Growth and carbon sequestration of poplar plantations on the Tibetan Plateau

Tree radial growth has long-term adaptation and rapid responses to climate, manifested as age-dependent low-frequency and climate-sensitive high-frequency signals. Although the former is usually removed in climate-growth analyses, its overall change still profoundly affects forest biomass and carbon sequestration. The iterative growth model (IGM) reveals the underlying links among organism lifespan, growth rate, and respiration, providing a set of theoretical indicators to evaluate or predict growth. Here, IGM was extended to the tree-ring scale (IGMR) to study the low-frequency growth signals of poplar plantations in the Yarlung Tsangpo River, Tibetan Plateau. As predicted by the IGMR, the low-frequency growth signals all follow a unimodal pattern over the diameter at breast height (DBH) gradient while constraining the high-frequency signals. The unimodal growth curves’ length (maximum DBH), height (maximum growth rate of tree DBH), and resulting tree lifespan could be used to assess and predict tree growth. The results showed that the maximum DBH, growth rate and inverse of the longevity of the trees were greater at lower elevations. The indicators of Populus × beijingensis (PB) were better than those of P. alba (PA). Overall, poplars adapted to the plateau climate by reducing growth rates and increasing longevity. Temperature was the key factor affecting these trade-offs, with the best temperature at 14.69 ℃. Combined with stand density, PB plantations (11695.58 ± 1704.98 g/m2) had greater potential maximum biomass than PA plantations (9032.50 ± 2031.21 g/m2). This study highlights that the response of low-frequency growth signals to environments is holistic, and the resulting indicators have important value for evaluating and predicting tree growth and forest carbon sequestration. Moreover, the results have important practical significance for reasonable plantations and proper assessment of the ecological contribution of plantation forests on the Tibetan Plateau. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Yao, Yuan [verfasserIn] Shu, Shumiao [verfasserIn] Wang, Wenzhi [verfasserIn] Liu, Ruixuan [verfasserIn] Wang, Yuelin [verfasserIn] Wang, Xiaodan [verfasserIn] Zhang, Sheng [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Iterative growth model Tree ring Low-frequency growth signals Yarlung Tsangpo River

Übergeordnetes Werk:	Enthalten in: Ecological indicators - Amsterdam [u.a.] : Elsevier Science, 2001, 147
Übergeordnetes Werk:	volume:147

