干旱区生态环境知识资源中心(Arid): LPDynR: A new tool to calculate the land productivity dynamics indicator

Arid

DOI	10.1016/j.ecolind.2021.108386
	LPDynR: A new tool to calculate the land productivity dynamics indicator
	Rotllan-Puig, Xavier; Ivits, Eva; Cherlet, Michael
通讯作者	Cherlet, M (corresponding author), European Commiss, Unit D6 Knowledge Sustainable Dev & Food Secur Un, Joint Res Ctr JRC, Directorate D Sustainable Resources, Via Enrico Fermi 2749, I-21027 Ispra, VA, Italy.
来源期刊	ECOLOGICAL INDICATORS
ISSN	1470-160X
EISSN	1872-7034
出版年	2021
卷号	133
英文摘要	The United Nations Sustainable Development Goal 15 (Life on Land), adopted the indicator 15.3.1 to measure the Land Degradation Neutrality. This indicator is based on three sub-indicators: (1) Trends in Land Cover, (2) Land Productivity and (3) Carbon Stocks. The Land Productivity sub-indicator refers to the total above-ground Net Primary Production and reflects changes in health and productive capacity of the land. It can be calculated using the Land Productivity Dynamics approach, which performs a combined assessment of the long term tendency of change of land productivity and its current level relative to homogeneous land areas. Here, we present the R-based tool LPDynR, which implements the Land Productivity Dynamics approach for the calculation of the Land Productivity sub-indicator. LPDynR ingests vegetation-related indices derived from time series of remote sensed imagery. The final indicator is a 5-class map, ranging from declining to increasing land productivity. As an example of LPDynR functionalities and applicability, we present a case study for Europe. First, we show the general way to calculate the indicator for the entire time series (2000-2019), explained in a step by step process. Secondly, we show how to alternatively calculate the indicator based only on the long term tendency of change, but we evidence the added value of including the current level of productivity to refine the final indicator. Finally, we present some code for the calculation of partial indicators in terms of time scale along the observation period, which may help the user to understand the land productivity dynamics within the time series, as well as to assess the stability of the final product. While the indicator shows a general positive dynamics across Europe during the period 2000-2019, some of the partial maps show more negative trends, demonstrating the highly fluctuating character of vegetation.
英文关键词	Land productivity Ecosystem dynamics Land degradation Desertification Vegetation
类型	Article
语种	英语
开放获取类型	Green Submitted, gold
收录类别	SCI-E
WOS记录号	WOS:000730169000005
WOS关键词	TIME-SERIES
WOS类目	Biodiversity Conservation ; Environmental Sciences
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/373993
作者单位	[Rotllan-Puig, Xavier] ASTER Projects, Barri Reboll 9,1r, Guardiola De Bergueda 08694, Barcelona, Spain; [Ivits, Eva] European Environm Agcy, Geospatial Informat Serv Grp, Copenhagen, Denmark; [Cherlet, Michael] European Commiss, Unit D6 Knowledge Sustainable Dev & Food Secur Un, Joint Res Ctr JRC, Directorate D Sustainable Resources, Via Enrico Fermi 2749, I-21027 Ispra, VA, Italy
推荐引用方式 GB/T 7714	Rotllan-Puig, Xavier,Ivits, Eva,Cherlet, Michael. LPDynR: A new tool to calculate the land productivity dynamics indicator[J],2021,133.
APA	Rotllan-Puig, Xavier,Ivits, Eva,&Cherlet, Michael.(2021).LPDynR: A new tool to calculate the land productivity dynamics indicator.ECOLOGICAL INDICATORS,133.
MLA	Rotllan-Puig, Xavier,et al."LPDynR: A new tool to calculate the land productivity dynamics indicator".ECOLOGICAL INDICATORS 133(2021).