Long-term vegetation phenology changes and response to multi-scale meteorological drought on the Loess Plateau, China

Ge, Chenhao; Sun, Shao; Yao, Rui; Sun, Peng; Li, Ming; Bian, Yaojin

doi:10.1016/j.jhydrol.2022.128605

Cited by 22 publications

(12 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this study, we found that the explanation of the monthly scale drought was stronger than that of the seasonal or semiannual scale drought. Ge et al [51] and Yuan et al [18] showed that the spring phenology of grassland plants in semiarid regions was more sensitive to monthly drought, which was consistent with the results of this study. In addition, climate change and extreme weather combine to control plant phenology [52], and extreme weather should be considered in plant phenology models in the context of global warming [3,53].…”

Section: Discussionsupporting

confidence: 92%

Predrought and Its Persistence Determined the Phenological Changes of Stipa krylovii in Inner Mongolia

Liu

Zhou

et al. 2023

Agronomy

View full text Add to dashboard Cite

Clarifying the response of plant phenology to drought duration is helpful for accurately interpreting and predicting carbon sinks in ecosystems. Based on the response of different phenological periods of the dominant species Stipa krylovii to monthly, seasonal, and semiannual time scale drought in the typical steppe of Inner Mongolia from 1983 to 2018, the results revealed that (1) the start of the growing season (SOS) was characterized by an advance–delay–advance pattern, and the heading stage (HOS), flowering stage (FOS), and end of the growing season (EOS) all showed consistent advanced trends, which provided additional insight into the conclusions of previous studies that found the SOS was advanced in arid and semiarid regions. (2) The response mechanism of the SOS to the timing of drought was not consistent. Among the response mechanism, the SOS was delayed because of the January–February drought at different time scales but advanced because of the April drought at different time scales. The HOS/FOS was delayed by the June–July drought at different time scales, and the EOS was advanced by the August–September drought at different time scales. (3) More importantly, the SOS, HOS, FOS, and EOS were affected by predrought and its persistence, and the effects were greater the closer to the phenological periods that drought occurred. (4) At the monthly scale, droughts in January, June, and August were the critical drought periods affecting the SOS, HOS/FOS, and EOS, while seasonal and semiannual scale droughts in February, June–July, and September were the critical periods affecting the SOS, HOS/FOS, and EOS. The results of this study enrich our understanding of how drought at different time scales affects different phenological periods, providing a basis for improving plant phenological models.

show abstract

Section: Discussionsupporting

confidence: 92%

Predrought and Its Persistence Determined the Phenological Changes of Stipa krylovii in Inner Mongolia

Liu

Zhou

et al. 2023

Agronomy

View full text Add to dashboard Cite

show abstract

“…Furthermore, temperature and precipitation were both negatively correlated with the EOS (Figure 12b), and the relation between SOS and precipitation was entirely positively correlated. The results for precipitation with SOS and EOS are in line with the findings of Ge et al [65], who investigated the impact of drought on phenological patterns using the standardized precipitation evapotranspiration index. In summary, the dominant factors and the degrees of influence showed spatial heterogeneity, and the phenological differentiation in coastal areas II and IV was obvious.…”

Section: Exploration Of the Drivers Of The Sos And Eossupporting

confidence: 90%

Analysis of Factors Driving Subtropical Forest Phenology Differentiation, Considering Temperature and Precipitation Time-Lag Effects: A Case Study of Fujian Province

