Loading…
Spatiotemporal Dynamics of Vegetation Productivity and Its Response to Meteorological Factors in China
Climate is one of the key factors driving changes in vegetation, and the response of the vegetation to climate often occurs with a time delay. However, research on the cumulative lagged response of the vegetation to meteorological factors in large-scale regions is limited. Therefore, this study firs...
Saved in:
Published in: | Atmosphere 2024-04, Vol.15 (4), p.491 |
---|---|
Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | cdi_FETCH-LOGICAL-c365t-82977c9aae306176fa51f169cb0e7e5674074ea87b375fdf46d4d7c982c528e33 |
container_end_page | |
container_issue | 4 |
container_start_page | 491 |
container_title | Atmosphere |
container_volume | 15 |
creator | Gong, Enjun Ma, Zhijin Wang, Zhihui Zhang, Jing |
description | Climate is one of the key factors driving changes in vegetation, and the response of the vegetation to climate often occurs with a time delay. However, research on the cumulative lagged response of the vegetation to meteorological factors in large-scale regions is limited. Therefore, this study first evaluated the performance of the Gross Primary Productivity (GPP) products provided by Moderate Resolution Imaging Spectroradiometer (MODIS) and Penman–Monteith–Leuning (PML) over the past 20 years in China and then determined the lagged relationships between the GPP and major meteorological factors in different regions and land-use types in China based on a partial correlation analysis. The results indicate that (1) GPP_PML outperforms GPP_MODIS products in the regional context of China; (2) China’s regional GPP has shown a fluctuating upward trend over the past 20 years, with a stepwise increase in the multi-year average from the northwest inland to the southeast coastal regions, and a higher contribution from the southern regions than the northern ones; (3) unlike the recent upward trend in regional temperatures, both precipitation and radiation have decreased, with these two factors showing completely opposite multi-year trends in most regions; and (4) the proportion of regions with lagged effects of the GPP on meteorological factors is higher than those with cumulative effects in China. Among these, GPP exhibits a higher proportion of a 3-month lagged response to precipitation, which is particularly pronounced at altitudes between 500 and 2500 m and above 5500 m. the proportion of the areas with no lag cumulative response to temperature and radiation with GPP in China is the highest due to the influence of more barren land and grassland in the northwest interior. Simultaneously, grassland and barren land have a higher proportion of the non-lagged cumulative responses to temperature and precipitation. This study contributes to our understanding of vegetation dynamics in the context of global climate change and provides a theoretical foundation for regional ecological conservation and high-quality coordinated development. |
doi_str_mv | 10.3390/atmos15040491 |
format | article |
fullrecord | <record><control><sourceid>gale_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_fe61603e3d5a41d3a12184c2579153bc</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A793368872</galeid><doaj_id>oai_doaj_org_article_fe61603e3d5a41d3a12184c2579153bc</doaj_id><sourcerecordid>A793368872</sourcerecordid><originalsourceid>FETCH-LOGICAL-c365t-82977c9aae306176fa51f169cb0e7e5674074ea87b375fdf46d4d7c982c528e33</originalsourceid><addsrcrecordid>eNpVkU2PEzEMhkcIJFbLHrlH4jxLMs7HzHFVWLbSIhBf15GbcUqqdjwkKVL_PSlFCOyDI9vvE8tumpdK3gIM8jWWA2dlpJZ6UE-aq046aLUGePrP-3lzk_NOVtMDdKCvmvB5wRK50GHhhHvx5jTjIfosOIhvtKVyrs7iY-Lp6Ev8GctJ4DyJdcniE-WF50yisHhPhTjxnrfRV8w9-sIpiziL1fc444vmWcB9pps_8br5ev_2y-qhffzwbr26e2w9WFPavhuc8wMigbTK2YBGBWUHv5HkyFinpdOEvduAM2EK2k56qoK-86brCeC6WV-4E-NuXFI8YDqNjHH8neC0HTGV6Pc0BrLKSiCYDGo1AapO9dp3xg3KwMZX1qsLa0n840i5jDs-prmOP4LU1qnemPOPt5euLVZonAOXhL76RHWPPFOINX_nBgDb966rgvYi8IlzThT-jqnkeD7l-N8p4RfUmZFf</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3046718553</pqid></control><display><type>article</type><title>Spatiotemporal Dynamics of Vegetation Productivity and Its Response to Meteorological Factors in China</title><source>Publicly Available Content Database</source><creator>Gong, Enjun ; Ma, Zhijin ; Wang, Zhihui ; Zhang, Jing</creator><creatorcontrib>Gong, Enjun ; Ma, Zhijin ; Wang, Zhihui ; Zhang, Jing</creatorcontrib><description>Climate is one of the key factors driving changes in vegetation, and the response of the vegetation to climate often occurs with a time delay. However, research