Combined Effects of Precipitation and Temperature on the Responses of Forest Spring Phenology to Winter Snow Cover Dynamics in Northeast China

Qiao, Dejing; Zhou, Jianmin; Liang, Shuang; Fu, Xiouhua

doi:10.1109/access.2019.2943202

Cited by 10 publications

(7 citation statements)

References 62 publications

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“…The oxygen isotope values in volcanic areas are obviously biased and are distributed in the upper right of the precipitation line. This suggests that Changbai Mountain snowmelt water may serve as an additional source of recharge, indicating the possibility of other sources besides atmospheric precipitation (Qiao et al, 2019;Li et al, 2022;Strohmenger et al, 2022). With the increase in temperature and evaporation, the δ 18 O of snowmelt water becomes more and more abundant, the recharge elevation is high and the recharge path is long, which leads to the slow runoff process and intensifies the interaction between water and surrounding rock.…”

Section: Stable Isotopesmentioning

confidence: 99%

Hydrogeochemical characteristics and evaluation of groundwater resources of Jilin Province, China

Zeng,

Cui,

Zhou

et al. 2023

Front. Water

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As one of China's nine border provinces, Jilin Province is an important window for China's “Belt and Road” to open up to the north, and an important channel for China's foreign trade and foreign exchanges. Therefore, understanding hydrogeochemical characteristics is very important for effective water resources management in Jilin Province. A total of 64 groundwater samples were collected from 32 monitoring Wells in Jilin Province. Use of hydrogeochemical analysis techniques, WQI index and human health risk index methods to assess hydrogeochemical processes and groundwater quality, including the determination of hydrogeochemical parameters, conventional ions, trace elements and stable isotopes (δD and δ18O). The results show that the groundwater is slightly alkaline, the cations are mainly Na+, Ca2+, Mg2+, and K+, and the anions are mainly HCO3-, Cl−, and SO42-. Most of the groundwater samples belong to Ca-HCO3 and Na-HCO3 types, which are formed by the dissolution of calcite, dolomite, gypsum, silicates and carbonates. Stable isotope analysis shows that groundwater recharge in Jilin mainly comes from atmospheric precipitation at an altitude of 1,430~2,348 m. The strong correlation between trace elements indicates a common source. Most of the groundwater quality index (WQI) in the study area is Class I to Class III, and hazard quotient (HQ) and hazard index (HI) are both below 1. This indicates excellent water quality and minimal health risks associated with human consumption. It is worth noting that trace elements are enriched in the Tanlu fault zone. It provides scientific guidance for the utilization and allocation of groundwater resources in Jilin Province.

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Section: Stable Isotopesmentioning

confidence: 99%

Hydrogeochemical characteristics and evaluation of groundwater resources of Jilin Province, China

Zeng,

Cui,

Zhou

et al. 2023

Front. Water

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“…In comparison, the changes in SOS are even more pronounced in high-latitude regions. In Northeast China, the SOS exhibited a significant trend of advancement in deciduous coniferous forests (1.3 days yr −1 ), deciduous broadleaf forests (0.88 days yr −1 ), and grasslands (0.79 days yr −1 ) [14,15], while the SOS of rainfed cropland was significantly delayed (>30 days) [16].…”

Section: Introductionmentioning

confidence: 99%

“…Northeast China is situated within the high-latitude region of the country, with a maximum latitude of 53 • 33 N. It is the second-largest stable snow-covered region of China [32] and an important production base for agriculture, forestry, and husbandry. Many studies have focused on the response of SOS to climate factors such as temperature, precipitation, and radiation [15,31,[33][34][35], and some studies have also considered the response of SOS to other factors such as percent tree cover, urbanization, and cropland expansion [14,16,36], but they have not considered the effect of snow cover. Some studies have explored the impact of snow cover on SOS and they centered their attention on how snow phenology affects SOS, but they did not pay enough attention to the effect of snow characteristics, such as snow water equivalent (SWE) [37,38].…”

Section: Introductionmentioning

confidence: 99%

Unraveling Effect of Snow Cover on Spring Vegetation Phenology across Different Vegetation Types in Northeast China