DOI / URN:	10.1016/j.ecolind.2023.109930

Katalog-ID:	ELV065872304

Internformat


LEADER	01000caa a22002652 4500
001	ELV065872304
003	DE-627
005	20240128093113.0
007	cr uuu---uuuuu
008	231130s2023 xx \|\|\|\|\|o 00\| \|\|eng c
024	7		\|a 10.1016/j.ecolind.2023.109930 \|2 doi
035			\|a (DE-627)ELV065872304
035			\|a (ELSEVIER)S1470-160X(23)00072-9
040			\|a DE-627 \|b ger \|c DE-627 \|e rda
041			\|a eng
082	0	4	\|a 570 \|a 630 \|q VZ
084			\|a BIODIV \|q DE-30 \|2 fid
100	1		\|a Yao, Yuan \|e verfasserin \|4 aut
245	1	0	\|a Growth and carbon sequestration of poplar plantations on the Tibetan Plateau
264		1	\|c 2023
336			\|a nicht spezifiziert \|b zzz \|2 rdacontent
337			\|a Computermedien \|b c \|2 rdamedia
338			\|a Online-Ressource \|b cr \|2 rdacarrier
520			\|a Tree radial growth has long-term adaptation and rapid responses to climate, manifested as age-dependent low-frequency and climate-sensitive high-frequency signals. Although the former is usually removed in climate-growth analyses, its overall change still profoundly affects forest biomass and carbon sequestration. The iterative growth model (IGM) reveals the underlying links among organism lifespan, growth rate, and respiration, providing a set of theoretical indicators to evaluate or predict growth. Here, IGM was extended to the tree-ring scale (IGMR) to study the low-frequency growth signals of poplar plantations in the Yarlung Tsangpo River, Tibetan Plateau. As predicted by the IGMR, the low-frequency growth signals all follow a unimodal pattern over the diameter at breast height (DBH) gradient while constraining the high-frequency signals. The unimodal growth curves’ length (maximum DBH), height (maximum growth rate of tree DBH), and resulting tree lifespan could be used to assess and predict tree growth. The results showed that the maximum DBH, growth rate and inverse of the longevity of the trees were greater at lower elevations. The indicators of Populus × beijingensis (PB) were better than those of P. alba (PA). Overall, poplars adapted to the plateau climate by reducing growth rates and increasing longevity. Temperature was the key factor affecting these trade-offs, with the best temperature at 14.69 ℃. Combined with stand density, PB plantations (11695.58 ± 1704.98 g/m2) had greater potential maximum biomass than PA plantations (9032.50 ± 2031.21 g/m2). This study highlights that the response of low-frequency growth signals to environments is holistic, and the resulting indicators have important value for evaluating and predicting tree growth and forest carbon sequestration. Moreover, the results have important practical significance for reasonable plantations and proper assessment of the ecological contribution of plantation forests on the Tibetan Plateau.
650		4	\|a Iterative growth model
650		4	\|a Tree ring
650		4	\|a Low-frequency growth signals
650		4	\|a Yarlung Tsangpo River
700	1		\|a Shu, Shumiao \|e verfasserin \|4 aut
700	1		\|a Wang, Wenzhi \|e verfasserin \|4 aut
700	1		\|a Liu, Ruixuan \|e verfasserin \|4 aut
700	1		\|a Wang, Yuelin \|e verfasserin \|4 aut
700	1		\|a Wang, Xiaodan \|e verfasserin \|4 aut
700	1		\|a Zhang, Sheng \|e verfasserin \|0 (orcid)0000-0001-5322-9704 \|4 aut
773	0	8	\|i Enthalten in \|t Ecological indicators \|d Amsterdam [u.a.] : Elsevier Science, 2001 \|g 147 \|h Online-Ressource \|w (DE-627)338074163 \|w (DE-600)2063587-4 \|w (DE-576)259272388 \|x 1872-7034 \|7 nnns
773	1	8	\|g volume:147
912			\|a GBV_USEFLAG_U
912			\|a GBV_ELV
912			\|a SYSFLAG_U
912			\|a FID-BIODIV
912			\|a SSG-OLC-PHA
912			\|a GBV_ILN_20
912			\|a GBV_ILN_22
912			\|a GBV_ILN_23
912			\|a GBV_ILN_24
912			\|a GBV_ILN_31
912			\|a GBV_ILN_39
912			\|a GBV_ILN_40
912			\|a GBV_ILN_60
912			\|a GBV_ILN_62
912			\|a GBV_ILN_63
912			\|a GBV_ILN_65
912			\|a GBV_ILN_69
912			\|a GBV_ILN_70
912			\|a GBV_ILN_73
912			\|a GBV_ILN_74
912			\|a GBV_ILN_95
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_151
912			\|a GBV_ILN_161
912			\|a GBV_ILN_170
912			\|a GBV_ILN_213
912			\|a GBV_ILN_224
912			\|a GBV_ILN_230
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_602
912			\|a GBV_ILN_2004
912			\|a GBV_ILN_2005
912			\|a GBV_ILN_2008
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_2034
912			\|a GBV_ILN_2044
912			\|a GBV_ILN_2048
912			\|a GBV_ILN_2064
912			\|a GBV_ILN_2106
912			\|a GBV_ILN_2111
912			\|a GBV_ILN_2112
912			\|a GBV_ILN_2122
912			\|a GBV_ILN_2143
912			\|a GBV_ILN_2152
912			\|a GBV_ILN_2153
912			\|a GBV_ILN_2232
912			\|a GBV_ILN_2336
912			\|a GBV_ILN_4012
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4126
912			\|a GBV_ILN_4249
912			\|a GBV_ILN_4251
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4306
912			\|a GBV_ILN_4307
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4322
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4325
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4367
912			\|a GBV_ILN_4700
951			\|a AR
952			\|d 147

