Combined Effects of Precipitation and Temperature on the Responses of Forest Spring Phenology to Winter Snow Cover Dynamics in Northeast China
The start date of vegetation growing season (SOS) is generally considered as an essential indicator to reflect vegetation growth condition. To date, relatively little research has explored the combined effects of temperature and precipitation on the responses of forest spring phenology to snow cover...
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description | The start date of vegetation growing season (SOS) is generally considered as an essential indicator to reflect vegetation growth condition. To date, relatively little research has explored the combined effects of temperature and precipitation on the responses of forest spring phenology to snow cover in detail. To investigate this, we applied the developed plant phenology index (PPI) derived from Moderate Resolution Image Spectroradiometer (MODIS) to estimate SOS over Northeast China from 2004 to 2018, and explored the relationship between SOS and climate variables, such as temperature, precipitation and snow cover. Our results indicated that winter snow cover dynamics had a significant effect on the forest spring growth in the following year. SOS showed a negative correlation with snow cover duration (SCD) and the ending date of snow cover (SCED), whereas had a positive correlation with the onset date of snow cover (SCOD). It implied that a longer SCD, later SCED and earlier SCOD would promote forest growth. Furthermore, we first revealed that SOS was more closely associated with the preseason temperature than winter temperature. Most regions exhibited a significant positive correlation with increasing preseason temperature, but the winter temperature showed an opposite pattern except for the cool-temperate needleleaf forest region. Meanwhile, SOS had a negative relationship with precipitation, especially for preseason precipitation. Furthermore, with increasing of temperature and precipitation in winter, the responses of SOS to snow cover phenology in temperate needleleaf and broadleaf mixed-forest region are contrary to that in the other three regions. During the period from SCED to SOS, the responses of SOS to snow cover phenology varied among different vegetation zones and the gradients of temperature and precipitation. |
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To date, relatively little research has explored the combined effects of temperature and precipitation on the responses of forest spring phenology to snow cover in detail. To investigate this, we applied the developed plant phenology index (PPI) derived from Moderate Resolution Image Spectroradiometer (MODIS) to estimate SOS over Northeast China from 2004 to 2018, and explored the relationship between SOS and climate variables, such as temperature, precipitation and snow cover. Our results indicated that winter snow cover dynamics had a significant effect on the forest spring growth in the following year. SOS showed a negative correlation with snow cover duration (SCD) and the ending date of snow cover (SCED), whereas had a positive correlation with the onset date of snow cover (SCOD). It implied that a longer SCD, later SCED and earlier SCOD would promote forest growth. Furthermore, we first revealed that SOS was more closely associated with the preseason temperature than winter temperature. Most regions exhibited a significant positive correlation with increasing preseason temperature, but the winter temperature showed an opposite pattern except for the cool-temperate needleleaf forest region. Meanwhile, SOS had a negative relationship with precipitation, especially for preseason precipitation. Furthermore, with increasing of temperature and precipitation in winter, the responses of SOS to snow cover phenology in temperate needleleaf and broadleaf mixed-forest region are contrary to that in the other three regions. During the period from SCED to SOS, the responses of SOS to snow cover phenology varied among different vegetation zones and the gradients of temperature and precipitation.</description><identifier>ISSN: 2169-3536</identifier><identifier>EISSN: 2169-3536</identifier><identifier>DOI: 10.1109/ACCESS.2019.2943202</identifier><identifier>CODEN: IAECCG</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Climate change ; Correlation ; forest ; Forest growth ; Forestry ; Hyperspectral imaging ; Indexes ; MODIS ; Phenology ; Precipitation ; Snow ; Snow cover ; Spectroradiometers ; Spring (season) ; spring phenology ; Springs ; Temperature effects ; Vegetation ; Vegetation growth ; Vegetation mapping ; Winter</subject><ispartof>IEEE access, 2019, Vol.7, p.138950-138962</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c408t-b84d0d448b7da1f7c46dafad849f919863e50b300c146a3121cd9ab04810bd7a3</citedby><cites>FETCH-LOGICAL-c408t-b84d0d448b7da1f7c46dafad849f919863e50b300c146a3121cd9ab04810bd7a3</cites><orcidid>0000-0002-7982-7355</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8846681$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,864,2102,4024,27633,27923,27924,27925,54933</link.rule.ids></links><search><creatorcontrib>Qiao, Dejing</creatorcontrib><creatorcontrib>Zhou, Jianmin</creatorcontrib><creatorcontrib>Liang, Shuang</creatorcontrib><creatorcontrib>Fu, Xiyou</creatorcontrib><title>Combined Effects of Precipitation and Temperature on the Responses of Forest Spring Phenology to Winter Snow Cover Dynamics in Northeast China</title><title>IEEE access</title><addtitle>Access</addtitle><description>The start date of vegetation growing season (SOS) is generally considered as an