Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.7818/ECOS.2229 |
Temporal variations on NDVI predict temporal changes in vegetation cover across Patagonian drylands (Argentina) | |
Gaitan, Juan J.; Ciano, Nicolas; Oliva, Gabriel; Bran, Donaldo; Butti, Lucas; Cariac, German; Caruso, Cecilia; Opazo, Walter; Ferrante, Daniela; Echevarria, Daniela; Buono, Gustavo; Fantozzi, Anabella; Guirado, Emilio; Maestre, Fernando T. | |
通讯作者 | Gaitan, JJ (corresponding author),Inst Nacl Tecnol Agr INTA, Inst Suelos CNIA, RA-1686 Buenos Aires, DF, Argentina. ; Gaitan, JJ (corresponding author),Univ Nacl Lujan, Dept Tecnol, RA-6700 Lujan, Buenos Aires, Argentina. ; Gaitan, JJ (corresponding author),Consejo Nacl Invest Cient & Tecn Argentina CONICE, Buenos Aires, DF, Argentina. |
来源期刊 | ECOSISTEMAS |
ISSN | 1697-2473 |
出版年 | 2021 |
卷号 | 30期号:3 |
英文摘要 | Temporal variations on NDVI predict temporal changes in vegetation cover across Patagonian drylands (Argentina). In drylands, natural vegetation is an important source of livelihood as they provide food, fuel and forage for livestock. In addition to the provision of goods and services, dryland vegetation also plays an important role in many ecological processes, such as recycling nutrients or protecting the soil from erosion. Long-term monitoring of vegetation cover is therefore key for decision-making and management of these regions. In this study, we analyze the variation of vegetation cover in 239 sites of a long-term monitoring network (MARAS network), in one of the largest dryland biomes in the world: the argentine patagonian steppe. Then we relate it to the variation of different periods of the Normalized Difference Vegetation Index (NDVI), obtained from the MODIS sensor, which serve as a predictor variable. The adjusted empirical model explained up to 40% of the variation in the vegetation cover measured in the field. With this simple empirical model we have estimated and mapped temporal changes in the vegetation cover of a large dryland biome at low cost. |
英文关键词 | desertification indicators monitoring remote sensing |
类型 | Article |
语种 | 西班牙语 |
开放获取类型 | gold, Green Published |
收录类别 | ESCI |
WOS记录号 | WOS:000736978200011 |
WOS关键词 | PROXY GLOBAL ASSESSMENT ; NOAA-AVHRR ; SPATIAL VARIABILITY ; SPECIES RICHNESS ; LAND DEGRADATION ; SOIL-EROSION ; ECOSYSTEM ; DESERTIFICATION ; SAHEL ; DYNAMICS |
WOS类目 | Ecology |
WOS研究方向 | Environmental Sciences & Ecology |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/376091 |
作者单位 | [Gaitan, Juan J.] Inst Nacl Tecnol Agr INTA, Inst Suelos CNIA, RA-1686 Buenos Aires, DF, Argentina; [Gaitan, Juan J.] Univ Nacl Lujan, Dept Tecnol, RA-6700 Lujan, Buenos Aires, Argentina; [Gaitan, Juan J.] Consejo Nacl Invest Cient & Tecn Argentina CONICE, Buenos Aires, DF, Argentina; [Ciano, Nicolas] Ctr Reg Patagonia Sur INTA, RA-9100 Trelew, Chubut, Argentina; [Oliva, Gabriel; Ferrante, Daniela] INTA, EEA Santa Cruz, RA-9400 Rio Gallegos, Santa Cruz, Argentina; [Bran, Donaldo; Fantozzi, Anabella] Inst Invest Forestales & Agr Bariloche IFAB INTA, RA-8400 San Carlos De Bariloche, Rio Negro, Argentina; [Butti, Lucas] INTA, EEA Anguil, RA-6326 Anguil, La Pampa, Argentina; [Cariac, German; Echevarria, Daniela] INTA, EEA Valle Inferior Rio Negro Convenio Prov Rio Ne, RA-8500 Viedma, Rio Negro, Argentina; [Caruso, Cecilia; Opazo, Walter] INTA, EEA Esquel, RA-9200 Esquel, Chubut, Argentina; [Buono, Gustavo] INTA, EEA Chubut, RA-9100 Trelew, Chubut, Argentina; [Guirado, Emilio; Maestre, Fernando T.] Univ Alican... |
推荐引用方式 GB/T 7714 | Gaitan, Juan J.,Ciano, Nicolas,Oliva, Gabriel,et al. Temporal variations on NDVI predict temporal changes in vegetation cover across Patagonian drylands (Argentina)[J],2021,30(3). |
APA | Gaitan, Juan J..,Ciano, Nicolas.,Oliva, Gabriel.,Bran, Donaldo.,Butti, Lucas.,...&Maestre, Fernando T..(2021).Temporal variations on NDVI predict temporal changes in vegetation cover across Patagonian drylands (Argentina).ECOSISTEMAS,30(3). |
MLA | Gaitan, Juan J.,et al."Temporal variations on NDVI predict temporal changes in vegetation cover across Patagonian drylands (Argentina)".ECOSISTEMAS 30.3(2021). |
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