scholarly journals Multi-Scenario Analysis of Habitat Quality in the Yellow River Delta by Coupling FLUS with InVEST Model

2021 ◽  
Vol 18 (5) ◽  
pp. 2389
Author(s):  
Qinglong Ding ◽  
Yang Chen ◽  
Lingtong Bu ◽  
Yanmei Ye
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Habitat Quality ◽  
Scenario Analysis ◽  
Yellow River ◽  
The Yellow River ◽  
Cultivated Land ◽  
Invest Model ◽  
Unused Land ◽  
Dongying City

The past decades were witnessing unprecedented habitat degradation across the globe. It thus is of great significance to investigate the impacts of land use change on habitat quality in the context of rapid urbanization, particularly in developing countries. However, rare studies were conducted to predict the spatiotemporal distribution of habitat quality under multiple future land use scenarios. In this paper, we established a framework by coupling the future land use simulation (FLUS) model with the Intergrated Valuation of Environmental Services and Tradeoffs (InVEST) model. We then analyzed the habitat quality change in Dongying City in 2030 under four scenarios: business as usual (BAU), fast cultivated land expansion scenario (FCLE), ecological security scenario (ES) and sustainable development scenario (SD). We found that the land use change in Dongying City, driven by urbanization and agricultural reclamation, was mainly characterized by the transfer of cultivated land, construction land and unused land; the area of unused land was significantly reduced. While the habitat quality in Dongying City showed a degradative trend from 2009 to 2017, it will be improved from 2017 to 2030 under four scenarios. The high-quality habitat will be mainly distributed in the Yellow River Estuary and coastal areas, and the areas with low-quality habitat will be concentrated in the central and southern regions. Multi-scenario analysis shows that the SD will have the highest habitat quality, while the BAU scenario will have the lowest. It is interesting that the ES scenario fails to have the highest capacity to protect habitat quality, which may be related to the excessive saline alkali land. Appropriate reclamation of the unused land is conducive to cultivated land protection and food security, but also improving the habitat quality and giving play to the versatility and multidimensional value of the agricultural landscape. This shows that the SD of comprehensive coordination of urban development, agricultural development and ecological protection is an effective way to maintain the habitat quality and biodiversity.

scholarly journals Spatio-Temporal Evolution of Land Use Transition and Its Eco-Environmental Effects: A Case Study of the Yellow River Basin, China

Land ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 514
Author(s):  
Dengyu Yin ◽  
Xiaoshun Li ◽  
Guie Li ◽  
Jian Zhang ◽  
Haochen Yu
Keyword(s):  
Land Use ◽  
River Basin ◽  
Yellow River ◽  
Yellow River Basin ◽  
Policy Implications ◽  
The Yellow River ◽  
Cultivated Land ◽  
Land Use Transition ◽  
Unused Land ◽  
The Yellow River Basin

Human activities and environmental deterioration have resulted in land use transition (LUT), which seriously affects the ecosystem service value (ESV) of its region. Therefore, relevant policy measures are urgently needed. Nevertheless, research on the relationships between LUTs and ESVs from the overall watershed scale is lacking. Thus, the geo-information Tupu method was applied to analyze the dynamic patterns of LUT based on land use data from 1990, 2000, 2010, and 2018 of the Yellow River Basin (YRB). Then, a newly revised ecosystem services calculation method was utilized to the responses of ESV to LUTs. The results indicated that the Tupu units of the LUT were mainly based on the mutual transformation of grassland and unused land, and cultivated land and forestland, which were widely distributed in the upper and middle reaches of the basin. The spatial distribution was concentrated, and the expansion’s trend was also obvious. Moreover, the conversion of cultivated land into construction land was mainly distributed in the lower reaches of the basin. During 1990–2018, the total ESV fluctuated and increased (+10.47 × 108 USD) in the YRB. Thereinto, the ESV of grassland (45%) and forestland (30%) made the greatest contribution to the total ESV. As for different reaches, the ESV increased in the upstream, but decreased in the midstream and the downstream. In terms of contribution rate, the conversion of unused land into grassland (12.477%) and grassland into forestland (9.856%) were the main types to enhance the ESV in the YRB, while the conversion of forestland into grassland (−8.047%) and grassland to unused land (−7.358%) were the main types to reduce the ESV. Furthermore, the range of ecological appreciation zones was widely distributed and scattered, while the range of ecological impairment zones was gradually expanded. These findings could have theoretical support and policy implications for land use planning and environmental services in the YRB.

