Effects of precipitation and temperature on net primary productivity and precipitation use efficiency across China’s grasslands

Sun, Jian; Du, Wenpeng

doi:10.1080/15481603.2017.1351147

Cited by 54 publications

(28 citation statements)

References 61 publications

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“…Precipitation is the essential limiting factor in arid and semi-arid regions [55,56]. Our results confirm that previous studies reported a significant and positive correlation between inter-annual variation of precipitation and NPP at site level studies [57,58].…”

Section: Response Of Grassland Npp To Climate Changesupporting

confidence: 91%

Grassland Productivity Response to Climate Change in the Hulunbuir Steppes of China

Zhang

2019

Sustainability

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As global climate change deeply affects terrestrial ecosystem carbon cycle, it is necessary to understand how grasslands respond to climate change. In this study, we examined the role of climate change on net primary productivity (NPP) from 1961 to 2010 in the Hulunbuir grasslands of China, using a calibrated process-based biogeochemistry model. The results indicated that: Temperature experienced a rise trend from 1961; summer and autumn precipitation showed a rise trend before the 1990s and decline trend after the 1990s. Winter and spring precipitation showed an ascending trend. Simulated NPP had a high inter-annual variability during the study period, ranging from 139 g Cm−2 to 348 g Cm−2. The annual mean NPP was significant and positive in correlation with the annual variation of precipitation, and the trend was first raised then fell with the turn point at the 1990s. Temperature had a 20–30 d lag in summer, but none in spring and autumn; precipitation had a 10–20 d lag in summer. The climate lag effect analysis confirmed that temperature had a positive effect on NPP in spring and a negative effect in summer.

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Section: Response Of Grassland Npp To Climate Changesupporting

confidence: 91%

Grassland Productivity Response to Climate Change in the Hulunbuir Steppes of China

Zhang

2019

Sustainability

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“…Sneva (1997) found positive month-wise correlation between temperature and rainfall in southeastern Oregon. Other recent studies supporting a positive correlation between temperature and precipitation in various climatic regions can be found in (Jain et al, 2013;Sun and Du, 2017;Chen et al, 2013;Mueller and Seneviratne, 2012).…”

Section: Regression Estimation: Auxiliary Information Based Efficientsupporting

confidence: 52%

Annual Characterization of Regional Hydrological Drought using Auxiliary Information under Global Warming Scenario

Ali

Hussain

Faisal

2019

Preprint

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Abstract. Climate change and global warming scenario is likely to increase worsening drought across the World. Drought is a complex natural hazard, which is a composition of many factors such as hydrological, meteorological and agricultural. Accurate characterization of hydrological drought at regional level is challenging. Standardized Drought Indices (SDI) is commonly used method for drought characterization and monitoring. In this study, we proposed a hydrological drought index, which used improved monthly precipitation estimates under global warming scenario. As monthly precipitation records have significant role in regional drought characterization. Therefore, this research suggests auxiliary information as local weights to improve monthly precipitation records in terms of dependence characteristic of temperature with precipitation records under regression estimation settings. Consequently, we proposed a new method of hydrological drought assessment The Locally Weighted Standardized Precipitation Index (LWSDI). We assessed hydrological drought using LWSDI on 10 meteorological stations located in various climatological regions of Pakistan. We compared and evaluated performance of LWSDI with Standardized Precipitation Index (SPI) and Standardized Evapotranspiration Index (SPEI) at 12-month time scale based on Pearson correlation. We found high positive correlation between the LWSDI and existing methods (SPI and SPEI). In summary, improved estimates of precipitation can strengthen drought monitoring system.

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“…However, the temperature and sunshine duration exerted negative effects on the NPP in this study (Figure 3a,c). Generally, the increased temperature and sunshine duration should extend the growth season of plants and increase the amount of dry matter accumulation, causing a positive correlation between temperature and NPP [18]. Actually, there was a significant drop in rainfall (from 458 mm to 177 mm) as temperatures rose (from −0.41 • C to 0.67 • C) from east to west in this study (Table 1), which partly caused an apparent NPP decrease with increasing temperature.…”

Section: Productivity Dynamicsmentioning

confidence: 99%

High Below-Ground Productivity Allocation of Alpine Grasslands on the Northern Tibet

Niu

Zeng

Zhang

et al. 2019

Plants

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The allocation of net primary production (NPP) between above- and belowground components is a key step of ecosystem material cycling and energy flows, which determines many critical parameters, e.g., the fraction of below ground NPP (BNPP) to NPP (fBNPP) and root turnover rates (RTR), in vegetation models. However, direct NPP estimation and partition are scarcely based on field measurements of biomass dynamics in the alpine grasslands on the Northern Tibetan Plateau (NTP). Consequently, these parameters are unverifiable and controversial. Here, we measured above- and belowground biomass dynamics (monthly from May to September each year from 2013 to 2015) to estimate NPP dynamics and allocations in four typical alpine grassland ecosystems, i.e., an alpine meadow, alpine meadow steppe, alpine steppe and alpine desert steppe. We found that NPP and its components, above and below ground NPP (ANPP and BNPP), increased significantly from west to east on the NTP, and ANPP was mainly affected by temperature while BNPP and NPP were mainly affected by precipitation. The bulk of BNPP was generally concentrated in the top 10 cm soil layers in all four alpine grasslands (76.1% ± 9.1%, mean ± SD). Our results showed that fBNPP was significantly different among these four alpine grasslands, with its means in alpine meadow (0.93), alpine desert steppe (0.92) being larger than that in the alpine meadow steppe (0.76) and alpine steppe (0.77). Both temperature and precipitation had significant and positive effects on the fBNPP, while their interaction effects were significantly opposite. RTR decreased with increasing precipitation, but increased with increasing temperature across this ecoregion. Our study illustrated that alpine grasslands on the NTP, especially in the alpine meadow and alpine desert steppe, partitioned an unexpected and greater NPP to below ground than most historical reports across global grasslands, indicating a more critical role of the root carbon pool in carbon cycling in alpine grasslands on the NTP.

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Effects of precipitation and temperature on net primary productivity and precipitation use efficiency across China’s grasslands

Cited by 54 publications

References 61 publications

Grassland Productivity Response to Climate Change in the Hulunbuir Steppes of China

Grassland Productivity Response to Climate Change in the Hulunbuir Steppes of China

Annual Characterization of Regional Hydrological Drought using Auxiliary Information under Global Warming Scenario

High Below-Ground Productivity Allocation of Alpine Grasslands on the Northern Tibet

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