Diverse Responses of Remotely Sensed Grassland Phenology to Interannual Climate Variability over Frozen Ground Regions in Mongolia

Sun, Zhigang; Wang, Qinxue; Xiao, Qingan; Batkhishig, Ochirbat; Watanabe, Masataka

doi:10.3390/rs70100360

Cited by 13 publications

(9 citation statements)

References 31 publications

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“…Overall, warmer and wetter autumn conditions therefore would lead to a delay of the leaf senescence process. The predominant role of temperature in affecting EOS has also been observed in Mongolian grasslands [68] and in the Tibetan Plateau [69]. However, other studies reported precipitation to be more important than temperature in determining autumn phenology of temperate grassland ecosystems [47,62].…”

Section: Key Factors Of Controlling Sos/eos For the Whole Study Regionmentioning

confidence: 84%

“…A greater pre-SOS temperature may advance SOS in meadow steppe given sufficient water supply from thawed frozen soil which may store substantial amounts of water from the previous winter [70,71]. In contrast, a rapid temperature increase in spring would delay SOS in typical steppe and desert steppe due to the concurrent rapid increase in evaporation and sharp decrease in soil moisture supply [68]. The better relationship between SOS with pre-SOS precipitation than temperature illustrates that SOS is primarily controlled by water regime in all the three grassland types.…”

Section: Response Of Sos/eos To Climate Change Among Different Grasslmentioning

confidence: 99%

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Diverse Responses of Vegetation Phenology to Climate Change in Different Grasslands in Inner Mongolia during 2000–2016

Ren

Peichl

et al. 2017

Remote Sensing

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Vegetation phenology in temperate grasslands is highly sensitive to climate change. However, it is still unclear how the timing of vegetation phenology events (especially for autumn phenology) is altered in response to climate change across different grassland types. In this study, we investigated variations of the growing season start (SOS) and end (EOS), derived from Moderate Resolution Imaging Spectroradiometer (MODIS) data (2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016), for meadow steppe, typical steppe, and desert steppe in the Inner Mongolian grassland of Northern China. Using gridded climate data (2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015), we further analyzed correlations between SOS/EOS and pre-season average air temperature and total precipitation (defined as 90-day period prior to SOS/EOS, i.e., pre-SOS/EOS) in each grid. The results showed that both SOS and EOS occurred later in desert steppe (day of year (doy) 114 and 312) than in meadow steppe (doy 109 and 305) and typical steppe (doy 111 and 307); namely, desert steppe has a relatively late growing season than meadow steppe and typical steppe. For all three grasslands, SOS was mainly controlled by pre-SOS precipitation with the sensitivity being largest in desert steppe. EOS was closely connected with pre-EOS air temperature in meadow steppe and typical steppe, but more closely related to pre-EOS precipitation in desert steppe. During 2000-2015, SOS in typical steppe and desert steppe has significantly advanced by 2.2 days and 10.6 days due to a significant increase of pre-SOS precipitation. In addition, EOS of desert steppe has also significantly advanced by 6.8 days, likely as a result from the combined effects of elevated preseason temperature and precipitation. Our study highlights the diverse responses in the timing of spring and autumn phenology to preceding temperature and precipitation in different grassland types. Results from this study can help to guide grazing systems and to develop policy frameworks for grasslands protection.

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Section: Key Factors Of Controlling Sos/eos For the Whole Study Regionmentioning

confidence: 84%

Section: Response Of Sos/eos To Climate Change Among Different Grasslmentioning

confidence: 99%

Diverse Responses of Vegetation Phenology to Climate Change in Different Grasslands in Inner Mongolia during 2000–2016

Ren

Peichl

et al. 2017

Remote Sensing

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“…A dry and cold climate dominates the region around the AMS, with an annual mean air temperature of −2.8 ∘ C and annual total precipitation of 260 mm. Detailed information regarding the AMS can be found in Sun et al [25]. Figure 1: Strategies to simulate ET and LST using the SHAW model.…”

Section: Datamentioning

confidence: 99%

Relationship between Evapotranspiration and Land Surface Temperature under Energy- and Water-Limited Conditions in Dry and Cold Climates

Sun

Wang²,

Batkhishig³

et al. 2016

Advances in Meteorology

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Remotely sensed land surface temperature- (LST-) dependent evapotranspiration (ET) models and vegetation index- (VI-) LST methods may not be suitable for ET estimation in energy-limited cold areas. In this study, the relationship of ET to LST was simulated using the process-based Simultaneous Heat and Water (SHAW) model for energy- and water-limited conditions in Mongolia, to understand the differences in ET processes under these two limiting conditions in dry and cold climates. Simulation results from the SHAW model along with ground observational data showed that ET and LST have a positive relationship when air temperature (Ta) is less than or equal to the temperature (Ttra) above which plants transpire and have a negative relationship whenTais greater thanTtraunder the energy-limited condition. However, ET and LST maintain a negative relationship with changes inTaunder the water-limited condition. The differences in the relationship between ET and LST under the energy-limited and water-limited conditions could be attributed to plant transpiration and energy storage in moist/watered soil and plants. This study suggests that different strategies should be used to estimate ET under the energy-limited condition in dry and cold climates.

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“…Compared to potential evapotranspiration, which is estimated from temperature, sun hours, solar radiation, etc. [85], the amount of precipitation is easy to measure and often paralleled with temperature when assessing the grassland phenology response to climate change and variability [73,76,86,87]. Some studies have explored the underlying mechanism of the impact of precipitation on vegetation phenology and state that spring rainfall may trigger an increase in nutrient levels for the start of vegetation growth [88].…”

Section: Drought-induced Shifts In Grassland Relation To Phenology Anmentioning

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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Diverse Responses of Remotely Sensed Grassland Phenology to Interannual Climate Variability over Frozen Ground Regions in Mongolia

Cited by 13 publications

References 31 publications

Diverse Responses of Vegetation Phenology to Climate Change in Different Grasslands in Inner Mongolia during 2000–2016

Diverse Responses of Vegetation Phenology to Climate Change in Different Grasslands in Inner Mongolia during 2000–2016

Relationship between Evapotranspiration and Land Surface Temperature under Energy- and Water-Limited Conditions in Dry and Cold Climates

Grassland Phenology Response to Drought in the Canadian Prairies

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