Spatial pattern reconstruction of regional habitat quality based on the simulation of land use changes from 1975 to 2010

Understanding the spatiotemporal variability of habitat quality as a function of land-use changes is important for expanding scientific knowledge of ecological conservation. In this study, the impacts of land-use change on habitat quality were assessed in two urban agglomerations in China at different stages of development, namely (1) the Yangtze River Delta Urban Agglomeration (YRDUA), which has reached the middle and late stage of urbanization, and (2) the Golden Triangle of Southern Fujian (GTSF), which has reached the middle and early stage. The Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) habitat quality model was applied to determine the habitat quality and the degree of habitat degradation in these two agglomerations. Overall, the habitat quality in the YRDUA was found to be clearly inferior to that in the GTSF. In the GTSF, more than 65% of the habitat was of good or excellent quality, whereas in the YRDUA, less than 45% of the habitat reached this quality. By combining the concepts of land use, landscape, and habitat, the boundary of degradation and the general increase in habitat quality from 2000 to 2015 were found to be mainly related to the landform, the dominant landscape, and the concentration of non-habitat areas. Additionally, the type, distribution, and fragmentation of the dominant habitat were shown to play important roles in habitat quality. Moreover, changes in industrial composition over time were demonstrated to be critical drivers of changes in areas of construction land.

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

Sustainability ◽

10.3390/su122310123 ◽

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.

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Mapping and assessment of future land use change impacts on habitat quality in Lithuania

10.5194/egusphere-egu21-3267 ◽

2021 ◽

Author(s):

Paulo Pereira ◽

Eduardo Gomes ◽

Miguel Inacio ◽

Katarzyna Bogdzevič ◽

Donalda Karnauskaite ◽

...

Keyword(s):

Land Use ◽

Ecosystem Services ◽

Habitat Quality ◽

Agricultural Intensification ◽

Land Use Changes ◽

Land Abandonment ◽

Comparison Function ◽

Invest Model ◽

Landscape Degradation ◽

Social Fund

AbstractHuman activity is directly responsible for land use and land cover changes, affecting different ecosystem services. Thus, from the perspective of land use management is critical to project potential future land-use changes. This study aimed: (i) to detect possible changes in land-use structure in response to different four scenarios, namely: business as usual, urbanization, afforestation and land abandonment, and agricultural intensification scenario; and (ii) to measure the landscape habitat quality (an ecosystem services proxy) according to those projected futures. We selected as case study Lithuania due to the potential future increased human pressures on the landscape, and due to the high landscape value of this territory. The projected year was 2050, and we used the Cellular Automata method (applying the Dinamica EGO software) to project future land-use changes, and the InVEST model to assess the habitat quality. The land-use scenarios outcomes were validated using a fuzzy comparison function, and 80% of accuracy was achieved (comparing a simulated land use map of 2018, and the observed map for the same year). The results showed that the agricultural intensification scenario represents the greatest predicted landscape deterioration (from 0.71 in 2018 to 0.64). In the urbanization scenario, the highest landscape degradation prediction is identified around the most important cities (Vilnius, Kaunas, and Klaip&#279;da). In the opposite direction, the afforestation and land abandonment scenario show the highest improvement on the habitat quality, from 0.71 in 2018 to 0.74.&#160;Acknowledgements&#8220;Lithuanian National Ecosystem Services Assessment and Mapping (LINESAM)&#8221; No. 09.3.3-LMT-K-712-01-0104 is funded by the European Social Fund according to the activity &#8220;Improvement of researchers&#8217; qualification by implementing world-class R&D projects&#8221; of Measure No. 09.3.3-LMT-K-712.

