Using remote sensing to monitor the spring phenology of Acadia National Park across elevational gradients
Abstract Greenup dates and their responses to elevation and temperature variations across the mountains of Acadia National Park are monitored using remote sensing data, including Landsat 8 surface reflectances (at a 30‐m spatial resolution) and VIIRS reflectances adjusted to a nadir view (gridded at...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-12-01
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| Series: | Ecosphere |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/ecs2.3888 |
| _version_ | 1818978040963661824 |
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| author | Yan Liu Caitlin McDonough MacKenzie Richard B. Primack Michael J. Hill Xiaoyang Zhang Zhuosen Wang Crystal B. Schaaf |
| author_facet | Yan Liu Caitlin McDonough MacKenzie Richard B. Primack Michael J. Hill Xiaoyang Zhang Zhuosen Wang Crystal B. Schaaf |
| author_sort | Yan Liu |
| collection | DOAJ |
| description | Abstract Greenup dates and their responses to elevation and temperature variations across the mountains of Acadia National Park are monitored using remote sensing data, including Landsat 8 surface reflectances (at a 30‐m spatial resolution) and VIIRS reflectances adjusted to a nadir view (gridded at a 500‐m spatial resolution), during the 2013–2016 growing seasons. The 30‐m resolution provides a better scale for studying the phenology variation across elevational gradients than the 500‐m resolution, as greenup dates monitored at 30‐m scale have better agreement with leaf‐out dates recorded in the field alongside the north–south‐oriented hiking trails on three of the park’s tallest mountains (466 m, 418 m, and 380 m), and can provide landcover‐specific analysis. The spring phenology responses to temperature and elevation vary among different spatial scales. Greenup dates of Acadia National Park monitored at 30‐m scale show a weak advancing trend with higher spring temperature, while greenup dates monitored at 500 m show a weak delaying trend. The species mix within landcover at 30‐m scale could weaken the advancing trend detected at field observation level. The landcover mix and elevation variation within 500‐m scale could alter the spring phenology response to spring temperature variation. Greenup dates monitored at both 30‐m and 500‐m scales vary among different elevational zones, aspects, landcovers, and years. However, the relationship between greenup dates and elevation is rather weak. |
| first_indexed | 2024-12-20T16:37:19Z |
| format | Article |
| id | doaj.art-77b1dbf6c46a4dcc8d2464601203a3ce |
| institution | Directory Open Access Journal |
| issn | 2150-8925 |
| language | English |
| last_indexed | 2024-12-20T16:37:19Z |
| publishDate | 2021-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | Ecosphere |
| spelling | doaj.art-77b1dbf6c46a4dcc8d2464601203a3ce2022-12-21T19:33:08ZengWileyEcosphere2150-89252021-12-011212n/an/a10.1002/ecs2.3888Using remote sensing to monitor the spring phenology of Acadia National Park across elevational gradientsYan Liu0Caitlin McDonough MacKenzie1Richard B. Primack2Michael J. Hill3Xiaoyang Zhang4Zhuosen Wang5Crystal B. Schaaf6School for the Environment University of Massachusetts Boston Boston Massachusetts 02125 USAClimate Change Institute University of Maine Orono Maine 04469 USADepartment of Biology Boston University Boston Massachusetts 02215 USACollege of Science and Engineering Flinders University Adelaide South Australia 5042 AustraliaDepartment of Geography and Geospatial Sciences Geospatial Sciences Center of Excellence South Dakota State University Brookings South Dakota 57007 USAEarth System Science Interdisciplinary Center University of Maryland College Park Maryland 20742 USASchool for the Environment University of Massachusetts Boston Boston Massachusetts 02125 USAAbstract Greenup dates and their responses to elevation and temperature variations across the mountains of Acadia National Park are monitored using remote sensing data, including Landsat 8 surface reflectances (at a 30‐m spatial resolution) and VIIRS reflectances adjusted to a nadir view (gridded at a 500‐m spatial resolution), during the 2013–2016 growing seasons. The 30‐m resolution provides a better scale for studying the phenology variation across elevational gradients than the 500‐m resolution, as greenup dates monitored at 30‐m scale have better agreement with leaf‐out dates recorded in the field alongside the north–south‐oriented hiking trails on three of the park’s tallest mountains (466 m, 418 m, and 380 m), and can provide landcover‐specific analysis. The spring phenology responses to temperature and elevation vary among different spatial scales. Greenup dates of Acadia National Park monitored at 30‐m scale show a weak advancing trend with higher spring temperature, while greenup dates monitored at 500 m show a weak delaying trend. The species mix within landcover at 30‐m scale could weaken the advancing trend detected at field observation level. The landcover mix and elevation variation within 500‐m scale could alter the spring phenology response to spring temperature variation. Greenup dates monitored at both 30‐m and 500‐m scales vary among different elevational zones, aspects, landcovers, and years. However, the relationship between greenup dates and elevation is rather weak.https://doi.org/10.1002/ecs2.3888field observationLandsatmountainous regionspring phenologyVIIRS |
| spellingShingle | Yan Liu Caitlin McDonough MacKenzie Richard B. Primack Michael J. Hill Xiaoyang Zhang Zhuosen Wang Crystal B. Schaaf Using remote sensing to monitor the spring phenology of Acadia National Park across elevational gradients Ecosphere field observation Landsat mountainous region spring phenology VIIRS |
| title | Using remote sensing to monitor the spring phenology of Acadia National Park across elevational gradients |
| title_full | Using remote sensing to monitor the spring phenology of Acadia National Park across elevational gradients |
| title_fullStr | Using remote sensing to monitor the spring phenology of Acadia National Park across elevational gradients |
| title_full_unstemmed | Using remote sensing to monitor the spring phenology of Acadia National Park across elevational gradients |
| title_short | Using remote sensing to monitor the spring phenology of Acadia National Park across elevational gradients |
| title_sort | using remote sensing to monitor the spring phenology of acadia national park across elevational gradients |
| topic | field observation Landsat mountainous region spring phenology VIIRS |
| url | https://doi.org/10.1002/ecs2.3888 |
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