Legacy effect of spring phenology on vegetation growth in temperate China

Xing, Zhou; Geng, Xiaojun; Yin, Guodong; Hänninen, Heikki; Hao, Fang; Zhang, Xuan; Fu, Yongshuo H.

doi:10.1016/j.agrformet.2019.107845

Cited by 80 publications

(67 citation statements)

References 52 publications

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“…Compared with spring NPP, summer NPP was overall less correlated with BGS, which is in accord with another study in temperate China [26]. This might be resulted from the declined water availability caused by earlier BGS [28].…”

Section: Direct and Lagged Effects Of Spring Phenology On Nppsupporting

confidence: 88%

“…Previous studies reported that warming-induced earlier onset of the growing season would result in a longer growing season in some forest ecosystems, which in turn leads to strengthened ecosystem productivity [23,24]. However, earlier spring phenology might inhibit carbon assimilation, due to aggravated water stress in summer or autumn for the water-limited grassland ecosystems [25,26]. Water availability is one of the critical environment factors that regulate the response of vegetation productivity to spring phenology.…”

Section: Introductionmentioning

confidence: 99%

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Direct and Lagged Effects of Spring Phenology on Net Primary Productivity in the Alpine Grasslands on the Tibetan Plateau

2020

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As a key biotic factor, phenology exerts fundamental influences on ecosystem carbon sequestration. However, whether spring phenology affects the subsequent seasonal ecosystem productivity and the underlying resource limitation mechanism remains unclear for the alpine grasslands of the Tibetan Plateau (TP). In this study, we investigated the direct and lagged seasonal responses of net primary productivity (NPP) to the beginning of growing season (BGS) along a precipitation gradient by integrating field observations, remote sensing monitoring and ecosystem model simulations. The results revealed distinct response patterns of seasonal NPP to BGS. Specifically, the BGS showed a significant and negative correlation with spring NPP (R = −0.73, p < 0.01), as evidenced by the direct boosting effects of earlier BGS on spring NPP. Moreover, spring NPP was more responsive to BGS in areas with more annual precipitation. The boosting effects of earlier BGS on NPP tended to weaken in summer compared with that in spring. Sequentially, BGS exhibited stronger positive correlation with autumn NPP in areas with less annual precipitation, which suggested the enhanced lagged suppressing effects of earlier spring phenology on ecosystem carbon assimilation during the later growing season under aggravated water stress. Overall, the strengthened NPP in spring was offset by its decrement in autumn, resulting in no obvious relationship between BGS and annual NPP (R = −0.34, p > 0.05) for the entire grasslands on the TP. The findings of this study imply that the lagged effects of phenology on the ecosystem productivity during the subsequent seasons should not be neglected in the future studies.

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Section: Direct and Lagged Effects Of Spring Phenology On Nppsupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Direct and Lagged Effects of Spring Phenology on Net Primary Productivity in the Alpine Grasslands on the Tibetan Plateau

2020

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“…Thus, there is a dire need of further research especially on the effects of climate change on the optimum temperatures required for different crop development stages. In short, climate warming has mostly negative impacts on crop species by disturbing their phenology, but these impacts can be compensated or converted into positive effects by proper management, ideotype designing and breeding of fastgrowing crops with higher thermal requirements 37,88,[101][102][103][104][105][106] .…”

Section: Impact Of Climate Warming On Phenological Shiftmentioning

confidence: 99%

“…Although vegetative and reproductive phases are equally prone to climate warming 37,145,149 , the impact of high temperature on pollen viability, fertilization and post-fertilization processes leads to a marked decrease in final yield 16,145,150 . However, all phenological stages are not equally responsive to climate warming effects and do not have equal impacts to final yield 12,103,127,[151][152][153] . Tao et al 38 investigated the effects of phenology shift on yield of wheat, maize and rice during 1981 to 2000.…”

Section: Effect Of Phenological Shifts On Crop Yieldmentioning

confidence: 99%

The fingerprints of climate warming on cereal crops phenology and adaptation options