Indexfelder

author_variant	y y yy s s ss w w ww r l rl y w yw x w xw s z sz
matchkey_str	article:18727034:2023----::rwhncrosqetainfolrlnaino
hierarchy_sort_str	2023
publishDate	2023
allfields	10.1016/j.ecolind.2023.109930 doi (DE-627)ELV065872304 (ELSEVIER)S1470-160X(23)00072-9 DE-627 ger DE-627 rda eng 570 630 VZ BIODIV DE-30 fid Yao, Yuan verfasserin aut Growth and carbon sequestration of poplar plantations on the Tibetan Plateau 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Tree radial growth has long-term adaptation and rapid responses to climate, manifested as age-dependent low-frequency and climate-sensitive high-frequency signals. Although the former is usually removed in climate-growth analyses, its overall change still profoundly affects forest biomass and carbon sequestration. The iterative growth model (IGM) reveals the underlying links among organism lifespan, growth rate, and respiration, providing a set of theoretical indicators to evaluate or predict growth. Here, IGM was extended to the tree-ring scale (IGMR) to study the low-frequency growth signals of poplar plantations in the Yarlung Tsangpo River, Tibetan Plateau. As predicted by the IGMR, the low-frequency growth signals all follow a unimodal pattern over the diameter at breast height (DBH) gradient while constraining the high-frequency signals. The unimodal growth curves’ length (maximum DBH), height (maximum growth rate of tree DBH), and resulting tree lifespan could be used to assess and predict tree growth. The results showed that the maximum DBH, growth rate and inverse of the longevity of the trees were greater at lower elevations. The indicators of Populus × beijingensis (PB) were better than those of P. alba (PA). Overall, poplars adapted to the plateau climate by reducing growth rates and increasing longevity. Temperature was the key factor affecting these trade-offs, with the best temperature at 14.69 ℃. Combined with stand density, PB plantations (11695.58 ± 1704.98 g/m2) had greater potential maximum biomass than PA plantations (9032.50 ± 2031.21 g/m2). This study highlights that the response of low-frequency growth signals to environments is holistic, and the resulting indicators have important value for evaluating and predicting tree growth and forest carbon sequestration. Moreover, the results have important practical significance for reasonable plantations and proper assessment of the ecological contribution of plantation forests on the Tibetan Plateau. Iterative growth model Tree ring Low-frequency growth signals Yarlung Tsangpo River Shu, Shumiao verfasserin aut Wang, Wenzhi verfasserin aut Liu, Ruixuan verfasserin aut Wang, Yuelin verfasserin aut Wang, Xiaodan verfasserin aut Zhang, Sheng verfasserin (orcid)0000-0001-5322-9704 aut Enthalten in Ecological indicators Amsterdam [u.a.] : Elsevier Science, 2001 147 Online-Ressource (DE-627)338074163 (DE-600)2063587-4 (DE-576)259272388 1872-7034 nnns volume:147 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 147
spelling	10.1016/j.ecolind.2023.109930 doi (DE-627)ELV065872304 (ELSEVIER)S1470-160X(23)00072-9 DE-627 ger DE-627 rda eng 570 630 VZ BIODIV DE-30 fid Yao, Yuan verfasserin aut Growth and carbon sequestration of poplar plantations on the Tibetan Plateau 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Tree radial growth has long-term adaptation and rapid responses to climate, manifested as age-dependent low-frequency and climate-sensitive high-frequency signals. Although the former is usually removed in climate-growth analyses, its overall change still profoundly affects forest biomass and carbon sequestration. The iterative growth model (IGM) reveals the underlying links among organism lifespan, growth rate, and respiration, providing a set of theoretical indicators to evaluate or predict growth. Here, IGM was extended to the tree-ring scale (IGMR) to study the low-frequency growth signals of poplar plantations in the Yarlung Tsangpo River, Tibetan Plateau. As predicted by the IGMR, the low-frequency growth signals all follow a unimodal pattern over the diameter at breast height (DBH) gradient while constraining the high-frequency signals. The unimodal growth curves’ length (maximum DBH), height (maximum growth rate of tree DBH), and resulting tree lifespan could be used to assess and predict tree growth. The results showed that the maximum DBH, growth rate and inverse of the longevity of the trees were greater at lower elevations. The indicators of Populus × beijingensis (PB) were better than those of P. alba (PA). Overall, poplars adapted to the plateau climate by reducing growth rates and increasing longevity. Temperature was the key factor affecting these trade-offs, with the best temperature at 14.69 ℃. Combined with stand density, PB plantations (11695.58 ± 1704.98 g/m2) had greater potential maximum biomass than PA plantations (9032.50 ± 2031.21 g/m2). This study highlights that the response of low-frequency growth signals to environments is holistic, and the resulting indicators have important value for evaluating and predicting tree growth and forest carbon sequestration. Moreover, the results have important practical significance for reasonable plantations and proper assessment of the ecological contribution of plantation forests on the Tibetan Plateau. Iterative growth model Tree ring Low-frequency growth signals Yarlung Tsangpo River Shu, Shumiao verfasserin aut Wang, Wenzhi verfasserin aut Liu, Ruixuan verfasserin aut Wang, Yuelin verfasserin aut Wang, Xiaodan verfasserin aut Zhang, Sheng verfasserin (orcid)0000-0001-5322-9704 aut Enthalten in Ecological indicators Amsterdam [u.a.] : Elsevier Science, 2001 147 Online-Ressource (DE-627)338074163 (DE-600)2063587-4 (DE-576)259272388 1872-7034 nnns volume:147 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 147
