干旱区生态环境知识资源中心(Arid): Plant invasion correlation with climate anomaly: an Indian retrospect

Arid

DOI	10.1007/s10531-019-01711-0
	Plant invasion correlation with climate anomaly: an Indian retrospect
	Tripathi, Poonam 1,2; Behera, Mukunda Dev 2; Roy, Partha Sarathi 3
通讯作者	Tripathi, Poonam
来源期刊	BIODIVERSITY AND CONSERVATION
ISSN	0960-3115
EISSN	1572-9710
出版年	2019
卷号	28 期号:8-9 页码:2049-2062
英文摘要	Plant invasion is highly responsive to rising temperature, altered precipitation and various anthropogenic disturbances. Therefore, climate anomalies might provide opportunities to identify the relationship of past climate in deriving the distribution of invasive species and to detect their probable future distribution. In this work, we studied the correlation of climate anomaly i.e. temperature and precipitation with an indicative map of plant invasive species (1 degrees grid) of India. The indicative map was generated through the plant data available from the project Biodiversity Characterization at Landscape Level'. Climate anomaly was calculated and represented by average temperature and precipitation using Climate Research Unit' data for the period of 1901 to 2000. A comparison of local geographically weighted regression (GWR) model and a global ordinary least square regression (OLS) model was carried out for statistical analysis to depict the correlation at 1 degrees spatial grids. Overall, 20,501 records with a total of 9112 unique plots and 161 unique invasive species were recorded in the database that shows a maximum of 15 invasive species in a 0.04ha nested quadrat. Cumulative analysis showed a maximum of 53 invasive species at 1 degrees grid. Individually, GWR could reveal a significant correlation with invasive species distribution for temperature anomaly (r(2)=0.73, AIC=2206) and precipitation anomaly (r(2)=0.74, AIC=2221), while OLS model did not offer a good correlation (r(2)<0.001, AIC>2400) compared to GWR. Combination of temperature and precipitation anomaly (shared model) showed an improved spatial correlation (r(2)>0.75) using GWR. Variation partitioning revealed the dominant influence (>0.40 of variation) of temperature anomaly over Deccan Peninsula, Himalaya and North East zone. Influence of precipitation anomaly was more prominent over arid and semi-arid zone explaining >0.35 of variation. Results revealed the strength of GWR to see the interaction of invasive plant species w.r.t. climate anomalies that explain the influence of spatial variation due to heterogeneity at varying neighbour distances. The significant correlation of invasive species with both the anomalies revealed the affinity of invasive species towards warmer, drier and wet places. This gives an indication that the distribution of invasive species could be triggered by climate anomaly. The use of other predictor variables (i.e. edaphic and anthropogenic) could be an inclusive input in a future perspective.
英文关键词	Climate change Anomaly Invasive species GWR OLS India
类型	Article
语种	英语
国家	Nepal ; India
开放获取类型	Green Accepted
收录类别	SCI-E
WOS记录号	WOS:000470665000007
WOS关键词	ALIEN PLANTS ; SPATIAL-ANALYSIS ; IMPACTS ; VEGETATION ; PATTERNS ; GRASSES ; SCALES
WOS类目	Biodiversity Conservation ; Ecology ; Environmental Sciences
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
来源机构	International Crops Research Institute for the Semi-Arid Tropics
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/214599
作者单位	1.Int Ctr Integrated Mt Dev, GPO Box 3226, Kathmandu, Nepal; 2.Indian Inst Technol Kharagpur, Ctr Oceans Rivers Atmosphere & Land Sci CORAL, Kharagpur 721302, W Bengal, India; 3.Int Crops Res Inst Semi Arid Trop, Innovat Syst Dry Lands, Syst Anal Climate Smart Agr, Hyderabad 502324, India
推荐引用方式 GB/T 7714	Tripathi, Poonam,Behera, Mukunda Dev,Roy, Partha Sarathi. Plant invasion correlation with climate anomaly: an Indian retrospect[J]. International Crops Research Institute for the Semi-Arid Tropics,2019,28(8-9):2049-2062.
APA	Tripathi, Poonam,Behera, Mukunda Dev,&Roy, Partha Sarathi.(2019).Plant invasion correlation with climate anomaly: an Indian retrospect.BIODIVERSITY AND CONSERVATION,28(8-9),2049-2062.
MLA	Tripathi, Poonam,et al."Plant invasion correlation with climate anomaly: an Indian retrospect".BIODIVERSITY AND CONSERVATION 28.8-9(2019):2049-2062.