干旱区生态环境知识资源中心(Arid): Monitoring Water-Soil Dynamics and Tree Survival Using Soil Sensors under a Big Data Approach

Arid

DOI	10.3390/s19214634
	Monitoring Water-Soil Dynamics and Tree Survival Using Soil Sensors under a Big Data Approach
	Pascual, Adrian 1,2; Rivera, Rafael 3; Gomez, Rodrigo 4; Dominguez-Lerena, Susana 5
通讯作者	Pascual, Adrian
来源期刊	SENSORS
EISSN	1424-8220
出版年	2019
卷号	19 期号:21
英文摘要	The high importance of green urban planning to ensure access to green areas requires modern and multi-source decision-support tools. The integration of remote sensing data and sensor developments can contribute to the improvement of decision-making in urban forestry. This study proposes a novel big data-based methodology that combines real-time information from soil sensors and climate data to monitor the establishment of a new urban forest in semi-arid conditions. Water-soil dynamics and their implication in tree survival were analyzed considering the application of different treatment restoration techniques oriented to facilitate the recovery of tree and shrub vegetation in the degraded area. The synchronized data-capturing scheme made it possible to evaluate hourly, daily, and seasonal changes in soil-water dynamics. The spatial variation of soil-water dynamics was captured by the sensors and it highly contributed to the explanation of the observed ground measurements on tree survival. The methodology showed how the efficiency of treatments varied depending on species selection and across the experimental design. The use of retainers for improving soil moisture content and adjusting tree-watering needs was, on average, the most successful restoration technique. The results and the applied calibration of the sensor technology highlighted the random behavior of water-soil dynamics despite the small-scale scope of the experiment. The results showed the potential of this methodology to assess watering needs and adjust watering resources to the vegetation status using real-time atmospheric and soil data.
英文关键词	remote sensing urban forests soil sensoring precision forestry proximal sensing integrated systems
类型	Article
语种	英语
国家	Finland ; Portugal ; Spain
开放获取类型	gold, Green Published
收录类别	SCI-E
WOS记录号	WOS:000498834000031
WOS关键词	SEEDLING ESTABLISHMENT ; INOCULATION ; URBAN ; RESTORATION ; LANDSCAPES ; HYDROGELS ; PATTERNS ; FOREST ; FUNGI ; COVER
WOS类目	Chemistry, Analytical ; Engineering, Electrical & Electronic ; Instruments & Instrumentation
WOS研究方向	Chemistry ; Engineering ; Instruments & Instrumentation
EI主题词	2019-11-01
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/310564
作者单位	1.Univ Eastern Finland, Sch Forest Sci, POB 111, Joensuu 80101, Finland; 2.Univ Tecn Lisboa, Inst Super Agron, Ctr Estudos Forestais, P-1349017 Lisbon, Portugal; 3.ICLAVES SL, Madrid 28003, Spain; 4.CESEFOR Fdn, Pol Ind Las Casas 42005, Soria, Spain; 5.SDL, Invest & Divulgac Medio Ambiente, Madrid 28491, Spain
推荐引用方式 GB/T 7714	Pascual, Adrian,Rivera, Rafael,Gomez, Rodrigo,et al. Monitoring Water-Soil Dynamics and Tree Survival Using Soil Sensors under a Big Data Approach[J],2019,19(21).
APA	Pascual, Adrian,Rivera, Rafael,Gomez, Rodrigo,&Dominguez-Lerena, Susana.(2019).Monitoring Water-Soil Dynamics and Tree Survival Using Soil Sensors under a Big Data Approach.SENSORS,19(21).
MLA	Pascual, Adrian,et al."Monitoring Water-Soil Dynamics and Tree Survival Using Soil Sensors under a Big Data Approach".SENSORS 19.21(2019).