on the cumulative lagged response of the vegetation to meteorological factors in large-scale regions is limited. Therefore, this study first evaluated the performance of the Gross Primary Productivity (GPP) products provided by Moderate Resolution Imaging Spectroradiometer (MODIS) and Penman–Monteith–Leuning (PML) over the past 20 years in China and then determined the lagged relationships between the GPP and major meteorological factors in different regions and land-use types in China based on a partial correlation analysis. The results indicate that (1) GPP_PML outperforms GPP_MODIS products in the regional context of China; (2) China’s regional GPP has shown a fluctuating upward trend over the past 20 years, with a stepwise increase in the multi-year average from the northwest inland to the southeast coastal regions, and a higher contribution from the southern regions than the northern ones; (3) unlike the recent upward trend in regional temperatures, both precipitation and radiation have decreased, with these two factors showing completely opposite multi-year trends in most regions; and (4) the proportion of regions with lagged effects of the GPP on meteorological factors is higher than those with cumulative effects in China. Among these, GPP exhibits a higher proportion of a 3-month lagged response to precipitation, which is particularly pronounced at altitudes between 500 and 2500 m and above 5500 m. the proportion of the areas with no lag cumulative response to temperature and radiation with GPP in China is the highest due to the influence of more barren land and grassland in the northwest interior. Simultaneously, grassland and barren land have a higher proportion of the non-lagged cumulative responses to temperature and precipitation. This study contributes to our understanding of vegetation dynamics in the context of global climate change and provides a theoretical foundation for regional ecological conservation and high-quality coordinated development.</description><identifier>ISSN: 2073-4433</identifier><identifier>EISSN: 2073-4433</identifier><identifier>DOI: 10.3390/atmos15040491</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Barren lands ; Carbon sequestration ; Climate and vegetation ; Climate change ; Coastal zone ; Context ; Correlation analysis ; Datasets ; elevation ; Environmental aspects ; Forests ; Global climate ; GPP ; Grasslands ; Land use ; land-use type ; MODIS ; Plants ; Precipitation ; Primary production ; Primary productivity (Biology) ; Productivity ; Radiation ; Rain ; Regional development ; Regions ; Response time ; Spectroradiometers ; Temperature ; Terrestrial ecosystems ; time-lag effects ; Vegetation ; Weather ; Wind</subject><ispartof>Atmosphere, 2024-04, Vol.15 (4), p.491</ispartof><rights>COPYRIGHT 2024 MDPI AG</rights><rights>2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c365t-82977c9aae306176fa51f169cb0e7e5674074ea87b375fdf46d4d7c982c528e33</cites><orcidid>0000-0002-4984-1623</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/3046718553/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/3046718553?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25753,27924,27925,37012,44590,75126</link.rule.ids></links><search><creatorcontrib>Gong, Enjun</creatorcontrib><creatorcontrib>Ma, Zhijin</creatorcontrib><creatorcontrib>Wang, Zhihui</creatorcontrib><creatorcontrib>Zhang, Jing</creatorcontrib><title>Spatiotemporal Dynamics of Vegetation Productivity and Its Response to Meteorological Factors in China</title><title>Atmosphere</title><description>Climate is one of the key factors driving changes in vegetation, and the response of the vegetation to climate often occurs with a time delay. However, research on the cumulative lagged response of the vegetation to meteorological factors in large-scale regions is limited. Therefore, this study first evaluated the performance of the Gross Primary Productivity (GPP) products provided by Moderate Resolution Imaging Spectroradiometer (MODIS) and Penman–Monteith–Leuning (PML) over the past 20 years in China and then determined the lagged relationships between the GPP and major meteorological factors in different regions and land-use types in China based on a partial correlation analysis. The results indicate that (1) GPP_PML outperforms GPP_MODIS products in the regional context of China; (2) China’s regional GPP has shown a fluctuating upward trend over the past 20 years, with a stepwise increase in the multi-year average from the northwest inland to the southeast coastal regions, and a higher contribution from the