Jiacheng Zhao

Mr. Jiacheng Zhao

orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
19 March 2023 in Global Change Biology
Verified
Journal Article
Closed access
JZJiacheng Zhao
Jiacheng Zhao
XZXiang Zhao
Xiang Zhao
DWDonghai Wu
Donghai Wu
NMNaika Meili
Naika Meili
SFSimone Fatichi
Simone Fatichi

1 January 2023 in Environmental Research Letters
Verified
Journal Article
Open access
PDF file
JZJiacheng Zhao
Jiacheng Zhao
NMNaika Meili
Naika Meili
XZXiang Zhao
Xiang Zhao
SFSimone Fatichi
Simone Fatichi
The capacity of vegetation to mitigate excessive urban heat has been well documented. However, the cooling potential provided by urban vegetation during heatwaves is less known even though heatwaves have been projected to be more severe with climate change. Across 24 global metropolises, we combine 30 m resolution satellite observations with a theoretical leaf energy balance model to quantify the change of the leaf-to-air temperature difference and stomatal conductance during heatwaves from 2000 to 2020. We found the responses of urban vegetation to heatwaves differ significantly across cities and they are mediated by climate forcing and human management. During heatwaves, vegetation in Mediterranean and midlatitude-humid cities shows a significant decrease in cooling potential in most cases due to large stomatal closures, while vegetation in arid cities shows a cooling enhancement with an unmodified stomatal opening likely in response to intense irrigation. In comparison, the cooling potential of vegetation in high-latitude humid cities does not show significant changes. These responses have implications for future urban vegetation management strategies and urban planning.

30 January 2021 in Remote Sensing
Verified
Journal Article
Open access
PDF file
BMBaohui Mu
Baohui Mu
XZXiang Zhao
Xiang Zhao
DWDonghai Wu
Donghai Wu
XWXinyan Wang
Xinyan Wang
JZJiacheng Zhao
Jiacheng Zhao
NLNaijing Liu
Naijing Liu
It is confirmed that China has been greening over the last two decades. Such greening and its driving factors are therefore significant for understanding the relationship between vegetation and environments. However, studies on vegetation changes and attribution analyses at the national scale are limited in China after 2000. In this study, fractional vegetation cover (FVC) data from Global Land Surface Satellite (GLASS) was used to detect vegetation change trends from 2001 to 2018, and the effects of CO2, temperature, shortwave radiation, precipitation, and land cover change (LCC) on FVC changes were quantified using generalized linear models (GLM). The results showed that (1) FVC in China increased by 14% from 2001 to 2018 with a greening rate of approximately 0.0019/year (p < 0.01), which showed an apparent greening trend. (2) On the whole, CO2, climate-related factors, and LCC accounted for 88% of FVC changes in China, and the drivers explained 82%, 89%, 90%, and 89% of the FVC changes in the Qinghai–Tibet region, northwest region, northern region, and southern region, respectively. CO2 was the major driving factor for FVC changes, accounting for 31% of FVC changes in China, indicating that CO2 was an essential factor in vegetation growth research. (3) The statistical results of pixels with land cover changes showed that LCC explained 12% of FVC changes, LCC has played a relatively important role and this phenomenon may be related to the ecological restoration projects. This study enriches the study of vegetation changes and its driving factors, and quantitatively describes the response relationship between vegetation and its driving factors. The results have an important significance for adjusting terrestrial ecosystem services.

21 January 2020 in Remote Sensing
Verified
Journal Article
Open access
PDF file
XDXiaozheng Du
Xiaozheng Du
XZXiang Zhao
Xiang Zhao
SLShunlin Liang
Shunlin Liang
JZJiacheng Zhao
Jiacheng Zhao
Peipei XuPeipei Xu
Peipei Xu
DWDonghai Wu
Donghai Wu
The global land surface cover is undergoing extensive changes in the context of global change, especially in the Loess Plateau, where ecological restoration policies have been vigorously implemented since 2000. Evaluating the impact of these policies on land cover is of great significance for regional sustainable development. Nonetheless, there are few quantitative assessment studies of the impact of ecological restoration policies on land use and land cover change (LULCC). In this study, a relative contribution conceptual model (RCCM) was used to explore the contribution of the policies to LULCC under the influence of natural background change, which was based on the Markov chain and the future land use simulation (FLUS) model. The results show that LULCC is influenced by ecological restoration policies and the natural environment, of which the policies contribute about 72.37% and natural change contribute about 27.63%. Ecological restoration policies have a profound impact on LULCC, changing the original direction of LULCC greatly. Additionally, these policies regulate the pattern of LULCC by controlling the amount of cropland as a rebalanced leverage. These findings provide useful information for facilitating sustainable ecological development in the Loess Plateau and theoretically supporting environmental decision-making.

