Tree-ring Width Data Research Articles

Responses of radial growth of Juniperus przewalskii to different droughts over the northeastern Tibetan Plateau, China

To study the responses of radial growth of Juniperus przewalskii to climate factors of the different periods (pre-growing season (February-April), growing season (May-July)), and the vulnerability (resistance, RT; recovery, RC) of J. przewalskii to different drought events (precipitation, temperature and the both caused), we used tree ring width data of J. przewalskii from 17 sampling sites across the northeastern Tibetan Plateau to analyze the correlation between radial growth and climate factors of different periods, and the vulnerability in different drought events. The results showed that radial growth of J. przewalskii had significant positive correlation with drought index and negative correlation with temperature in the growing season (P<0.1). The vulnerability of J. przewalskii to drought events of different periods had significant difference. In the pre-growing season drought events, the RT of J. przewalskii at low altitude was 2.3% higher than that at high altitude, the RC of J. przewalskii at low altitude was 25.1% lower than that at high altitude. For drought events in the growing season, the RT of J. przewalskii at low altitude was 23.7% lower than that at high altitude, the RC of J. przewalskii at low altitude was 107.1% higher than that at high altitude. The mean RC(1.68) of J. przewalskii in precipitation-caused drought events was strong, while the mean RT(1.43) of J. przewalskii in temperature-caused drought events was strong. The growth of J. przewalskii, especially for that at low altitude, would be largely limited by drought caused by global warming in the future.

Wood Anatomical Traits Respond to Climate but More Individualistically as Compared to Radial Growth: Analyze Trees, Not Means

Wood encodes environmental information that can be recovered through the study of tree-ring width and wood anatomical variables such as lumen area or cell-wall thickness. Anatomical variables often provide a stronger hydroclimate signal than tree-ring width, but they show a low tree-to-tree coherence. We investigate the sources of variation in tree-ring width, lumen area, and cell-wall thickness in three pine species inhabiting sites with contrasting climate conditions: Pinus lumholtzii in wet-summer northern Mexico, and Pinus halepensis and Pinus sylvestris in dry-summer north-eastern Spain. We quantified the amount of variance of these three variables explained by spring and summer water balance and how it varied among trees. Wood anatomical variables accounted for a larger inter-individual variability than tree-ring width data. Anatomical traits responded to hydroclimate more individualistically than tree-ring width. This individualistic response represents an important issue in long-term studies on wood anatomical characteristics. We emphasized the degree of variation among individuals of the same population, which has far-reaching implications for understanding tree species’ responses to climate change. Dendroclimatic and wood anatomical studies should focus on trees rather than on the mean population series.

Radial Growth of Trees Rather Than Shrubs in Boreal Forests Is Inhibited by Drought.

Of all forest biomes, boreal forests are experiencing the most significant warming. Drought caused by warming has a dramatic impact on species in boreal forests. However, little is known about whether the growth of trees and shrubs in boreal forests responds consistently to warming and drought. We obtained the tree-ring width data of 308 trees (Larix gmelinii and Pinus sylvestris var. mongolica) and 133 shrubs (Pinus pumila) from 26 sites in northeastern China. According to the climate data from 1950 to 2014, we determined three extreme drought years (1954, 1967, and 2008). The response difference of radial growth of trees and shrubs in boreal forests to drought was compared using resilience index, moving correlation and response analysis. The results showed that high temperature (mean and maximum temperature) in previous and current growing seasons promoted the growth of P. pumila, but inhibited the growth of trees. On the contrary, wetter conditions (higher PDSI) promoted tree growth but were not conducive to P. pumila growth in high latitudes. Moving correlation analysis showed similar results. In addition, water deficit was more likely to inhibit P. pumila growth in low latitudes. The drought resistance of P. pumila was stronger than that of L. gmelinii and P. sylvestris var. mongolica. Therefore, the growth loss and recovery time of P. pumila during drought was less than those of trees. We concluded that L. gmelinii and P. sylvestris var. mongolica are more prone to growth decline than P. pumila after the drought caused by climate warming. In the future climate warming, shrub growth may benefit more than trees. Our findings are of great significance in predicting the future changes in ecosystem composition and species distribution dynamics in extreme climate susceptible areas.

