Effect of climate on tree growth in the Pampa biome of Southeastern South America: First tree-ring chronologies from Uruguay

Lucas, Christine; Puchi, Paulina; Profumo, Ludmila; Ferreira, A. S.; Muñoz, Ariel A.

doi:10.1016/j.dendro.2018.10.004

Cited by 10 publications

(20 citation statements)

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“…The dynamics of stem radial growth is limited by the double climatic stress of cold winters and hot summers in subtropical regions. In subtropical regions, summer climate is the key factor for tree radial increment [28]. The climate of China's subtropical region is characterized by East Asian monsoon, which is mild in winter and hot in summer.…”

Section: Effects Of Climate Factors On the Double-peaks Patternmentioning

confidence: 99%

“…However, it is considered an important vulnerable zone of climate change [27]. In subtropical regions, tree radial growth studies are considered main hot-spot research for understanding the climate-growth relationship [28]. Chinese fir (Cunninghamia lanceolata (Lamb.)…”

Section: Introductionmentioning

confidence: 99%

“…This fast-growing tree is able to survive in an environment with abundant annual precipitation and warm temperature [34]. For growth study in a subtropical region, radial growth of tree research is fundamental for understanding the climate-growth relationship, which can directly show the response of tree growth to climate change [28]. However, studies on the relationship between growth and climate factors have been mostly focused on inter-annual changes.…”

Section: Introductionmentioning

confidence: 99%

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Monthly Radial Growth Model of Chinese Fir (Cunninghamia lanceolata (Lamb.) Hook.), and the Relationships between Radial Increment and Climate Factors

Huang

Deng

Zhao

et al. 2019

Forests

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Chinese fir (Cunninghamia lanceolata (Lamb.) Hook) is the most commonly grown afforestation species in subtropical China. It is essential that we understand the response of radial tree growth to climate factors, yet most experiments have been conducted based on total annual growth and not on monthly dynamics, which alone can detail the influence of climatic factors. In this study, we aimed to: (i) construct a monthly growth model and compare the growth rate of different social statuses of trees, and (ii) determine the response of radial increments of different social statuses to climate factors. The radial growth was monitored monthly during four years using manual band dendrometers (MBD). The data were fitted using the Gompertz function. Within-stand differences in the social status of Chinese firs resulted in growing period and growth rate length variations. The radial growth began in March, and suppressed trees—especially groups of AS1 and BS1 (suppressed trees of classes I in sites A and B)—stopped in September, whereas dominant and intermediate trees were delayed and stopped in November. The periodic monthly increment curve showed double peaks, and the maximum growth rate occurred in April and August. The peak values were affected by social status, which showed that dominant trees had the greatest radial growth rates. S-shaped Gompertz meant that monthly increment models were successfully fitted to our data, which explained more than 98% of the variation in increment data and passed the uncertainty test. Temperature and precipitation had a significant influence on radial growth, and the correlation between radial growth and air temperature was the highest. Our results also revealed that temperatures explain the double-peak features of Chinese fir. The limiting factors of radial growth changed with the seasons and were mainly affected by temperature and precipitation, which should be considered in predicting the response of tree growth to climate change.

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Section: Effects Of Climate Factors On the Double-peaks Patternmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Monthly Radial Growth Model of Chinese Fir (Cunninghamia lanceolata (Lamb.) Hook.), and the Relationships between Radial Increment and Climate Factors

Huang

Deng

Zhao

et al. 2019

Forests

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“…Increases in precipitation over the SESA region have translated into important agricultural impacts, while the SESA region more generally is a vital agricultural area and relies heavily on hydroelectric power. Over the past several decades, Argentina's soy cultivation area increased by 210%, in large part because of increased precipitation that promoted crop production expansion into areas previously used for livestock (Magrin et al 2005;Baldi and Paruelo 2008;Barreiro et al 2014;Lucas et al 2018). Similarly, southern Brazil includes most of the country's irrigated crops and has been one of the most productive agricultural Denotes content that is immediately available upon publication as open access.…”

