Journal of Resources and Ecology ›› 2022, Vol. 13 ›› Issue (2): 257-269.DOI: 10.5814/j.issn.1674-764x.2022.02.009
• Urban Ecosystem • Previous Articles Next Articles
Received:
2020-10-30
Accepted:
2021-11-12
Online:
2022-03-30
Published:
2022-03-09
Contact:
FU Hui
About author:
LI Yujie, E-mail: liyujie1124@126.com
Supported by:
LI Yujie, FU Hui. The Heat Island Effect Response to the Urban Landscape Pattern of Haikou based on the “Source-Sink” Theory[J]. Journal of Resources and Ecology, 2022, 13(2): 257-269.
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URL: http://www.jorae.cn/EN/10.5814/j.issn.1674-764x.2022.02.009
Year | Line code | Sensor | Date | Land cloud cover (%) |
---|---|---|---|---|
2000 | 12446 | Landsat_5TM | 2000-06-19 | 13.00 |
2005 | 12446 | Landsat_5TM | 2005-06-17 | 11.00 |
2010 | 12446 | Landsat_5TM | 2010-07-27 | 8.00 |
2015 | 12446 | Landsat_8OLI_TIRS | 2015-06-26 | 0.78 |
2018 | 12446 | Landsat_8OLI_TIRS | 2018-06-21 | 0.48 |
Table 1 POI data classification statistics
Year | Line code | Sensor | Date | Land cloud cover (%) |
---|---|---|---|---|
2000 | 12446 | Landsat_5TM | 2000-06-19 | 13.00 |
2005 | 12446 | Landsat_5TM | 2005-06-17 | 11.00 |
2010 | 12446 | Landsat_5TM | 2010-07-27 | 8.00 |
2015 | 12446 | Landsat_8OLI_TIRS | 2015-06-26 | 0.78 |
2018 | 12446 | Landsat_8OLI_TIRS | 2018-06-21 | 0.48 |
Fig. 3 Distribution and density of POI and distribution of field sampling points in research area Note: The numbers in the legend represent the reclassification results based on kernel density analysis and larger numbers indicate higher kernel density.
Fig. 1 Distribution of source and sink landscapes along the urban-rural gradient in 2000, 2005, 2010, 2015 and 2018. Note: T1-T21 mean the 21 gradient zones.
Service radius (m) | POI category | Number of effective points | Kernel density search radius (m) |
---|---|---|---|
300-500 | Catering, Resident services, Education and culture | 20074 | 400 |
500-1000 | Wholesale and retail, Financial insurance, Automobile sales and services | 23485 | 750 |
1000-1500 | Transportation and storage, Public facilities, Commercial facilities and services, Sports and leisure, Accommodation, General hospitals | 14884 | 1250 |
1500-2000 | Health and social security, Agriculture, Forestry, Animal husbandry and fishery, Science and technology services, Scenic spots and golf, Park and squares | 1672 | 1750 |
2000-3000 | Villages, Towns, Areas of interest (university towns and international business districts) | 2551 | 2500 |
Table 2 POI data classification statistics
Service radius (m) | POI category | Number of effective points | Kernel density search radius (m) |
---|---|---|---|
300-500 | Catering, Resident services, Education and culture | 20074 | 400 |
500-1000 | Wholesale and retail, Financial insurance, Automobile sales and services | 23485 | 750 |
1000-1500 | Transportation and storage, Public facilities, Commercial facilities and services, Sports and leisure, Accommodation, General hospitals | 14884 | 1250 |
1500-2000 | Health and social security, Agriculture, Forestry, Animal husbandry and fishery, Science and technology services, Scenic spots and golf, Park and squares | 1672 | 1750 |
