Land Use Change and Habitat Quality in Northeast German Agro-landscapes

2001 ◽  
pp. 341-346 ◽  
Author(s):  
R. Wieland ◽  
M. Voss
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Habitat Quality

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.

Future scenarios impact on land use change and habitat quality in Lithuania

2021 ◽  
pp. 111101
Author(s):  
Eduardo Gomes ◽  
Miguel Inácio ◽  
Katažyna Bogdzevič ◽  
Marius Kalinauskas ◽  
Donalda Karnauskaitė ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Habitat Quality ◽  
Future Scenarios

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.

scholarly journals Land use change and its impact on habitat quality in Lake Nansi Basin from 1980 to 2015

2018 ◽  
Vol 30 (2) ◽  
pp. 349-357 ◽  
Author(s):  
ZHANG Dazhi ◽  
◽  
SUN Xiaoyin ◽  
YUAN Xingzhong ◽  
LIU Fei ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Habitat Quality

scholarly journals Impacts of Land-Use Change on Habitat Quality during 1985–2015 in the Taihu Lake Basin

2019 ◽  
Vol 11 (13) ◽  
pp. 3513 ◽  
Author(s):  
Liting Xu ◽  
Sophia Chen ◽  
Yu Xu ◽  
Guangyu Li ◽  
Weizhong Su
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Habitat Quality ◽  
Taihu Lake ◽  
Scientific Basis ◽  
Landscape Patterns ◽  
Lake Basin ◽  
Lake Area ◽  
Hotspot Analysis ◽  
Taihu Lake Basin

Habitat quality (HQ) is of great significance to regional sustainable development, which is a key link for regional ecological security and human welfare. Assessing the temporal and spatial evolution of HQ caused by land-use change could provide a scientific basis for regional ecological protection and land management. Here, based on the ArcGIS platform and the InVEST model, this study quantified the spatial and temporal evolutions of land use, landscape patterns, and HQ from 1985 to 2015, in Taihu Lake Basin (TLB). Hotspot analysis tools were used to identify the spatial agglomeration and evolution characteristics of HQ in TLB. The results showed that, (1) the land use and landscape pattern in TLB experienced dramatic change process during 1985–2015, with the dominating conversion being from farmland to construction land, which led to an increase in landscape heterogeneity and fragmentation. (2) The HQ was generally reduced in the past 30 years. In particular, the decline of HQ was extremely severe in the peripheral area of cities and roads, due to urban sprawl. (3) Regarding the spatial distribution of HQ, the northern and eastern areas were generally higher, while the western and southern areas were generally lower. The hotspots areas were mainly located in the southwestern mountain area and west-central lake area, while the cold spots areas were mainly located in urban areas in the north and the east. (4) The area and degree of habitat degradation were both increased significantly due to land-use change, and the degradation of the Taihu Lake was highlighted. Strengthening the ecological environment management and reducing the threat of urban expansion to the HQ is urgently required. This study could help understand HQ of the TLB and provide a scientific basis for decision-makers.

The influence of land use change on the spatial–temporal variability of habitat quality between 1990 and 2010 in Northeast China

2018 ◽  
Vol 30 (6) ◽  
pp. 2227-2236 ◽  
Author(s):  
Limin Dai ◽  
Shanlin Li ◽  
Bernard J. Lewis ◽  
Jian Wu ◽  
Dapao Yu ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Habitat Quality ◽  
Temporal Variability ◽  
Northeast China

scholarly journals Response of land use change and ecosystem services based on different functional scenarios: Case study of Nanjing

2020 ◽  
Author(s):  
Ziyi Wang ◽  
Yu wang ◽  
Jingxiang Zhang ◽  
Dongqi Sun ◽  
Zihang Zhou
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Land Use Change ◽  
Carbon Storage ◽  
Habitat Quality ◽  
Water Purification ◽  
Soil Conservation ◽  
Urban Land Use ◽  
Main Function ◽  
Trade Offs

AbstractLand Use/Land Cover Change (LUCC) is one of the important reasons for the change of ecosystem services (ESs). Due to the uncertainty of future development policies and the complexity of LUCC, assessing the impact of future urban sprawl on ecosystem services remains challenging. We simulated the effect of urban land-use change on ESs on the basis of different functional scenarios, which is of important value to urban land-use planning and ESs protection. In our study, we designed three scenarios: Production function priority scenario (PFP scenario)、 Living function priority scenario (LFP scenario)、 Ecological function priority scenario (EFP Scenario). And we used the GeoSOS-FLUS software to realize visualization. Based on invest model, we evaluated five types of ESs: carbon storage, warter yield, habitat quality, water purification and soil conservation. Research showed that from 2000 to 2015, carbon storage, habitat quality and water production in Nanjing decreased significantly, soil conservation increased slightly, and the performance of the two indicators for water purification was not consistent. From different scenarios, carbon storage and habitat quality were the highest in EFP scenario, water yield was the highest in PFP scenario and soil conservation was the highest in LFP scenario. We analyzed the trade-offs among various ESs, found that the change of land-use types in cities does not fundamentally change the trade-offs among various ESs. We believed that the determination of the main function of LUCC was the first condition to judge the applicability of scenario, and the scenario simulation which integrated the main function of the city could provide more references for the related research.

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