Modeling greenup date of dominant grass species in the Inner Mongolian Grassland using air temperature and precipitation data

Chen, Xiaoqiu; Li, Jing; Xu, Lin; Liu, Li; Ding, Deng

doi:10.1007/s00484-013-0732-1

Cited by 59 publications

(42 citation statements)

References 34 publications

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“…This is, to some extent, in line with the results of two similar studies based on satellite-derived green-up date and ground meteorological data [47,63]. Some process-based phenology modelling and experimental studies have also previously highlighted the critical effects of water availability on SOS in North American grasslands [11,18] and Inner Mongolian grasslands [64,65]. In contrast, however, temperature has been reported as key factor of determining spring phenological events of woody plants in temperate ecosystems [66], and herbaceous species in alpine ecosystems [67].…”

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

confidence: 73%

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 Regionsupporting

confidence: 73%

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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“…Genetic adaptations and community changes can also play a role in phenological responses (Chen, Li, Xu, Liu, & Ding, ; Høye, Ellebjerg, & Philipp, ), but the similarity between SWG and LWG indicated that such slower acting mechanisms (Jump & Penuelas, ) were likely not active in the warming response in this study. Unfortunately, no data were available to test the “genetic adaptations” hypothesis, but surveys of vegetation have found little change in community composition for both SWG and LWG up to warming levels of +5°C and even at our highest warming level (+10°C), no changes in dominant plant species occurred (Gudmundsdóttir et al., ; Michielsen, ).…”

Section: Discussionmentioning

confidence: 73%

Phenological responses of Icelandic subarctic grasslands to short‐term and long‐term natural soil warming

Leblans

Sigurðsson

Vicca

et al. 2017

Global Change Biology

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The phenology of vegetation, particularly the length of the growing season (LOS; i.e., the period from greenup to senescence), is highly sensitive to climate change, which could imply potent feedbacks to the climate system, for example, by altering the ecosystem carbon (C) balance. In recent decades, the largest extensions of LOS have been reported at high northern latitudes, but further warming-induced LOS extensions may be constrained by too short photoperiod or unfulfilled chilling requirements. Here, we studied subarctic grasslands, which cover a vast area and contain large C stocks, but for which LOS changes under further warming are highly uncertain. We measured LOS extensions of Icelandic subarctic grasslands along natural geothermal soil warming gradients of different age (short term, where the measurements started after 5 years of warming and long term, i.e., warmed since ≥50 years) using ground-level measurements of normalized difference vegetation index. We found that LOS linearly extended with on average 2.1 days per °C soil warming up to the highest soil warming levels (ca. +10°C) and that LOS had the potential to extend at least 1 month. This indicates that the warming impact on LOS in these subarctic grasslands will likely not saturate in the near future. A similar response to short- and long-term warming indicated a strong physiological control of the phenological response of the subarctic grasslands to warming and suggested that genetic adaptations and community changes were likely of minor importance. We conclude that the warming-driven extension of the LOSs of these subarctic grasslands did not saturate up to +10°C warming, and hence that growing seasons of high-latitude grasslands are likely to continue lengthening with future warming (unless genetic adaptations or species shifts do occur). This persistence of the warming-induced extension of LOS has important implications for the C-sink potential of subarctic grasslands under climate change.

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“…Further, we also found that preseason precipitation explained a substantial portion of the variability in predicted SOS, indicating an important role of precipitation in driving shifts in phenology. Compared to the well‐known control of temperature in triggering SOS, the potential impact of preseason precipitation was often ignored (Chen et al ., ; Forkel et al ., ). Generally, variation of preseason precipitation is not as obvious on the interannual timescale as in space range.…”

Section: Discussionmentioning

confidence: 99%

“…These findings indirectly suggest an important cue of precipitation for phenological development. Nevertheless, less attention has been devoted to the dependence of plant growth on precipitation (Chen et al ., ; Forkel et al ., ), probably due to lack of clear association between phenology and precipitation that are normally obtained with temporal analysis conducted at regionally aggregated levels (Shen et al ., ). Instead, the real impacts of climate change on the SOS could be benefited from a synthetical method, which may need spatial response analysis to be involved (Liang and Zhang, ), because the differences of some climatic variables like precipitation in space are often more obvious than interannual variations.…”

Section: Introductionmentioning

confidence: 97%

“…() reported that the tree leaf‐out onset along elevational gradient exhibited asynchronous responses to global warming with the reduction of the elevation‐induced phenological shift over the past 50 years. Moreover, recent studies revealed a gradual decrease of temperature sensitivity of plant phenology in arid/semi‐arid areas where preseason water availability is often limited (Chen et al ., ; Forkel et al ., ). Hence, Shen et al .…”

Section: Introductionmentioning

confidence: 99%

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Daily minimum temperature and precipitation control on spring phenology in arid‐mountain ecosystems in China

et al. 2019

Intl Journal of Climatology

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Climate anomaly has caused substantial shifts in phenology of mountain ecosystems, but the underlying mechanism of phenological responses to climate change is still not well understood. In essence, the abundance of vegetation communities increases the complexity of phenology‐climate relationships, leading to a certain limitation in predictions of future dynamics among different vegetation types using a unified model. In this study, we focused on the climatic constraints on spring phenology in arid mountains (AMs) of China, and emphasis was laid on accurate representation of mechanisms that control phenology across different vegetation types. We Firstly explored spatio‐temporal variations in satellite‐derived estimates of starting date of vegetation growing season (SOS) over the period 2000–2015 using moderate‐resolution imaging spectro‐radiometer (MODIS) normalized difference vegetation index (NDVI). Phenological models in response to climate variability were then established by using mixed‐effect models based on satellite observations and an extensive dataset of climatic measurements. Our results showed that the climatic regulation on SOS varied greatly over vegetation types. More climatic factors that regulate phenological development were found in grassland than forest and shrubland. At ecosystem level, two critical climate factors, daily minimum temperature (Tmin) and precipitation, explained 74–95% of total variability in predicted SOS. The observed sensitivity to Tmin is expected to be closely linked with the risk of frost damage, while preseason precipitation determines water availability in spring. The varying ecosystem sensitivity revealed the different resilience and adaptability to changing climate among vegetation types, which have been linked to their eco‐physiological characteristics (e.g., water use efficiency) and environmental conditions (e.g., elevation). Overall, our results indicate a strong dependence of spring phenology on Tmin and precipitation, and create an opportunity for a more realistic representation of vegetation phenology and growth of AM plants in China in land surface models.

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Modeling greenup date of dominant grass species in the Inner Mongolian Grassland using air temperature and precipitation data

Cited by 59 publications

References 34 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

Phenological responses of Icelandic subarctic grasslands to short‐term and long‐term natural soil warming

Daily minimum temperature and precipitation control on spring phenology in arid‐mountain ecosystems in China

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