Climate change increased the intrinsic water use efficiency of Larix gmelinii in permafrost degradation areas, but did not promote its growth

The degradation of permafrost caused by climate warming accelerates the infiltration and evaporation of water, destroys the hydrological system, and increases the drought stress of boreal forests. However, how climate warming and permafrost degradation affect intrinsic Water Use Efficiency (iWUE) and tree growth is not fully understood. Using tree-ring width and stable carbon isotope composition (δ13C) data, we analyzed the growth and iWUE of Larix gmelinii on slopes and gullies in three different permafrost degradation areas in Daxing'an Mountains, China. The results showed that the iWUE of L. gmelinii increased significantly in all areas from 1900 to 2015. Radial growth and the ratio of intercellular (Ci) and ambient (Ca) CO2 concentration was significantly negatively correlated with temperature and positively correlated with Palmer Drought Severity Index (PDSI) in severe degradation permafrost areas. Meanwhile, radial growth (basal area increment, BAI) has decreased significantly in recent 40 years, and the decline rate of radial growth in slope topographies was higher than that in gully topographies. Growing season temperature was generally positively correlated with iWUE, but negatively correlated with the radial growth of L. gmelinii. The increase of iWUE was negatively correlated with the radial growth of L. gmelinii. The response of BAI, iWUE, and Ci/Ca to temperature rise and water change was weak in the mild degradation area, and radial growth still increased. In severe and moderate degradation areas, tree physiology (iWUE and Ci/Ca) was driven by temperature and PDSI, indicating that L. gmelinii adopted a conservative water-saving stomatal strategy, and increasing iWUE did not promote tree growth. Although the water use efficiency of L. gmelinii in the southern edge of permafrost area increased with the increase in temperature, it may face more serious drought stress and growth decline in the future.

Combining tree-ring width and carbon isotope data to investigate stem carbon allocation in an evergreen coniferous species

Carbon allocation in tree stems critically affects how trees respond to climate variability and extreme weather. However, it is difficult to directly measure nonstructural carbohydrates in tree stems, and monitoring them over time is expensive and usually lasts only a few years at most. Hence, we utilized a method substituting nonstructural carbohydrates with the basal area increment (BAI) and intrinsic water-use efficiency (iWUE) to study tree stem carbon allocation. The results indicated that the values of the RAW (BAI-based tree-ring width index) and iWUEres (iWUE residual serial) in the current year could reveal information about early growing season climatic conditions. Thus, coniferous species might utilize carbon produced by photosynthesis during the early growing season to support tree growth. Wet years caused the RAW in the next year to significantly increase, and the RAW in drought years showed a significant correlation with the iWUEres in the previous year, while the RAW in the next year showed little correlation with the iWUEres in the current year. These results suggested that favourable climatic conditions could stimulate the accumulation of carbon, which promoted radial growth in the following year. In addition, drought in semiarid areas has a 1–3-year legacy effect on tree growth, suppressing the growth rate below the normal rate. The decline in tree growth was most noticeable in the year after drought, suggesting that inter-annual allocation of carbon reserves is a long-term process, yet trees prioritize using the newest carbon source for growth during adjacent years. This study broadens the understanding of nonstructural carbohydrates and their supply in evergreen coniferous species and has important implications for forest climate–carbon cycle models under changing climates.

Modelling and reconstructing tree ring growth index with climate variables through artificial intelligence and statistical methods

Climate variables play an important role in the increase of tree ring width (TRW), which is one of the primary paleoclimate signals. In this study, we apply new methods for understanding tree growth responses to climate variables under anthropogenic climate change. This study uses regression and artificial intelligence (AI) modelling techniques to develop a model describing the relationships between climate variables and the tree ring standardised growth index (TRSGI) in northeast South Korea. We examined data from 1901 to 1998, and then used data from 1999 to 2019 to reconstruct the TRSGI. This study comprised four major steps. In the first step, we evaluated the performance of the Climate Reach Unit (CRU) TS4.03 in comparison to synoptic station in situ data by using three well-known bias correction methods, namely delta, quantile mapping, and empirical quantile mapping. CRU TS4.03 obtained the highest cross-correlation coefficients (r2 > 0.90) within the synoptic station data. In the second step, different temperatures, precipitation, vapour pressure, and two drought indices were analysed using TRSGI. In the third step, the Mann-Kendall test was run to detect climate and TRSGI data trends, and it showed that all variables had increasing trends at a significance level of 0.05 during 1901–1998. Finally, in the fourth and final step, by selecting the most significant factors from the statistical tests, four models were developed: multiple linear regression (MLR), stepwise regression (SR), nonlinear autoregressive with exogenous input (NARX), and NARX de-noised wavelet, the last of which was a model we developed by combining NARX and de-noised wavelet models. The results indicated that MLR with r = 0.44 (p < 0.003) and SR with r = 0.27 (p < 0.001) were not strong enough to reconstruct TRSGI. In contrast, the NARX de-noised model (r = 0.80) performed better than the NARX model (r = 0.78), showing highly similar trends to the observed TRSGI in the case study area. This research highlights the high performance of AI approaches for modelling TRW data in comparison to regression models. AI techniques may improve the accuracy of climate variable estimations and reconstructions that use TRW data. The presented artificial neural network method has the potential to be a highly effective method for TRW studies.

