Responses of leaf traits to climatic gradients: adaptive variation versus compositional shifts

Meng, T.-T.; Wang, H.; Harrison, S. P.; Prentice, I. C.; Ni, J.; Wang, G.

doi:10.5194/bg-12-5339-2015

Articles | Volume 12, issue 18

https://doi.org/10.5194/bg-12-5339-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/bg-12-5339-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 12, issue 18

Research article

|

17 Sep 2015

Research article |

| 17 Sep 2015

Responses of leaf traits to climatic gradients: adaptive variation versus compositional shifts

T.-T. Meng, H. Wang, S. P. Harrison, I. C. Prentice, J. Ni, and G. Wang

Viewed

Total article views: 5,290 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	Supplement	BibTeX	EndNote
2,512	2,602	176	5,290	1,078	152	223

HTML: 2,512
PDF: 2,602
XML: 176
Total: 5,290
Supplement: 1,078
BibTeX: 152
EndNote: 223

Views and downloads (calculated since 13 May 2015)

Month	HTML	PDF	XML	Total
May 2015	55	39	2	96
Jun 2015	23	20	0	43
Jul 2015	20	8	0	28
Aug 2015	5	12	0	17
Sep 2015	88	92	2	182
Oct 2015	95	76	2	173
Nov 2015	71	88	1	160
Dec 2015	34	62	0	96
Jan 2016	34	32	0	66
Feb 2016	17	25	0	42
Mar 2016	22	22	1	45
Apr 2016	8	11	0	19
May 2016	11	8	1	20
Jun 2016	9	8	4	21
Jul 2016	8	14	3	25
Aug 2016	15	10	3	28
Sep 2016	15	18	0	33
Oct 2016	14	16	0	30
Nov 2016	8	12	0	20
Dec 2016	3	10	1	14
Jan 2017	19	26	0	45
Feb 2017	6	12	1	19
Mar 2017	15	28	1	44
Apr 2017	19	17	0	36
May 2017	29	28	1	58
Jun 2017	24	16	0	40
Jul 2017	18	17	1	36
Aug 2017	6	11	1	18
Sep 2017	11	14	0	25
Oct 2017	1	19	0	20
Nov 2017	7	23	0	30
Dec 2017	10	20	0	30
Jan 2018	9	21	0	30
Feb 2018	5	17	0	22
Mar 2018	15	31	0	46
Apr 2018	8	32	0	40
May 2018	11	36	0	47
Jun 2018	11	33	1	45
Jul 2018	15	45	0	60
Aug 2018	11	41	0	52
Sep 2018	13	29	0	42
Oct 2018	11	51	2	64
Nov 2018	18	44	3	65
Dec 2018	11	31	2	44
Jan 2019	13	20	1	34
Feb 2019	7	18	1	26
Mar 2019	6	18	0	24
Apr 2019	9	28	0	37
May 2019	13	33	0	46
Jun 2019	6	38	0	44
Jul 2019	8	32	0	40
Aug 2019	4	32	0	36
Sep 2019	7	35	0	42
Oct 2019	12	32	1	45
Nov 2019	10	24	0	34
Dec 2019	6	17	0	23
Jan 2020	18	12	2	32
Feb 2020	14	19	15	48
Mar 2020	12	14	0	26
Apr 2020	9	11	1	21
May 2020	25	8	1	34
Jun 2020	35	14	3	52
Jul 2020	25	19	13	57
Aug 2020	12	13	5	30
Sep 2020	26	8	1	35
Oct 2020	26	8	1	35
Nov 2020	10	10	2	22
Dec 2020	13	21	1	35
Jan 2021	34	19	2	55
Feb 2021	13	20	3	36
Mar 2021	13	25	1	39
Apr 2021	14	18	0	32
May 2021	13	16	3	32
Jun 2021	5	15	1	21
Jul 2021	4	15	0	19
Aug 2021	14	23	1	38
Sep 2021	17	12	1	30
Oct 2021	12	45	2	59
Nov 2021	11	36	1	48
Dec 2021	12	13	0	25
Jan 2022	19	13	1	33
Feb 2022	19	19	2	40
Mar 2022	14	23	1	38
Apr 2022	21	16	1	38
May 2022	14	14	2	30
Jun 2022	20	12	1	33
Jul 2022	16	12	0	28
Aug 2022	17	14	0	31
Sep 2022	13	33	2	48
Oct 2022	14	11	1	26
Nov 2022	28	13	1	42
Dec 2022	23	14	2	39
Jan 2023	34	10	1	45
Feb 2023	23	19	3	45
Mar 2023	35	12	0	47
Apr 2023	16	20	2	38
May 2023	12	12	0	24
Jun 2023	15	7	4	26
Jul 2023	18	9	1	28
Aug 2023	15	7	3	25
Sep 2023	10	8	0	18
Oct 2023	28	19	3	50
Nov 2023	18	5	1	24
Dec 2023	23	11	1	35
Jan 2024	23	6	0	29
Feb 2024	12	4	0	16
Mar 2024	21	10	1	32
Apr 2024	24	8	5	37
May 2024	28	14	4	46
Jun 2024	51	15	4	70
Jul 2024	44	28	3	75
Aug 2024	42	12	0	54
Sep 2024	15	12	0	27
Oct 2024	23	10	1	34
Nov 2024	19	5	1	25
Dec 2024	18	8	1	27
Jan 2025	21	10	0	31
Feb 2025	28	11	3	42
Mar 2025	25	14	1	40
Apr 2025	19	16	0	35
May 2025	34	13	4	51
Jun 2025	51	10	0	61
Jul 2025	45	15	3	63
Aug 2025	46	23	3	72
Sep 2025	39	15	1	55
Oct 2025	50	25	3	78
Nov 2025	23	19	9	51