allfields_unstemmed	10.1016/j.ecolind.2023.109930 doi (DE-627)ELV065872304 (ELSEVIER)S1470-160X(23)00072-9 DE-627 ger DE-627 rda eng 570 630 VZ BIODIV DE-30 fid Yao, Yuan verfasserin aut Growth and carbon sequestration of poplar plantations on the Tibetan Plateau 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Tree radial growth has long-term adaptation and rapid responses to climate, manifested as age-dependent low-frequency and climate-sensitive high-frequency signals. Although the former is usually removed in climate-growth analyses, its overall change still profoundly affects forest biomass and carbon sequestration. The iterative growth model (IGM) reveals the underlying links among organism lifespan, growth rate, and respiration, providing a set of theoretical indicators to evaluate or predict growth. Here, IGM was extended to the tree-ring scale (IGMR) to study the low-frequency growth signals of poplar plantations in the Yarlung Tsangpo River, Tibetan Plateau. As predicted by the IGMR, the low-frequency growth signals all follow a unimodal pattern over the diameter at breast height (DBH) gradient while constraining the high-frequency signals. The unimodal growth curves’ length (maximum DBH), height (maximum growth rate of tree DBH), and resulting tree lifespan could be used to assess and predict tree growth. The results showed that the maximum DBH, growth rate and inverse of the longevity of the trees were greater at lower elevations. The indicators of Populus × beijingensis (PB) were better than those of P. alba (PA). Overall, poplars adapted to the plateau climate by reducing growth rates and increasing longevity. Temperature was the key factor affecting these trade-offs, with the best temperature at 14.69 ℃. Combined with stand density, PB plantations (11695.58 ± 1704.98 g/m2) had greater potential maximum biomass than PA plantations (9032.50 ± 2031.21 g/m2). This study highlights that the response of low-frequency growth signals to environments is holistic, and the resulting indicators have important value for evaluating and predicting tree growth and forest carbon sequestration. Moreover, the results have important practical significance for reasonable plantations and proper assessment of the ecological contribution of plantation forests on the Tibetan Plateau. Iterative growth model Tree ring Low-frequency growth signals Yarlung Tsangpo River Shu, Shumiao verfasserin aut Wang, Wenzhi verfasserin aut Liu, Ruixuan verfasserin aut Wang, Yuelin verfasserin aut Wang, Xiaodan verfasserin aut Zhang, Sheng verfasserin (orcid)0000-0001-5322-9704 aut Enthalten in Ecological indicators Amsterdam [u.a.] : Elsevier Science, 2001 147 Online-Ressource (DE-627)338074163 (DE-600)2063587-4 (DE-576)259272388 1872-7034 nnns volume:147 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 147
allfieldsGer	10.1016/j.ecolind.2023.109930 doi (DE-627)ELV065872304 (ELSEVIER)S1470-160X(23)00072-9 DE-627 ger DE-627 rda eng 570 630 VZ BIODIV DE-30 fid Yao, Yuan verfasserin aut Growth and carbon sequestration of poplar plantations on the Tibetan Plateau 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Tree radial growth has long-term adaptation and rapid responses to climate, manifested as age-dependent low-frequency and climate-sensitive high-frequency signals. Although the former is usually removed in climate-growth analyses, its overall change still profoundly affects forest biomass and carbon sequestration. The iterative growth model (IGM) reveals the underlying links among organism lifespan, growth rate, and respiration, providing a set of theoretical indicators to evaluate or predict growth. Here, IGM was extended to the tree-ring scale (IGMR) to study the low-frequency growth signals of poplar plantations in the Yarlung Tsangpo River, Tibetan Plateau. As predicted by the IGMR, the low-frequency growth signals all follow a unimodal pattern over the diameter at breast height (DBH) gradient while constraining the high-frequency signals. The unimodal growth curves’ length (maximum DBH), height (maximum growth rate of tree DBH), and resulting tree lifespan could be used to assess and predict tree growth. The results showed that the maximum DBH, growth rate and inverse of the longevity of the trees were greater at lower elevations. The indicators of Populus × beijingensis (PB) were better than those of P. alba (PA). Overall, poplars adapted to the plateau climate by reducing growth rates and increasing longevity. Temperature was the key factor affecting these trade-offs, with the best temperature at 14.69 ℃. Combined with stand density, PB plantations (11695.58 ± 1704.98 g/m2) had greater potential maximum biomass than PA plantations (9032.50 ± 2031.21 g/m2). This study highlights that the response of low-frequency growth signals to environments is holistic, and the resulting indicators have important value for evaluating and predicting tree growth and forest carbon sequestration. Moreover, the results have important practical significance for reasonable plantations and proper assessment of the ecological contribution of plantation forests on the Tibetan Plateau. Iterative growth model Tree ring Low-frequency growth signals Yarlung Tsangpo River Shu, Shumiao verfasserin aut Wang, Wenzhi verfasserin aut Liu, Ruixuan verfasserin aut Wang, Yuelin verfasserin aut Wang, Xiaodan verfasserin aut Zhang, Sheng verfasserin (orcid)0000-0001-5322-9704 aut Enthalten in Ecological indicators Amsterdam [u.a.] : Elsevier Science, 2001 147 Online-Ressource (DE-627)338074163 (DE-600)2063587-4 (DE-576)259272388 1872-7034 nnns volume:147 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 147