The Radial Growth of Picea wilsonii Was More Restricted by Precipitation Due to Climate Warming on Mt. Guandi, China

Transitional climate zones (TCZ) are characterized by instability due to rapid changes in climate and biological variables, and trees growing there are particularly sensitive to climate change. Therefore, knowledge about the shifted relationships of tree growth in response to climate warming will shape regional forest conservation and management strategies. China has experienced rapid warming in recent decades. However, how tree growth in semihumid to semiarid regions, such as the Guandi Mountains, responds to more sophisticated changes in the hydrothermal combination is not yet clear. In this study, we used tree-ring width data from three sites along an elevational gradient in the Guandi Mountains to present the response of Picea wilsonii Mast. radial growth to increasing temperature and elevational differences in the relationship between tree growth and climate. The results indicated that the Guandi Mountains have experienced rapid warming with a clear trend toward aridity. From 1959 to 1995, the radial growth of P. wilsonii was mainly influenced by temperature, while it was controlled by both temperature and precipitation after rapid warming in 1996. From 1959 to 2017, this species showed a generally consistent growth–climate relationship at different elevations in the Guandi Mountains. However, the radial growth of trees at higher elevations had a higher climatic correlation than at lower elevations, and it was more conditioned by higher summer temperatures and precipitation in December of the previous year. These results suggested that P. wilsonii was more susceptible to drought and high temperatures due to a warming climate and that more attention should be devoted to forest management, especially the adverse consequences of summer drought on P. wilsonii.

The majority of tree growth on the monsoonal Tibetan Plateau has benefited from recent summer warming

The Tibetan Plateau (TP) is characterized by the world's highest timberlines, largest altitudinal range of forest distribution, and high warming rates. Whether the growth of most forests benefits from climate warming or is inhibited by warming-induced drought stress is still under debate. To understand this question, we collected tree-ring width (TRW) data from 6762 trees at 203 sites that contain 12 genera over the monsoonal TP (MTP) with an elevation range between 975 and 4478 m a.s.l. All sites were equally split into four transects along their altitudinal ranking. The mean tree growth rate (MTGR) of each transect was developed by assembling standardized TRW records. Our results suggest that MTGRs of the upper three transects (2992–4478 m) were stimulated by an increase in the summer (May-September) minimum temperature and have experienced unprecedented high values since the 1980s over the past three to four centuries. In contrast, warming-associated drought stress resulted in a sharp growth drop and minimum MTGR in the lowest transect (975–2970 m) during the 2000s, which was most pronounced in the Himalayan Mountains. We conclude that the majority of tree growth on the MTP has benefited from recent summer warming. The results are robust regardless of using alternative detrending methods, but still could be susceptible to the small replications of some species, outdated end years, oversimplification of the regional climate conditions, and varying growth response within each transect.

Tree-Ring Width Data of Tsuga longibracteata Reveal Growing Season Temperature Signals in the North-Central Pearl River Basin since 1824 AD

Concerning the ecological and economical importance of the Pearl River basin, short-term climate changes have been widely studied by using the instrumental records in the basin, but there is still a lack of long-term climatic reconstructions that can be used to evaluate the centennial scale climate anomalies. Here, we present a 237-year tree-ring width chronology from Tsuga longibracteata in the north-central Pearl River basin, with reliable coverage from 1824 to 2016. Based on the significant relationship between tree growth and mean temperature from the previous March to the previous October, we reconstructed the previous growing season (pMar-pOct) temperatures for the past 193 years, with an explained variance of 43.3% during 1958–2016. The reconstruction reveals three major warm (1857–1890, 1964–1976, and 1992–2016) and cold (1824–1856, 1891–1963, and 1977–1991) periods during 1824–2016. Comparison with other temperature sensitive proxy records from nearby regions suggests that our reconstruction is representative of large-scale temperature variations. Significant correlations of tree growth with the sea surface temperatures (SSTs) in the western Pacific Ocean, northern Indian Ocean, and Atlantic Ocean suggest that SST variability in these domains may have strongly influenced the growing season temperature change in the Pearl River basin.

