Evaluation of Climate Change Impacts on Wetland Vegetation in Dunhuang Yangguan National Nature Reserve in Northwest China Using Landsat Derived NDVI

Based on 541 Landsat images between 1988 and 2016, the normalized difference vegetation indices (NDVIs) of the wetland vegetation at Xitugou (XTG) and Wowachi (WWC) inside the Dunhuang Yangguan National Nature Reserve (YNNR) in northwest China were calculated for assessing impacts of climate change on wetland vegetation in the YNNR. It was found that the wetland vegetation at the XTG and WWC both had shown a significant increasing trend in the past 30 years, and the increase in both annual mean temperature and peak snow depth over the Altun Mountains led to the increase of wetland vegetation. The influence of local precipitation on the XTG wetland vegetation was greater than on the WWC wetland vegetation, which demonstrates that in extremely arid regions, the major constrain to the wetland vegetation is water availability in soils which is greatly related to the surface water detention and discharge of groundwater. At both XTG and WWC, snowmelt from the Altun Mountains is the main contributor to the groundwater discharge, while local precipitation plays a less role in influencing the wetland vegetation at the WWC than at the XTG, because the wetland vegetation grows on a relatively flat terrain at the WWC, while in a stream channel at the XTG.

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Evaluation of Climate Change Impacts on Wetland Vegetation in the Dunhuang Yangguan National Nature Reserve in Northwest China Using Landsat Derived NDVI

Remote Sensing ◽

10.3390/rs10050735 ◽

2018 ◽

Vol 10 (5) ◽

pp. 735 ◽

Cited By ~ 9

Author(s):

Feifei Pan ◽

Jianping Xie ◽

Juming Lin ◽

Tingwei Zhao ◽

Yongyuan Ji ◽

...

Keyword(s):

Climate Change ◽

Nature Reserve ◽

Climate Change Impacts ◽

Northwest China ◽

Wetland Vegetation ◽

National Nature Reserve

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Impacts of climate change and human factors on land cover change in inland mountain protected areas: a case study of the Qilian Mountain National Nature Reserve in China

Environmental Monitoring and Assessment ◽

10.1007/s10661-019-7619-5 ◽

2019 ◽

Vol 191 (8) ◽

Cited By ~ 2

Author(s):

Dawen Qian ◽

Guangmin Cao ◽

Yangong Du ◽

Qian Li ◽

Xiaowei Guo

Keyword(s):

Climate Change ◽

Land Cover ◽

Human Factors ◽

Protected Areas ◽

Land Cover Change ◽

Nature Reserve ◽

Qilian Mountain ◽

National Nature Reserve ◽

Impacts Of Climate Change

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Vegetation responses to climate change in the Qilian Mountain Nature Reserve, Northwest China

Global Ecology and Conservation ◽

10.1016/j.gecco.2021.e01698 ◽

2021 ◽

pp. e01698

Author(s):

Xiang Gao ◽

Xingxing Huang ◽

Kevin Lo ◽

Qianwen Dang ◽

Ruiyang Wen

Keyword(s):

Climate Change ◽

Nature Reserve ◽

Northwest China ◽

Qilian Mountain ◽

Vegetation Responses

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Assessing biophysical and socio-economic impacts of climate change on regional avian biodiversity

Scientific Reports ◽

10.1038/s41598-021-82474-z ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Simon Kapitza ◽

Pham Van Ha ◽

Tom Kompas ◽

Nick Golding ◽

Natasha C. R. Cadenhead ◽

...

Keyword(s):

Climate Change ◽

Climate Change Impacts ◽

Integrated Modelling ◽

Land Use Patterns ◽

Economic Changes ◽

Use Patterns ◽

Modelling Framework ◽

Avian Biodiversity ◽

Biodiversity Change ◽

Impacts Of Climate Change

AbstractClimate change threatens biodiversity directly by influencing biophysical variables that drive species’ geographic distributions and indirectly through socio-economic changes that influence land use patterns, driven by global consumption, production and climate. To date, no detailed analyses have been produced that assess the relative importance of, or interaction between, these direct and indirect climate change impacts on biodiversity at large scales. Here, we apply a new integrated modelling framework to quantify the relative influence of biophysical and socio-economically mediated impacts on avian species in Vietnam and Australia and we find that socio-economically mediated impacts on suitable ranges are largely outweighed by biophysical impacts. However, by translating economic futures and shocks into spatially explicit predictions of biodiversity change, we now have the power to analyse in a consistent way outcomes for nature and people of any change to policy, regulation, trading conditions or consumption trend at any scale from sub-national to global.