Ma,

Zhang,

Qin

et al. 2024

Forests

View full text Add to dashboard Cite

Subtropical forest phenology differentiation is affected by temperature, precipitation, and topography. Understanding the primary contributing elements and their interactions with forest phenology can help people better comprehend the subtropical forest growth process and its response to climate. Meanwhile, the temporal and spatial variations of phenological rhythms are important indicators of climatic impacts on forests. Therefore, this study aimed to analyze both a total area and different forest growth environments within the whole (i.e., coastal site areas (II, IV) and inland site areas (I, III)) as to spatiotemporal patterns associated with subtropical forests in Fujian Province, which is located at the boundary between the middle and south subtropical zones. Considering the asymmetric effects of climate and forest growth, this study chose pre-seasonal and cumulative temperature and precipitation factors and utilized the GeoDetector model to analyze the dominant drivers and interactions within phenology differentiation in Fujian Province. The results show the following: (1) All of the phenological parameters were advanced or shortened over the 19-year observation period; those of shrubland and deciduous broadleaf forests fluctuated greatly, and their stability was poor. (2) The phenological parameters were more distinct at the borders of the site areas. Additionally, the dates associated with the end of the growth season (EOS) and the date-position of peak value (POP) in coastal areas (i.e., II and IV) were later than those in inland areas (i.e., I and III). Among the parameters, the length of the growth season (LOS) was most sensitive to altitude. (3) Precipitation was the main driving factor affecting the spatial heterogeneity of the start of the growth season (SOS) and the EOS. The relatively strong effects of preseason and current-month temperatures on the SOS may be influenced by the temperature threshold required to break bud dormancy, and the relationship between the SOS and temperature was related to the lag time and the length of accumulation. The EOS was susceptible to the hydrothermal conditions of the preseason accumulation, and the variation trend was negatively correlated with temperature and precipitation. Spatial attribution was used to analyze the attribution of phenology differentiation from the perspectives of different regions, thus revealing the relationships between forest phenology and meteorological time-lag effects, the result which can contribute to targeted guidance and support for scientific forest management.

show abstract

“…Considering the increased demand for evaporation and decreased soil water availability, the negative impact of warming and water stress (such as drought) on vegetation greening has been observed in many regions, particularly in the tropics, including Amazonia [21], temperate and boreal Eurasia [11], and the Congo Basin [13]. Moreover, the magnitude of drought trends fluctuated as the time scale expanded [22], and the response of vegetation growth to meteorological drought varied evidently across multi-scales and vegetation categories [23]. Furthermore, accumulating evidence suggests that the response of vegetation to temperature has weakened in northern temperate ecosystems over the last three to four decades [20].…”

Section: Introductionmentioning

confidence: 99%

Vegetation Greening and Its Response to a Warmer and Wetter Climate in the Yellow River Basin from 2000 to 2020

Bai,

Zhu,

Liu

et al. 2024

Remote Sensing

View full text Add to dashboard Cite

Vegetation greening is time-dependent and region-specific. The uncertainty of vegetation greening under global warming has been highlighted. Thus, it is crucial to investigate vegetation greening and its response to climate change at the regional scale. The Yellow River Basin (YRB) is a vital ecological barrier in China with high ecological vulnerability and climatic sensitivity. The relationship between vegetation greening and climate change in the YRB and the relative contribution of climate change remain to be explored. Using the Enhanced Vegetation Index (EVI) and meteorological observation data, the spatiotemporal patterns of vegetation greening across the YRB in response to climate change at the basin and vegetation sub-regional scales from 2000 to 2020 were analyzed. The impact of human activities on regional greening was further quantified. Results showed that approximately 92% of the basin had experienced greening, at average annual and growing season rates of 0.0024 and 0.0034 year–1, respectively. Greening was particularly prominent in the central and eastern YRB. Browning was more prevalent in urban areas with a high intensity of human activities, occupying less than 6.3% of the total basin, but this proportion increased significantly at seasonal scales, especially in spring. Regional greening was positively correlated with the overall warmer and wetter climate, and the partial correlation coefficients between EVI and precipitation were higher than those between EVI and temperature. However, this response varied among different seasonal scales and vegetation sub-regions. The combined effects of climate change and human activities were conducive to vegetation greening in 84.5% of the YRB during the growing season, while human activities had a stronger impact than climate change. The relative contributions of human activities to greening and browning were 65.15% and 70.30%, respectively, mainly due to the promotion of ecological rehabilitation programs and the inhibition of urbanization and construction projects.

show abstract

Long-term vegetation phenology changes and response to multi-scale meteorological drought on the Loess Plateau, China

Cited by 22 publications

References 45 publications

Predrought and Its Persistence Determined the Phenological Changes of Stipa krylovii in Inner Mongolia

Predrought and Its Persistence Determined the Phenological Changes of Stipa krylovii in Inner Mongolia

Analysis of Factors Driving Subtropical Forest Phenology Differentiation, Considering Temperature and Precipitation Time-Lag Effects: A Case Study of Fujian Province

Vegetation Greening and Its Response to a Warmer and Wetter Climate in the Yellow River Basin from 2000 to 2020

Contact Info

Product

Resources

About