Precipitation variation since 1748 CE in the central Lesser Khingan Mountains, Northeast China

Inter-annual variations of precipitation play important roles in forest management and agricultural production. This study presents a 270-year precipitation reconstruction of winter to early growing season for the central Lesser Khingan Mountains, Northeast China based on tree-ring width data of 99 tree-ring cores of Korean pine from two sampling sites near Yichun city. The reconstruction explained 46% of the variance in precipitation from the previous October to current June during the calibration period CE 1959–2017. At decadal scale, we identified four dry periods that occurred during CE 1748–1759, 1774–1786, 1881–1886 and 1918–1924, and four wet periods occurring during CE 1790–1795, 1818–1824, 1852–1859 and 2008–2017, and the period CE 2008–2017 was the wettest in the past 270 years. Power spectral analysis and wavelet analysis revealed cyclic patterns on the inter-annual (2–3 years) and inter-decadal (~11 and ~30–60 years) timescales in the reconstructed series. In addition, the Asian polar vortex has an important effect on the precipitation in our study area.

The European Beech Annual Tree Ring Widths Time Series, Solar–Climatic Relationships and Solar Dynamo Regime Changes

In this study, the results from the analysis of annual ring widths (‘Dm’) time series of two “very sensitive” to the climate and solar–climate relationships of long lived European beech (Fagus sylvatica) samples (on age of 209 ± 1 and 245 ± 5 years correspondingly) are discussed. Both series are characterized by very good expressed and relating to the solar magnetic Hale cycle 20–22-year oscillations. A good coincidence between the changes of ‘Dm’ and the growth or fading of the solar magnetic cycle is found. The transition effects at the beginning and ending of the grand Dalton (1793–1833) and Gleissberg minima (1898–1933) are very clearly visible in the annual tree ring width data for the one of beech samples. Some of these effects are also detected in the second sample. The problem for the possible “lost” sunspot cycle at the end of 18th century is also discussed. A prediction for a possible “phase catastrophe” during the future Zurich sunspot cycles 26 and 27 between 2035–2040 AD as well as for general precipitation upward and temperature fall tendencies in Central Bulgaria, more essential after 2030 AD, are brought forth.

Reconstruction of pre-monsoon relative humidity since 1800 C.E. based on tree-ring data of Pinus roxburghii Sarg. (chir–pine) from Pithoragarh, Western Himalaya

Relative humidity (RH), an important climatic element influencing tree growth, is also crucial in assessing the General Circulation Models (GCMs) on global warming. However, in the absence of a relatively long record of RH in the Himalayan region, precise modelling of the climate change related processes and their impacts on this region are not well established. Here we present a new RH reconstruction for the pre-monsoon months (February–May) starting from 1800 C.E. using the tree-ring width data of subtropical Pinus roxburghii (chir-pine) from Pithoragarh, Western Himalaya, India. We found significant positive correlation between tree growth and pre-monsoon RH (n = 67, r = +0.569, p < 0.001). Based on this relationship, the developed linear regression model explains 32.5% of the total variance during the calibration period from 1949 to 2015 C.E. The region experienced 28 high and 25 low humidity years over the past 215 years. The five highest and three lowest humidity years were identified as 1831, 1836, 1881, 1977, 1982 and 1939, 1999, 2013 C.E. Further, we found a declining trend in RH during the past 35 years. This decline in RH over the Himalaya indicates that the global warming is not evident as expected by the climate modellers. The reliability of the reconstructed data is validated by the significant positive correlation with column water vapour/relative humidity gridded data of ERA-interim (850 mb) for 1979–2015 C.E. over the Himalayan region. Further, a consistent and significant positive relation with precipitation and a negative correlation with temperature over this region confirm the reliability of the reconstructed RH data. Spectral analysis reveals the existence of periodicities of 2–10 years, which may be linked with effects of El-Nino-Southern Oscillation (ENSO) over the India subcontinent.

