Vegetation Phenology in Permafrost Regions of Northeastern China Based on MODIS and Solar-induced Chlorophyll Fluorescence

Wen, Lixiang; Guo, Meng; Yin, Shuai; Huang, Shubo; Li, Xingli; Yu, Fangbing

doi:10.1007/s11769-021-1204-x

Cited by 10 publications

(20 citation statements)

References 63 publications

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“…eosdis.nasa.gov/search/order/) with a spatial resolution of 250 m, corresponding to a maximum synthetic reflectance for 16 days. The dataset has been corrected through a variety of methods, including calibration and removal of atmospheric disturbances and other effects (Khare et al, 2019;Wen et al, 2021). Firstly, we used NASA's MODIS Reprojection Tool (MRT) for data format conversion, image mosaicking, reprojection, mask extraction, and other operations to extract regional NDVI data.…”

Section: Remote Sensing Datamentioning

confidence: 99%

“…We referred to the research method by Wen et al (2021) and used the dynamic threshold method to extract three key phenological parameters of alpine grassland in the TIMESAT 3.2 (Jonsson and Eklundh, 2004).…”

Section: Extraction Of Phenological Parametersmentioning

confidence: 99%

“…Sen slope is a nonparametric estimation method, which can be used to calculate the variability of data, and the results of the Mann-Kendall (M-K) test are largely uninterrupted by outliers (Wen et al, 2021). A combination of them has been widely used in vegetation trend analysis and long-term series data analysis in recent years (Gocic and Trajkovic, 2013).…”

Section: Trend and Correlation Analysismentioning

confidence: 99%

“…Meanwhile, the emergence of remote sensing technology has greatly broadened the scope of vegetation phenological observations due to its virtues of multi-temporal, long time series, and large-scale regional as well as global datasets (Hmimina et al, 2013;Zhao et al, 2015;Piao et al, 2019). Vegetation indices, such as the NDVI, the enhanced vegetation index (EVI), and the leaf area index (LAI), have been used to infer the timing of vegetation phenology (Delbart et al, 2005;Shen et al, 2014a;Wen et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…In the alpine grassland ecosystem, variation in frozen soil can drive vegetation phenology, including abiotic physical factors such as climate and photoperiod (Gao et al, 2020a;Wen et al, 2021). After the Arctic and the Antarctic, the QTP has the largest permafrost and seasonally frozen ground region in the world (Cheng and Jin, 2013;Zou et al, 2017;Jiang et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

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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Section: Remote Sensing Datamentioning

confidence: 99%

Section: Extraction Of Phenological Parametersmentioning

confidence: 99%

Section: Trend and Correlation Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

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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Forest succession trajectories after fires in valleys and on slopes in the Greater Khingan Mountains, China

et al. 2023

Self Cite

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Accurate assessment of postfire vegetation recovery is important for forest management and the conservation of species diversity. Topography is an important factor affecting vegetation recovery but whether species composition varies with different recovery stages and between valleys and slopes is unclear. Using field data and a space-for-time substitution method, we quantified species richness and diversity to obtain the successional trajectories of valleys and slopes. We surveyed the species of 10 burned areas from 1986 to 2010 in the Greater Khingan Mountains in northeastern China, and found that with increasing postfire recovery time, species richness in both valleys and slopes gradually decreased. However, species richness in valleys was relatively higher. Shrubs recovered rapidly in the valleys, and species diversity maximized approximately 11 years after fire. However, it maximized 17–18 years after fire on the slopes. Numerous shade-tolerant species were present in the valleys 11 years after fire but not until after 18 years on slopes. Larch appeared earlier than 11 years after fire and its recovery was slow in the valleys but appeared quickly on slopes and established dominance early. Our study provides some new insights into vegetation succession after fire at local scales. After fire, the vegetation recovery processes differ with topography and it affects the initial rate of recovery and species composition at different successional stages.

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Increasing temperature regulates the advance of peak photosynthesis timing in the boreal ecosystem

Guo

Chen

et al. 2023

Science of The Total Environment

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Vegetation Phenology in Permafrost Regions of Northeastern China Based on MODIS and Solar-induced Chlorophyll Fluorescence

Cited by 10 publications

References 63 publications

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

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

Forest succession trajectories after fires in valleys and on slopes in the Greater Khingan Mountains, China

Increasing temperature regulates the advance of peak photosynthesis timing in the boreal ecosystem

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