Cooling effect induced by vegetation restoration on the Loess Plateau

Jiaojiao, 苟娇娇 Gou; Fei, 王飞 Wang; Kai, 金凯 Jin; Qiang, 董强 Dong

doi:10.5846/stxb201711272118

Cited by 3 publications

(4 citation statements)

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“…Excessive precipitation will cause waterlogging, which affects the root vitality of vegetation roots and ultimately affects the normal growth of plants (Tian et al, 2022), so there were abrupt changes in PUE in 2003 and 2007. Previous studies have shown that with the implementation and advancement of a series of ecological restoration projects, such as the turn marginal farmland into forest or grassland, the Three‐North shelter forest program and natural forest protection projects, the vegetation cover of the Yellow River Basin has shown a significant growth trend (Gao et al, 2017), but the vegetation restoration of the LP has shown a phased characteristic, with more afforestation and grass planting in 2001–2010, and the growth rate of vegetation cover was faster in the same period, while the vegetation cover slightly decreased in 2011. In 2012, and the growth rate of vegetation cover in the LP accelerated again, so that the change of GPP dominated the sudden change of PUE in 2012.…”

Section: Discussionmentioning

confidence: 99%

Distribution, trends and drivers of precipitation use efficiency in the loess plateau

Shi,

Zhang,

Ding

et al. 2024

Hydrological Processes

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Against the background of climate change, the global carbon and water cycle has undergone significant changes, and it is of great significance to explore the interrelationships of the carbon and water cycles in different regions to cope with future climate change. In this study, based on gross primary productivity (GPP) and precipitation (PRE) data, the precipitation use efficiency (PUE) of the Loess Plateau (LP) was calculated, and the Sen trend analysis and Mann‐Kendall test were used to analyse the temporal and spatial variation characteristics of PUE, as well as the first‐order difference method was used to derive the relative contributions to quantify the impact of vegetation growth and meteorological factors on PUE. The results show that (1) from 2001 to 2018, the spatial distribution pattern of vegetation PUE exhibited an increasing trend from northwest to southeast. On the time scale, the multi‐year average value of PUE was 1.17 gC m−2 mm−1, showing an overall upward trend. Among the different land cover types, paddy fields had the highest PUE level, and sparse grassland had the lowest; (2) LAI had the highest relative contribution to vegetation PUE, followed by temperature (Temp), net radiation of the ground surface (RN), specific humidity (Shum), and wind speed (WS). LAI contributes positively to 88.9% of the area. RN positively influences high‐altitude areas, while Shum had a larger area with a negative contribution. The contribution of Temp increases from northwest to southeast, and WS has balanced positive and negative contributions; (3) LAI is the dominant factor for the spatial and temporal variation of PUE in the LP, and the size of the areas where different meteorological factors dominate the changes of PUE are as follows: WS > Shum>RN > Temp. At high altitudes, the dominant meteorological driver is WS, while at low altitudes, the dominant climate driver is Shum. This study is of guiding significance for the ecological restoration and management of the LP, and it can also provide a scientific basis for the improvement of ecosystems and the sustainable management of water resources in the context of global climate change.

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Section: Discussionmentioning

confidence: 99%

Distribution, trends and drivers of precipitation use efficiency in the loess plateau

Shi,

Zhang,

Ding

et al. 2024

Hydrological Processes

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“…Scholars have shown great concern for the changes in its vegetation cover [16][17][18]. In 1999, China implemented measures such as "returning farmland to forests and grassland" to combat soil erosion and enhance the ecological environment on the Loess Plateau [19,20]. Yi et al [21] demonstrated that the NDVI in the growing season of the Loess Plateau showed an increasing trend from 1999 to 2010, and the increase was more significant in the central region.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Spatial and Temporal Changes in Vegetation Cover and Driving Forces in the Wuding River Basin, Loess Plateau

