干旱区生态环境知识资源中心(Arid): Wide-area invasive species propagation mapping is possible using phenometric trends

Arid

DOI	10.1016/j.isprsjprs.2019.10.016
	Wide-area invasive species propagation mapping is possible using phenometric trends
	Landmann, Tobias 1,2; Dubovyk, Olena 3; Ghazaryan, Gohar 3; Kimani, Jackson 1; Abdel-Rahman, Elfatih M.1,4
通讯作者	Landmann, Tobias ; Abdel-Rahman, Elfatih M.
来源期刊	ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
ISSN	0924-2716
EISSN	1872-8235
出版年	2020
卷号	159 页码:1-12
英文摘要	Invasive plant species in eastern Africa severely impede rangeland and cropland productivity with dire consequences for livelihoods of agro-pastoralist communities. We produced the first occurrence and spread map of invasive plant species (Prosopis: Prosopis juliflora and Parthenium: Parthenium hysterophorus) for western Somaliland (a region of eastern Africa) using vegetation productivity and phenology trends from 250 m MODIS (Moderate Resolution Imaging Spectroradiometer) EVI (Enhanced Vegetation Index) time-series data (2001-2014). Binomial logistic regression models were created to predict the presence or absence of the invasive species from the MODIS EVI phenometrics and vegetation productivity trends. Model training pixels were extracted from a 30 m Landsat-based classification that mapped areas of propagation of the two invasive species between 2001 and 2015. Field observations collected during 2014 and 2015 were used as reference data for the Landsat classification. After optimization of the logistic regression models, a probability of occurrence map was produced and evaluated for each of the two invasive species. The probability maps predicted that the cropland-dominated areas in the southwestern part of Somaliland were considerably infested with Parthenium while Prosopis was most abundant in the peri-urban zones and the central and eastern regions. Vegetation amplitude (the seasonal cycle of vegetation between the vegetation peak and the trough) was most relevant and statistically significant for predicting the spread of Parthenium. This highlights the importance of vegetation seasonality variables for the wide-area mapping of herbaceous life forms in semi-arid biomes. Mann-Kendall trends based on annual summed EVI value and seasonal EVI peak value trends were the most relevant predictors for the occurrence of Prosopis. Phenometric trends show immense potential to map shifts in vegetation patterns in relation to the spread of invasive species as a consequence of global change effects, particularly in African drylands.
英文关键词	MODIS EVI Phenometrics Land degradation Bush encroachment Logistic regression
类型	Article
语种	英语
国家	Kenya ; Germany ; Sudan
收录类别	SCI-E ; SSCI
WOS记录号	WOS:000508739800001
WOS关键词	UNDERSTORY PLANT INVASION ; RANDOM FOREST ; PHENOLOGY TRENDS ; TIME-SERIES ; COVER ; LANDSAT ; IMAGERY ; VARIABILITY ; REGRESSION ; RANGELANDS
WOS类目	Geography, Physical ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Physical Geography ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
EI主题词	2020-01-01
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/312160
作者单位	1.Int Ctr Insect Physiol & Ecol, POB 30772, Nairobi 00100, Kenya; 2.Remote Sensing Solut GmbH, Dingolfinger Str 9, D-81673 Munich, Germany; 3.Univ Bonn, Ctr Remote Sensing Land Surfaces ZFL, Walter Flex Str 3, D-53113 Bonn, Germany; 4.Univ Khartoum, Fac Agr, Dept Agron, Khartoum 13314, Sudan
推荐引用方式 GB/T 7714	Landmann, Tobias,Dubovyk, Olena,Ghazaryan, Gohar,et al. Wide-area invasive species propagation mapping is possible using phenometric trends[J],2020,159:1-12.
APA	Landmann, Tobias,Dubovyk, Olena,Ghazaryan, Gohar,Kimani, Jackson,&Abdel-Rahman, Elfatih M..(2020).Wide-area invasive species propagation mapping is possible using phenometric trends.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,159,1-12.
MLA	Landmann, Tobias,et al."Wide-area invasive species propagation mapping is possible using phenometric trends".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 159(2020):1-12.