Phenological control of vegetation biophysical feedbacks to the regional climate
Phenology shifts influence regional climate by altering energy, and water fluxes through biophysical processes. However, a quantitative understanding of the phenological control on vegetation’s biophysical feedbacks to regional climate remains elusive. Using long-term remote sensing observations and...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-02-01
|
| Series: | Geography and Sustainability |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666683924000488 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841561269387132928 |
|---|---|
| author | Lingxue Yu Ye Liu Fengqin Yan Lijie Lu Xuan Li Shuwen Zhang Jiuchun Yang |
| author_facet | Lingxue Yu Ye Liu Fengqin Yan Lijie Lu Xuan Li Shuwen Zhang Jiuchun Yang |
| author_sort | Lingxue Yu |
| collection | DOAJ |
| description | Phenology shifts influence regional climate by altering energy, and water fluxes through biophysical processes. However, a quantitative understanding of the phenological control on vegetation’s biophysical feedbacks to regional climate remains elusive. Using long-term remote sensing observations and Weather Research and Forecasting (WRF) model simulations, we investigated vegetation phenology changes from 2003 to 2020 and quantified their biophysical controls on the regional climate in Northeast China. Our findings elucidated that earlier green-up contributed to a prolonged growing season in forests, while advanced green-up and delayed dormancy extended the growing season in croplands. This prolonged presence and increased maximum green cover intensified climate-vegetation interactions, resulting in more significant surface cooling in croplands compared to forests. Surface cooling from forest phenology changes was prominent during May’s green-up (-0.53 ± 0.07 °C), while crop phenology changes induced cooling throughout the growing season, particularly in June (-0.47 ± 0.15 °C), July (-0.48 ± 0.11 °C), and September (-0.28 ± 0.09 °C). Furthermore, we unraveled the contributions of different biophysical pathways to temperature feedback using a two-resistance attribution model, with aerodynamic resistance emerging as the dominant factor. Crucially, our findings underscored that the land surface temperature (LST) sensitivity, exhibited substantially higher values in croplands rather than temperate forests. These strong sensitivities, coupled with the projected continuation of phenology shifts, portend further growing season cooling in croplands. These findings contribute to a more comprehensive understanding of the intricate feedback mechanisms between vegetation phenology and surface temperature, emphasizing the significance of vegetation phenology dynamics in shaping regional climate pattern and seasonality. |
| format | Article |
| id | doaj-art-779a3aaf838340069fe3c6b20fd8872f |
| institution | Kabale University |
| issn | 2666-6839 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Geography and Sustainability |
| spelling | doaj-art-779a3aaf838340069fe3c6b20fd8872f2025-01-03T04:09:01ZengElsevierGeography and Sustainability2666-68392025-02-0161100202Phenological control of vegetation biophysical feedbacks to the regional climateLingxue Yu0Ye Liu1Fengqin Yan2Lijie Lu3Xuan Li4Shuwen Zhang5Jiuchun Yang6State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, ChinaPacific Northwest National Laboratory, Richland, WA 99352, USAState Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaState Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, ChinaState Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, ChinaState Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, ChinaState Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China; Corresponding author.Phenology shifts influence regional climate by altering energy, and water fluxes through biophysical processes. However, a quantitative understanding of the phenological control on vegetation’s biophysical feedbacks to regional climate remains elusive. Using long-term remote sensing observations and Weather Research and Forecasting (WRF) model simulations, we investigated vegetation phenology changes from 2003 to 2020 and quantified their biophysical controls on the regional climate in Northeast China. Our findings elucidated that earlier green-up contributed to a prolonged growing season in forests, while advanced green-up and delayed dormancy extended the growing season in croplands. This prolonged presence and increased maximum green cover intensified climate-vegetation interactions, resulting in more significant surface cooling in croplands compared to forests. Surface cooling from forest phenology changes was prominent during May’s green-up (-0.53 ± 0.07 °C), while crop phenology changes induced cooling throughout the growing season, particularly in June (-0.47 ± 0.15 °C), July (-0.48 ± 0.11 °C), and September (-0.28 ± 0.09 °C). Furthermore, we unraveled the contributions of different biophysical pathways to temperature feedback using a two-resistance attribution model, with aerodynamic resistance emerging as the dominant factor. Crucially, our findings underscored that the land surface temperature (LST) sensitivity, exhibited substantially higher values in croplands rather than temperate forests. These strong sensitivities, coupled with the projected continuation of phenology shifts, portend further growing season cooling in croplands. These findings contribute to a more comprehensive understanding of the intricate feedback mechanisms between vegetation phenology and surface temperature, emphasizing the significance of vegetation phenology dynamics in shaping regional climate pattern and seasonality.http://www.sciencedirect.com/science/article/pii/S2666683924000488Phenology shiftsBiophysical feedbackLand-atmosphere interactionsRegional climate simulation |
| spellingShingle | Lingxue Yu Ye Liu Fengqin Yan Lijie Lu Xuan Li Shuwen Zhang Jiuchun Yang Phenological control of vegetation biophysical feedbacks to the regional climate Geography and Sustainability Phenology shifts Biophysical feedback Land-atmosphere interactions Regional climate simulation |
| title | Phenological control of vegetation biophysical feedbacks to the regional climate |
| title_full | Phenological control of vegetation biophysical feedbacks to the regional climate |
| title_fullStr | Phenological control of vegetation biophysical feedbacks to the regional climate |
| title_full_unstemmed | Phenological control of vegetation biophysical feedbacks to the regional climate |
| title_short | Phenological control of vegetation biophysical feedbacks to the regional climate |
| title_sort | phenological control of vegetation biophysical feedbacks to the regional climate |
| topic | Phenology shifts Biophysical feedback Land-atmosphere interactions Regional climate simulation |
| url | http://www.sciencedirect.com/science/article/pii/S2666683924000488 |
| work_keys_str_mv | AT lingxueyu phenologicalcontrolofvegetationbiophysicalfeedbackstotheregionalclimate AT yeliu phenologicalcontrolofvegetationbiophysicalfeedbackstotheregionalclimate AT fengqinyan phenologicalcontrolofvegetationbiophysicalfeedbackstotheregionalclimate AT lijielu phenologicalcontrolofvegetationbiophysicalfeedbackstotheregionalclimate AT xuanli phenologicalcontrolofvegetationbiophysicalfeedbackstotheregionalclimate AT shuwenzhang phenologicalcontrolofvegetationbiophysicalfeedbackstotheregionalclimate AT jiuchunyang phenologicalcontrolofvegetationbiophysicalfeedbackstotheregionalclimate |