Spatial pattern change of land use change in tidal flood area of the coast of Cirebon Regency

The northeastern Brazilian region has been vulnerable to hydrometeorological extremes, especially droughts, for centuries. A combination of natural climate variability (most of the area is semi-arid) and water governance problems increases extreme events’ impacts, especially in urban areas. Spatial analysis and visualisation of possible land-use change (LUC) zones and trends (urban growth vectors) can be useful for planning actions or decision-making policies for sustainable development. The Global Human Settlement Layer (GHSL) produces global spatial information, evidence-based analytics, and knowledge describing Earth’s human presence. In this work, the GHSL built-up grids for selected Brazilian cities were used to generate urban models using GIS (geographic information system) technologies and cellular automata for spatial pattern simulations of urban growth. In this work, six Brazilian cities were selected to generate urban models using GIS technologies and cellular automata for spatial pattern simulations of urban sprawl. The main goal was to provide predictive scenarios for water management (including simulations) and urban planning in a region highly susceptible to extreme hazards, such as floods and droughts. The northeastern Brazilian cities’ analysis raises more significant challenges because of the lack of land-use change field data. Findings and conclusions show the potential of dynamic modelling to predict scenarios and support water sensitive urban planning, increasing cities’ coping capacity for extreme hazards.

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Current and Future Land Use Characters of a National Central City in Eco-Fragile Region—A Case Study in Xi’an City Based on FLUS Model

Land ◽

10.3390/land10030286 ◽

2021 ◽

Vol 10 (3) ◽

pp. 286

Author(s):

Dingrao Feng ◽

Wenkai Bao ◽

Meichen Fu ◽

Min Zhang ◽

Yiyu Sun

Keyword(s):

Land Use ◽

Land Use Change ◽

Urban Development ◽

Urban Expansion ◽

Land Use Patterns ◽

Use Patterns ◽

Pattern Change ◽

Land Use Dynamics ◽

The Future ◽

Xi’An City

Land use change plays a key role in terrestrial systems and drives the process of ecological pattern change. It is important to investigate the process of land use change, predict land use patterns, and reveal the characteristics of land use dynamics. In this study, we adopted the Markov model and future land use (FLUS) model to predict the future land use conditions in Xi’an city. Furthermore, we investigated the characteristics of land use change from a novel perspective, i.e., via establishment of a complex network model. This model captured the characteristics of the land use system during different periods. The results indicated that urban expansion and cropland loss played an important role in land use pattern change. The future gravity center of urban development moved along the opposite direction to that from 2000 to 2015 in Xi’an city. Although the rate of urban expansion declined in the future, urban expansion remained the primary driver of land use change. The primary urban development directions were east-southeast (ENE), north-northeast (NNE) and west-southwest (WSW) from 1990 to 2000, 2000 to 2015, and 2015 to 2030, respectively. In fact, cropland played a vital role in land use dynamics regarding all land use types, and the stability of the land use system decreased in the future. Our study provides future land use patterns and a novel perspective to better understand land use change.

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Analysis on spatial pattern change of land use types and its influences on ecosystem services value: a case study of Wuchuan County in China

2007 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2007.4423565 ◽

2007 ◽

Author(s):

Zhigang Xu ◽

Dafang Zhuang

Keyword(s):

Land Use ◽

Ecosystem Services ◽

Spatial Pattern ◽

Ecosystem Services Value ◽

Pattern Change ◽

Land Use Types

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Spatial Pattern of Land Use Change and Its Driving Force in Jiangsu Province

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph110303215 ◽

2014 ◽

Vol 11 (3) ◽

pp. 3215-3232 ◽

Cited By ~ 46

Author(s):

Xindong Du ◽

Xiaobin Jin ◽

Xilian Yang ◽

Xuhong Yang ◽

Yinkang Zhou

Keyword(s):

Land Use ◽

Land Use Change ◽

Spatial Pattern ◽

Driving Force ◽

Jiangsu Province

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Spatial Pattern Dynamics Analysis in Coastal Area Using Spatial Metric in Pekalongan, Indonesia

10.20944/preprints201705.0145.v1 ◽

2017 ◽

Cited By ~ 1

Author(s):

Ali Wijaya ◽

Cahyono Susetyo ◽

Azillatin Q. Diny ◽

Danika H. Nabila ◽

Rahel P. Pamungkas ◽

...

