Dendroclimatic evaluation of climate-growth relationships of Meyer spruce ( Picea meyeri) on a sandy substrate in semi-arid grassland, north China

Liang, Eryuan; Shao, Xuemei; Hu, Yincui; Lin, Jinxing

doi:10.1007/s004680100097

Cited by 62 publications

(36 citation statements)

References 10 publications

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“…However, the average annual precipitation of 360 mm recorded at the meteorological stations is insufficient for maximum growth potential of trees in this study. The significant negative correlation of radial growth with mean temperatures and mean maximum temperatures during the growing season shows that higher temperatures indirectly limit the growth of trees via soil water evaporation and plant transpiration (Liang et al 2001). Soil water is primarily used by trees in this study from June to August, especially in July when temperatures are highest (Bai et al 2011).…”

Section: Tree-ring Climatic Responsementioning

confidence: 80%

Tree-ring based reconstruction of mean maximum temperatures since AD 1829

Shi

Gao

Yang

et al. 2013

The Forestry Chronicle

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The correlation between tree-ring widths and climate was developed using Pinus sylvestris var. mongolica after which mean maximum temperatures of June-July since 1829 were reconstructed. Results show that the transfer function of temperature explains more than 40% of the variance and that the reconstruction sequence was consistent with several reconstructed temperature variations in the region. Over the past 181 years, climate in the region has undergone eight distinct low temperature and eight high temperature periods. A high temperature period in the 1920s to 1930s is consistent with a drought that occurred in most regions of northern China. Periods of drought in the 1870s were also identified. There was no significant increase or decrease in mean maximum June-July temperatures over the last 181 years, although since the 1950s temperatures have increased gradually. A warming trend has become more pronounced since the early 1990s but temperature levels are not significantly higher than those of the 1850s. A multi-taper spectral analysis shows that there are significant periodicities of 2.4, 2.8, 4.9, 5.1 and 21.3 years in the sequence of reconstructed temperatures. Temperatures were also affected by global climate events and solar activity.

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Section: Tree-ring Climatic Responsementioning

confidence: 80%

Tree-ring based reconstruction of mean maximum temperatures since AD 1829

Shi

Gao

Yang

et al. 2013

The Forestry Chronicle

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“…In those years when the climate was extremely dry, such as 1928 and 1929, cambial activity was so inhibited that a locally absent ring occurred. Several studies in the semi-arid and arid areas of northern China all revealed that precipitation in the early growing season in May and June and soil water storage prior to tree growth is critical for tree growth (Liang et al, 2001;Liu and Ma, 1999;Zhang et al, 2003;Shao et al, 2005). A negative correlation between tree growth and temperature is also indicative of moisture limitation on tree growth in the study area (Liang et al, 2001;Shao et al, 2005).…”

Section: Climatic Signals Recorded In the New Tree-ring Chronologiesmentioning

confidence: 83%

The 1920S Drought Recorded by Tree Rings and Historical Documents in the Semi-Arid and Arid Areas of Northern China

et al. 2006

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Abstract. Using a network of tree-ring data, we show that there had been significant growth decline in the 1920s and early 1930s throughout a wide area of northern China. This growth depression is indicative of a severe and sustained drought in the 1920s and early 1930s, which was then confirmed with a variety of historical and instrumental records including hydrological, meteorological, and documentary evidence. The 1920s drought had a devastating effect not only on agricultural productivity, hydrological resources and society in the affected areas, but also on natural vegetation, as inferred from the tree-ring network and historical records. This research offers a picture of the drought calamity during the 1920s and early 1930s in northern China, and demonstrates the potential to identify spatial anomalies of large-scale drought using tree-ring networks in the semi-arid and arid areas of northern China.

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“…Throughout the XRC the abundance of C4 species in the steppe composition is relatively homogeneous (15-25 %, Auerswald et al, 2009). The growing season usually lasts from the end of May to late September (Liang et al, 2001).…”

Section: Study Areamentioning

confidence: 99%

Spatially explicit regionalization of airborne flux measurements using environmental response functions

et al. 2013

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Abstract. The goal of this study is to characterize the sensible (H) and latent (LE) heat exchange for different land covers in the heterogeneous steppe landscape of the Xilin River catchment, Inner Mongolia, China. Eddy-covariance flux measurements at 50–100 m above ground were conducted in July 2009 using a weight-shift microlight aircraft. Wavelet decomposition of the turbulence data enables a spatial discretization of 90 m of the flux measurements. For a total of 8446 flux observations during 12 flights, MODIS land surface temperature (LST) and enhanced vegetation index (EVI) in each flux footprint are determined. Boosted regression trees are then used to infer an environmental response function (ERF) between all flux observations (H, LE) and biophysical (LST, EVI) and meteorological drivers. Numerical tests show that ERF predictions covering the entire Xilin River catchment (&approx;3670 km2) are accurate to ≤18% (1 σ). The predictions are then summarized for each land cover type, providing individual estimates of source strength (36 W m−2 < H < 364 W m−2, 46 W m−2 < LE < 425 W m−2) and spatial variability (11 W m−2 < σH < 169 W m−2, 14 W m−2 < σLE < 152 W m−2) to a precision of ≤5%. Lastly, ERF predictions of land cover specific Bowen ratios are compared between subsequent flights at different locations in the Xilin River catchment. Agreement of the land cover specific Bowen ratios to within 12 &pm; 9% emphasizes the robustness of the presented approach. This study indicates the potential of ERFs for (i) extending airborne flux measurements to the catchment scale, (ii) assessing the spatial representativeness of long-term tower flux measurements, and (iii) designing, constraining and evaluating flux algorithms for remote sensing and numerical modelling applications.

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Dendroclimatic evaluation of climate-growth relationships of Meyer spruce ( Picea meyeri) on a sandy substrate in semi-arid grassland, north China

Cited by 62 publications

References 10 publications

Tree-ring based reconstruction of mean maximum temperatures since AD 1829

Tree-ring based reconstruction of mean maximum temperatures since AD 1829

The 1920S Drought Recorded by Tree Rings and Historical Documents in the Semi-Arid and Arid Areas of Northern China

Spatially explicit regionalization of airborne flux measurements using environmental response functions

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