Climate sensitivity and drought seasonality determine post-drought growth recovery of Quercus petraea and Quercus robur in Europe

Recent studies have identified strong relationships between delayed recovery of tree growth after drought and tree mortality caused by subsequent droughts. These observations raise concerns about forest ecosystem services and post-drought growth recovery given the projected increase in drought frequency and extremes. For quantifying the impact of extreme droughts on tree radial growth, we used a network of tree-ring width data of 1689 trees from 100 sites representing most of the distribution of two drought tolerant, deciduous oak species (Quercus petraea and Quercus robur). We first examined which climatic factors and seasons control growth of the two species and if there is any latitudinal, longitudinal or elevational trend. We then quantified the relative departure from pre-drought growth during droughts, and how fast trees were able to recover the pre-drought growth level. Our results showed that growth was more related to precipitation and climatic water balance (precipitation minus potential evapotranspiration) than to temperature. However, we did not detect any clear latitudinal, longitudinal or elevational trends except a decreasing influence of summer water balance on growth of Q. petraea with latitude. Neither species was able to maintain the pre-drought growth level during droughts. However, both species showed rapid recovery or even growth compensation after summer droughts but displayed slow recovery in response to spring droughts where none of the two species was able to fully recover the pre-drought growth-level over the three post-drought years. Collectively, our results indicate that oaks which are considered resilient to extreme droughts have also shown vulnerability when droughts occurred in spring especially at sites where long-term growth is not significantly correlated with climatic factors. This improved understanding of the role of drought seasonality and climate sensitivity of sites is key to better predict trajectories of post-drought growth recovery in response to the drier climate projected for Europe.

Detecting tropical cyclones from climate- and oscillation-free tree-ring width chronology of longleaf pine in south-central Georgia

The knowledge of past tropical cyclone (TC) activity is vital to understanding patterns of current and future TCs and how they will impact society, infrastructure, and the natural system. Various historical, biological, and geological proxies are commonly used to reconstruct TC behavior; however, these records vary significantly in their temporal resolution. Tree rings are known to provide high-resolution data and have been proven as a valuable proxy record of past TC activity. Here we aim to produce a TC reconstruction based on tree-ring width data of longleaf pine (Pinus palustris Mill.) located in Lake Louise near Valdosta, Georgia. Results of growth-climate analysis showed that all climate and oscillation variables influence the tree growth, and removing this climate influence may be necessary to unmask the TC signal. For this purpose, we used stepwise linear regression to iteratively model tree growth with monthly climate factors (precipitation, temperature, drought) and monthly oscillation indices (ENSO, AMO, NAO, PDO) to obtain residual chronologies. Tree-ring chronologies were compared to TC data from the National Hurricane Center's North Atlantic Hurricane Database (HURDAT2) for a 150-km buffer zone around Lake Louise between 1894 and 1999. Of the storms that entered the buffer, 13 of the 17 ≤−0.3 growth rings and 8 of the 10 ≤−0.4 growth rings occurred in the year directly after a TC event. Our results revealed the strong climate and oscillation influence in the raw chronology and no significant TC signal. However, the removal of temperature and precipitation influence from raw chronology unmasked the TC signal (p < 0.05). The TC signal was even more pronounced if influence of oscillation indices on growth had been also removed. The most pronounced TC signal was identified between most intense TCs (≥ 33 ms−1) and the climate and oscillation signal-free chronology. We emphasize that future research is needed for validation and elimination of the influence of other external growth drivers, as well as replication studies at multiple sites using similar statistical applications.

A Tree-Ring-Based Precipitation Reconstruction since 1760 CE from Northeastern Tibetan Plateau, China

Hydroclimatic conditions and related water resources change in the Tibetan Plateau is one of the main concerns for future sustainable development in China. This study presents a 254-year precipitation reconstruction from August of the previous year to June of the current year for the northeastern Tibetan Plateau based on tree-ring width data of tree-ring cores of Picea crassifolia from three sampling sites. The precipitation reconstruction explained 51.4% of the variance in instrumental precipitation during the calibration period 1958–2013. Dry periods with precipitation below the 254-year average value occurred during 1848–1865, 1873–1887, 1898–1923, and 1989–2003, and wet periods (precipitation above the mean) occurred during 1769–1785, 1798–1833, 1924–1938, 1957–1968, and 2004–2013. Spatial correlation analyses with the precipitation gridded dataset showed that our reconstruction contains some strong regional-scale precipitation signals for the upper Yellow River Basin. Our precipitation reconstruction also agreed in general with other dendroclimatic precipitation reconstructions from surrounding regions. In addition, reconstructed precipitation changes were consistent with the streamflow variation of the Yellow River.

