干旱区生态环境知识资源中心(Arid): REMOTE SENSING TECHNIQUES TO IDENTIFY AND CHARACTERIZE FORAGE COMMUNITIES IN A LIVESTOCK SYSTEM IN THE HYPER-ARID DESERT OF SAN JUAN (ARGENTINA)

Arid

DOI	10.31055/1851.2372.v55.n4.29322
	REMOTE SENSING TECHNIQUES TO IDENTIFY AND CHARACTERIZE FORAGE COMMUNITIES IN A LIVESTOCK SYSTEM IN THE HYPER-ARID DESERT OF SAN JUAN (ARGENTINA)
	Tapia, Raul E.; Carmona Crocco, Julieta; Martinelli, Mariana
通讯作者	Tapia, RE (corresponding author), Inst Nacl Tecnol Agr INTA, Buenos Aires, DF, Argentina. ; Tapia, RE (corresponding author), Consejo Nacl Invest Cient & Tecn CONICET, Buenos Aires, DF, Argentina.
来源期刊	BOLETIN DE LA SOCIEDAD ARGENTINA DE BOTANICA
ISSN	1851-2372
出版年	2020
卷号	55 期号:4 页码:619-630
英文摘要	Background and aims: The natural grasslands of arid zones cover 40% of the earth's surface and are a valuable source of forage for livestock. Inappropriate management and high livestock loads are among the factors responsible for their degradation. In this sense, a fast evaluation is essential to correct its use and promote conservation. The objective of the study was to identify and characterize, through satellite image processing and fieldwork, forage plant communities in a rainfed livestock system of San Juan. M&M: Indicator variables of soil and vegetation were generated from a Landsat 8 OLI image. Subsequently, unsupervised kmeans classification was performed. On field, plant cover, mulch and percentage of bare soil were registered from linear transects. Finally, the livestock receptivity of the plant communities was estimated. Results: 3 types of coverage were identified: coverage higher than 50%; higher than 20% and less than 50% and less than 20%. Also, two forage communities were identified, Lamaral and Zampal. In Lamaral, Prosopis alpataco var. lamaro obtained a coverage of 48%, a receptivity of 2.21 hectare/goat equivalent. In Zampal, a 35% coverage of Atriplex undulata was registered and the receptivity was 1.80 hectare/goat equivalent. Conclusions: The digital processing carried out was adequate for the purpose of the study and allowed recognizing, characterizing and mapping two forage communities. The richness of the species was low, with a predominance of shrubs and woody plants, limiting livestock in the area.
英文关键词	Vegetation cover natural grassland remote sensing drylands
类型	Article
语种	西班牙语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000606817200008
WOS关键词	MONTE DESERT ; RADIOMETRIC CALIBRATION ; VEGETATION ; ECOSYSTEMS ; PATTERNS ; PROVINCE
WOS类目	Plant Sciences
WOS研究方向	Plant Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/348770
作者单位	[Tapia, Raul E.; Carmona Crocco, Julieta; Martinelli, Mariana] Inst Nacl Tecnol Agr INTA, Buenos Aires, DF, Argentina; [Tapia, Raul E.; Carmona Crocco, Julieta] Consejo Nacl Invest Cient & Tecn CONICET, Buenos Aires, DF, Argentina; [Martinelli, Mariana] Univ Nacl San Juan UNSJ, Calle 11 & Vidart 5427, San Juan, Argentina
推荐引用方式 GB/T 7714	Tapia, Raul E.,Carmona Crocco, Julieta,Martinelli, Mariana. REMOTE SENSING TECHNIQUES TO IDENTIFY AND CHARACTERIZE FORAGE COMMUNITIES IN A LIVESTOCK SYSTEM IN THE HYPER-ARID DESERT OF SAN JUAN (ARGENTINA)[J],2020,55(4):619-630.
APA	Tapia, Raul E.,Carmona Crocco, Julieta,&Martinelli, Mariana.(2020).REMOTE SENSING TECHNIQUES TO IDENTIFY AND CHARACTERIZE FORAGE COMMUNITIES IN A LIVESTOCK SYSTEM IN THE HYPER-ARID DESERT OF SAN JUAN (ARGENTINA).BOLETIN DE LA SOCIEDAD ARGENTINA DE BOTANICA,55(4),619-630.
MLA	Tapia, Raul E.,et al."REMOTE SENSING TECHNIQUES TO IDENTIFY AND CHARACTERIZE FORAGE COMMUNITIES IN A LIVESTOCK SYSTEM IN THE HYPER-ARID DESERT OF SAN JUAN (ARGENTINA)".BOLETIN DE LA SOCIEDAD ARGENTINA DE BOTANICA 55.4(2020):619-630.