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Possible adaptation measures of agriculture sector in the Nile Delta to climate change impacts

Advances in Science and Research ◽

10.5194/asr-3-123-2009 ◽

2009 ◽

Vol 3 (1) ◽

pp. 123-126 ◽

Cited By ~ 5

Author(s):

S. M. Attaher ◽

M. A. Medany ◽

A. F. Abou-Hadid

Keyword(s):

Climate Change ◽

Nile Delta ◽

Climate Change Impacts ◽

Yield Reduction ◽

Agricultural System ◽

Delta Region ◽

Adaptation Measures ◽

Agriculture Sector ◽

The World ◽

Impacts Of Climate Change

Abstract. The overall agricultural system in the Nile Delta region is considered as one of the highest intensive and complicated agriculture systems in the world. According to the recent studies, the Nile Delta region is one of the highly vulnerable regions in the world to climate change. Sea level rise, soil and water degradation, undiversified crop-pattern, yield reduction, pests and disease severity, and irrigation and drainage management were the main key factors that increased vulnerability of the agriculture sector in that region. The main objective of this study is to conduct a community-based multi-criteria adaptation assessment in the Nile Delta using a preset questionnaire. A list of possible adaptation measures for agriculture sector was evaluated. The results indicated that the Nile Delta growers have strong perceptions to act positively to reduce the impacts of climate change. They reflected the need to improve the their adaptive capacity based on clear scientific message with adequate governmental support to coop with the negative impacts of climate change.

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Modeling the Spatial Distribution of Three Typical Dominant Wetland Vegetation Species’ Response to the Hydrological Gradient in a Ramsar Wetland, Honghe National Nature Reserve, Northeast China

Water ◽

10.3390/w12072041 ◽

2020 ◽

Vol 12 (7) ◽

pp. 2041

Author(s):

Dandan Yan ◽

Zhaoqing Luan ◽

Dandan Xu ◽

Yuanyuan Xue ◽

Dan Shi

Keyword(s):

Spatial Distribution ◽

Water Level ◽

Northeast China ◽

Nature Reserve ◽

Wetland Vegetation ◽

Vegetation Communities ◽

National Nature Reserve ◽

Carex Lasiocarpa ◽

Vegetation Species ◽

Calamagrostis Angustifolia

Water level fluctuations resulting from natural and anthropogenic factors have been projected to affect the functions and structures of wetland vegetation communities. Therefore, it is important to assess the impact of the hydrological gradient on wetland vegetation. This paper presents a case study on the Honghe National Nature Reserve (HNNR) in the Sanjiang Plain, located in Northeast China. In this study, 210 plots from 18 sampling line transects were sampled in 2011, 2012, and 2014 along the hydrological gradient. Using a Gaussian logistic regression model, we determined a relationship between three wetland plant species and a hydrologic indicator—a combination of the water level and soil moisture—and then applied that relationship to simulate the distribution of plants across a larger landscape by the geographic information system (GIS). The results show that the optimum ecological amplitude of Calamagrostis angustifolia to the hydrological gradient based on the probability of occurrence model was [0.09, 0.41], that of Carex lasiocarpa was [0.35, 0.57], and that of Carex pseudocuraica was [0.49, 0.77]. The optimum of Calamagrostis angustifolia was 0.25, Carex lasiocarpa was 0.46, and Carex pseudocuraica was 0.63. Spatial distribution probability maps were generated, as were maps detailing the distribution of the most suitable habitats for wetland vegetation species. Finally, the model simulation results were verified, showing that this approach can be employed to provide an accurate simulation of the spatial distribution pattern of wetland vegetation communities. Importantly, this study suggests that it may be possible to predict the spatial distribution of different species from the hydrological gradient.

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CLIMATE CHANGE KEY-CHALLENGES IN COASTAL ENGINEERING

Coastal Engineering Proceedings ◽

10.9753/icce.v36.risk.33 ◽

2018 ◽

pp. 33

Author(s):

IÃ±igo J. Losada ◽

Paula Camus ◽

Alexandra Toimil ◽

Antonio Espejo ◽

Cristina Izaguirre

Keyword(s):

Climate Change ◽

Climate Change Impacts ◽

Coastal Engineering ◽

Coastal Communities ◽

Decision Makers ◽

Engineering Practice ◽

Continuous Growth ◽

Leading Role ◽

Coastal Systems ◽

Impacts Of Climate Change

Coastal engineers play a leading role in assessing climate change impacts in coastal and low-lying areas and in the design and implementation of adaptation solutions to build resilient coastal systems. Given the continuous growth of coastal communities and assets along the world coastlines, the need to protect and preserve natural and socioeconomic coastal systems and the escalating impacts of climate change (Wong et al. 2014), there is an urgent demand by decision makers for coastal engineering practice dealing with risk assessment and adaptation under high levels of uncertainty.

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