Keyword(s):

Land Use ◽

Land Use Change ◽

Spatial Pattern ◽

Coastal Area ◽

Geographical Information ◽

Northern Coast ◽

Pattern Dynamics ◽

Aggregation Pattern ◽

Development Characteristic ◽

Aggregation Level

Pekalongan is one of several cities that lies in the northern coast of Java island which is often flooded due to sea level rise. This condition impacted its urban development characteristic and increase in the future. In this research both Geographical Information System based and Spatial Metric approach are used. The spatial pattern is analyzed by using spatial metric based on the exploration of land use change that occurred. In this research, the spatial pattern is focused on aggregation pattern and diversity in coastal area. The result shows that the land use of coastal area are dominated with swamp, then followed by settlement and fishpond. It is also shown that the greatest land use change occurred on paddy field and swamp areas. Based on the spatial metric calculation, the aggregation level of land use decrease periodically and has a small growth level. It is indicated from its metric value aggregation and diversity from two periods: 2003-2009 and 2009-2016. Overall the land use of Pekalongan experienced large dynamics, especially in its coastal area. The spatial pattern trend in those area tend to be more sprawl as defined by the decrease of aggregation pattern and low level of land use growth pattern.

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Spatial Pattern Dynamics Analysis at Coastal Area Using Spatial Metric in Pekalongan, Indonesia

10.20944/preprints201705.0149.v1 ◽

2017 ◽

Cited By ~ 1

Author(s):

Ali Wijaya ◽

Cahyono Susetyo ◽

Azillatin Qisthian Diny ◽

Danika Hudani Nabila ◽

Rahel Putri Pamungkas ◽

...

Keyword(s):

Land Use ◽

Land Use Change ◽

Spatial Pattern ◽

Coastal Area ◽

Geographical Information ◽

Northern Coast ◽

Pattern Dynamics ◽

Aggregation Pattern ◽

Development Characteristic ◽

Aggregation Level

Pekalongan is one of several cities that lies in the northern coast of Java island which is often flooded due to sea level rise. This condition impacted its urban development characteristic and increase in the future. In this research both Geographical Information System based and Spatial Metric approach are used. The spatial pattern is analyzed by using spatial metric based on the exploration of land use change that occurred. In this research, the spatial pattern is focused on aggregation pattern and diversity in coastal area. The result shows that the land use of coastal area are dominated with swamp, then followed by settlement and fishpond. It is also shown that the greatest land use change occurred on paddy field and swamp areas. Based on the spatial metric calculation, the aggregation level of land use decrease periodically and has a small growth level. It is indicated from its metric value aggregation and diversity from two periods: 2003-2009 and 2009-2016. Overall the land use of Pekalongan experienced large dynamics, especially in its coastal area. The spatial pattern trend in those area tend to be more sprawl as defined by the decrease of aggregation pattern and low level of land use growth pattern.

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Modeling the spatial pattern of land-use change with GEOMOD2: application and validation for Costa Rica

Agriculture Ecosystems & Environment ◽

10.1016/s0167-8809(01)00183-9 ◽

2001 ◽

Vol 85 (1-3) ◽

pp. 191-203 ◽

Cited By ~ 203

Author(s):

R.Gil Pontius ◽

Joseph D Cornell ◽

Charles A.S Hall

Keyword(s):

Land Use ◽

Costa Rica ◽

Land Use Change ◽

Spatial Pattern

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Changing Landscapes Forest: Implications for its Conservation

Environment and Natural Resources Research ◽

10.5539/enrr.v8n3p44 ◽

2018 ◽

Vol 8 (3) ◽

pp. 44

Author(s):

James Rodríguez-Echeverry ◽

Rodrigo Fuentes ◽

Margareth Leiton ◽

Edilia Jaque

Keyword(s):

Land Use ◽

Land Use Change ◽

Spatial Pattern ◽

Exotic Species ◽

Land Use Planning ◽

Forest Ecosystem ◽

Conservation Strategies ◽

Native Forest ◽

Forest Landscape ◽

The Impact

AbstractThe forest landscape of southern Chile, which includes Chilean temperate forest ecosystem, has been designated as a hotspot for biodiversity conservation. However, this landscape has been transformed by land-use change. A proper knowledge about how land-use change impact this ecosystem would provide crucial information for planning conservation strategies. At the commune of Arauco – Chile, the impact of the land-use change on the spatial pattern of native forest ecosystem from 1990 to 2010 was evaluated at the landscape level. This evaluation was carried out using satellite images, landscape metrics and spatially explicit models. The loss of native forest ecosystem was of 40.7% (loss rate of 4.39% per year). Conversely, the exotic species plantations increased more than 150%. The number patches of native forest ecosystem increased more than 130%. The size distribution of patches (<100 ha) increased more than 22%. The aggregation index of native forest ecosystem decreased from 62.5 to 40.1. The loss of native forest ecosystem was caused by the expansion of exotic species plantations, which was associated with substantial changes in the spatial pattern of the forest landscape. As a strategy for conservation of the native forest ecosystem we suggest a landscape approach, using the corridor–patch–matrix model. We recommend that this strategy be complemented with land-use planning. Moreover, this strategy must be supported by a framework of environmental policies. We also recommend strengthening the existing ecological restoration programmes and developing new programmes to restore the native forest ecosystem.

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