Section: Introductionmentioning

confidence: 99%

Gross Discrepancies between Observed and Simulated Twentieth-to-Twenty-First-Century Precipitation Trends in Southeastern South America

et al. 2021

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Southeastern South America (SESA; encompassing Paraguay, Southern Brazil, Uruguay, and northern Argentina) experienced a 27% increase in austral summer precipitation from 1902-2019, one of the largest observed trends in seasonal precipitation globally. Previous research identifies Atlantic Multidecadal Variability and anthropogenic forcing from stratospheric ozone depletion and greenhouse gas emissions as key factors contributing to the positive precipitation trends in SESA. We analyze multi-model ensemble simulations from Phases 5 and 6 of the Coupled Model Intercomparison Project (CMIP) and find that not only do Earth System Models simulate positive SESA precipitation trends that are much weaker over the historical interval, but some models persistently simulate negative SESA precipitation trends under historical forcings. Similarly, 16-member ensembles from two atmospheric models forced with observed historical sea surface temperatures never simulate precipitation trends that even reach the lower bound of the observed trend’s range of uncertainty. Moreover, while future 21st-century projections from CMIP6 yield positive ensemble mean precipitation trends over SESA that grow with increasing greenhouse-gas emissions, the mean forced response never exceeds the observed historical trend. Pre-industrial control runs from CMIP6 indicate that some models do occasionally simulate centennial-scale trends in SESA that fall within the observational range, but most models do not. Results point to significant uncertainties in the attribution of anthropogenically forced influences on the observed increases in precipitation over SESA, while also suggesting that internal decadal-to-centennial variability of unknown origin and not present in state-of-the-art models may have also played a large role in generating the 20th-21st-century SESA precipitation trend.

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“…Inicialmente, as pesquisas se concentravam nas árvores de espécies de clima temperado pela contrastante sazonalidade climática, mas nas últimas décadas árvores de diversas espécies tropicais se mostram potenciais para estudos de dendrocronologia, pela sua sensibilidade ao clima, demarcando anéis de crescimento anuais (DÉTIENNE, 1989;LISI et al, 2008;GROENENDIJK et al, 2015;LUCAS et al, 2018).…”

Section: Anéis De Crescimentounclassified

Aplicação dos anéis de crescimento - dendrocronologia - na reconstrução do crescimento do tronco de árvores de >i<Tectona grandis>/i< L.f., teca, de plantações dos estados do Mato Grosso e de São Paulo

Figueiredo¹

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Primeiramente gostaria de agradecer a Deus por todas as conquistas até hoje; Agradecer imensamente a meus pais, Adarli e Filomeno, pelo apoio, carinho, suporte e o desejo de ver meu sucesso e crescimento profissional;A Isabela Camargo, minha namorada e companheira, por toda ajuda, paciência, carinho e amor em todas as partes da vida; Ao meu orientador, Mario Tommasiello Filho, pela confiança, orientação e ensinamentos; Ao meu amigo Aparecido Candido Siqueira, por toda ajuda em todas as gauchadas que inventamos.Agradeço aos amigos e colegas de laboratório e de pós-graduação, que me auxiliaram em todas as etapas e, também, pela amizade que continua:

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Effect of climate on tree growth in the Pampa biome of Southeastern South America: First tree-ring chronologies from Uruguay

Cited by 10 publications

References 60 publications

Monthly Radial Growth Model of Chinese Fir (Cunninghamia lanceolata (Lamb.) Hook.), and the Relationships between Radial Increment and Climate Factors

Monthly Radial Growth Model of Chinese Fir (Cunninghamia lanceolata (Lamb.) Hook.), and the Relationships between Radial Increment and Climate Factors

Gross Discrepancies between Observed and Simulated Twentieth-to-Twenty-First-Century Precipitation Trends in Southeastern South America

Aplicação dos anéis de crescimento - dendrocronologia - na reconstrução do crescimento do tronco de árvores de >i<Tectona grandis>/i< L.f., teca, de plantações dos estados do Mato Grosso e de São Paulo

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