Artigo Revisado por pares

Landscape, soil and meteorological influences on canopy dynamics of northern flooding Pampa grasslands, Argentina

2005; Wiley; Volume: 8; Issue: 1 Linguagem: Inglês

10.1658/1402-2001(2005)008[0049

ISSN

1654-109X

Autores

Gabriela Posse, Martı́n Oesterheld, Carlos Marcelo Di Bella,

Tópico(s)

Tree-ring climate responses

Resumo

Applied Vegetation ScienceVolume 8, Issue 1 p. 49-56 Landscape, soil and meteorological influences on canopy dynamics of northern flooding Pampa grasslands, Argentina Gabriela Posse, Corresponding Author Gabriela Posse Instituto de Clima y Agua, CIRN, Instituto Nacional de Tecnología Agropecuaria (INTA) Las Cabañas y Los Reseros s/n, 1712 Castelar, Prov. Buenos Aires, Argentina Corresponding author: Fax: +54 1146215663; E-mail gposse@cnia.inta.govjar; http://www.intacya.org/staff/posse.htmSearch for more papers by this authorMartín Oesterheld, Martín Oesterheld IFEVA, Departamento de Ecología, Facultad de Agronomía, Universidad de Buenos Aires, Av. San Martín 4453,1417 Buenos Aires, Argentina; E-mail oesterhe@ifeva.edu.arSearch for more papers by this authorDi Bella, Di Bella Instituto de Clima y Agua, CIRN, Instituto Nacional de Tecnología Agropecuaria (INTA) Las Cabañas y Los Reseros s/n, 1712 Castelar, Prov. Buenos Aires, ArgentinaSearch for more papers by this authorCarlos Marcelo, Carlos Marcelo Instituto de Clima y Agua, CIRN, Instituto Nacional de Tecnología Agropecuaria (INTA) Las Cabañas y Los Reseros s/n, 1712 Castelar, Prov. Buenos Aires, Argentina IFEVA, Departamento de Ecología, Facultad de Agronomía, Universidad de Buenos Aires, Av. San Martín 4453,1417 Buenos Aires, Argentina; E-mail cdibella@cnia.inta.gov.arSearch for more papers by this author Gabriela Posse, Corresponding Author Gabriela Posse Instituto de Clima y Agua, CIRN, Instituto Nacional de Tecnología Agropecuaria (INTA) Las Cabañas y Los Reseros s/n, 1712 Castelar, Prov. Buenos Aires, Argentina Corresponding author: Fax: +54 1146215663; E-mail gposse@cnia.inta.govjar; http://www.intacya.org/staff/posse.htmSearch for more papers by this authorMartín Oesterheld, Martín Oesterheld IFEVA, Departamento de Ecología, Facultad de Agronomía, Universidad de Buenos Aires, Av. San Martín 4453,1417 Buenos Aires, Argentina; E-mail oesterhe@ifeva.edu.arSearch for more papers by this authorDi Bella, Di Bella Instituto de Clima y Agua, CIRN, Instituto Nacional de Tecnología Agropecuaria (INTA) Las Cabañas y Los Reseros s/n, 1712 Castelar, Prov. Buenos Aires, ArgentinaSearch for more papers by this authorCarlos Marcelo, Carlos Marcelo Instituto de Clima y Agua, CIRN, Instituto Nacional de Tecnología Agropecuaria (INTA) Las Cabañas y Los Reseros s/n, 1712 Castelar, Prov. Buenos Aires, Argentina IFEVA, Departamento de Ecología, Facultad de Agronomía, Universidad de Buenos Aires, Av. San Martín 4453,1417 Buenos Aires, Argentina; E-mail cdibella@cnia.inta.gov.arSearch for more papers by this author First published: 24 February 2005 https://doi.org/10.1111/j.1654-109X.2005.tb00628.xCitations: 13AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Abstract Question: How do meteorological variations at seasonal, interannual scales differentially affect the canopy dynamics of four contrasting landscape units within a region? Location: Flooding Pampa, Buenos Aires, Argentina. 5000 km2. Central point: 35°15′S, 57°45′W. Methods: We used a 19-year series of the normalized difference vegetation index (NDVI) derived from NOAA-AVHRR PAL (Pathfinder AVHRR Land) images and meteorological data provided by a nearby weather station. The NDVI was used as surrogate of canopy photosynthetic status. The relationship between annually integrated NDVI and meteorological conditions was explored by stepwise multiple regressions for each defined unit. PC A was performed to compare units and growing seasons on a multivariate basis. Results: Mean seasonal NDVI curve was similarly shaped among landscapes. However, the absolute values differed widely. There was high interannual variation so that the mean seasonal pattern was seldom observed in any particular year. Annually integrated NDVI of all landscapes was negatively associated with summer temperature and positively with previous year precipitation. It was also directly related with current year winter precipitation in two landscapes and with summer precipitation in the others. NDVI response to September and March precipitation accounted for some of the differences in interannual variation among landscapes. Conclusions: Our results revealed a strong intra-regional variation of canopy dynamics, closely linked to landscape (vegetation-soil) and water availability (mainly in summer and during the previous year). These links may be used to predict forage production rates for livestock. Citing Literature Volume8, Issue1May 2005Pages 49-56 RelatedInformation

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