Simulated grazing effects on carbon emission in Central Asia

Han, Qifei; Luo, Geping; Li, Chaofan; Shakir, A. N.; Wu, Miao; Saidov, Abdusattor

doi:10.1016/j.agrformet.2015.10.007

Cited by 70 publications

(48 citation statements)

References 82 publications

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“…In this study, we validated the reliability of the Biome-BGC grazing model in simulating NPP and ET by comparing field data from a previous study [47] and actual observations in the northern Tianshan Mountain grasslands; this approach ensured the validity of the model simulation results with respect to NPP and ET in this region.…”

Section: Discussionmentioning

confidence: 99%

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Ecological Effects of Grazing in the Northern Tianshan Mountains

Huang

Luo

et al. 2017

Water

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Abstract:Identifying the effects of grazing is critical for the conservation, protection and sustainable use of arid grassland ecosystems. However, research regarding the ecological effects of grazing along mountainous elevation gradients is limited in arid areas, particularly at the regional scale. Using the Biome-BGC grazing model, we explored the effects of grazing on grassland net primary productivity (NPP), evapotranspiration (ET) and water use efficiency (WUE) from 1979 to 2012 along an elevation gradient in the northern Tianshan Mountains. The NPP, ET and WUE values were generally lower under the grazing scenario than under the ungrazed scenario; the differences between the grazing and ungrazed scenarios showed increasing trends over time; and distinct spatial heterogeneity in these differences was observed. Distinct decreases in NPP and WUE under the grazing scenario mainly occurred in regions with high livestock consumption. The decrease in ET was greater in mountainous areas with high grazing intensity due to decreased transpiration and increased surface runoff. This study contributes to a better understanding of the ecological effects of grazing along an elevation gradient in the northern Tianshan Mountains and provides data to support the scientific management of grassland ecosystems.

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Section: Discussionmentioning

confidence: 99%

“…In our study, simulated NPP values were compared with field data from a previous study [47], and the model accurately estimated NPP (Figure 3a simulated NPP values were compared with field data from a previous study [47], and the model accurately estimated NPP (Figure 3a …”

Section: Model Validationmentioning

confidence: 99%

Ecological Effects of Grazing in the Northern Tianshan Mountains

Huang

Luo

et al. 2017

Water

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“…And as the first mountain system barrier confronting northern air masses moving into central Asia, the Tianshan mountains area affect the climatic processes occurring in northern central Asia, similar to that of the Himalayas to the south (Aizen et al, 1997). Due to its unique long latitudinal distribution and significant hydrothermal pattern adjustment for central Asia and for the world, there are lots of climatological (Baldwin & Vecchi, 2016;Cai et al, 2019;Zhang et al, 2009), ecological (Han et al, 2016;Zhang et al, 2013), and hydrological (Hagg et al, 2007;Zhang et al, 2018) studies focusing on the Tianshan mountains area.…”

Section: Introductionmentioning

confidence: 99%

Added Value of a Dynamical Downscaling Approach for Simulating Precipitation and Temperature Over Tianshan Mountains Area, Central Asia

et al. 2019

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Progresses in climatological, ecological, and hydrological studies that focused on the Tianshan mountains area (known as “the water tower of central Asia”) have been restricted by the availability of station observations as well as high resolution and quality data set. With the aim to overcome some of these difficulties, the high‐resolution Weather Research and Forecasting (WRF) regional climate model is run over the Tianshan mountains area driven by the ERA‐Interim reanalysis. Double nesting method was used with a horizontal resolution of 40 and 8 km covering the period 1980–2018. A decade of simulation from 1980 to 1989, a period when most abundant station observations are available, is considered for validation. These downscaled results are compared against station observations, ERA‐Interim reanalysis, and three widely used spatially interpolated products in order to investigate the added value of the dynamical downscaling approach. Results of these comparisons show that the WRF‐downscaled data outperform and add significant details to ERA‐Interim reanalysis. A remarkable improvement of the WRF simulation is found at reproducing the observed seasonal cycle of daily extreme temperatures and precipitation. Due to better representation of orography, WRF simulations are able to capture extreme precipitation events that are missing in the high‐quality interpolated products. Refining the resolution from 40 to 8 km further improves the model performance, particularly at depicting orographic enhancement of precipitation. The validated WRF model can be used in future climate projections studies, and this high‐resolution as well as high‐quality climatological data set we present here is useful for impact and further downstream studies.

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“…Vegetation growth of the arid mountainous grasslands in Central Asia is determined by phenology and available P; therefore, these factors are the major determinants of the monthly variations in the ET [25,50]. In drought years, soil water deficits often occur, whereas in wet years, more water is received from the growing season P and Q.…”

Section: Land-atmosphere Water Exchangementioning

confidence: 99%

Land–Atmosphere Exchange of Water and Heat in the Arid Mountainous Grasslands of Central Asia during the Growing Season

Huang

Luo

Wang

2017

Water

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Arid grassland ecosystems are widely distributed across Central Asia. However, there is a lack of research and observations of the land-atmosphere exchange of water and heat in the arid grasslands in this region, particularly over complex surfaces. In this study, systematic observations were conducted from 2013 to 2015 using an HL20 Bowen ratio and TDR300 and WatchDog1400 systems to determine the characteristics of these processes during the growing season (April-October) of the arid mountainous grasslands of this region. (1) The latent heat flux (Le) was lower than the sensible heat flux (He) overall, and a small transient decrease in Le was observed before its daytime maximum; daily comparative variations in both fluxes were closely related to vegetation growth. (2) Evapotranspiration (ET) showed substantial variation across different years, seasons and months, and monthly variations in ET were closely related to vegetation growth. Water condensation (Q) was low and relatively stable. Relatively high levels of soil water were measured in spring followed by a decreasing trend. The land-atmosphere exchange of water and heat during the growing season in this region was closely associated with phenology, available precipitation and terrain. This study provides data support for the scientific management of arid mountainous grasslands.

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Simulated grazing effects on carbon emission in Central Asia

Cited by 70 publications

References 82 publications

Ecological Effects of Grazing in the Northern Tianshan Mountains

Ecological Effects of Grazing in the Northern Tianshan Mountains

Added Value of a Dynamical Downscaling Approach for Simulating Precipitation and Temperature Over Tianshan Mountains Area, Central Asia

Land–Atmosphere Exchange of Water and Heat in the Arid Mountainous Grasslands of Central Asia during the Growing Season

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