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Impact of Land Use Changes on Habitat Quality in Altay Region

Journal of Resources and Ecology ◽

10.5814/j.issn.1674-764x.2021.06.001 ◽

2021 ◽

Vol 12 (6) ◽

Author(s):

Wang Baixue ◽

Cheng Weiming ◽

Lan Shengxin

Keyword(s):

Land Use ◽

Habitat Quality ◽

Land Use Changes

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Analysis of Land Use Changes and Land Suitability for Rice Fields in Tanjung Jabung Barat District

Jurnal Daur Lingkungan ◽

10.33087/daurling.v4i2.88 ◽

2021 ◽

Vol 4 (2) ◽

pp. 54

Author(s):

Latifah Latifah ◽

Anis Tatik Maryani ◽

Hutwan Syarifuddin ◽

Soni Pratomo

Keyword(s):

Land Use ◽

Spatial Pattern ◽

Agricultural Land ◽

Land Use Changes ◽

Rice Fields ◽

Land Suitability ◽

Lowland Rice ◽

Paddy Fields ◽

Primary Data ◽

Total Change

Conversion of agricultural land to non-agriculture is an unavoidable phenomenon, therefore efforts are needed to regulate land use. The purpose of this study is to analyze the rate of conversion of paddy fields by identifying patterns and spatial changes in land and the factors that influence it, as well as analyzing the suitability and availability of lowland rice fields and the suitability of existing lowland rice fields with spatial pattern plans. The study used primary data in the form of semi-detailed soil maps, and secondary data in the form of supporting data and reports. The analytical tools used are Geographic Information Systems, and binary logistic regression. Based on the results of the analysis, it shows that the overall pattern of land use change is 26 patterns of change with a total change area of 127,154 ha (25.81 %), where the area of rice fields is reduced by 1,241 ha in the period 2010-2018. The locational rent factor that has the greatest chance of causing rice field conversion is the distance to the center of the kelurahan/village with a negative coefficient (-3.25461631). The most dominant actual land suitability for existing lowland rice is S1 (74.58%) then S3rf (13.86%) and S3r (10.83%), S3e (0.55%). Evaluation of the alignment of the actual land suitability of the existing rice fields with the spatial pattern plan obtained in the aligned category (67.65%) and potentially aligned (28.16%) with the proposed recommendation that existing rice fields can be one of the considerations for sustainable food land allocation by carrying out strict control on the conversion of paddy fields as well as increasing management efforts to obtain more optimal rice production results and as a material for consideration in reviewing the spatial planing in the RTRW.

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Analyzing Land-Use Change Scenarios for Ecosystem Services and their Trade-Offs in the Ecological Conservation Area in Beijing, China

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17228632 ◽

2020 ◽

Vol 17 (22) ◽

pp. 8632

Author(s):

Zuzheng Li ◽

Xiaoqin Cheng ◽

Hairong Han

Keyword(s):

Land Use ◽

Ecosystem Services ◽

Carbon Storage ◽

Habitat Quality ◽

Soil Conservation ◽

Land Use Changes ◽

Conservation Area ◽

Trade Offs ◽

Ecological Conservation ◽

Beijing China

It is generally believed that land-use changes can affect a variety of ecosystem services (ES), but the relationships involved remain unclear due to a lack of systematic knowledge and gaps in data. In order to make rational decisions for land-use planning that is grounded in a systematic understanding of trade-offs between different land-use strategies, it is very important to understand the response mechanisms of various ecosystem services to changes in land-use. Therefore, the objective of our study is to assess the effects of land-use change on six ecosystem services and their trade-offs among the ecosystem services in the ecological conservation area (ECA) in Beijing, China. To do this, we projected future land-use in 2030 under three different scenarios: Business as Usual (BAU), Ecological Protection (ELP), and Rapid Urban Development (RUD), using GeoSOS-FLUS model. Then, we quantified six ecosystem services (carbon storage, soil conservation, water purification, habitat quality, flood regulation, and food production) in response to land-use changes from 2015 to 2030, using a spatially explicit InVEST model. Finally, we illustrated the trade-offs and/or synergistic relationships between each ecosystem service quantified under each of the different scenarios in 2030. Results showed that built-up land is projected to increase by 281.18 km2 at the cost of water bodies and cultivated land from 2015 to 2030 under the RUD scenario, while forest land is projected to increase by 152.38 km2 under the ELP scenario. The carbon storage, soil conservation, habitat quality, and the sum of ecosystem services (SES) would enrich the highest level under the ELP scenario. Land-use strategies that follow the ELP scenario can better maintain the ecosystem services and sustainable development of natural and social economic systems.

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