Reduced sensitivity of recent tree-growth to temperature at high northern latitudes

Briffa, Keith R.; Schweingruber, Fritz Hans; Jones, Phil; Shiyatov, S. G.; Ваганов, Е. А.

doi:10.1038/35596

Cited by 680 publications

(546 citation statements)

References 23 publications

Supporting

Mentioning

492

Contrasting

Unclassified

Order By: Relevance

“…In both situations, statistical relationships, which may represent linearizations of nonlinear processes (see section 2), are difficult to validate for long period processes and for times outside the instrumental era and may not hold for paleoclimate or climate change experiments. For example, the application of statistical calibrations to an independent time period with a fundamentally different climatic regime, for example, with comparable temperatures but a general shift in water balance, may consequently lead to an erroneous climate reconstruction [LaMarche et al, 1984;Graybill and Idso, 1993;Briffa et al, 1998;Vaganov et al, 1999;Barber et al, 2000;Kirdyanov et al, 2003;Anchukaitis et al, 2006]. Hence the nature of trees as a biological archive of environmental conditions raises questions about the validity of linear, statistical approaches to interpretation of the data.…”

Section: Introductionmentioning

confidence: 99%

A forward modeling approach to paleoclimatic interpretation of tree‐ring data

et al. 2006

Self Cite

View full text Add to dashboard Cite

[1] We investigate the interpretation of tree-ring data using the Vaganov-Shashkin forward model of tree-ring formation. This model is derived from principles of conifer wood growth, and explicitly incorporates a nonlinear daily timescale model of the multivariate environmental controls on tree-ring growth. The model results are shown to be robust with respect to primary moisture and temperature parameter choices. When applied to the simulation of tree-ring widths from North America and Russia from the Mann et al. (1998) and Vaganov et al. (2006) data sets, the forward model produces skill on annual and decadal timescales which is about the same as that achieved using classical dendrochronological statistical modeling techniques. The forward model achieves this without site-by-site tuning as is performed in statistical modeling. The results support the interpretation of this broad-scale network of tree-ring width chronologies primarily as climate proxies for use in statistical paleoclimatic field reconstructions, and point to further applications in climate science.

show abstract

Section: Introductionmentioning

confidence: 99%

A forward modeling approach to paleoclimatic interpretation of tree‐ring data

et al. 2006

Self Cite

View full text Add to dashboard Cite

show abstract

“…In a longer temporal context than the satellite period, tree-ring studies have shown that the growth of boreal trees in some cool and relatively moist northern locations has not continued to track rising temperature trends since around the 1960s, whereas they had previously shown positive responses to summer warming, such as in the early part of the 20th century [24][25][26]. This recent temporal change in the apparent positive response of tree growth to warming is known in the tree-ring community as the "divergence" phenomenon.…”

Section: Introductionmentioning

confidence: 99%

Temperature and Snow-Mediated Moisture Controls of Summer Photosynthetic Activity in Northern Terrestrial Ecosystems between 1982 and 2011

et al. 2014

View full text Add to dashboard Cite

Recent warming has stimulated the productivity of boreal and Arctic vegetation by reducing temperature limitations. However, several studies have hypothesized that warming may have also increased moisture limitations because of intensified summer drought severity. Establishing the connections between warming and drought stress has been difficult because soil moisture observations are scarce. Here we use recently developed gridded datasets of moisture variability to investigate the links between warming and changes in available soil moisture and summer vegetation photosynthetic activity at northern latitudes (>45 • N) based on the Normalized Difference Vegetation Index (NDVI) since 1982. Moisture and temperature exert a significant influence on the interannual variability of Remote Sens. 2014, 6 1391 summer NDVI over about 29% (mean r 2 = 0.29 ± 0.16) and 43% (mean r 2 = 0.25 ± 0.12) of the northern vegetated land, respectively. Rapid summer warming since the late 1980s (∼0.7 • C) has increased evapotranspiration demand and consequently summer drought severity, but contrary to earlier suggestions it has not changed the dominant climate controls of NDVI over time. Furthermore, changes in snow dynamics (accumulation and melting) appear to be more important than increased evaporative demand in controlling changes in summer soil moisture availability and NDVI in moisture-sensitive regions of the boreal forest. In boreal North America, forest NDVI declines are more consistent with reduced snowpack rather than with temperature-induced increases in evaporative demand as suggested in earlier studies. Moreover, summer NDVI variability over about 28% of the northern vegetated land is not significantly associated with moisture or temperature variability, yet most of this land shows increasing NDVI trends. These results suggest that changes in snow accumulation and melt, together with other possibly non-climatic factors are likely to play a significant role in modulating regional ecosystem responses to the projected warming and increase in evapotranspiration demand during the coming decades.

show abstract

“…On the other hand, since the growth and development of trees are affected by environmental factors, wood physical traits are inevitably affected by climatic and edaphic factors [17,18,43]. Analyses of GLM indicated that the relationships between climatic factors and wood physical properties were inconsistent after removing the effect of life form: wood density was more affected by temperature, dry shrinkage coefficient was more affected by precipitation, whereas resilience was affected by both temperature and precipitation.…”

Section: Factors Controlling Geographical Pattern Of Chinese Wood Phymentioning

confidence: 99%

“…A number of studies have reported the distribution, pattern of wood physical properties and their influencing factors on regional scale [1012, 18,19]. However, these studies generally focus on density and ignore other wood properties such as dry shrinkage coefficient, resilience and strength.…”

mentioning

confidence: 99%

Patterns and determinants of wood physical and mechanical properties across major tree species in China

Zhu

Shi

Fang

et al. 2015

Sci. China Life Sci.

View full text Add to dashboard Cite

The physical and mechanical properties of wood affect the growth and development of trees, and also act as the main criteria when determining wood usage. Our understanding on patterns and controls of wood physical and mechanical properties could provide benefits for forestry management and bases for wood application and forest tree breeding. However, current studies on wood properties mainly focus on wood density and ignore other wood physical properties. In this study, we established a comprehensive database of wood physical properties across major tree species in China. Based on this database, we explored spatial patterns and driving factors of wood properties across major tree species in China. Our results showed that (i) compared with wood density, air-dried density, tangential shrinkage coefficient and resilience provide more accuracy and higher explanation power when used as the evaluation index of wood physical properties. (ii) Among life form, climatic and edaphic variables, life form is the dominant factor shaping spatial patterns of wood physical properties, climatic factors the next, and edaphic factors have the least effects, suggesting that the effects of climatic factors on spatial variations of wood properties are indirectly induced by their effects on species distribution. wood density, shrinkage coefficient, resilience, geographic pattern, environmental factors Citation:Zhu JL, Shi Y, Fang LQ, Liu XE, Ji CJ. Patterns and determinants of wood physical and mechanical properties across major tree species in China.

show abstract

Reduced sensitivity of recent tree-growth to temperature at high northern latitudes

Cited by 680 publications

References 23 publications

A forward modeling approach to paleoclimatic interpretation of tree‐ring data

A forward modeling approach to paleoclimatic interpretation of tree‐ring data

Temperature and Snow-Mediated Moisture Controls of Summer Photosynthetic Activity in Northern Terrestrial Ecosystems between 1982 and 2011

Patterns and determinants of wood physical and mechanical properties across major tree species in China

Contact Info

Product

Resources

About