allfieldsSound	10.1016/j.ecolind.2023.109930 doi (DE-627)ELV065872304 (ELSEVIER)S1470-160X(23)00072-9 DE-627 ger DE-627 rda eng 570 630 VZ BIODIV DE-30 fid Yao, Yuan verfasserin aut Growth and carbon sequestration of poplar plantations on the Tibetan Plateau 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Tree radial growth has long-term adaptation and rapid responses to climate, manifested as age-dependent low-frequency and climate-sensitive high-frequency signals. Although the former is usually removed in climate-growth analyses, its overall change still profoundly affects forest biomass and carbon sequestration. The iterative growth model (IGM) reveals the underlying links among organism lifespan, growth rate, and respiration, providing a set of theoretical indicators to evaluate or predict growth. Here, IGM was extended to the tree-ring scale (IGMR) to study the low-frequency growth signals of poplar plantations in the Yarlung Tsangpo River, Tibetan Plateau. As predicted by the IGMR, the low-frequency growth signals all follow a unimodal pattern over the diameter at breast height (DBH) gradient while constraining the high-frequency signals. The unimodal growth curves’ length (maximum DBH), height (maximum growth rate of tree DBH), and resulting tree lifespan could be used to assess and predict tree growth. The results showed that the maximum DBH, growth rate and inverse of the longevity of the trees were greater at lower elevations. The indicators of Populus × beijingensis (PB) were better than those of P. alba (PA). Overall, poplars adapted to the plateau climate by reducing growth rates and increasing longevity. Temperature was the key factor affecting these trade-offs, with the best temperature at 14.69 ℃. Combined with stand density, PB plantations (11695.58 ± 1704.98 g/m2) had greater potential maximum biomass than PA plantations (9032.50 ± 2031.21 g/m2). This study highlights that the response of low-frequency growth signals to environments is holistic, and the resulting indicators have important value for evaluating and predicting tree growth and forest carbon sequestration. Moreover, the results have important practical significance for reasonable plantations and proper assessment of the ecological contribution of plantation forests on the Tibetan Plateau. Iterative growth model Tree ring Low-frequency growth signals Yarlung Tsangpo River Shu, Shumiao verfasserin aut Wang, Wenzhi verfasserin aut Liu, Ruixuan verfasserin aut Wang, Yuelin verfasserin aut Wang, Xiaodan verfasserin aut Zhang, Sheng verfasserin (orcid)0000-0001-5322-9704 aut Enthalten in Ecological indicators Amsterdam [u.a.] : Elsevier Science, 2001 147 Online-Ressource (DE-627)338074163 (DE-600)2063587-4 (DE-576)259272388 1872-7034 nnns volume:147 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 147
language	English
source	Enthalten in Ecological indicators 147 volume:147
sourceStr	Enthalten in Ecological indicators 147 volume:147
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Iterative growth model Tree ring Low-frequency growth signals Yarlung Tsangpo River
dewey-raw	570
isfreeaccess_bool	false
container_title	Ecological indicators
authorswithroles_txt_mv	Yao, Yuan @@aut@@ Shu, Shumiao @@aut@@ Wang, Wenzhi @@aut@@ Liu, Ruixuan @@aut@@ Wang, Yuelin @@aut@@ Wang, Xiaodan @@aut@@ Zhang, Sheng @@aut@@
publishDateDaySort_date	2023-01-01T00:00:00Z
hierarchy_top_id	338074163
dewey-sort	3570
id	ELV065872304
language_de	englisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV065872304</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20240128093113.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">231130s2023 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.ecolind.2023.109930</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV065872304</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S1470-160X(23)00072-9</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">570</subfield><subfield code="a">630</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">BIODIV</subfield><subfield code="q">DE-30</subfield><subfield code="2">fid</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Yao, Yuan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Growth and carbon sequestration of poplar plantations on the Tibetan Plateau</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2023</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Tree radial growth has long-term adaptation and rapid responses to climate, manifested as age-dependent low-frequency and climate-sensitive high-frequency signals. Although the former is usually removed in climate-growth analyses, its overall change still profoundly affects forest biomass and carbon sequestration. The iterative growth model (IGM) reveals the underlying links among organism lifespan, growth rate, and respiration, providing a set of theoretical indicators to evaluate or predict growth. Here, IGM was extended to the tree-ring scale (IGMR) to study the low-frequency growth signals of poplar plantations in the Yarlung Tsangpo River, Tibetan Plateau. As predicted by the IGMR, the low-frequency growth signals all follow a unimodal pattern over the diameter at breast height (DBH) gradient while constraining the high-frequency signals. The unimodal growth curves’ length (maximum DBH), height (maximum growth rate of tree DBH), and resulting tree lifespan could be used to assess and predict tree growth. The results showed that the maximum DBH, growth rate and inverse of the longevity of the trees were greater at lower elevations. The indicators of Populus × beijingensis (PB) were better than those of P. alba (PA). Overall, poplars adapted to the plateau climate by reducing growth rates and increasing longevity. Temperature was the key factor affecting these trade-offs, with the best temperature at 14.69 ℃. Combined with stand density, PB plantations (11695.58 ± 1704.98 g/m2) had greater potential maximum biomass than PA plantations (9032.50 ± 2031.21 g/m2). This study highlights that the response of low-frequency growth signals to environments is holistic, and the resulting indicators have important value for evaluating and predicting tree growth and forest carbon sequestration. Moreover, the results have important practical significance for reasonable plantations and proper assessment of the ecological contribution of plantation forests on the Tibetan Plateau.