essential indicator to reflect vegetation growth condition. To date, relatively little research has explored the combined effects of temperature and precipitation on the responses of forest spring phenology to snow cover in detail. To investigate this, we applied the developed plant phenology index (PPI) derived from Moderate Resolution Image Spectroradiometer (MODIS) to estimate SOS over Northeast China from 2004 to 2018, and explored the relationship between SOS and climate variables, such as temperature, precipitation and snow cover. Our results indicated that winter snow cover dynamics had a significant effect on the forest spring growth in the following year. SOS showed a negative correlation with snow cover duration (SCD) and the ending date of snow cover (SCED), whereas had a positive correlation with the onset date of snow cover (SCOD). It implied that a longer SCD, later SCED and earlier SCOD would promote forest growth. Furthermore, we first revealed that SOS was more closely associated with the preseason temperature than winter temperature. Most regions exhibited a significant positive correlation with increasing preseason temperature, but the winter temperature showed an opposite pattern except for the cool-temperate needleleaf forest region. Meanwhile, SOS had a negative relationship with precipitation, especially for preseason precipitation. Furthermore, with increasing of temperature and precipitation in winter, the responses of SOS to snow cover phenology in temperate needleleaf and broadleaf mixed-forest region are contrary to that in the other three regions. During the period from SCED to SOS, the responses of SOS to snow cover phenology varied among different vegetation zones and the gradients of temperature and precipitation.</description><subject>Climate change</subject><subject>Correlation</subject><subject>forest</subject><subject>Forest growth</subject><subject>Forestry</subject><subject>Hyperspectral imaging</subject><subject>Indexes</subject><subject>MODIS</subject><subject>Phenology</subject><subject>Precipitation</subject><subject>Snow</subject><subject>Snow cover</subject><subject>Spectroradiometers</subject><subject>Spring (season)</subject><subject>spring phenology</subject><subject>Springs</subject><subject>Temperature effects</subject><subject>Vegetation</subject><subject>Vegetation growth</subject><subject>Vegetation mapping</subject><subject>Winter</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>DOA</sourceid><recordid>eNpNkcFuGyEQhldVKzVK8wS5IPVsFxaWhWO0ddpIURvVqXpELAw2lg1bwKn8En3mEm8UdS4z-jXfz4i_aa4JXhKC5aebYVit18sWE7lsJaMtbt80Fy3hckE7yt_-N79vrnLe4VqiSl1_0fwd4mH0ASxaOQemZBQdekhg_OSLLj4GpINFj3CYIOlyTICqVLaAfkCeYshwJm5jglzQeko-bNDDFkLcx80JlYh--VAgoXWIf9AQn-r4-RT0wZuMfEDfYqpmurLD1gf9oXnn9D7D1Uu_bH7erh6Hr4v771_uhpv7hWFYlMUomMWWMTH2VhPXG8atdtoKJp0kUnAKHR4pxoYwrilpibFSj5gJgkfba3rZ3M2-NuqdqlcfdDqpqL06CzFtlE7Fmz0o3DsCUkgre2CaSy07QwWVbctH6s5eH2evKcXfx_oNahePKdTzVcu6jtO-JbJu0XnLpJhzAvf6KsHqOUc156iec1QvOVbqeqY8ALwSQjDOBaH_AGqlmmc</recordid><startdate>2019</startdate><enddate>2019</enddate><creator>Qiao, Dejing</creator><creator>Zhou, Jianmin</creator><creator>Liang, Shuang</creator><creator>Fu, Xiyou</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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To date, relatively little research has explored the combined effects of temperature and precipitation on the responses of forest spring phenology to snow cover in detail. To investigate this, we applied the developed plant phenology index (PPI) derived from Moderate Resolution Image Spectroradiometer (MODIS) to estimate SOS over Northeast China from 2004 to 2018, and explored the relationship between SOS and climate variables, such as temperature, precipitation and snow cover. Our results indicated that winter snow cover dynamics had a significant effect on the forest spring growth in the following year. SOS showed a negative correlation with snow cover duration (SCD) and the ending date of snow cover (SCED), whereas had a positive correlation with the onset date of snow cover (SCOD). It implied that a longer SCD, later SCED and earlier SCOD would promote forest growth. Furthermore, we first revealed that SOS was more closely associated with the preseason temperature than winter temperature. Most regions exhibited a significant positive correlation with increasing preseason temperature, but the winter temperature showed an opposite pattern except for the cool-temperate needleleaf forest region. Meanwhile, SOS had a negative relationship with precipitation, especially for preseason precipitation. Furthermore, with increasing of temperature and precipitation in winter, the responses of SOS to snow cover phenology in temperate needleleaf and broadleaf mixed-forest region are contrary to that in the other three regions. During the period from SCED to SOS, the responses of SOS to snow cover phenology varied among different vegetation zones and the gradients of temperature and precipitation.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/ACCESS.2019.2943202</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-7982-7355</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Climate change Correlation forest Forest growth Forestry Hyperspectral imaging Indexes MODIS Phenology Precipitation Snow Snow cover Spectroradiometers Spring (season) spring phenology Springs Temperature effects Vegetation Vegetation growth Vegetation mapping Winter |
title | Combined Effects of Precipitation and Temperature on the Responses of Forest Spring Phenology to Winter Snow Cover Dynamics in Northeast China |
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