scholarly journals Study On Spatio-Temporal Evolution of Habitat Quality Based On Land-Use Change In Chongming Dongtan, China

2021 ◽  
Author(s):  
Sheng Li ◽  
Bin Dong ◽  
Xiang Gao ◽  
Haifeng Xu ◽  
Chunqiu Ren ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Habitat Quality ◽  
Migratory Birds ◽  
Habitat Degradation ◽  
Water Area ◽  
Ecological Environment ◽  
Cultivated Land ◽  
Construction Land ◽  
Invest Model

Abstract Chongming Dongtan is an important habitat for international migratory birds. It is of great significance to study its land use and habitat quality change for rare waterfowl protection and ecological environment restoration. Based on the land use data in 2002, 2012 and 2020, this paper analyzes the relationship between land use change and habitat quality evolution in Chongming Dongtan in recent 18 years by using InVEST model, land use dynamic degree and land use degree index. The results show that the main types of land use in the study area are water area and cultivated land, followed by woodland, reed beach, grass beach, bare beach and construction land. Among them, bare beach and construction land have changed dramatically, the former continuing to decrease while the latter continuing to increase. And the increasing speed began to slow down after 2012, and the increasing part was mainly from the surrounding cultivated land. Secondly, in terms of time change, the degradation of habitat quality in Chongming Dongtan has been gradually improved from aggravating trend in the past 18 years. In terms of spatial distribution, the habitat degradation degree of Chongming Dongtan is higher in the east and lower in the west, spreading from the center to the surrounding. Based on this, the change of land use and the interference of human activities are the important reasons for the change of ecological environment quality.

Valuation of Flood Reductions in the Yellow River Basin under Land Use Change

2010 ◽  
Vol 136 (1) ◽  
pp. 106-115 ◽  
Author(s):  
Yaqin Qiu ◽  
Yangwen Jia ◽  
Jincheng Zhao ◽  
Xuehong Wang ◽  
Jeff Bennett ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
River Basin ◽  
Yellow River ◽  
Yellow River Basin ◽  
The Yellow River ◽  
The Yellow River Basin

scholarly journals Estimating Changes in Habitat Quality through Land-Use Predictions: Case Study of Roe Deer (Capreolus pygargus tianschanicus) in Jeju Island

2020 ◽  
Vol 12 (23) ◽  
pp. 10123
Author(s):  
Dong-jin Lee ◽  
Seong Woo Jeon
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Protected Areas ◽  
Habitat Quality ◽  
Green Infrastructure ◽  
Roe Deer ◽  
Land Use Changes ◽  
Jeju Island ◽  
Invest Model ◽  
Integrated Valuation

This study predicts future land-use changes and the resulting changes in habitat quality, suggesting a method for establishing land-use management to ensure sustainable wildlife habitats. The conservation effects were verified in terms of wild animal habitat quality according to the designation of protected areas. Land-use change until 2050 was predicted using the Dyna-Conversion of Land Use Change and its effects (Dyna-CLUE) model for Jeju Island, Korea, and the change in the quality of roe deer habitats was predicted using the Integrated Valuation and Environmental Services and Tradeoffs (InVEST) model. Results indicate that, compared to 2030, urbanized area increased by 42.55 km2, farmland decreased by 81.36 km2, and natural area increased by 38.82 km2 by 2050. The average habitat quality on Jeju Island was predicted to decrease from 0.306 in 2030 to 0.303 in 2050. The average habitat quality ranged from 0.477 in 2030 to 0.476 in 2050 in protected areas and 0.281 in 2030 to 0.278 in 2050 outside protected areas. Habitat quality in protected areas was relatively high, and its reduction was limited. Areas with lower habitat quality need approaches such as expanding greenery and improving its quality. By establishing appropriate land-use plans by predicting habitat quality, wildlife habitats can be better maintained and protected, which is a primary goal of green infrastructure.

