Land surface phenology of China's temperate ecosystems over 1999–2013: Spatial–temporal patterns, interaction effects, covariation with climate and implications for productivity

Wu, Chaoyang; Hou, Xiudan; Peng, Dailiang; Gonsamo, Alemu; Xu, Shan

doi:10.1016/j.agrformet.2015.10.015

Cited by 143 publications

(82 citation statements)

References 66 publications

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“…This was also confirmed by several studies at the regional scale [56,69,73]. Wu et al [56] found that both SOS and EOS had location-dependent impacts on annual GPP.…”

Section: Converging/diverging Trends and Correlations Between Los Andsupporting

confidence: 67%

“…This was also confirmed by several studies at the regional scale [56,69,73]. Wu et al [56] found that both SOS and EOS had location-dependent impacts on annual GPP. This is further supported by Xia [69] et al who revealed that the inter-biome variations in annual GPP can be better explained by the variations in seasonal maximal photosynthetic capacity than LOS.…”

Section: Converging/diverging Trends and Correlations Between Los Andsupporting

confidence: 67%

“…Garonna et al [55] found that areas with greatest growing season lengthening are concentrated in pockets of continental Europe, western Russia, and southern Fennoscandia, whereas regions with growing season shortening are mainly found in the Po valley, western France, and around the Caspian Sea for Europe from 1982 to 2011, which is also consistent with the result of this study ( Figure 2C). However, the findings that an increasing LOS is due to both advancing SOS and delaying EOS for most areas, but decreasing LOS is caused by both delaying SOS and advancing EOS in most regions are contradictory to Wu et al [56] who showed that EOS was positively correlated with SOS in China's temperate regions during 1999-2013 (using SPOT-VGT data). This difference may be explained by the different periods of analysis and data sources between the two studies.…”

Section: Trends In Vegetation Phenology and Growing Season Integralcontrasting

confidence: 50%

See 2 more Smart Citations

Temporal Changes in Coupled Vegetation Phenology and Productivity are Biome-Specific in the Northern Hemisphere

Wang

Fensholt

2017

Remote Sensing

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Global warming has greatly stimulated vegetation growth through both extending the growing season and promoting photosynthesis in the Northern Hemisphere (NH). Analyzing the combined dynamics of such trends can potentially improve our current understanding on changes in vegetation functioning and the complex relationship between anthropogenic and climatic drivers. This study aims to analyze the relationships (long-term trends and correlations) of length of vegetation growing season (LOS) and vegetation productivity assessed by the growing season NDVI integral (GSI) in the NH (>30 • N) to study any dependency of major biomes that are characterized by different imprint from anthropogenic influence. Spatial patterns of converging/diverging trends in LOS and GSI and temporal changes in the coupling between LOS and GSI are analyzed for major biomes at hemispheric and continental scales from the third generation Global Inventory Monitoring and Modeling Studies (GIMMS) Normalized Difference Vegetation Index (NDVI) dataset for a 32-year period . A quarter area of the NH is covered by converging trends (consistent significant trends in LOS and GSI), whereas diverging trends (opposing significant trends in LOS and GSI) cover about 6% of the region. Diverging trends are observed mainly in high latitudes and arid/semi-arid areas of non-forest biomes (shrublands, savannas, and grasslands), whereas forest biomes and croplands are primarily characterized by converging trends. The study shows spatially-distinct and biome-specific patterns between the continental land masses of Eurasia (EA) and North America (NA). Finally, areas of high positive correlation between LOS and GSI showed to increase during the period of analysis, with areas of significant positive trends in correlation being more widespread in NA as compared to EA. The temporal changes in the coupled vegetation phenology and productivity suggest complex relationships and interactions that are induced by both ongoing climate change and increasingly intensive human disturbances.

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“…This was also confirmed by several studies at the regional scale [56,69,73]. Wu et al [56] found that both SOS and EOS had location-dependent impacts on annual GPP.…”

Section: Converging/diverging Trends and Correlations Between Los Andsupporting

confidence: 67%

Section: Converging/diverging Trends and Correlations Between Los Andsupporting

confidence: 67%

Section: Trends In Vegetation Phenology and Growing Season Integralcontrasting

confidence: 50%

See 1 more Smart Citation

Temporal Changes in Coupled Vegetation Phenology and Productivity are Biome-Specific in the Northern Hemisphere

Wang

Fensholt

2017

Remote Sensing

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“…The reason for this phenomenon may be that the EOS was also affected by other important factors such as water and photoperiod [31]. Previous studies also showed that earlier SOS may trigger earlier EOS because vegetation may reach the carbohydrate storage capacity with earlier SOS and then lead to earlier EOS [15]. In addition, Northeast China is located at high latitudes, sunshine duration may play an important role in influencing LSP (for example, the advanced SOS and delayed EOS) [14].…”