Ren,

Zhang,

2023

Remote Sensing

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Snow cover has significantly changed due to global warming in recent decades, causing large changes in the vegetation ecosystem. However, the impact of snow cover changes on the spring phenology of different vegetation types in Northeast China remains unclear. In this study, we investigated the response of the start of the growing season (SOS) to different snow cover indicators using partial correlation analysis and stepwise regression analysis in Northeast China from 1982 to 2015 based on multiple remote sensing datasets. Furthermore, we revealed the underlying mechanisms using a structural equation model. The results show that decreased snow cover days (SCD) and an advanced snow cover end date (SCED) led to an advanced SOS in forests. Conversely, an increased SCD and a delayed SCED led to an advanced SOS in grasslands. The trends of SCD and SCED did not exhibit significant changes in rainfed cropland. The maximum snow water equivalent (SWEmax) increased in most areas. However, the proportion of the correlation between SWEmax and SOS was small. The impact of snow cover changes on the SOS varied across different vegetation types. Snow cover indicators mainly exhibited positive correlations with the SOS of forests, including deciduous broadleaf forests and deciduous coniferous forests, with positive and negative correlations of 18.61% and 2.58%, respectively. However, snow cover indicators mainly exhibited negative correlations in the SOS of grasslands and rainfed croplands, exhibiting positive and negative correlations of 4.87% and 13.06%, respectively. Snow cover impacted the SOS through the “temperature effect” in deciduous broadleaf forests, deciduous coniferous forests, and rainfed croplands, while it affected SOS through the “moisture effect” in grasslands. These results provide an enhanced understanding of the differences in snow cover changes affecting SOS in different vegetation types under climate change in Northeast China.

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“…Others have not considered the division of the region into distinct ecogeographical areas, hindering exploration of regional disparities (Zhao et al, 2016; Zheng et al, 2022). Moreover, many studies have focused on the relationship between the SOS and climate variables solely from two perspectives (Qiao et al, 2019; Tang et al, 2015): temperature and precipitation, neglecting the influence of solar radiation in controlling SOS. To comprehend the responding mechanism of spring phenology to climatic variation and its dynamic driving factors in the Greater Khingan Mountains better, a comprehensive evaluation of phenological characteristics over the last few decades is necessary.…”

Section: Introductionmentioning

confidence: 99%

Exploring the relative importance of preseason climatic drivers on spring phenology dynamics in the Greater Khingan Mountains, Northeast China

Fu,

Liu,

et al. 2023

Intl Journal of Climatology

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Exploring spring phenology dynamics driven by climate change is crucial for investigating land–climate feedback. However, a thorough assessment of the influence of climatic drivers on spring phenology remains lacking. Here, we investigated spatiotemporal variations at the start of the growing season (SOS) in the Greater Khingan Mountains, Northeast China, during 1982–2015 using the normalized difference vegetation index third‐generation dataset from Global Inventory Modelling and Mapping Studies. To investigate the influence of preseason climatic factors on the SOS, partial correlation analysis was employed to assess correlations as well as to identify dominant regional drivers. Overall, the SOS dates in the study area showed obvious regional characteristics from 1982 to 2015, with a gradual delay from north to south, with more than 90% of the SOS dates occurring from Julian days 125–140. Advancement trends were observed in all ecogeographical regions, thus accounting for 94.6% of the entire research area, with an average of 7.14 days in advance. The partial correlation analysis revealed spring phenology was most significantly influenced by preseason temperature, and temperature promoted the advancement of SOS in almost the entire study area, but for semi‐humid/semi‐arid regions, the effects of total precipitation was greatest. Interestingly, preseason radiation also dominated earlier SOS dates by a few pixels, albeit in a fragmented distribution. Generally, the preseason temperature had a prominent influence on the SOS dates across all ecogeographical regions, whereas the roles of preseason precipitation and radiation varied by region. In addition to analysing a single climatic factor, our study aimed to analyse the comprehensive impacts of climatic factors on spring phenological processes, with a focus on the composite effects, helping us to improve predictions of spring phenology and provide a better understanding of land–climate interactions.

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Combined Effects of Precipitation and Temperature on the Responses of Forest Spring Phenology to Winter Snow Cover Dynamics in Northeast China

Cited by 10 publications

References 62 publications

Hydrogeochemical characteristics and evaluation of groundwater resources of Jilin Province, China

Hydrogeochemical characteristics and evaluation of groundwater resources of Jilin Province, China

Unraveling Effect of Snow Cover on Spring Vegetation Phenology across Different Vegetation Types in Northeast China

Exploring the relative importance of preseason climatic drivers on spring phenology dynamics in the Greater Khingan Mountains, Northeast China

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