southern regions than the northern ones; (3) unlike the recent upward trend in regional temperatures, both precipitation and radiation have decreased, with these two factors showing completely opposite multi-year trends in most regions; and (4) the proportion of regions with lagged effects of the GPP on meteorological factors is higher than those with cumulative effects in China. Among these, GPP exhibits a higher proportion of a 3-month lagged response to precipitation, which is particularly pronounced at altitudes between 500 and 2500 m and above 5500 m. the proportion of the areas with no lag cumulative response to temperature and radiation with GPP in China is the highest due to the influence of more barren land and grassland in the northwest interior. Simultaneously, grassland and barren land have a higher proportion of the non-lagged cumulative responses to temperature and precipitation. This study contributes to our understanding of vegetation dynamics in the context of global climate change and provides a theoretical foundation for regional ecological conservation and high-quality coordinated development.</description><subject>Barren lands</subject><subject>Carbon sequestration</subject><subject>Climate and vegetation</subject><subject>Climate change</subject><subject>Coastal zone</subject><subject>Context</subject><subject>Correlation analysis</subject><subject>Datasets</subject><subject>elevation</subject><subject>Environmental aspects</subject><subject>Forests</subject><subject>Global climate</subject><subject>GPP</subject><subject>Grasslands</subject><subject>Land use</subject><subject>land-use type</subject><subject>MODIS</subject><subject>Plants</subject><subject>Precipitation</subject><subject>Primary production</subject><subject>Primary productivity (Biology)</subject><subject>Productivity</subject><subject>Radiation</subject><subject>Rain</subject><subject>Regional development</subject><subject>Regions</subject><subject>Response time</subject><subject>Spectroradiometers</subject><subject>Temperature</subject><subject>Terrestrial ecosystems</subject><subject>time-lag effects</subject><subject>Vegetation</subject><subject>Weather</subject><subject>Wind</subject><issn>2073-4433</issn><issn>2073-4433</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpVkU2PEzEMhkcIJFbLHrlH4jxLMs7HzHFVWLbSIhBf15GbcUqqdjwkKVL_PSlFCOyDI9vvE8tumpdK3gIM8jWWA2dlpJZ6UE-aq046aLUGePrP-3lzk_NOVtMDdKCvmvB5wRK50GHhhHvx5jTjIfosOIhvtKVyrs7iY-Lp6Ev8GctJ4DyJdcniE-WF50yisHhPhTjxnrfRV8w9-sIpiziL1fc444vmWcB9pps_8br5ev_2y-qhffzwbr26e2w9WFPavhuc8wMigbTK2YBGBWUHv5HkyFinpdOEvduAM2EK2k56qoK-86brCeC6WV-4E-NuXFI8YDqNjHH8neC0HTGV6Pc0BrLKSiCYDGo1AapO9dp3xg3KwMZX1qsLa0n840i5jDs-prmOP4LU1qnemPOPt5euLVZonAOXhL76RHWPPFOINX_nBgDb966rgvYi8IlzThT-jqnkeD7l-N8p4RfUmZFf</recordid><startdate>20240401</startdate><enddate>20240401</enddate><creator>Gong, Enjun</creator><creator>Ma, Zhijin</creator><creator>Wang, Zhihui</creator><creator>Zhang, Jing</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7ST</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>SOI</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-4984-1623</orcidid></search><sort><creationdate>20240401</creationdate><title>Spatiotemporal Dynamics of Vegetation Productivity and Its Response to Meteorological Factors in China</title><author>Gong, Enjun ; Ma, Zhijin ; Wang, Zhihui ; Zhang, Jing</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c365t-82977c9aae306176fa51f169cb0e7e5674074ea87b375fdf46d4d7c982c528e33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Barren lands</topic><topic>Carbon sequestration</topic><topic>Climate and vegetation</topic><topic>Climate change</topic><topic>Coastal zone</topic><topic>Context</topic><topic>Correlation analysis</topic><topic>Datasets</topic><topic>elevation</topic><topic>Environmental aspects</topic><topic>Forests</topic><topic>Global climate</topic><topic>GPP</topic><topic>Grasslands</topic><topic>Land use</topic><topic>land-use type</topic><topic>MODIS</topic><topic>Plants</topic><topic>Precipitation</topic><topic>Primary production</topic><topic>Primary productivity (Biology)</topic><topic>Productivity</topic><topic>Radiation</topic><topic>Rain</topic><topic>Regional development</topic><topic>Regions</topic><topic>Response time</topic><topic>Spectroradiometers</topic><topic>Temperature</topic><topic>Terrestrial ecosystems</topic><topic>time-lag effects</topic><topic>Vegetation</topic><topic>Weather</topic><topic>Wind</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gong, Enjun</creatorcontrib><creatorcontrib>Ma, Zhijin</creatorcontrib><creatorcontrib>Wang, Zhihui</creatorcontrib><creatorcontrib>Zhang, Jing</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environment