A comprehensive analysis of phenological changes in forest vegetation of the Funiu Mountains, China

Zhu, Wenbo; Zhang, Xiaodong; Zhang, Jingjing; Zhu, Lianqi

doi:10.1007/s11442-019-1588-z

Cited by 17 publications

(10 citation statements)

References 28 publications

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“…As synergies go, this was positive feedback for the regional warming. Because there might be time lags in the correlation between vegetation and climate [21,48], we considered lags in our analysis of the correlation between albedo and temperature/precipitation, and our results confirmed this hypothesis (Table 4). The negative correlation was strong for albedo (August) and precipitation (July) (i.e., time lags of one month).…”

Section: Discussionsupporting

confidence: 72%

“…Slope > 0 indicated that the albedo on the QTP was increasing trend; otherwise, it was decreasing trend. Then, we used Pearson product-moment correlation coefficient to examine the relationship between annual albedo and temperature/precipitation on the QTP [21]. We calculated the correlation coefficient between the average annual albedo and temperature/precipitation.…”

Section: Methodsmentioning

confidence: 99%

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The Impact of Climate Change on the Surface Albedo over the Qinghai-Tibet Plateau

et al. 2021

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Albedo is a characterization of the Earth’s surface ability to reflect solar radiation, and control the amount of solar radiation absorbed by the land surface. Within the context of global warming, the temporal and spatial changes of the albedo and its response to climate factors remain unclear. Based on MCD43A3 (V005) albedo and meteorological data (i.e., temperature and precipitation), we analyzed the spatiotemporal variations of albedo (2000–2016) and its responses to climate change during the growing season on the Qinghai-Tibet Plateau (QTP). The results indicated an overall downward trend in the annual albedo during the growing season, the decrease rate was 0.25%/decade, and the monthly albedo showed a similar trend, especially in May, when the decrease rate was 0.53%/decade. The changes also showed regional variations, such as for the annual albedo, the areas with significant decrease and increase in albedo were 181.52 × 103 km2 (13.10%) and 48.82 × 103 km2 (3.52%), respectively, and the intensity of albedo changes in low-elevation areas was more pronounced than in high-elevation areas. In addition, the annual albedo-temperature/precipitation relationships clearly differed at different elevations. The albedo below 2000 m and at 5000–6000 m was mainly negatively correlated with temperature, while at 2000–4000 m it was mainly negatively correlated with precipitation. The contemporaneous temperature could negatively impact the monthly albedo in significant ways at the beginning of the growing season (May and June), whereas in the middle of the growing season (July and August), the albedo was mainly negatively correlated with precipitation, and at the end of the growing season (September), the albedo showed a weak correlation with temperature/precipitation.

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Section: Discussionsupporting

confidence: 72%

Section: Methodsmentioning

confidence: 99%

The Impact of Climate Change on the Surface Albedo over the Qinghai-Tibet Plateau

et al. 2021

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“…Thin plate spline can determine the degree of smoothness of an output surface from the sampling sites through generalized cross validation (Basconcillo et al., 2017). The Anusplin model is particularly suitable for processing a time series of meteorological data under a complex mountain environment and performs better than other spatial interpolation methods (e.g., IDW and Kriging) (Liu, Shanguan, Liu, & Ding, 2018a; Zhu, Zhang, Zhang, & Zhu, 2019). Thus, Anusplin version 4.4 was adopted in the study.…”