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Iterative growth model</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Tree ring</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Low-frequency growth signals</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Yarlung Tsangpo River</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Shu, Shumiao</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Wenzhi</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Liu, Ruixuan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Yuelin</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Xiaodan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, Sheng</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0001-5322-9704</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Ecological indicators</subfield><subfield code="d">Amsterdam [u.a.] : Elsevier Science, 2001</subfield><subfield code="g">147</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)338074163</subfield><subfield code="w">(DE-600)2063587-4</subfield><subfield code="w">(DE-576)259272388</subfield><subfield code="x">1872-7034</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:147</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">FID-BIODIV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_224</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2004</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2008</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2034</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2044</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2048</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2064</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2106</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2122</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2143</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2153</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2232</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4251</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">147</subfield></datafield></record></collection>
author	Yao, Yuan
spellingShingle	Yao, Yuan ddc 570 fid BIODIV misc Iterative growth model misc Tree ring misc Low-frequency growth signals misc Yarlung Tsangpo River Growth and carbon sequestration of poplar plantations on the Tibetan Plateau
authorStr	Yao, Yuan
ppnlink_with_tag_str_mv	@@773@@(DE-627)338074163
format	electronic Article
dewey-ones	570 - Life sciences; biology 630 - Agriculture & related technologies
delete_txt_mv	keep
author_role	aut aut aut aut aut aut aut
collection	elsevier
remote_str	true
illustrated	Not Illustrated
issn	1872-7034
topic_title	570 630 VZ BIODIV DE-30 fid Growth and carbon sequestration of poplar plantations on the Tibetan Plateau Iterative growth model Tree ring Low-frequency growth signals Yarlung Tsangpo River
topic	ddc 570 fid BIODIV misc Iterative growth model misc Tree ring misc Low-frequency growth signals misc Yarlung Tsangpo River
topic_unstemmed	ddc 570 fid BIODIV misc Iterative growth model misc Tree ring misc Low-frequency growth signals misc Yarlung Tsangpo River
topic_browse	ddc 570 fid BIODIV misc Iterative growth model misc Tree ring misc Low-frequency growth signals misc Yarlung Tsangpo River
format_facet	Elektronische Aufsätze Aufsätze Elektronische Ressource
format_main_str_mv	Text Zeitschrift/Artikel
carriertype_str_mv	cr
hierarchy_parent_title	Ecological indicators
hierarchy_parent_id	338074163
dewey-tens	570 - Life sciences; biology 630 - Agriculture
hierarchy_top_title	Ecological indicators
isfreeaccess_txt	false
familylinks_str_mv	(DE-627)338074163 (DE-600)2063587-4 (DE-576)259272388
title	Growth and carbon sequestration of poplar plantations on the Tibetan Plateau
ctrlnum	(DE-627)ELV065872304 (ELSEVIER)S1470-160X(23)00072-9
title_full	Growth and carbon sequestration of poplar plantations on the Tibetan Plateau
author_sort	Yao, Yuan
journal	Ecological indicators
journalStr	Ecological indicators
lang_code	eng
isOA_bool	false
dewey-hundreds	500 - Science 600 - Technology
recordtype	marc
publishDateSort	2023
contenttype_str_mv	zzz
author_browse	Yao, Yuan Shu, Shumiao Wang, Wenzhi Liu, Ruixuan Wang, Yuelin Wang, Xiaodan Zhang, Sheng
container_volume	147
class	570 630 VZ BIODIV DE-30 fid
format_se	Elektronische Aufsätze
author-letter	Yao, Yuan
doi_str_mv	10.1016/j.ecolind.2023.109930
normlink	(ORCID)0000-0001-5322-9704
normlink_prefix_str_mv	(orcid)0000-0001-5322-9704
dewey-full	570 630
author2-role	verfasserin
title_sort	growth and carbon sequestration of poplar plantations on the tibetan plateau
title_auth	Growth and carbon sequestration of poplar plantations on the Tibetan Plateau
