Xinchen Gu

Prof. Dr. Xinchen Gu

Cardiff University, Cardiff, UK
+3
orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

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

Representative Publications

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6 April 2023 in Nature Water
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Journal Article
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JLJingyu Lin
Jingyu Lin
Brett BryanBrett Bryan
Brett Bryan
Xudong ZhouXudong Zhou
Xudong Zhou
PLPeirong Lin
Peirong Lin
HDHong Do
Hong Do
ZYZhifeng Yang
Zhifeng Yang

22 January 2022 in Remote Sensing
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Journal Article
Open access
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HYhaoran yu
haoran yu
Xinchen GuXinchen Gu
Xinchen Gu
GLGuihua Liu
Guihua Liu
XFXin Fan
Xin Fan
QZQi Zhao
Qi Zhao
QZQiang Zhang
Qiang Zhang
The scientific identification of key areas for regional ecological protection represents an important basis for maintaining regional ecological stability and enhancing regional development. It is also a developing methodology of landscape ecology (LE) research. The strategic ecological protection and integrated development of the Yangtze River Delta region is of critical significance for promoting the construction of ecological civilization in the watershed and improving societal health. Here, we analyze Anhui Province and select important ecosystem service functions (biodiversity, carbon fixation, soil conservation function, and water retention) in the study area. We construct a spatial pattern of ecosystem services for multiple scenarios based on the multi-criteria decision-making method ordered weighted averaging (OWA), calculate the trade-off degree and conservation efficiency of each scenario, identify ecological priority conservation areas, use circuit theory to explore ecological corridors and key areas and to construct regional ecological corridors, and identify regional pinch points and barrier points which may impede the construction of regional ecological security patterns. The study area is divided into an ecological protection zone, ecological buffer zone, ecological transition zone, ecological optimization zone, and ecological governance zone. Our results show that: (1) the four types of ecosystems in the study area have similar spatial distribution patterns, with an overall spatial characteristic of “high in the southwest and low in the northeast”; (2) the four types of ecosystem services in the study area show synergistic relationships at the provincial scale, but in areas with different natural and geographical characteristics, there are both synergistic and trade-off relationships between different ecosystem services; (3) a total of 121 ecological source sites were identified in the study area based on multi-criteria decision making which cover an area of 43,222.26 km2, accounting for 30.87% of the total area of the study area; and (4) a total of 250 ecological corridors, 54 pinch points, and 24 barrier points were identified in the study area based on circuit theory. Our results may provide decision support for ecological restoration and land use structure optimization in Anhui Province and other regions.

1 November 2020 in Science of The Total Environment
Verified
Journal Article
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XZXiangxue Zhang
Xiangxue Zhang
Xinchen GuXinchen Gu
Xinchen Gu
CCChangxiu Cheng
Changxiu Cheng
DYDongyang Yang
Dongyang Yang

11 December 2021 in Land
Verified
Journal Article
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XFXin Fan
Xin Fan
Xinchen GuXinchen Gu
Xinchen Gu
HYhaoran yu
haoran yu
ALAihua Long
Aihua Long
DTDamien Sinonmatohou Tiando
Damien Sinonmatohou Tiando
Chunbo HuangChunbo Huang
Chunbo Huang
The survival and sustainability of regional species is constrained by habitat quality. In recent decades, the intensification of human activities on a global scale has had a profound impact on regional ecosystems and poses a serious threat to regional sustainable development. Scientific measurement of the drivers of habitat quality can provide important support for the development of effective biodiversity conservation and sustainable land-use policies. Taking the Hung River Valley as an example, the InVEST model was used to assess the habitat quality of the study area in 2000, 2005, 2010, 2015, and 2020 and to explore its spatial and temporal variation and distribution characteristics in combination with the spatial autocorrelation model, and the geographically weighted regression (GWR) model was used to explore the drivers of habitat quality change. The results show the following: (1) The overall habitat quality shows an increasing trend during 2000–2020, but the expansion of construction land in the central region plays a dominant role in the degradation of regional habitat quality. (2) The “Guide-Ledu” line is the dividing line of habitat quality in the Hung River Valley, with a general distribution of “south is good, north is bad” and “south is hot, north is cold”. (3) Natural factors such as slope and elevation basically shape the overall distribution pattern of habitat quality, while urbanisation factors such as population density, gross domestic product, and the night-time lighting index are generally negatively correlated with habitat quality. The results of the study can reveal the linkage between ecosystems and land-use change in the context of urbanisation.

22 June 2021 in Journal of Arid Land
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YWYuejian Wang
Yuejian Wang
Xinchen GuXinchen Gu
Xinchen Gu
guang yangguang yang
guang yang
JYJunqiang Yao
Junqiang Yao
NLNa Liao
Na Liao

1 February 2021 in Science of The Total Environment
Verified
Journal Article
Closed access
XZXiangxue Zhang
Xiangxue Zhang
Xinchen GuXinchen Gu
Xinchen Gu
LWLi Wang
Li Wang
YZYuke Zhou
Yuke Zhou
ZHZhentao Huang
Zhentao Huang
CCChangxiu Cheng
Changxiu Cheng