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Xiang K, Guo Q, Zhang B, Wang J, Jin N, Wang Z, Liu J, Wang C, Du Z, Wang L, Zhao J. Impact of Preseason Climate Factors on Vegetation Photosynthetic Phenology in Mid-High Latitudes of the Northern Hemisphere. PLANTS (BASEL, SWITZERLAND) 2024; 13:1254. [PMID: 38732469 PMCID: PMC11085198 DOI: 10.3390/plants13091254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2024] [Revised: 04/25/2024] [Accepted: 04/30/2024] [Indexed: 05/13/2024]
Abstract
During the period preceding the vegetation growing season (GS), temperature emerges as the pivotal factor determining phenology in northern terrestrial ecosystems. Despite extensive research on the impact of daily mean temperature (Tmean) during the preseason period, the influence of diurnal temperature range (DTR) on vegetation photosynthetic phenology (i.e., the impact of the plant photosynthetic cycle on seasonal time scale) has largely been neglected. Using a long-term vegetation photosynthetic phenology dataset and historical climate data, we examine vegetation photosynthetic phenology dynamics and responses to climate change across the mid-high latitudes of the Northern Hemisphere from 2001 to 2020. Our data reveal an advancing trend in the start of the GS (SOS) by -0.15 days per year (days yr-1), affecting 72.1% of the studied area. This is particularly pronounced in western Canada, Alaska, eastern Asia, and latitudes north of 60°N. Conversely, the end of the GS (EOS) displays a delaying trend of 0.17 days yr-1, impacting 62.4% of the studied area, especially northern North America and northern Eurasia. The collective influence of an earlier SOS and a delayed EOS has resulted in the notably prolonged length of the GS (LOS) by 0.32 days yr-1 in the last two decades, affecting 70.9% of the studied area, with Eurasia and western North America being particularly noteworthy. Partial correlation coefficients of the SOS with preseason Tmean, DTR, and accumulated precipitation exhibited negative values in 98.4%, 93.0%, and 39.2% of the study area, respectively. However, there were distinct regional variations in the influence of climate factors on the EOS. The partial correlation coefficients of the EOS with preseason Tmean, DTR, and precipitation were positive in 58.6%, 50.1%, and 36.3% of the region, respectively. Our findings unveil the intricate mechanisms influencing vegetation photosynthetic phenology, holding crucial significance in understanding the dynamics of carbon sequestration within terrestrial ecosystems amidst climate change.
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Affiliation(s)
- Kunlun Xiang
- Guangdong Ecological Meteorology Center, Guangzhou 510640, China;
- Chongqing Institute of Meteorological Sciences, Chongqing 401147, China
| | - Qian Guo
- Guangzhou Meteorological Satellite Ground Station, Guangzhou 510640, China;
| | - Beibei Zhang
- Shandong Provincial Key Laboratory of Water and Soil Conservation and Environmental Protection, College of Resources and Environment, Linyi University, Linyi 276000, China; (B.Z.); (Z.W.); (J.L.); (C.W.)
| | - Jiaming Wang
- College of Natural Resources and Environment, Northwest A&F University, Xianyang 712100, China;
| | - Ning Jin
- Department of Resources and Environmental Engineering, Shanxi Institute of Energy, Jinzhong 030600, China;
| | - Zicheng Wang
- Shandong Provincial Key Laboratory of Water and Soil Conservation and Environmental Protection, College of Resources and Environment, Linyi University, Linyi 276000, China; (B.Z.); (Z.W.); (J.L.); (C.W.)
| | - Jiahui Liu
- Shandong Provincial Key Laboratory of Water and Soil Conservation and Environmental Protection, College of Resources and Environment, Linyi University, Linyi 276000, China; (B.Z.); (Z.W.); (J.L.); (C.W.)
| | - Chenggong Wang
- Shandong Provincial Key Laboratory of Water and Soil Conservation and Environmental Protection, College of Resources and Environment, Linyi University, Linyi 276000, China; (B.Z.); (Z.W.); (J.L.); (C.W.)
| | - Ziqiang Du
- Institute of Loess Plateau, Shanxi University, Taiyuan 030006, China;
| | - Liang Wang
- Shandong Provincial Key Laboratory of Water and Soil Conservation and Environmental Protection, College of Resources and Environment, Linyi University, Linyi 276000, China; (B.Z.); (Z.W.); (J.L.); (C.W.)
| | - Jie Zhao
- Shandong Provincial Key Laboratory of Water and Soil Conservation and Environmental Protection, College of Resources and Environment, Linyi University, Linyi 276000, China; (B.Z.); (Z.W.); (J.L.); (C.W.)