abstract	Tree radial growth has long-term adaptation and rapid responses to climate, manifested as age-dependent low-frequency and climate-sensitive high-frequency signals. Although the former is usually removed in climate-growth analyses, its overall change still profoundly affects forest biomass and carbon sequestration. The iterative growth model (IGM) reveals the underlying links among organism lifespan, growth rate, and respiration, providing a set of theoretical indicators to evaluate or predict growth. Here, IGM was extended to the tree-ring scale (IGMR) to study the low-frequency growth signals of poplar plantations in the Yarlung Tsangpo River, Tibetan Plateau. As predicted by the IGMR, the low-frequency growth signals all follow a unimodal pattern over the diameter at breast height (DBH) gradient while constraining the high-frequency signals. The unimodal growth curves’ length (maximum DBH), height (maximum growth rate of tree DBH), and resulting tree lifespan could be used to assess and predict tree growth. The results showed that the maximum DBH, growth rate and inverse of the longevity of the trees were greater at lower elevations. The indicators of Populus × beijingensis (PB) were better than those of P. alba (PA). Overall, poplars adapted to the plateau climate by reducing growth rates and increasing longevity. Temperature was the key factor affecting these trade-offs, with the best temperature at 14.69 ℃. Combined with stand density, PB plantations (11695.58 ± 1704.98 g/m2) had greater potential maximum biomass than PA plantations (9032.50 ± 2031.21 g/m2). This study highlights that the response of low-frequency growth signals to environments is holistic, and the resulting indicators have important value for evaluating and predicting tree growth and forest carbon sequestration. Moreover, the results have important practical significance for reasonable plantations and proper assessment of the ecological contribution of plantation forests on the Tibetan Plateau.
abstractGer	Tree radial growth has long-term adaptation and rapid responses to climate, manifested as age-dependent low-frequency and climate-sensitive high-frequency signals. Although the former is usually removed in climate-growth analyses, its overall change still profoundly affects forest biomass and carbon sequestration. The iterative growth model (IGM) reveals the underlying links among organism lifespan, growth rate, and respiration, providing a set of theoretical indicators to evaluate or predict growth. Here, IGM was extended to the tree-ring scale (IGMR) to study the low-frequency growth signals of poplar plantations in the Yarlung Tsangpo River, Tibetan Plateau. As predicted by the IGMR, the low-frequency growth signals all follow a unimodal pattern over the diameter at breast height (DBH) gradient while constraining the high-frequency signals. The unimodal growth curves’ length (maximum DBH), height (maximum growth rate of tree DBH), and resulting tree lifespan could be used to assess and predict tree growth. The results showed that the maximum DBH, growth rate and inverse of the longevity of the trees were greater at lower elevations. The indicators of Populus × beijingensis (PB) were better than those of P. alba (PA). Overall, poplars adapted to the plateau climate by reducing growth rates and increasing longevity. Temperature was the key factor affecting these trade-offs, with the best temperature at 14.69 ℃. Combined with stand density, PB plantations (11695.58 ± 1704.98 g/m2) had greater potential maximum biomass than PA plantations (9032.50 ± 2031.21 g/m2). This study highlights that the response of low-frequency growth signals to environments is holistic, and the resulting indicators have important value for evaluating and predicting tree growth and forest carbon sequestration. Moreover, the results have important practical significance for reasonable plantations and proper assessment of the ecological contribution of plantation forests on the Tibetan Plateau.
abstract_unstemmed	Tree radial growth has long-term adaptation and rapid responses to climate, manifested as age-dependent low-frequency and climate-sensitive high-frequency signals. Although the former is usually removed in climate-growth analyses, its overall change still profoundly affects forest biomass and carbon sequestration. The iterative growth model (IGM) reveals the underlying links among organism lifespan, growth rate, and respiration, providing a set of theoretical indicators to evaluate or predict growth. Here, IGM was extended to the tree-ring scale (IGMR) to study the low-frequency growth signals of poplar plantations in the Yarlung Tsangpo River, Tibetan Plateau. As predicted by the IGMR, the low-frequency growth signals all follow a unimodal pattern over the diameter at breast height (DBH) gradient while constraining the high-frequency signals. The unimodal growth curves’ length (maximum DBH), height (maximum growth rate of tree DBH), and resulting tree lifespan could be used to assess and predict tree growth. The results showed that the maximum DBH, growth rate and inverse of the longevity of the trees were greater at lower elevations. The indicators of Populus × beijingensis (PB) were better than those of P. alba (PA). Overall, poplars adapted to the plateau climate by reducing growth rates and increasing longevity. Temperature was the key factor affecting these trade-offs, with the best temperature at 14.69 ℃. Combined with stand density, PB plantations (11695.58 ± 1704.98 g/m2) had greater potential maximum biomass than PA plantations (9032.50 ± 2031.21 g/m2). This study highlights that the response of low-frequency growth signals to environments is holistic, and the resulting indicators have important value for evaluating and predicting tree growth and forest carbon sequestration. Moreover, the results have important practical significance for reasonable plantations and proper assessment of the ecological contribution of plantation forests on the Tibetan Plateau.
collection_details	GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700