Relationship between land use change and agricultural production in Chinese Yellow River Basin

2020 ◽  
Author(s):  
Jingjing Liu ◽  
Jing Wang ◽  
Ying Fang ◽  
Zehui Li
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
River Basin ◽  
Agricultural Production ◽  
Yellow River ◽  
Arable Land ◽  
Yellow River Basin ◽  
The Yellow River ◽  
Production Potential ◽  
The Yellow River Basin

<p>The Yellow River basin, from west to east through different gradient terrains and climates, has huge spatial differences of land use and problematic eco‐environment. The understanding of relationship between land use change and agricultural production is crucial for coordinating the conflict between land development and environment protection in the Yellow River basin. In this study, the relationship between changes in arable land and urban land and changes in vegetation cover and agricultural production potential were quantitatively analyzed. Whether reclaimed land in the Yellow River basin can be converted to arable land and whether the occupation of urban land will cause ecosystem degradation were also discussed. The results indicated that: (1) Land use change in the Yellow River basin was greatly influenced by precipitation, which also affected the agricultural production potential and the Normalized Difference Vegetation Index (NDVI) in the Yellow River basin. The implementation of the Grain for Green program (GGP) had an effective restoration for vegetation cover and the resistance of soil erosion. Although the net area of arable land decreased by 71.6 ten thousand ha, the net production potential of arable land still increased by 1.7 ten thousand tons due to the inferior quality of the arable land for ecological restoration. (2) The concentrated distributed grassland and forest shrunk and the supply of ecosystem services and NDVI reduced, leading to ecological degraded in urban agglomeration regions where human activity was concentrated and construction land was increasing rapidly during the period of 2000–2015. The arable land was reduced by 43.3 ten thousand ha due to urban expansion, accounting for 59% of the total area of urban expansion, and consequently the agricultural production potential in the lower reaches was decreased. (3) Although it has not contributed significantly to agricultural production, the reclaimed land can be converted to arable land to a certain extent, due to its reasonable use for improving the ecological status of the Yellow River basin. 34.1 ten thousand ha of unused land and grassland were reclaimed for arable land under the Requisition‐Compensation Equilibrium of Farmland, which accounts for 1.27% of the total arable land. The increase of potential productivity brought by the reclamation of land for agricultural use only accounts for 0.56% of the total arable land potential productivity. However, compared with the whole Yellow River basin and the GGP region, the region with arable land reclaimed by low-coverage grassland and unused land leads to the highest increasing rate of the supply of ecosystem services and NDVI. The results could provide theoretical support and decision-making basis for further eco‐environment reconstruction, and promoting the reasonable land use and high-quality development in the Yellow River basin.</p>

scholarly journals Green Transition of Cultivated Land Use in the Yellow River Basin: A Perspective of Green Utilization Efficiency Evaluation

Land ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 475 ◽  
Author(s):  
Xiao Lu ◽  
Yi Qu ◽  
Piling Sun ◽  
Wei Yu ◽  
Wenlong Peng
Keyword(s):  
Land Use ◽  
River Basin ◽  
Yellow River ◽  
Yellow River Basin ◽  
Utilization Efficiency ◽  
The Yellow River ◽  
Efficiency Evaluation ◽  
Cultivated Land ◽  
Ecological Civilization ◽  
The Yellow River Basin

Exploring the green transition of cultivated land use from the perspective of green utilization efficiency evaluation has become an important content of deepening the study of cultivated land use transition, which is of great significance to promote food security and ecological civilization construction. At present, there are few studies on the green utilization efficiency of cultivated land (GUECL), which covers the comprehensive benefits of economy, ecology and society, combined with the requirements of ecological civilization and green development. Taking 65 cities (regions and autonomous prefectures) of the Yellow River Basin as the basic evaluation unit, the GUECL of the Yellow River Basin is evaluated with a Super-SBM model. In general, the GUECL of the Yellow River Basin was not high at four time points of 2000, 2006, 2012 and 2018, which presents a trend of “rising first and then falling”. Analyzing its temporal and spatial evolution pattern, the GUECL in the upper, middle and lower reaches presented an order of the upper reaches area > the lower reaches area > the middle reaches area; and the spatial variation trend showed a decrease from west to east, and a U-shaped change in the south-north direction. Using spatial correlation analysis, except for the year 2000, the GUECL in the Yellow River Basin presents a general distribution characteristic of spatial agglomeration, which is positively correlated in 2006, 2012 and 2018. The change of spatio-temporal pattern is the result of internal and external factors. The former mainly displays in the main characteristics of farmers, family characteristics and farmers’ cognition, while the latter is reflected in natural, social and policy factors.

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