Section: Methodsmentioning

confidence: 99%

Impacts of global warming on the cropping systems of China under technical improvements from 1961 to 2016

et al. 2021

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The multiple cropping systems (MCS) have been crucial for China's food security due to its limited arable land and the increased population for hundreds of years. Global warming has significantly affected MCS in China during recent decades. However, whether global warming has influenced the MCS in China under technical improvement is still uncertain and has received great attention. Thus, the current study aims to evaluate the impacts of global warming within the improvements of crop cultivars on MCS in China and analyze the changes in cropland and actual cropping area during the past five decades. Our results showed that the cumulative temperature above 0 °C for the double‐cropping system (DCS) and triple‐cropping system (TCS), respectively, increased by 400 and 100 °C compared to the values in the 1980s. The northern limit of the DCS shifted Southward, while the northern limit of the TCS moved Northward. The cropland of the single‐cropping system (SCS) and TCS increased while the cropland of the DCS decreased. Specifically, the winter wheat (Triticum aestivum L.) area, which represents the DCS in northern China, decreased during the past decades. Similarly, the double‐rice (Oryza sativa L.) cropping system area, which represents the TCS in southern China, decreased as it was partly replaced by single‐rice cropping system. Our study indicated that the cropping intensity in China decreased during past decades, and the full use of MCS will lead to high grain production potential in the transition area. The results will be beneficial for optimizing the cropping distribution across China and enhance the food security.

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“…In this paper, we classified regional sen slope value into the following main categories: if sen > 0, it indicates delayed or extended; conversely, sen < 0 indicates advanced or shortened. Meanwhile, M-K test with a 95% confidence level was conducted by Che et al (2014) and Zhu et al (2019). The trends could be estimated by combining Sen's slope and the M-K test in light of the phenological parameters.…”

Section: Trend and Correlation Analysismentioning

confidence: 99%

Phenological Changes in Alpine Grasslands and Their Influencing Factors in Seasonally Frozen Ground Regions Across the Three Parallel Rivers Region, Qinghai-Tibet Plateau

Wang

et al. 2022

Front. Earth Sci.

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Alpine ecosystems are sensitive and vulnerable to climate change. In this study, we extracted three phonological parameters, viz. the start of the growing season (SOS), the end of the growing season (EOS), and the length of the growing season (LOS) from the moderate resolution imaging spectroradiometer (MODIS) normalized difference vegetation index (NDVI) dataset during 2000–2019 for alpine grasslands across the three parallel rivers region (TPRR), and also examined the spatiotemporal heterogeneity of the three phenological parameters in seasonally frozen ground regions (hereafter referred to as SFGR) in response to climate change. The results showed that the multiyear mean SOS gradually delayed from 100 to 160 days along higher elevation, EOS advanced as a whole (from 320 to 280 days), and LOS shortened (from 210 to 130 days). The multiyear mean spatial distribution of all the three parameters showed significant north-to-south differences in the TPRR. In general, the variation trends in all the phenological parameters were not significant (p > 0.05) in the past 20 years, where SOS was advanced by 0.16 days year−l, EOS delayed by 0.08 days year−l, and consequently LOS extended at a rate of 0.07 days year−l, likely due to the warming and drying climate during the study period. In addition, annual mean temperature (AMT) was negatively correlated with SOS (50.26%) and positively correlated with EOS and LOS (72.25 and 60%, respectively). As for the annual mean total precipitation (AMP), it was positively correlated with SOS and EOS (50.77 and 52.97%, respectively) and negatively correlated with LOS (52.07%). Furthermore, a higher freezing index led to a delayed SOS and an advanced EOS and a shortened LOS at the regional scale. Similar to AMT, a higher thawing index advanced the SOS, delayed the EOS, and extended the LOS. Our results confirmed the importance of climate and permafrost status on vegetation phenological processes and also contributed toward understanding the response of cold region ecosystems to global climate change.

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A comprehensive analysis of phenological changes in forest vegetation of the Funiu Mountains, China

Cited by 17 publications

References 28 publications

The Impact of Climate Change on the Surface Albedo over the Qinghai-Tibet Plateau

The Impact of Climate Change on the Surface Albedo over the Qinghai-Tibet Plateau

Impacts of global warming on the cropping systems of China under technical improvements from 1961 to 2016

Phenological Changes in Alpine Grasslands and Their Influencing Factors in Seasonally Frozen Ground Regions Across the Three Parallel Rivers Region, Qinghai-Tibet Plateau

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