Claudia
通讯作者	Klein, I (corresponding author)，German Aerosp Ctr DLR, German Remote Sensing Data Ctr DFD, D-82234 Wessling, Germany.
来源期刊	INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
ISSN	1569-8432
EISSN	1872-826X
出版年	2022
卷号	107
英文摘要	In this study, we present a fused multi-scale approach to model habitat suitability index (HSI) maps for three different locust species. The presented methodology was applied for the Italian locust (Calliptamus italicus, CIT) in Pavlodar oblast, Northern Kazakhstan, for the Moroccan locust (Dociostaurus maroccanus, DMA) in Turkistan oblast, South Kazakhstan and for the desert locust (Schistocerca gregaria) in Awash river basin, Ethiopia, Djibouti, Somalia. The main novelty is based on implementing results from ecological niche modelling (ENM) with timeseries analyses of high spatial resolution remote sensing data (Sentinel-2) and further auxiliary datasets in a fused HSI model. Within the ENM important climatic variables (e.g. temperature, rainfall) and edaphic variables (e.g. sand and moisture contents) are included at a coarse spatial resolution. The analyses of Sentinel-2 time-series data enables mapping locust breeding habitats based on recent remotely sensed land observation at high spatial resolution and mirror the actual vegetation state, land use, land cover and in this way identify areas with favorable conditions for egg survival and breeding. The fused HSI results for year 2019 were validated based on ground field observation and reach area under curve (AUC) performance of 0.747% for CIT, 0.850% for DMA and 0.801% for desert locust. The innovation of this study is a multi-scale approach which accounts not only for climatic and environmental conditions but also for current vegetation and land management situation. This kind of up-to-date spatial detailed information on breeding suitability could enable area prioritization for risk assessment, monitoring and early intervention of locust pests.
英文关键词	Locust breeding habitat Incubation of egg-pods Ecological niche model Habitat suitability index Locust monitoring Remote sensing Sentinel-2
类型	Article
语种	英语
开放获取类型	gold, Green Accepted
收录类别	SCI-E
WOS记录号	WOS:000748575300001
WOS关键词	HABITAT SUITABILITY INDEX ; MODELS ; PERFORMANCE ; VEGETATION ; DYNAMICS
WOS类目	Remote Sensing
WOS研究方向	Remote Sensing
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/376250
作者单位	[Klein, Igor; van der Woude, Sietse; Schwarzenbacher, Frederic; Slagter, Bart; Kuenzer, Claudia] German Aerosp Ctr DLR, German Remote Sensing Data Ctr DFD, D-82234 Wessling, Germany; [van der Woude, Sietse; Slagter, Bart] Wageningen Univ & Res WUR, Wageningen, Netherlands; [Muratova, Nadiya] Al Farabi Kazakh Natl Univ, Res Inst Ecol Problems, Alma Ata 050010, Kazakhstan; [Malakhov, Dmitry] Joint Stock Co Natl Ctr Space Res & Technol, Alma Ata 050010, Kazakhstan; [Oppelt, Natascha] Univ Kiel, Dept Geog, D-24118 Kiel, Germany; [Schwarzenbacher, Frederic; Kuenzer, Claudia] Univ Wurzburg, Inst Geog & Geol, D-97074 Wurzburg, Germany
推荐引用方式 GB/T 7714	Klein, Igor,van der Woude, Sietse,Schwarzenbacher, Frederic,et al. Predicting suitable breeding areas for different locust species - A multi-scale approach accounting for environmental conditions and current land cover situation[J],2022,107.
APA	Klein, Igor.,van der Woude, Sietse.,Schwarzenbacher, Frederic.,Muratova, Nadiya.,Slagter, Bart.,...&Kuenzer, Claudia.(2022).Predicting suitable breeding areas for different locust species - A multi-scale approach accounting for environmental conditions and current land cover situation.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,107.
MLA	Klein, Igor,et al."Predicting suitable breeding areas for different locust species - A multi-scale approach accounting for environmental conditions and current land cover situation".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 107(2022).