Section: Relationships Between Uhii and Uelspmentioning

confidence: 99%

Investigation of Urbanization Effects on Land Surface Phenology in Northeast China during 2001–2015

et al. 2017

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Abstract:The urbanization effects on land surface phenology (LSP) have been investigated by many studies, but few studies have focused on the temporal variations of urbanization effects on LSP. In this study, we used the Moderate-resolution Imaging Spectroradiometer (MODIS) Enhanced Vegetation Index (EVI), MODIS Land Surface Temperature (LST) data and China's Land Use/Cover Datasets (CLUDs) to investigate the temporal variations of urban heat island intensity (UHII) and urbanization effects on LSP in Northeast China during 2001-2015. LST and phenology differences between urban and rural areas represented the urban heat island intensity and urbanization effects on LSP, respectively. A Mann-Kendall nonparametric test and Sen's slope were used to evaluate the trends of urbanization effects on LSP and urban heat island intensity. The results indicated that the average LSP during 2001-2015 was characterized by high spatial heterogeneity. The start of the growing season (SOS) in old urban areas had become earlier and earlier compared to rural areas, and the differences in SOS between urbanized areas and rural areas changed greatly during 2001-2015 (−0.79 days/year, p < 0.01). Meanwhile, the length of the growing season (LOS) in urban and adjacent areas had become increasingly longer than rural areas, especially in urbanized areas (0.92 days/year, p < 0.01), but the differences in the end of the growing season (EOS) between urban and adjacent areas did not change significantly. Next, the UHII increased in spring and autumn during the whole study period. Moreover, the correlation analysis indicated that the increasing urban heat island intensity in spring contributed greatly to the increases of urbanization effects on SOS, but the increasing urban heat island intensity in autumn did not lead to the increases of urbanization effects on EOS in Northeast China.

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“…Shifts in phenology effectively reflect the vegetation response to climate change and variability [25,26] and have a significant effect on vegetation ecosystem productivity [27][28][29]. Knowledge of drought impact on grassland phenology is obtained through species-specific studies.…”

Section: Introductionmentioning

confidence: 99%

Grassland Phenology Response to Drought in the Canadian Prairies

2017

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Drought is a significant climatic disturbance in grasslands, yet the impact drought caused by global warming has on grassland phenology is still unclear. Our research investigates the long-term variability of grassland phenology in relation to drought in the Canadian prairies from 1982 to 2014. Based on the start of growing season (SOG) and the end of growing season (EOG) derived from Global Inventory Modeling and Mapping Studies (GIMMS) NDVI3g datasets, we found that grasslands demonstrated complex phenology trends over our study period. We retrieved the drought conditions of the prairie ecozone at multiple time scales from the 1-to 12-month Standardized Precipitation Evapotranspiration Index (SPEI). We evaluated the correlations between the detrended time series of phenological metrics and SPEIs through Pearson correlation analysis and identified the dominant drought where the maximum correlations were found for each ecozone and each phenological metric. The dominant drought over preceding months account for 14-33% and 26-44% of the year-to-year variability of SOG and EOG, respectively, and fewer water deficits would favor an earlier SOG and delayed EOG. The drought-induced shifts in SOG and EOG were determined based on the correlation between the dominant drought and the year-to-year variability using ordinary least square (OLS) method. Our research also quantifies the correlation between precipitation and the evolution of the dominant droughts and the drought-induced shifts in grassland phenology. Every millimeter (mm) increase in precipitation accumulated over the dominant periods would cause SOG to occur 0.06-0.21 days earlier, and EOG to occur 0.23-0.45 days later. Our research reveals a complex phenology response in relation to drought in the Canadian prairie grasslands and demonstrates that drought is a significant factor in the timing of both SOG and EOG. Thus, it is necessary to include drought-related climatic variables when predicting grassland phenology response to climate change and variability.

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Land surface phenology of China's temperate ecosystems over 1999–2013: Spatial–temporal patterns, interaction effects, covariation with climate and implications for productivity

Cited by 143 publications

References 66 publications

Temporal Changes in Coupled Vegetation Phenology and Productivity are Biome-Specific in the Northern Hemisphere

Temporal Changes in Coupled Vegetation Phenology and Productivity are Biome-Specific in the Northern Hemisphere

Investigation of Urbanization Effects on Land Surface Phenology in Northeast China during 2001–2015

Grassland Phenology Response to Drought in the Canadian Prairies

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