Abstracts</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Atmosphere</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gong, Enjun</au><au>Ma, Zhijin</au><au>Wang, Zhihui</au><au>Zhang, Jing</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatiotemporal Dynamics of Vegetation Productivity and Its Response to Meteorological Factors in China</atitle><jtitle>Atmosphere</jtitle><date>2024-04-01</date><risdate>2024</risdate><volume>15</volume><issue>4</issue><spage>491</spage><pages>491-</pages><issn>2073-4433</issn><eissn>2073-4433</eissn><abstract>Climate is one of the key factors driving changes in vegetation, and the response of the vegetation to climate often occurs with a time delay. However, research on the cumulative lagged response of the vegetation to meteorological factors in large-scale regions is limited. Therefore, this study first evaluated the performance of the Gross Primary Productivity (GPP) products provided by Moderate Resolution Imaging Spectroradiometer (MODIS) and Penman–Monteith–Leuning (PML) over the past 20 years in China and then determined the lagged relationships between the GPP and major meteorological factors in different regions and land-use types in China based on a partial correlation analysis. The results indicate that (1) GPP_PML outperforms GPP_MODIS products in the regional context of China; (2) China’s regional GPP has shown a fluctuating upward trend over the past 20 years, with a stepwise increase in the multi-year average from the northwest inland to the southeast coastal regions, and a higher contribution from the southern regions than the northern ones; (3) unlike the recent upward trend in regional temperatures, both precipitation and radiation have decreased, with these two factors showing completely opposite multi-year trends in most regions; and (4) the proportion of regions with lagged effects of the GPP on meteorological factors is higher than those with cumulative effects in China. Among these, GPP exhibits a higher proportion of a 3-month lagged response to precipitation, which is particularly pronounced at altitudes between 500 and 2500 m and above 5500 m. the proportion of the areas with no lag cumulative response to temperature and radiation with GPP in China is the highest due to the influence of more barren land and grassland in the northwest interior. Simultaneously, grassland and barren land have a higher proportion of the non-lagged cumulative responses to temperature and precipitation. This study contributes to our understanding of vegetation dynamics in the context of global climate change and provides a theoretical foundation for regional ecological conservation and high-quality coordinated development.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/atmos15040491</doi><orcidid>https://orcid.org/0000-0002-4984-1623</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2073-4433 |
ispartof | Atmosphere, 2024-04, Vol.15 (4), p.491 |
issn | 2073-4433 2073-4433 |
language | eng |
recordid | cdi_doaj_primary_oai_doaj_org_article_fe61603e3d5a41d3a12184c2579153bc |
source | Publicly Available Content Database |
subjects | Barren lands Carbon sequestration Climate and vegetation Climate change Coastal zone Context Correlation analysis Datasets elevation Environmental aspects Forests Global climate GPP Grasslands Land use land-use type MODIS Plants Precipitation Primary production Primary productivity (Biology) Productivity Radiation Rain Regional development Regions Response time Spectroradiometers Temperature Terrestrial ecosystems time-lag effects Vegetation Weather Wind |
title | Spatiotemporal Dynamics of Vegetation Productivity and Its Response to Meteorological Factors in China |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T15%3A48%3A11IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Spatiotemporal%20Dynamics%20of%20Vegetation%20Productivity%20and%20Its%20Response%20to%20Meteorological%20Factors%20in%20China&rft.jtitle=Atmosphere&rft.au=Gong,%20Enjun&rft.date=2024-04-01&rft.volume=15&rft.issue=4&rft.spage=491&rft.pages=491-&rft.issn=2073-4433&rft.eissn=2073-4433&rft_id=info:doi/10.3390/atmos15040491&rft_dat=%3Cgale_doaj_%3EA793368872%3C/gale_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c365t-82977c9aae306176fa51f169cb0e7e5674074ea87b375fdf46d4d7c982c528e33%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=3046718553&rft_id=info:pmid/&rft_galeid=A793368872&rfr_iscdi=true |