El Niño-Southern Oscillation modulates insect outbreaks in humid subtropical China: Evidences from tree rings and carbon isotopes

Insect outbreaks are key disturbances triggering decline episodes in humid subtropical evergreen forests in eastern China. However, their long-term variability and linkages to climate are still unclear largely due to the shortness of records reporting forest damage. A retrospective approach would improve our understanding of long-term outbreak variability and its dependence on climate and relevant atmospheric circulation patterns such as the El Niño-Southern Oscillation (ENSO). This study provides a dendrochronological reconstruction of Dendrolimus punctatus outbreaks affecting Pinus massoniana in humid subtropical eastern China. We used tree-ring width and carbon isotope data from sites where outbreaks were or not were reported for the past fifty years, here considered as host and non-host sites, respectively. The results showed that inter-annual changes in carbon isotope discrimination are more sensitive to outbreaks than changes in tree-ring width. Based on carbon isotopes, we inferred that photosynthetic rates increased as a compensatory mechanism in response to insect defoliation. We reconstructed eleven insect outbreaks since 1915, which corresponded to ENSO positive phases and below-average sea surface temperatures in the central and eastern tropical Pacific Ocean. These conditions correspond to “La Niña” episodes which induce hot and dry climate conditions across the study region and these may facilitate the occurrence of D. punctatus outbreaks.

The frequency and severity of past droughts shape the drought sensitivity of juniper trees on the Tibetan plateau

The resistance of forests to extreme climatic events such as drought shapes their sensitivity to future extreme events in space and time. To a large extent, the ability of trees to learn from prior droughts explains how trees adjust their sensitivity to water deficit. We use tree-ring width data collected from 1565 juniper trees (Juniperus prezwalskii and Juniperus tibetica) across 57 sites on the Tibetan Plateau to model tree resistance to water deficit and to map drought sensitivity across the species’ distribution. We test the effect of both the frequency and severity of drought on the drought memory of trees. We find that trees at mid-latitudes and in the northwestern part of the juniper distribution range exhibit higher drought sensitivity. Water deficit is the main factor controlling tree resistance and thus affects spatial sensitivity to drought. At wetter sites, higher drought frequency enhances tree adaptability through ecological memory, thereby promoting tree resistance and decreasing tree sensitivity to extreme drought events. At drier sites, higher drought frequency causes junipers’ growth decline that is not beneficial for tolerance to extreme drought events. Regional drought conditions and the frequency of pre-droughts affect tree resistance and sensitivity to extreme drought events. This explains the spatial pattern of drought risk for juniper forests on the Tibetan Plateau, and helps us to better understand the vulnerability of this high-elevation forest ecosystem. Such information is important for maintaining forest health and informing the sustainable development of the Tibetan Plateau under a changing climate.

Relationship between phenology of vegetation canopy and phenology of tree cambium in Helan Mountains, China.

Based on 98 Chinese pine (Pinus tabuliformis) tree-ring width data, normalized diffe-rence vegetation index (NDVI) data and land cover data in the Helan Mountains, we used VS-oscilloscope model to simulate the radial growth process of Chinese pine and to examine the relationship between vegetation canopy phenology and tree cambium phenology. Results showed that the end of season (EOS) of the vegetation canopy was significantly correlated with the EOS of the Chinese pine cambium. Such correlation was stronger than that between grassland and cambium. The start of season (SOS) and EOS of Chinese pine were related to the averaged minimum temperature in May-June and August-September, respectively. When the average minimum temperature in May-June increased by 1 ℃, SOS would be advanced by 4.3 days. The averaged minimum temperature in August-September increased by 1 ℃, EOS would be delayed by 2.6 days. The correlation between the phenology of vegetation canopy and the phenology of the cambium in Chinese pine differed among vegetation types. Simulating tree growth dynamics only through a tree-ring physiology model might lead to biased results. Using remote sensing monitoring data to combine canopy development and cambium growth would help to more accurately understand tree growth dynamics.