- College of Natural Resources and Environment, Northwest A&F University, Xianyang 712100, China;
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Qi X, Liu S, Wu S, Wang J, Wang J, Zheng C, Wang Y, Liu Y, Luo Q, Li Q, Wang L, Zhao J. Interannual Variations in Terrestrial Net Ecosystem Productivity and Climate Attribution in the Southern Hilly Region of China. PLANTS (BASEL, SWITZERLAND) 2024; 13:246. [PMID: 38256799 PMCID: PMC10819449 DOI: 10.3390/plants13020246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/25/2023] [Revised: 12/27/2023] [Accepted: 01/11/2024] [Indexed: 01/24/2024]
Abstract
The vegetation ecosystem in the southern hilly region of China (SHRC) plays a crucial role in the country's carbon reservoir. Clarifying the dynamics of net primary productivity (NPP) in this area and its response to climate factors in the context of climate change is important for national forest ecology, management, and carbon neutrality efforts. This study, based on remote sensing and meteorological data spanning the period 2001 to 2021, aims to unveil the spatiotemporal patterns of vegetation productivity and climate factors in the southern hilly region, explore interannual variation characteristics of vegetation productivity with altitude, and investigate the response characteristics of NPP to various climate factors. The results indicate that from 2001 to 2021, the annual average NPP in the southern hilly region had a significant increasing trend of 2.13 ± 0.78 g m-2 a-1. The trend of NPP varies significantly with altitude. Despite a general substantial upward trend in vegetation NPP, regions at lower elevations exhibit a faster rate of increase, suggesting a diminishing difference in the NPP of different elevation ranges. The overall rise in average temperature has positive implications for the southern hilly region, while the impact of precipitation on vegetation NPP demonstrates noticeable spatial heterogeneity. Regions in which vegetation NPP is significantly negatively correlated with precipitation are mainly concentrated in the southern areas of Guangdong, Fujian, and Jiangxi provinces. In contrast, other regions further away from the southeastern coast tend to exhibit a positive correlation. Over the past two decades, there has been an asymmetry in the diurnal temperature variation in the SHRC, with the nighttime warming rate being 1.8 times that of the daytime warming rate. The positive impact of daytime warming on NPP of vegetation is more pronounced than the impact of nighttime temperature changes. Understanding the spatiotemporal patterns of NPP in the SHRC and the characteristics of its response to climate factors contributes to enhancing our ability to protect and manage vegetation resources amidst the challenges of global climate change.
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Affiliation(s)
- Xin Qi
- Changsha Natural Resources Comprehensive Survey, China Geological Survey, Changsha 410600, China; (X.Q.); (S.W.); (J.W.); (C.Z.); (Y.W.); (Q.L.)
| | - Shuhua Liu
- Shandong Provincial Key Laboratory of Water and Soil Conservation and Environmental Protection, College of Resources and Environment, Linyi University, Linyi 276000, China; (S.L.); (L.W.)
| | - Shaoan Wu
- Changsha Natural Resources Comprehensive Survey, China Geological Survey, Changsha 410600, China; (X.Q.); (S.W.); (J.W.); (C.Z.); (Y.W.); (Q.L.)
| | - Jian Wang
- Changsha Natural Resources Comprehensive Survey, China Geological Survey, Changsha 410600, China; (X.Q.); (S.W.); (J.W.); (C.Z.); (Y.W.); (Q.L.)
| | - Jiaming Wang
- College of Natural Resources and Environment, Northwest A & F University, Yangling 712100, China;
| | - Chao Zheng
- Changsha Natural Resources Comprehensive Survey, China Geological Survey, Changsha 410600, China; (X.Q.); (S.W.); (J.W.); (C.Z.); (Y.W.); (Q.L.)
| | - Yong Wang
- Changsha Natural Resources Comprehensive Survey, China Geological Survey, Changsha 410600, China; (X.Q.); (S.W.); (J.W.); (C.Z.); (Y.W.); (Q.L.)
| | - Yang Liu
- Changsha Natural Resources Comprehensive Survey, China Geological Survey, Changsha 410600, China; (X.Q.); (S.W.); (J.W.); (C.Z.); (Y.W.); (Q.L.)
| | - Quan Luo
- Changsha Natural Resources Comprehensive Survey, China Geological Survey, Changsha 410600, China; (X.Q.); (S.W.); (J.W.); (C.Z.); (Y.W.); (Q.L.)
| | - Qianglong Li
- Changsha Natural Resources Comprehensive Survey, China Geological Survey, Changsha 410600, China; (X.Q.); (S.W.); (J.W.); (C.Z.); (Y.W.); (Q.L.)
| | - Liang Wang
- Shandong Provincial Key Laboratory of Water and Soil Conservation and Environmental Protection, College of Resources and Environment, Linyi University, Linyi 276000, China; (S.L.); (L.W.)
| | - Jie Zhao
- Shandong Provincial Key Laboratory of Water and Soil Conservation and Environmental Protection, College of Resources and Environment, Linyi University, Linyi 276000, China; (S.L.); (L.W.)
