Understanding vegetation phenology responses to easily ignored climate factors in china's mid-high latitudes
Abstract Previous studies have primarily focused on the influence of temperature and precipitation on phenology. It is unclear if the easily ignored climate factors with drivers of vegetation growth can effect on vegetation phenology. In this research, we conducted an analysis of the start (SOS) and...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-04-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-024-59336-5 |
| _version_ | 1827277254673039360 |
|---|---|
| author | Qianfeng Wang Huixia Chen Feng Xu Virgílio A. Bento Rongrong Zhang Xiaoping Wu Pengcheng Guo |
| author_facet | Qianfeng Wang Huixia Chen Feng Xu Virgílio A. Bento Rongrong Zhang Xiaoping Wu Pengcheng Guo |
| author_sort | Qianfeng Wang |
| collection | DOAJ |
| description | Abstract Previous studies have primarily focused on the influence of temperature and precipitation on phenology. It is unclear if the easily ignored climate factors with drivers of vegetation growth can effect on vegetation phenology. In this research, we conducted an analysis of the start (SOS) and end (EOS) of the growing seasons in the northern region of China above 30°N from 1982 to 2014, focusing on two-season vegetation phenology. We examined the response of vegetation phenology of different vegetation types to preseason climatic factors, including relative humidity (RH), shortwave radiation (SR), maximum temperature (Tmax), and minimum temperature (Tmin). Our findings reveal that the optimal preseason influencing vegetation phenology length fell within the range of 0–60 days in most areas. Specifically, SOS exhibited a significant negative correlation with Tmax and Tmin in 44.15% and 42.25% of the areas, respectively, while EOS displayed a significant negative correlation with SR in 49.03% of the areas. Additionally, we identified that RH emerged as the dominant climatic factor influencing the phenology of savanna (SA), whereas temperature strongly controlled the SOS of deciduous needleleaf forest (DNF) and deciduous broadleaf forest (DBF). Meanwhile, the EOS of DNF was primarily influenced by Tmax. In conclusion, this study provides valuable insights into how various vegetation types adapt to climate change, offering a scientific basis for implementing effective vegetation adaptation measures. |
| first_indexed | 2024-04-24T07:17:51Z |
| format | Article |
| id | doaj.art-d7c9c0de69c2428c914ccb97388240f3 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-24T07:17:51Z |
| publishDate | 2024-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-d7c9c0de69c2428c914ccb97388240f32024-04-21T11:15:21ZengNature PortfolioScientific Reports2045-23222024-04-0114111310.1038/s41598-024-59336-5Understanding vegetation phenology responses to easily ignored climate factors in china's mid-high latitudesQianfeng Wang0Huixia Chen1Feng Xu2Virgílio A. Bento3Rongrong Zhang4Xiaoping Wu5Pengcheng Guo6College of Environmental and Safety Engineering/The Academy of Digital China (Fujian), Fuzhou UniversityCollege of Environmental and Safety Engineering/The Academy of Digital China (Fujian), Fuzhou UniversityCollege of Environmental and Safety Engineering/The Academy of Digital China (Fujian), Fuzhou UniversityFaculdade de Ciências, Instituto Dom Luiz, Universidade de LisboaCollege of Environmental and Safety Engineering/The Academy of Digital China (Fujian), Fuzhou UniversityCollege of Environmental and Safety Engineering/The Academy of Digital China (Fujian), Fuzhou UniversitySchool of Ecology and Environment, Hainan UniversityAbstract Previous studies have primarily focused on the influence of temperature and precipitation on phenology. It is unclear if the easily ignored climate factors with drivers of vegetation growth can effect on vegetation phenology. In this research, we conducted an analysis of the start (SOS) and end (EOS) of the growing seasons in the northern region of China above 30°N from 1982 to 2014, focusing on two-season vegetation phenology. We examined the response of vegetation phenology of different vegetation types to preseason climatic factors, including relative humidity (RH), shortwave radiation (SR), maximum temperature (Tmax), and minimum temperature (Tmin). Our findings reveal that the optimal preseason influencing vegetation phenology length fell within the range of 0–60 days in most areas. Specifically, SOS exhibited a significant negative correlation with Tmax and Tmin in 44.15% and 42.25% of the areas, respectively, while EOS displayed a significant negative correlation with SR in 49.03% of the areas. Additionally, we identified that RH emerged as the dominant climatic factor influencing the phenology of savanna (SA), whereas temperature strongly controlled the SOS of deciduous needleleaf forest (DNF) and deciduous broadleaf forest (DBF). Meanwhile, the EOS of DNF was primarily influenced by Tmax. In conclusion, this study provides valuable insights into how various vegetation types adapt to climate change, offering a scientific basis for implementing effective vegetation adaptation measures.https://doi.org/10.1038/s41598-024-59336-5PhenologyVegetationPreseasonClimate change |
| spellingShingle | Qianfeng Wang Huixia Chen Feng Xu Virgílio A. Bento Rongrong Zhang Xiaoping Wu Pengcheng Guo Understanding vegetation phenology responses to easily ignored climate factors in china's mid-high latitudes Scientific Reports Phenology Vegetation Preseason Climate change |
| title | Understanding vegetation phenology responses to easily ignored climate factors in china's mid-high latitudes |
| title_full | Understanding vegetation phenology responses to easily ignored climate factors in china's mid-high latitudes |
| title_fullStr | Understanding vegetation phenology responses to easily ignored climate factors in china's mid-high latitudes |
| title_full_unstemmed | Understanding vegetation phenology responses to easily ignored climate factors in china's mid-high latitudes |
| title_short | Understanding vegetation phenology responses to easily ignored climate factors in china's mid-high latitudes |
| title_sort | understanding vegetation phenology responses to easily ignored climate factors in china s mid high latitudes |
| topic | Phenology Vegetation Preseason Climate change |
| url | https://doi.org/10.1038/s41598-024-59336-5 |
| work_keys_str_mv | AT qianfengwang understandingvegetationphenologyresponsestoeasilyignoredclimatefactorsinchinasmidhighlatitudes AT huixiachen understandingvegetationphenologyresponsestoeasilyignoredclimatefactorsinchinasmidhighlatitudes AT fengxu understandingvegetationphenologyresponsestoeasilyignoredclimatefactorsinchinasmidhighlatitudes AT virgilioabento understandingvegetationphenologyresponsestoeasilyignoredclimatefactorsinchinasmidhighlatitudes AT rongrongzhang understandingvegetationphenologyresponsestoeasilyignoredclimatefactorsinchinasmidhighlatitudes AT xiaopingwu understandingvegetationphenologyresponsestoeasilyignoredclimatefactorsinchinasmidhighlatitudes AT pengchengguo understandingvegetationphenologyresponsestoeasilyignoredclimatefactorsinchinasmidhighlatitudes |