Fatima

Ahmed

Hussain

et al. 2020

Sci Rep

187

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Growth and development of cereal crops are linked to weather, day length and growing degree-days (GDDs) which make them responsive to the specific environments in specific seasons. Global temperature is rising due to human activities such as burning of fossil fuels and clearance of woodlands for building construction. The rise in temperature disrupts crop growth and development. Disturbance mainly causes a shift in phenological development of crops and affects their economic yield. Scientists and farmers adapt to these phenological shifts, in part, by changing sowing time and cultivar shifts which may increase or decrease crop growth duration. Nonetheless, climate warming is a global phenomenon and cannot be avoided. In this scenario, food security can be ensured by improving cereal production through agronomic management, breeding of climate-adapted genotypes and increasing genetic biodiversity. In this review, climate warming, its impact and consequences are discussed with reference to their influences on phenological shifts. Furthermore, how different cereal crops adapt to climate warming by regulating their phenological development is elaborated. Based on the above mentioned discussion, different management strategies to cope with climate warming are suggested.

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“…Over the past few decades, some researchers have found a warmer and more humid pattern displayed in the arid regions of Central Asia [ 24 , 31 ], but some studies have come to the opposite conclusion [ 32 , 33 ]. Meanwhile, some studies have also proposed the presence of enhanced vegetation greenness in Central Asia [ 28 ], and further studies have documented a significant spatial heterogeneity [ 31 , 34 ] and seasonal diversity [ 25 , 35 ] in the vegetation greenness. Several studies have tried to reveal the trends in climate indicators and NDVI based on linear trend regression [ 1 , 34 ].…”

Section: Introductionmentioning

confidence: 99%

Effects of Climate Change on Land Cover Change and Vegetation Dynamics in Xinjiang, China

Bian

Shen

et al. 2020

IJERPH

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Since the Silk-road Economic belt initiatives were proposed, Xinjiang has provided a vital strategic link between China and Central Asia and even Eurasia. However, owing to the weak and vulnerable ecosystem in this arid region, even a slight climate change would probably disrupt vegetation dynamics and land cover change. Thus, there is an urgent need to determine the Normalized Difference Vegetation Index (NDVI) and Land-use/Land-cover (LULC) responses to climate change. Here, the extreme-point symmetric mode decomposition (ESMD) method and linear regression method (LRM) were applied to recognize the variation trends of the NDVI, temperature, and precipitation between the growing season and other seasons. Combining the transfer matrix of LULC, the Pearson correlation analysis was utilized to reveal the response of NDVI to climate change and climate extremes. The results showed that: (1) Extreme temperature showed greater variation than extreme precipitation. Both the ESMD and the LRM exhibited an increased volatility trend for the NDVI, with the significant improvement regions mainly located in the margin of basins. (2) Since climate change had a warming trend, the permanent snow has been reduced by 20,436 km2. The NDVI has a higher correlation to precipitation than temperature. Furthermore, the humid trend could provide more suitable conditions for vegetation growth, but the warm trend might prevent vegetation growth. Spatially, the response of the NDVI in North Xinjiang (NXC) was more sensitive to precipitation than that in South Xinjiang (SXC). Seasonally, the NDVI has a greater correlation to precipitation in spring and summer, but the opposite occurs in autumn. (3) The response of the NDVI to extreme precipitation was stronger than the response to extreme temperature. The reduction in diurnal temperature variation was beneficial to vegetation growth. Therefore, continuous concentrated precipitation and higher night-time-temperatures could enhance vegetation growth in Xinjiang. This study could enrich the understanding of the response of land cover change and vegetation dynamics to climate extremes and provide scientific support for eco-environment sustainable management in the arid regions.

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Legacy effect of spring phenology on vegetation growth in temperate China

Cited by 80 publications

References 52 publications

Direct and Lagged Effects of Spring Phenology on Net Primary Productivity in the Alpine Grasslands on the Tibetan Plateau

Direct and Lagged Effects of Spring Phenology on Net Primary Productivity in the Alpine Grasslands on the Tibetan Plateau

The fingerprints of climate warming on cereal crops phenology and adaptation options

Effects of Climate Change on Land Cover Change and Vegetation Dynamics in Xinjiang, China

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