{"refrec":{"BRefID":352364,"RR":"<b>Chen, T.; Dolman, H.; Sun, Z.; Zeng, N.; Gao, H.; Miao, L.; Wei, X.; Li, C.; Han, Q.; Shi, T.; Wang, G.; Zhou, S.; Liang, C.; Chen, X.</b> (2022). Land management explains the contrasting greening pattern across China‐Russia border based on paired land use experiment approach. <i>JGR: Biogeosciences 127(6)</i>: e2021JG006659. <a href=\"https://dx.doi.org/10.1029/2021jg006659\" target=\"_blank\">https://dx.doi.org/10.1029/2021jg006659</a>","BEntID":350071,"PublicFlag":1,"CheckedFlag":0,"wosflag":1,"vabbflag":0,"RefStringPartII":". <i>JGR: Biogeosciences 127(6)</i>: e2021JG006659. <a href=\"https://dx.doi.org/10.1029/2021jg006659\" target=\"_blank\">https://dx.doi.org/10.1029/2021jg006659</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":0,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Chen, T.; Dolman, H.; Sun, Z.; Zeng, N.; Gao, H.; Miao, L.; Wei, X.; Li, C.; Han, Q.; Shi, T.; Wang, G.; Zhou, S.; Liang, C.; Chen, X.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Chen, T. <i>et al.</i>","Englishabstract":"<p>    The greening of the Earth over the last decades is predominantly indicated    by the enhancements of leaf area index (LAI). Quantifying the relative    contribution of multiple determinants, especially changes in climate and in    land management changes (LMC), remains an arduous challenge. To solve this    problem, we develop a simple yet novel data-driven method, called the    Paired Land Use Experiment (PLUE), for mesoscale analysis. Using PLUE, we    analyze vegetation development of the Sanjiang Plain, a transboundary plain    between China and Russia, with roughly homogeneous climate but with    distinct land management practices across the border-intensified    agricultural development on China side (CNSP) versus largely    little-disturbed natural vegetation on Russia side (RUSP). Both CNSP and    RUSP LAI show significant trends (<em>p</em> < 0.05), with the annual    variability reaching values of 9.8 × 10<sup>−3</sup> yr<sup>−1</sup> and    11.3 × 10<sup>−3</sup> yr<sup>−1</sup>, respectively. However, in CNSP, the    LAI increase is concentrated in the middle of the year, especially in five    8-day periods from 26 June to 28 July. During this period, the LAI trend ofCNSP is much higher than that of RUSP, at 92.7 × 10<sup>−3</sup> yr<sup>−1</sup> (<em>p</em> < 0.01) and 43.8 × 10<sup>−3</sup> yr    <sup>−1</sup> (<em>p</em> < 0.01), respectively. Meanwhile, LAI    decreased in CNSP at the begging and end of the growing season. The results    show that different LMC practices lead to notably different seasonal    variability in vegetation changes. The PLUE method offers a new potential    tool in driver identification of vegetation greenness change based on    observations. We argue for the necessity of parameterizing these different    LMC in Earth system models.</p>","AbstractOtherLang":null,"BibLvlCode":"AS","StandardTitle":"Land management explains the contrasting greening pattern across China‐Russia border based on paired land use experiment approach","OrigTitleLangCode":"en","OrigTitleLangCodeExtended":"eng","OrigTitleLangID":15,"DateLastModified":{"date":"2026-04-21 01:33:09.536615","timezone_type":1,"timezone":"+02:00"},"UserAccessRight":null,"UserAccID":null,"AuthorKeywords":null,"OtherDescriptors":null,"Notes":null,"AnaPub":2022,"MonPub":null,"DateUpdate":"2022-06-16","DateCreate":"2022-06-08","SecASFANote":null,"ConfID":null,"PeerRev":1,"VlizCoreFlag":1,"WoScode":"WOS:000810502200001","VABBcode":null,"OpenAcc":1,"DOI":"10.1029/2021jg006659"},"refs":null,"anarec":{"AnaID":352364,"PubliDate":2022,"Pagination":"e2021JG006659","XtraPublOfAnaID":null,"ISBN":null,"Volume":"127","Issue":"6","BRefMon":null,"BRefMonRR":null,"BRefXtra":null,"BRefXtraRR":null,"SerBRefID":272090,"SerRR":"Journal of Geophysical Research-Biogeosciences. 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