| Literature DB >> 25915897 |
Min Zhou1, Shukui Tan1, Lu Zhang1.
Abstract
Land use planning is always officially implemented as an effective tool to control urban development and protect farmland. However, its impact on land use change remains untested in China. Using a case study of Hang-Jia-Hu region, the main objective of this paper was to investigate the influence of different land use spatial control schemes on farmland conversion and urban development. Comparisons of farmland conversion and urban development patterns between the urban planning area and the non-urban planning area were characterized by using remote sensing, geographical information systems, and landscape metrics. Results indicated that farmland conversion in the non-urban planning area was more intensive than that in the urban planning area, and that farmland patterns was more fragmented in the non-urban planning area. Built-up land patterns in the non-urban planning area showed a trend of aggregation, while those in the urban planning area had a dual trend of fragmentation and aggregation. Existing built-up areas had less influence on built-up land sprawl in the non-urban planning area than that in the urban planning area. Built-up land sprawl in the form of continuous development in the urban planning area led to farmland conversion; and in the non-urban planning area, built-up land sprawl in the form of leapfrogging development resulted in farmland areal declines and fragmentation. We argued that it is a basic requirement to integrate land use plans in urban and non-urban planning areas for land use planning and management.Entities:
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Year: 2015 PMID: 25915897 PMCID: PMC4411046 DOI: 10.1371/journal.pone.0125008
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Location and spatial planning domains of Hang-Jia-Hu region, China.
Fig 2Land cover patterns of Hang-Jia-Hu region in 1994 and 2003 (Data source: [31]).
Landscape metrics for built-up land fragmentation in Hang-Jia-Hu region in 1994 and 2003.
| Landscape metrics | 1994 | 2003 | ||||
|---|---|---|---|---|---|---|
| Whole Region | Urban Planning Area | Non-urban Planning Area | Whole Region | Urban Planning Area | Non-urban Planning Area | |
| NP | 99293 | 32171 | 67208 | 146608 | 53998 | 92967 |
| PD | 166.8 | 123.2 | 201.2 | 65.9 | 44.4 | 92.2 |
| LPI | 7.9 | 18.0 | 1.23 | 13.1 | 23.3 | 1.67 |
| SHPAE | 6.0 | 10.5 | 2.4 | 19.0 | 29.7 | 4.7 |
| COHESION | 93.0 | 96.7 | 81.3 | 98.5 | 99.3 | 93.3 |
| AI | 57.5 | 63.2 | 53.0 | 72.1 | 75.9 | 67.6 |
| SPLIT | 146.5 | 29.0 | 1611.8 | 42.0 | 13.4 | 480.9 |
Abbreviations: number of patches (NP), patch density (PD), largest patch index (LPI), landscape shape index (SHAPE), patch cohesion index (COHESION), aggregation Index (AI) and splitting Index (SPLIT).
Moran’s I values for built-up land patterns in Hang-Jia-Hu region in 1994 and 2003.
| 1994 | 2003 | |||
|---|---|---|---|---|
| Moran’s I | P | Moran’s I | P | |
| Whole Region | 0.31 | 0.04 | 0.52 | 0.02 |
| Urban Planning Area | 0.55 | 0.02 | 0.68 | 0.01 |
| Non-urban Planning Area | 0.23 | 0.04 | 0.45 | 0.02 |
Landscape metrics for farmland fragmentation in Hang-Jia-Hu region in 1994 and 2003.
| Landscape metrics | 1994 | 2003 | ||||
|---|---|---|---|---|---|---|
| Whole Region | Urban Planning Area | Non-urban Planning Area | Whole Region | Urban Planning Area | Non-urban Planning Area | |
| NP | 160543 | 18337 | 142594 | 146416 | 28070 | 118676 |
| PD | 13.9 | 3.9 | 20.7 | 17.0 | 8.4 | 22.6 |
| LPI | 75.7 | 27.7 | 34.9 | 71.3 | 25.4 | 48.4 |
| SHPAE | 128.8 | 43.0 | 57.4 | 165.4 | 68.1 | 87.4 |
| COHESION | 100 | 99.9 | 99.8 | 99.9 | 99.9 | 99.8 |
| AI | 90.8 | 94.9 | 88.0 | 86.0 | 87.8 | 84.8 |
| SPLIT | 1.7 | 4.7 | 5.3 | 2.0 | 5.8 | 3.6 |
Abbreviations: number of patches (NP), patch density (PD), largest patch index (LPI), landscape shape index (SHAPE), patch cohesion index (COHESION), aggregation Index (AI) and splitting Index (SPLIT).
Fig 3Spatial patterns of farmland conversion in Hang-Jia-Hu region in 1994 and 2003.