title_short	Growth and carbon sequestration of poplar plantations on the Tibetan Plateau
remote_bool	true
author2	Shu, Shumiao Wang, Wenzhi Liu, Ruixuan Wang, Yuelin Wang, Xiaodan Zhang, Sheng
author2Str	Shu, Shumiao Wang, Wenzhi Liu, Ruixuan Wang, Yuelin Wang, Xiaodan Zhang, Sheng
ppnlink	338074163
mediatype_str_mv	c
isOA_txt	false
hochschulschrift_bool	false
doi_str	10.1016/j.ecolind.2023.109930
up_date	2024-07-07T00:32:38.169Z
_version_	1803878251282563072
fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV065872304</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20240128093113.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">231130s2023 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.ecolind.2023.109930</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV065872304</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S1470-160X(23)00072-9</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">570</subfield><subfield code="a">630</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">BIODIV</subfield><subfield code="q">DE-30</subfield><subfield code="2">fid</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Yao, Yuan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Growth and carbon sequestration of poplar plantations on the Tibetan Plateau</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2023</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Tree radial growth has long-term adaptation and rapid responses to climate, manifested as age-dependent low-frequency and climate-sensitive high-frequency signals. Although the former is usually removed in climate-growth analyses, its overall change still profoundly affects forest biomass and carbon sequestration. The iterative growth model (IGM) reveals the underlying links among organism lifespan, growth rate, and respiration, providing a set of theoretical indicators to evaluate or predict growth. Here, IGM was extended to the tree-ring scale (IGMR) to study the low-frequency growth signals of poplar plantations in the Yarlung Tsangpo River, Tibetan Plateau. As predicted by the IGMR, the low-frequency growth signals all follow a unimodal pattern over the diameter at breast height (DBH) gradient while constraining the high-frequency signals. The unimodal growth curves’ length (maximum DBH), height (maximum growth rate of tree DBH), and resulting tree lifespan could be used to assess and predict tree growth. The results showed that the maximum DBH, growth rate and inverse of the longevity of the trees were greater at lower elevations. The indicators of Populus × beijingensis (PB) were better than those of P. alba (PA). Overall, poplars adapted to the plateau climate by reducing growth rates and increasing longevity. Temperature was the key factor affecting these trade-offs, with the best temperature at 14.69 ℃. Combined with stand density, PB plantations (11695.58 ± 1704.98 g/m2) had greater potential maximum biomass than PA plantations (9032.50 ± 2031.21 g/m2). This study highlights that the response of low-frequency growth signals to environments is holistic, and the resulting indicators have important value for evaluating and predicting tree growth and forest carbon sequestration. Moreover, the results have important practical significance for reasonable plantations and proper assessment of the ecological contribution of plantation forests on the Tibetan Plateau.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Iterative growth model</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Tree ring</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Low-frequency growth signals</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Yarlung Tsangpo River</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Shu, Shumiao</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Wenzhi</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Liu, Ruixuan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Yuelin</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Xiaodan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, Sheng</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0001-5322-9704</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Ecological indicators</subfield><subfield code="d">Amsterdam [u.a.] : Elsevier Science, 2001</subfield><subfield code="g">147</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)338074163</subfield><subfield code="w">(DE-600)2063587-4</subfield><subfield code="w">(DE-576)259272388</subfield><subfield code="x">1872-7034</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:147</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">FID-BIODIV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_224</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2004</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2008</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2034</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2044</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2048</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2064</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2106</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2122</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2143</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2153</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2232</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4251</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">147</subfield></datafield></record></collection>
score	7.4011316

Nicht das Richtige dabei?

Schreiben Sie uns!

Growth and carbon sequestration of poplar plantations on the Tibetan Plateau

Nicht das Richtige dabei?

Zugang & Verfügbarkeit

Vorhandene Bände

Nicht das Richtige dabei?