2000-3000 | Villages, Towns, Areas of interest (university towns and international business districts) | 2551 | 2500 |
Year | Study area | Sink landscape | Woodland | Shrubland | Water | Farmland | Source landscape | Artificial surface | Bare land |
---|---|---|---|---|---|---|---|---|---|
2000 | 0.0264 | 0.0092 | -0.0076 | 0.2938 | -0.0819 | 0.0355 | 0.3763 | 0.3687 | 0.4562 |
2005 | 0.0158 | 0.0049 | -0.0013 | 0.1817 | -0.0928 | 0.0226 | 0.1749 | 0.1733 | 0.1929 |
2010 | 0.3160 | 0.3008 | 0.2854 | 0.4022 | 0.2532 | 0.3219 | 0.4632 | 0.459 | 0.4905 |
2015 | 0.1635 | 0.1198 | 0.0839 | 0.3515 | 0.0112 | 0.1402 | 0.4931 | 0.4846 | 0.5613 |
2018 | -0.0104 | -0.0532 | -0.0963 | 0.1538 | -0.0983 | -0.0438 | 0.2542 | 0.2544 | 0.2525 |
Table 3 HI characteristics of different Source-Sink landscape types
Year | Study area | Sink landscape | Woodland | Shrubland | Water | Farmland | Source landscape | Artificial surface | Bare land |
---|---|---|---|---|---|---|---|---|---|
2000 | 0.0264 | 0.0092 | -0.0076 | 0.2938 | -0.0819 | 0.0355 | 0.3763 | 0.3687 | 0.4562 |
2005 | 0.0158 | 0.0049 | -0.0013 | 0.1817 | -0.0928 | 0.0226 | 0.1749 | 0.1733 | 0.1929 |
2010 | 0.3160 | 0.3008 | 0.2854 | 0.4022 | 0.2532 | 0.3219 | 0.4632 | 0.459 | 0.4905 |
2015 | 0.1635 | 0.1198 | 0.0839 | 0.3515 | 0.0112 | 0.1402 | 0.4931 | 0.4846 | 0.5613 |
2018 | -0.0104 | -0.0532 | -0.0963 | 0.1538 | -0.0983 | -0.0438 | 0.2542 | 0.2544 | 0.2525 |
Fig. 8 Source and sink landscapes contribution index (CI) and landscape effect index (LI) Note: The x-axis of all analysis graphs indicates the gradient band number.
Year | 2000 | 2005 | 2010 | 2015 | 2018 | 2000-2018 |
---|---|---|---|---|---|---|
Pearson correlation coefficient | 0.24 | 0.348 | -0.352 | 0.345 | -0.539* | 0.241* |
Kendall correlation coefficient | -0.2 | 0.063 | -0.248 | -0.524** | -0.19 | -0.195** |
Spearman correlation coefficient | -0.219 | 0.155 | -0.355 | -0.631** | -0.295 | -0.245* |
Table 4 Correlation between LI and Sink-Source landscape area ratio
Year | 2000 | 2005 | 2010 | 2015 | 2018 | 2000-2018 |
---|---|---|---|---|---|---|
Pearson correlation coefficient | 0.24 | 0.348 | -0.352 | 0.345 | -0.539* | 0.241* |
Kendall correlation coefficient | -0.2 | 0.063 | -0.248 | -0.524** | -0.19 | -0.195** |
Spearman correlation coefficient | -0.219 | 0.155 | -0.355 | -0.631** | -0.295 | -0.245* |
Year | 2000 | 2005 | 2010 | 2015 | 2018 | 2000-2018 |
---|---|---|---|---|---|---|
Pearson correlation coefficient | -0.342 | -0.460* | -0.426 | -0.588** | -0.449* | -0.174 |
Kendall correlation coefficient | -0.390* | -0.495** | -0.495** | -0.514** | -0.448** | -0.264** |
Spearman correlation coefficient | -0.517* | -0.655** | -0.626** | -0.631** | -0.544* | -0.377** |
Table 5 Correlation between MHI and Sink-Source landscape area ratio
Year | 2000 | 2005 | 2010 | 2015 | 2018 | 2000-2018 |
---|---|---|---|---|---|---|
Pearson correlation coefficient | -0.342 | -0.460* | -0.426 | -0.588** | -0.449* | -0.174 |
Kendall correlation coefficient | -0.390* | -0.495** | -0.495** | -0.514** | -0.448** | -0.264** |
Spearman correlation coefficient | -0.517* | -0.655** | -0.626** | -0.631** | -0.544* | -0.377** |
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