Quantitative Assessment of the Influences of Snow Drought on Forest and Grass Growth in Mid-High Latitude Regions by Using Remote Sensing
Global climate change, especially the snow drought events, is causing extreme weather events influencing regional vegetation growth and terrestrial ecosystem stability in a long-term and persistent way. In this study, the Sanjiang Plain was selected, as this area has been experiencing snow drought i...
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| Format: | Article |
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MDPI AG
2021-02-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/4/668 |
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| author | Hezhen Lou Xijin Wu Xiaoyu Ren Shengtian Yang Mingyong Cai Pengfei Wang Yabing Guan |
| author_facet | Hezhen Lou Xijin Wu Xiaoyu Ren Shengtian Yang Mingyong Cai Pengfei Wang Yabing Guan |
| author_sort | Hezhen Lou |
| collection | DOAJ |
| description | Global climate change, especially the snow drought events, is causing extreme weather events influencing regional vegetation growth and terrestrial ecosystem stability in a long-term and persistent way. In this study, the Sanjiang Plain was selected, as this area has been experiencing snow drought in the past two decades. Logistic models, combined with multisource remote sensing and unmanned aerial vehicle (UAV) data, as well as the meteorological data over the past 20 years, were used to calculate sixteen phenological periods and biomass. The results show that (1) over the past two decades, snow drought has been based on the snow accumulation and has been occurring more frequently, wider-ranging and more severely; (2) snow drought has advanced the forest start of season (SOS)/end of season (EOS) by 6/5 days, respectively; (3) if the snowfall is greater than 80% of a normal year, the SOS/EOS of grass is postponed by 8/6 days; conversely, if it is less than 80%, the SOS/EOS are advanced by 7/5 days; and (4) biomass decreased approximately 0.61%, compared with an abundant snowfall year. Overall, this study is the first to explore how snow drought impacts the phenological period in a mid-high latitude area, and more attention should be paid to these unknown risks to the ecosystem. |
| first_indexed | 2024-03-09T00:56:39Z |
| format | Article |
| id | doaj.art-801fee1da7c14fb1ad015111d4275641 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T00:56:39Z |
| publishDate | 2021-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-801fee1da7c14fb1ad015111d42756412023-12-11T16:53:28ZengMDPI AGRemote Sensing2072-42922021-02-0113466810.3390/rs13040668Quantitative Assessment of the Influences of Snow Drought on Forest and Grass Growth in Mid-High Latitude Regions by Using Remote SensingHezhen Lou0Xijin Wu1Xiaoyu Ren2Shengtian Yang3Mingyong Cai4Pengfei Wang5Yabing Guan6Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, College of Water Sciences, Beijing Normal University, Beijing 100875, ChinaBeijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, College of Water Sciences, Beijing Normal University, Beijing 100875, ChinaBeijing Weather Modification Office, Beijing 100089, ChinaBeijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, College of Water Sciences, Beijing Normal University, Beijing 100875, ChinaMinistry of Ecology and Environment Center for Satellite Application on Ecology and Environment, Beijing 100094, ChinaBeijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, College of Water Sciences, Beijing Normal University, Beijing 100875, ChinaBeijing Key Laboratory for Remote Sensing of Environment and Digital Cities, State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, ChinaGlobal climate change, especially the snow drought events, is causing extreme weather events influencing regional vegetation growth and terrestrial ecosystem stability in a long-term and persistent way. In this study, the Sanjiang Plain was selected, as this area has been experiencing snow drought in the past two decades. Logistic models, combined with multisource remote sensing and unmanned aerial vehicle (UAV) data, as well as the meteorological data over the past 20 years, were used to calculate sixteen phenological periods and biomass. The results show that (1) over the past two decades, snow drought has been based on the snow accumulation and has been occurring more frequently, wider-ranging and more severely; (2) snow drought has advanced the forest start of season (SOS)/end of season (EOS) by 6/5 days, respectively; (3) if the snowfall is greater than 80% of a normal year, the SOS/EOS of grass is postponed by 8/6 days; conversely, if it is less than 80%, the SOS/EOS are advanced by 7/5 days; and (4) biomass decreased approximately 0.61%, compared with an abundant snowfall year. Overall, this study is the first to explore how snow drought impacts the phenological period in a mid-high latitude area, and more attention should be paid to these unknown risks to the ecosystem.https://www.mdpi.com/2072-4292/13/4/668climate changesnow droughtvegetation phenologyforest and grass growthremote sensing |
| spellingShingle | Hezhen Lou Xijin Wu Xiaoyu Ren Shengtian Yang Mingyong Cai Pengfei Wang Yabing Guan Quantitative Assessment of the Influences of Snow Drought on Forest and Grass Growth in Mid-High Latitude Regions by Using Remote Sensing Remote Sensing climate change snow drought vegetation phenology forest and grass growth remote sensing |
| title | Quantitative Assessment of the Influences of Snow Drought on Forest and Grass Growth in Mid-High Latitude Regions by Using Remote Sensing |
| title_full | Quantitative Assessment of the Influences of Snow Drought on Forest and Grass Growth in Mid-High Latitude Regions by Using Remote Sensing |
| title_fullStr | Quantitative Assessment of the Influences of Snow Drought on Forest and Grass Growth in Mid-High Latitude Regions by Using Remote Sensing |
| title_full_unstemmed | Quantitative Assessment of the Influences of Snow Drought on Forest and Grass Growth in Mid-High Latitude Regions by Using Remote Sensing |
| title_short | Quantitative Assessment of the Influences of Snow Drought on Forest and Grass Growth in Mid-High Latitude Regions by Using Remote Sensing |
| title_sort | quantitative assessment of the influences of snow drought on forest and grass growth in mid high latitude regions by using remote sensing |
| topic | climate change snow drought vegetation phenology forest and grass growth remote sensing |
| url | https://www.mdpi.com/2072-4292/13/4/668 |
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