Isotopic responses to dry and wet episodes as captured in tree rings of southern Altai relict forests

Rising air temperature, changes in the hydrological cycle and atmospheric circulation patterns are leading to increasing extreme events affecting human and forests worldwide. Altai relict forests are under the risk of degradation under the recent warming. Investigations of climatic impacts on the southern Siberian forest, where temperature is not the main limiting growth factor are still rare and urgently needed. Therefore, we aim to reveal and evaluate the impact of recent extreme climatic events (1919–2019) on relict larch trees (Larix sibirica Ldb.) from two contrasting sites in the Russian Altai (Ersin—HO and Chadan—CH). Application of the state-of-the-art methods of stable isotope and tree-ring analyses is very promising in this region due to high sensitivity of trees to temperature and precipitation changes. We found site-specific differences (ca. 4‰) recorded in newly developed centennial stable carbon (δ13C) and oxygen (δ18O) isotope chronologies, showing their climate sensitivity and reflecting the contrasting conditions at the dry (HO) and wet (CH) sites. The most extreme drought anomalies (σ ≥ + 3σ) over the past 100 years (1919–2019) were revealed for the HO-site in 1935 and 2018. In contrast, a wet extreme anomaly (σ = − 2.7σ) was detected for the CH site only in 1994. Moreover, trees from the CH-site are receiving a greater amount of precipitation during the summer months, especially for the years with extremes σ ≥ − 2σ (1939, 1948, 1958, 1994, 2000, and 2019). Divergent δ13C and intrinsic water-use efficiency trends after the 1980s indicate increasing drought stress at the HO- compared to the CH-site, which is confirmed by changes in the running correlation between the isotopes and comparison with declining tree-ring width data. Drought or flooding extremes are recorded heterogeneously at the two study sites in southern Altai, indicating dependence from local habitats, type of soils and freezing active soil depths. Recent climate change affected both forest and humans as public and agricultural sectors are suffering from recent droughts or flooding events. To provide measures and apply mitigation plans for the unique relict forest and public sector, our reconstruction of past anomaly events in this region is important and helpful to predict future climate changes.

Response of radial growth of Pinus sylvestriformis and Picea jezoensis to climate warming in the ecotone of Changbai Mountain, Northeast China

Changbai Mountain is a typical distribution area of temperate coniferous and broad-leaved mixed forests, with significant influence of global climate change. In order to understand the responses of forest ecosystem to climate change, we examined the responses of dominant arbor species in the community ecotone of broad-leaved Korean pine forest and spruce-fir forest (also known as dark coniferous forest), Pinus sylvestriformis and Picea jezoensis. The standard chronologies were established by obtaining tree ring width data in order to identity the key climatic factors that confine the radial growth of both species. The responses of P. sylvestriformis and P. jezoensis to climate factors were different.P. sylvestriformis was more sensitive than P. jezoensis, indicating that P. sylvestriformis was more suitable for dendroclimatological analysis. The radial growth of P. sylvestriformis was consistent with the increases of mean temperature, while the radial growth of P. jezoensis showed a "divergence problem" which decreased with the increases of mean temperature. The radial growth of P. sylvestriformis was mainly limited by temperature, especially the mean temperature in last July and August and current September. However, there was a negative correlation between standard chronologies of P. jezoensis and mean temperature in most months, which was limited by both temperature and precipitation. The correlation between radial growth of both species and climate factors after sudden temperature rise, was weaker than that before sudden temperature rise. The correlation between radial growth and climate factors changed from positive to negative in some months. Current temperature rise might not exceed the critical threshold of the radial growth of P. sylvestriformis, which could promote the radial growth. In addition, the wavelet analysis showed that the radial growth of trees in this area might be affected by large-scale coupling effects of atmospheric-ocean-land changes. In conclusion, climate warming was beneficial to the radial growth of P. sylvestriformis, while drought stress caused by warming was the main factor limiting the radial growth of P. jezoensis. If the global temperature continues to increase in the future, it will have an adverse impact on P. jezoensis. The results would help improve our understanding of the responses of radial growth of P. sylvestriformis and P. jezoensis to future climate change, and provide some basic data for climate reconstruction using both species.