Zhang,

He,

et al. 2023

Forests

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Vegetation cover in the Loess Plateau region is an important component of ecological protection in the Yellow River Basin, and this study provides a scientific reference for further vegetation restoration. Based on Landsat images and related data, we utilized the dimidiate pixel model and Geodetector method to study the vegetation cover in the Wuding River Basin from 2000 to 2022. The results indicated the spatial and temporal distribution of the vegetation cover and its changes over the study period. Additionally, the driving factors influencing its spatial changes were also uncovered. We also propose a land use shift vegetation cover contribution formula to quantify the effect of land type change on the FVC. The study showed that (1) the overall vegetation cover of the watershed increased significantly, and the FVC showed an increasing trend from 2000 to 2013 and a slow decline from 2013 to 2022, with the gradual transformation of low-graded FVC into a higher graded one. (2) The FVC increased spatially from northwest to southeast, and the trend of future changes is mainly decreasing. (3) The strongest explanatory power for the FVC change is the land use type and its interactive combination with rainfall. (4) The conversion of grassland to cropland contributes the most to the vegetation cover at 1.52%, and the increase in the cropland area is more conducive to the increase in the vegetation cover.

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“…For example, by using the regional climate model (NCC/RegCM), Ding et al (2005) found that desertification in Inner Mongolia results in rainfall decreases in many regions, especially in North China and Northwest China. Gou et al (2018) found that vegetation restoration can effectively reduce temperature on the Loess Plateau (LP) through the cross-checking of spatial change and surface heat balance analysis. These studies clearly showed that vegetation can drive regional microclimate changes through evapotranspiration.…”

Section: Introductionmentioning

confidence: 99%

“…Previous studies are mainly based on the cross-validation of observation data or statistical methods to study the impact of ET on the climate (Ouyang et al, 2014;Gou et al, 2018), and the quantitative estimation is mostly concentrated on small scales, for example, urban vegetation as a measure to mitigate heat island (Zhang et al, 2013). Therefore, we quantitatively estimated the ET based on the PM and PT-JPL methods and then analyzed the mass of water vapor and heat absorption on the LP.…”

Section: Introductionmentioning

confidence: 99%

Effects of vegetation restoration on local microclimate on the Loess Plateau

et al. 2022

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With the implementation of the Grain for Green Project, vegetation cover has experienced great changes throughout the Loess Plateau (LP). These changes substantially influence the intensity of evapotranspiration (ET), thereby regulating the local microclimate. In this study, we estimated ET based on the Penman-Monteith (PM) method and Priestley-Taylor Jet Propulsion Laboratory (PT-JPL) model and quantitatively estimated the mass of water vapor and heat absorption on the LP. We analyzed the regulatory effect of vegetation restoration on local microclimate from 2000 to 2015 and found the following: (1) Both the leaf area index (LAI) value and actual ET increased significantly across the region during the study period, and there was a significant positive correlation between them in spatial patterns and temporal trends. (2) Vegetation regulated the local microclimate through ET, which increased the absolute humidity by 2.76-3.29 g m -3 , increased the relative humidity by 15.43%-19.31% and reduced the temperature by 5.38-6.43°C per day from June to September. (3) The cooling and humidifying effects of vegetation were also affected by the temperature on the LP. (4) Correlation analysis showed that LAI was significantly correlated with temperature at the monthly scale, and the response of vegetation growth to temperature had no time-lag effect. This paper presents new insights into quantitatively assessing the regulatory effect of vegetation on the local microclimate through ET and helps to objectively evaluate the ecological effects of the Grain for Green Project on the LP.

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Cooling effect induced by vegetation restoration on the Loess Plateau

Cited by 3 publications

References 0 publications

Distribution, trends and drivers of precipitation use efficiency in the loess plateau

Distribution, trends and drivers of precipitation use efficiency in the loess plateau

Analysis of Spatial and Temporal Changes in Vegetation Cover and Driving Forces in the Wuding River Basin, Loess Plateau

Effects of vegetation restoration on local microclimate on the Loess Plateau

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