22 October 2019 in Remote Sensing
Verified
Journal Article
Open access
PDF file
QZqian zhou
qian zhou
XZXiang Zhao
Xiang Zhao
DWDonghai Wu
Donghai Wu
RTRongyun Tang
Rongyun Tang
XDXiaozheng Du
Xiaozheng Du
YPYifeng Peng
Yifeng Peng
Worldwide urbanization leads to ecological changes around urban areas. However, few studies have quantitatively investigated the impacts of urbanization on vegetation coverage so far. As an important indicator measuring regional environment change, fractional vegetation cover (FVC) is widely used to analyze changes in vegetation in urban areas. In this study, on the basis of a partial derivative model, we quantified the effect of temperature, precipitation, radiation, and urbanization represented as nighttime light on vegetation coverage changes in the Beijing–Tianjin–Hebei (BTH) region during its period of rapid resident population growth from 2001 to 2011. The results showed that (1) the FVC of the BTH region varied from 0.20 to 0.26, with significant spatial heterogeneity. The FVC increased in small cities such as Cangzhou and in the Taihang Mountains, while it decreased in megacities with populations greater than 1 million, such as Beijing and Zhangjiakou Bashang. (2) The BTH region experienced rapid urbanization, with the area of artificial surface increasing by 18.42%. From the urban core area to the fringe area, the urbanization intensity decreased, but the urbanization rate increased. (3) Urbanization and precipitation had the greatest effect on FVC changes. Urbanization dominated the FVC changes in the expanded area, while precipitation had the greatest impacts on the FVC changes in the core area. For future studies on the major influencing factors of FVC changes, quantitative analysis of the contribution of urbanization to FVC changes in urban regions is crucial and will provide scientific perspectives for sustainable urban planning.

2 November 2023 in Global Change Biology
Verified
Journal Article
Open access
NMNaika Meili
Naika Meili
JBJason Beringer
Jason Beringer
JZJiacheng Zhao
Jiacheng Zhao
SFSimone Fatichi
Simone Fatichi
Wildfires are increasing in frequency, intensity, and extent globally due to climate change and they can alter forest composition, structure, and function. The destruction and subsequent regrowth of young vegetation can modify the ecosystem evapotranspiration and downstream water availability. However, the response of forest recovery on hydrology is not well known with even the sign of evapotranspiration and water yield changes following forest fires being uncertain across the globe. Here, we quantify the effects of forest regrowth after catastrophic wildfires on evapotranspiration and runoff in the world's tallest angiosperm forest (Eucalyptus regnans) in Australia. We combine eddy covariance measurements including pre‐ and post‐fire periods, mechanistic ecohydrological modeling and then extend the analysis spatially to multiple fires in eucalypt‐dominated forests in south‐eastern Australia by utilizing remote sensing. We find a fast recovery of evapotranspiration which reaches and exceeds pre‐fire values within 2 years after the bushfire, a result confirmed by eddy covariance data, remote sensing, and modeling. Such a fast evapotranspiration recovery is likely generalizable to tall eucalypt forests in south‐eastern Australia as shown by remote sensing. Once climate variability is discounted, ecohydrological modeling shows evapotranspiration rates from the recovering forest which reach peak values of +20% evapotranspiration 3 years post‐fire. As a result, modeled runoff decreases substantially. Contrary to previous research, we find that the increase in modeled evapotranspiration is largely caused by the aerodynamic effects of a much shorter forest height leading to higher surface temperature, higher humidity gradients and therefore increased transpiration. However, increases in evapotranspiration as well as decreases in runoff caused by the young forest are constrained by energy and water limitations. Our result of an increase in evapotranspiration due to aerodynamic warming in a shorter forest after wildfires could occur in many parts of the world experiencing forest disturbances.