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Gao J, Huang W, Gielis J, Shi P. Plant Morphology and Function, Geometric Morphometrics, and Modelling: Decoding the Mathematical Secrets of Plants. PLANTS (BASEL, SWITZERLAND) 2023; 12:3724. [PMID: 37960080 PMCID: PMC10648870 DOI: 10.3390/plants12213724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 10/23/2023] [Indexed: 11/15/2023]
Abstract
Functional plant traits include a plant's phenotypic morphology, nutrient element characteristics, and physiological and biochemical features, reflecting the survival strategies of plants in response to environmental changes [...].
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Affiliation(s)
- Jie Gao
- College of Life Sciences, Xinjiang Normal University, Urumqi 830054, China
| | - Weiwei Huang
- Bamboo Research Institute & College of Ecology and Environment, Nanjing Forestry University, Nanjing 210037, China; (W.H.); (P.S.)
| | - Johan Gielis
- Department of Biosciences Engineering, University of Antwerp, B-2020 Antwerp, Belgium;
| | - Peijian Shi
- Bamboo Research Institute & College of Ecology and Environment, Nanjing Forestry University, Nanjing 210037, China; (W.H.); (P.S.)
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Zhao H, Jin N, Wang X, Fu G, Xiang K, Wang L, Zhao J. The Seasonal Divergence in the Weakening Relationship between Interannual Temperature Changes and Northern Boreal Vegetation Activity. PLANTS (BASEL, SWITZERLAND) 2023; 12:2447. [PMID: 37447007 DOI: 10.3390/plants12132447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 06/20/2023] [Accepted: 06/21/2023] [Indexed: 07/15/2023]
Abstract
The response of boreal vegetation to global warming has shown a weakening trend over the last three decades. However, in previous studies, models of vegetation activity responses to temperature change have often only considered changes in the mean daily temperature (Tmean), with the diurnal temperature range (DTR) being neglected. The goal of this study was to evaluate the temporal trends of the relationships between two temperature factors (Tmean and DTR) and the vegetation activity across the boreal regions on both annual and seasonal timescales, by simultaneously employing satellite and climate datasets. We found that the interannual partial correlation between the growing season (GS) NDVI and Tmean (RNDVI-Tmean) has shown a significant decreasing trend over the last 34 years. At the seasonal scale, the RNDVI-Tmean showed a significant upward trend in the spring, while in the summer and autumn, the RNDVI-Tmean exhibited a significant downward trend. The temporal trend characteristics of the partial correlation between the NDVI and DTR (RNDVI-DTR), at both the GS and seasonal scales, were fully consistent with the RNDVI-Tmean. The area with a significant decrease in the GS RNDVI-Tmean and RNDVI-DTR accounted for approximately 44.4% and 41.2% of the boreal region with the 17-year moving window, respectively. In stark contrast, the area exhibiting a significant increasing trend in the GS RNDVI-Tmean and RNDVI-DTR accounted for only approximately 22.3% and 25.8% of the boreal region with the 17-year moving window, respectively. With respect to the seasonal patterns of the RNDVI-Tmean and RNDVI-DTR, the area with a significant upward trend in the spring was greater than that with a significant downward trend. Nevertheless, more areas had a significant downward trend in the RNDVI-Tmean and RNDVI-DTR in summer and autumn than a significant upward trend. Overall, our research reveals a weakening trend in the impact of temperature on the vegetation activity in the boreal regions and contributes to a deeper understanding of the vegetation response to global warming.
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Affiliation(s)
- Haijiang Zhao
- China Meteorological Administration Xiong'an Atmospheric Boundary Layer Key Laboratory, Xiong'an New Area 071800, China
- Key Laboratory of Meteorology and Ecological Environment of Hebei Province, Shijiazhuang 050021, China
- Zhangjiakou Meteorological Bureau of Hebei Province, Zhangjiakou 075000, China
| | - Ning Jin
- Department of Resources and Environmental Engineering, Shanxi Institute of Energy, Jinzhong 030600, China
| | - Xiurong Wang
- Public Meteorological Service Center, China Meteorological Administration, Beijing 100081, China
| | - Guiqin Fu
- Hebei Meteorological Service Center, Shijiazhuang 050021, China
| | - Kunlun Xiang
- Guangdong Ecological Meteorology Center, Guangzhou 510275, China
| | - Liang Wang
- Shandong Provincial Key Laboratory of Water and Soil Conservation and Environmental Protection, College of Resources and Environment, Linyi University, Linyi 273300, China
| | - Jie Zhao
- Shandong Provincial Key Laboratory of Water and Soil Conservation and Environmental Protection, College of Resources and Environment, Linyi University, Linyi 273300, China
- College of Natural Resources and Environment, Northwest A&F University, Yangling 712100, China
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