Monitoring the long term vegetation phenology change in Northeast China from 1982 to 2015

A major disturbance in nature, drought, has a significant impact on the vulnerability and resilience of semi-arid ecosystems by shifting phenology and productivity. However, due to the various disturbance mechanisms, phenology and primary productivity have remained largely ambiguous until now. This paper evaluated the spatio-temporal changes of phenology and productivity based on GIMMS NDVI3g time series data, and demonstrated the responses of vegetation phenology and productivity to drought disturbances with the standardized precipitation evapotranspiration index (SPEI) in semi-arid ecosystems of northern China. The results showed that (1): vegetation phenology exhibited dramatic spatial heterogeneity with different rates, mostly presented in the regions with high chances of land cover type variation. The delayed onset of growing season (SOS) and advanced end of growing season (EOS) occurred in Horqin Sandy Land and the eastern Ordos Plateau with a one to three days/decade (p < 0.05) rate and in the middle and east of Inner Mongolia with a two days/decade rate, respectively. Vegetation productivity presented a clear pattern: south increased and north decreased. (2) Spring drought delayed SOS in grassland, barren/sparsely vegetated land, and cropland, while autumn drought significantly advanced EOS in grassland and barren/sparsely vegetated lands. Annual drought reduced vegetation productivity and the sensitivity of productivity regarding drought disturbance was higher than that of phenology.

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“…The Double Logistic function was used for fitting the NDVI time series curve. The fitted equitation is as follows [52,53]:…”

Section: Derivative Methods Based On the Fitted Double Logistic Functimentioning

confidence: 99%

The Response of Vegetation Phenology and Productivity to Drought in Semi-Arid Regions of Northern China

2018

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“…The new generation of the NDVI dataset added percentile data and recovered NDVI negative values of snow‐covered regions in the winter at high latitudes in the Northern Hemisphere. The NDVI 3g dataset has been widely applied for the quantification of long‐term changes in vegetation growth (Piao et al, ; Shen et al, ; Wu & Liu, ; Xia et al, ; Yu et al, ; Yu, Liu, et al, ).…”

Section: Methodsmentioning

confidence: 99%

“…The study used the latest and longest release of GIMMS NDVI 3g version 1 dataset, which was provided by the Global Inventory The NDVI 3g dataset has been widely applied for the quantification of long-term changes in vegetation growth Shen et al, 2018;Wu & Liu, 2013;Xia et al, 2018;Yu et al, 2017;Yu, Liu, et al, 2013a).…”

Section: Data Collection and Generationmentioning

confidence: 99%

Discrepancies in vegetation phenology trends and shift patterns in different climatic zones in middle and eastern Eurasia between 1982 and 2015

Zhang

et al. 2019

Ecology and Evolution

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Changes in vegetation phenology directly reflect the response of vegetation growth to climate change. In this study, using the Normalized Difference Vegetation Index dataset from 1982 to 2015, we extracted start date of vegetation growing season (SOS), end date of vegetation growing season (EOS), and length of vegetation growing season (LOS) in the middle and eastern Eurasia region and evaluated linear trends in SOS, EOS, and LOS for the entire study area, as well as for four climatic zones. The results show that the LOS has significantly increased by 0.27 days/year, mostly due to a significantly advanced SOS (−0.20 days/year) and a slightly delayed EOS (0.07 days/year) over the entire study area from 1982 to 2015. The vegetation phenology trends in the four climatic zones are not continuous throughout the 34‐year period. Furthermore, discrepancies in the shifting patterns of vegetation phenology trend existed among different climatic zones. Turning points (TP) of SOS trends in the Cold zone, Temperate zone, and Tibetan Plateau zone occurred in the mid‐ or late 1990s. The advanced trends of SOS in the Cold zone, Temperate zone, and Tibetan Plateau zone exhibited accelerated, stalled, and reversed patterns after the corresponding TP, respectively. The TP did not occurred in Cold‐Temperate zone, where the SOS showed a consistent and continuous advance. TPs of EOS trends in the Cold zone, Cold‐Temperate zone, Temperate zone, and Tibetan Plateau zone occurred in the late 1980s or mid‐1990s. The EOS in the Cold zone, Cold‐Temperate zone, Temperate zone, and Tibetan Plateau zone showed weak advanced or delayed trends after the corresponding TP, which were comparable with the delayed trends before the corresponding TP. The shift patterns of LOS trends were primarily influenced by the shift patterns of SOS trends and were also heterogeneous within climatic zones.

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“…, Yu et al . ). Research in this arena recognizes large‐scale processes as both drivers of and responses to climate change, asking how the phenology of large areas of vegetation influences local weather, carbon cycling, and water cycles (Makarieva et al .…”

mentioning

confidence: 97%

“…The climate change line of enquiry in phenology concentrated first on long-term species-level studies (Fitter et al 1995, Menzel et al 2006, but now focusses on landscape-level proxies for leaf phenology, derived from satellite remote sensing (e.g., Myneni et al 2007, Yu et al 2015. Research in this arena recognizes large-scale processes as both drivers of and responses to climate change, asking how the phenology of large areas of vegetation influences local weather, carbon cycling, and water cycles (Makarieva et al 2014, Richardson et al 2013, as well as how reproduction or leafing responds to local climate (Krishnaswamy et al 2014, Myneni et al 2007, Streher et al 2017, Zhou et al 2014.…”

mentioning

confidence: 99%

Current issues in tropical phenology: a synthesis

et al. 2018

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We retrace the development of tropical phenology research, compare temperate phenology study to that in the tropics and highlight the advances currently being made in this flourishing discipline. The synthesis draws attention to how fundamentally different tropical phenology data can be to temperate data. Tropical plants lack a phase of winter dormancy and may grow and reproduce continually. Seasonal patterns in environmental parameters, such as rainfall, irradiance or temperature, do not necessarily coincide temporally, as they do in temperate climes. We review recent research on the drivers of phenophase cycles in individual trees, species and communities and highlight how significant innovations in biometric tools and approaches are being driven by the need to deal with circular data, the complexity of defining tropical seasons and the myriad growth and reproductive strategies used by tropical plants. We discuss how important the use of leaf phenology (or remotely‐sensed proxies of leaf phenophases) has become in tracking biome responses to climate change at the continental level and how important the phenophase of forests can be in determining local weather conditions. We also highlight how powerful analyses of plant responses are hampered at many tropical sites by a lack of contextual data on local environmental conditions. We conclude by arguing that there is a clear global benefit in increasing long term tropical phenology data collection and improving empirical collection of local climate measures, contemporary to the phenology data. Directing more resources to research in this sector will be widely beneficial.

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Monitoring the long term vegetation phenology change in Northeast China from 1982 to 2015

Cited by 67 publications

References 41 publications

The Response of Vegetation Phenology and Productivity to Drought in Semi-Arid Regions of Northern China

The Response of Vegetation Phenology and Productivity to Drought in Semi-Arid Regions of Northern China

Discrepancies in vegetation phenology trends and shift patterns in different climatic zones in middle and eastern Eurasia between 1982 and 2015

Current issues in tropical phenology: a synthesis

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