Detection and attribution of long-term and fine-scale changes in spring phenology over urban areas: A case study in New York State
Spring phenology plays an essential role in climate change, terrestrial ecosystem, and public health. Field-based monitoring and understanding of changes in spring phenology for long periods and in large regions are challenging due to the limited in-site observations. Space-based remotely sensed obs...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-06-01
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| Series: | International Journal of Applied Earth Observations and Geoinformation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1569843222000176 |
| _version_ | 1797991330073280512 |
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| author | Linze Li Xuecao Li Ghassem Asrar Yuyu Zhou Min Chen Yelu Zeng Xiaojun Li Fa Li Meng Luo Amir Sapkota Dalei Hao |
| author_facet | Linze Li Xuecao Li Ghassem Asrar Yuyu Zhou Min Chen Yelu Zeng Xiaojun Li Fa Li Meng Luo Amir Sapkota Dalei Hao |
| author_sort | Linze Li |
| collection | DOAJ |
| description | Spring phenology plays an essential role in climate change, terrestrial ecosystem, and public health. Field-based monitoring and understanding of changes in spring phenology for long periods and in large regions are challenging due to the limited in-site observations. Space-based remotely sensed observations offer great potentials for monitoring decadal spring phenology changes from regional to global scales. However, the coarse-scale remotely sensed observations are insufficient to capture fine-scale spring phenology dynamics, especially in urban areas, and this makes it challenging for understanding the combined effects of climate change and urbanization on spring phenology. We derived the start of phenology season (SOS) in New York State using 30 m Landsat observations from 1990 to 2015 to understand the impact of the environment and urbanization on SOS. The results show that SOS for different years reveals heterogeneous spatial distribution. Most regions of New York State have been experiencing significant spring phenology changes in form of earlier onset of vegetation greening, ranging from 0.2 to 0.6 day/year during 1990 to 2015, and this trend varies slightly with latitudes and urbanization levels. Further, spatial correlation analysis shows that the increase in temperature and urbanization could both promote the advancement of SOS. However, the effect of urbanization (partial correlation coefficient (R) ranges from −0.289 to −0.542) on SOS is greater than the effect of temperature (R ranges from 0.006 to −0.192). The study generates a high spatio-temporal resolution spring phenology dataset for ecological, environmental and public health studies, especially in urban areas, and reveals the importance of better accounting for the urbanization effects when quantifying the SOS dynamics in phenology models. |
| first_indexed | 2024-04-11T08:50:25Z |
| format | Article |
| id | doaj.art-1f389d25d7cd4361909046b103e8cd42 |
| institution | Directory Open Access Journal |
| issn | 1569-8432 |
| language | English |
| last_indexed | 2024-04-11T08:50:25Z |
| publishDate | 2022-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Applied Earth Observations and Geoinformation |
| spelling | doaj.art-1f389d25d7cd4361909046b103e8cd422022-12-22T04:33:35ZengElsevierInternational Journal of Applied Earth Observations and Geoinformation1569-84322022-06-01110102815Detection and attribution of long-term and fine-scale changes in spring phenology over urban areas: A case study in New York StateLinze Li0Xuecao Li1Ghassem Asrar2Yuyu Zhou3Min Chen4Yelu Zeng5Xiaojun Li6Fa Li7Meng Luo8Amir Sapkota9Dalei Hao10College of Land Science and Technology, China Agricultural University, Beijing 100083, China; School of Remote Sensing and Information Engineering, Wuhan University, Hubei 430079, China; Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD 20740, USACollege of Land Science and Technology, China Agricultural University, Beijing 100083, China; Corresponding authors.Universities Space Research Association, Columbia, MD 21046, USADepartment of Geology and Atmosphere Sciences, Iowa State University, IA 50014, USADepartment of Forest and Wildlife Ecology, University of Wisconsin-Madison, USACollege of Land Science and Technology, China Agricultural University, Beijing 100083, ChinaINRAE, UMR1391 ISPA, Université de Bordeaux, F-33140 Villenave d'Ornon, FranceClimate and Ecosystem Sciences Division, Climate Sciences Department, Lawrence Berkeley National Laboratory, Berkeley, CA, USAKey Lab of Geographic Information Science (Ministry of Education), School of Geographic Sciences, East China Normal University, 500 Dongchuan Road, Shanghai 200241, ChinaMaryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD 20740, USAAtmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA, USA; Corresponding authors.Spring phenology plays an essential role in climate change, terrestrial ecosystem, and public health. Field-based monitoring and understanding of changes in spring phenology for long periods and in large regions are challenging due to the limited in-site observations. Space-based remotely sensed observations offer great potentials for monitoring decadal spring phenology changes from regional to global scales. However, the coarse-scale remotely sensed observations are insufficient to capture fine-scale spring phenology dynamics, especially in urban areas, and this makes it challenging for understanding the combined effects of climate change and urbanization on spring phenology. We derived the start of phenology season (SOS) in New York State using 30 m Landsat observations from 1990 to 2015 to understand the impact of the environment and urbanization on SOS. The results show that SOS for different years reveals heterogeneous spatial distribution. Most regions of New York State have been experiencing significant spring phenology changes in form of earlier onset of vegetation greening, ranging from 0.2 to 0.6 day/year during 1990 to 2015, and this trend varies slightly with latitudes and urbanization levels. Further, spatial correlation analysis shows that the increase in temperature and urbanization could both promote the advancement of SOS. However, the effect of urbanization (partial correlation coefficient (R) ranges from −0.289 to −0.542) on SOS is greater than the effect of temperature (R ranges from 0.006 to −0.192). The study generates a high spatio-temporal resolution spring phenology dataset for ecological, environmental and public health studies, especially in urban areas, and reveals the importance of better accounting for the urbanization effects when quantifying the SOS dynamics in phenology models.http://www.sciencedirect.com/science/article/pii/S1569843222000176Spring phenologyUrban areasLandsatUrbanization |
| spellingShingle | Linze Li Xuecao Li Ghassem Asrar Yuyu Zhou Min Chen Yelu Zeng Xiaojun Li Fa Li Meng Luo Amir Sapkota Dalei Hao Detection and attribution of long-term and fine-scale changes in spring phenology over urban areas: A case study in New York State International Journal of Applied Earth Observations and Geoinformation Spring phenology Urban areas Landsat Urbanization |
| title | Detection and attribution of long-term and fine-scale changes in spring phenology over urban areas: A case study in New York State |
| title_full | Detection and attribution of long-term and fine-scale changes in spring phenology over urban areas: A case study in New York State |
| title_fullStr | Detection and attribution of long-term and fine-scale changes in spring phenology over urban areas: A case study in New York State |
| title_full_unstemmed | Detection and attribution of long-term and fine-scale changes in spring phenology over urban areas: A case study in New York State |
| title_short | Detection and attribution of long-term and fine-scale changes in spring phenology over urban areas: A case study in New York State |
| title_sort | detection and attribution of long term and fine scale changes in spring phenology over urban areas a case study in new york state |
| topic | Spring phenology Urban areas Landsat Urbanization |
| url | http://www.sciencedirect.com/science/article/pii/S1569843222000176 |
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