Cumulative views and downloads (calculated since 13 May 2015)

Month	HTML	PDF	XML	Total
May 2015	55	39	2	96
Jun 2015	23	20	0	43
Jul 2015	20	8	0	28
Aug 2015	5	12	0	17
Sep 2015	88	92	2	182
Oct 2015	95	76	2	173
Nov 2015	71	88	1	160
Dec 2015	34	62	0	96
Jan 2016	34	32	0	66
Feb 2016	17	25	0	42
Mar 2016	22	22	1	45
Apr 2016	8	11	0	19
May 2016	11	8	1	20
Jun 2016	9	8	4	21
Jul 2016	8	14	3	25
Aug 2016	15	10	3	28
Sep 2016	15	18	0	33
Oct 2016	14	16	0	30
Nov 2016	8	12	0	20
Dec 2016	3	10	1	14
Jan 2017	19	26	0	45
Feb 2017	6	12	1	19
Mar 2017	15	28	1	44
Apr 2017	19	17	0	36
May 2017	29	28	1	58
Jun 2017	24	16	0	40
Jul 2017	18	17	1	36
Aug 2017	6	11	1	18
Sep 2017	11	14	0	25
Oct 2017	1	19	0	20
Nov 2017	7	23	0	30
Dec 2017	10	20	0	30
Jan 2018	9	21	0	30
Feb 2018	5	17	0	22
Mar 2018	15	31	0	46
Apr 2018	8	32	0	40
May 2018	11	36	0	47
Jun 2018	11	33	1	45
Jul 2018	15	45	0	60
Aug 2018	11	41	0	52
Sep 2018	13	29	0	42
Oct 2018	11	51	2	64
Nov 2018	18	44	3	65
Dec 2018	11	31	2	44
Jan 2019	13	20	1	34
Feb 2019	7	18	1	26
Mar 2019	6	18	0	24
Apr 2019	9	28	0	37
May 2019	13	33	0	46
Jun 2019	6	38	0	44
Jul 2019	8	32	0	40
Aug 2019	4	32	0	36
Sep 2019	7	35	0	42
Oct 2019	12	32	1	45
Nov 2019	10	24	0	34
Dec 2019	6	17	0	23
Jan 2020	18	12	2	32
Feb 2020	14	19	15	48
Mar 2020	12	14	0	26
Apr 2020	9	11	1	21
May 2020	25	8	1	34
Jun 2020	35	14	3	52
Jul 2020	25	19	13	57
Aug 2020	12	13	5	30
Sep 2020	26	8	1	35
Oct 2020	26	8	1	35
Nov 2020	10	10	2	22
Dec 2020	13	21	1	35
Jan 2021	34	19	2	55
Feb 2021	13	20	3	36
Mar 2021	13	25	1	39
Apr 2021	14	18	0	32
May 2021	13	16	3	32
Jun 2021	5	15	1	21
Jul 2021	4	15	0	19
Aug 2021	14	23	1	38
Sep 2021	17	12	1	30
Oct 2021	12	45	2	59
Nov 2021	11	36	1	48
Dec 2021	12	13	0	25
Jan 2022	19	13	1	33
Feb 2022	19	19	2	40
Mar 2022	14	23	1	38
Apr 2022	21	16	1	38
May 2022	14	14	2	30
Jun 2022	20	12	1	33
Jul 2022	16	12	0	28
Aug 2022	17	14	0	31
Sep 2022	13	33	2	48
Oct 2022	14	11	1	26
Nov 2022	28	13	1	42
Dec 2022	23	14	2	39
Jan 2023	34	10	1	45
Feb 2023	23	19	3	45
Mar 2023	35	12	0	47
Apr 2023	16	20	2	38
May 2023	12	12	0	24
Jun 2023	15	7	4	26
Jul 2023	18	9	1	28
Aug 2023	15	7	3	25
Sep 2023	10	8	0	18
Oct 2023	28	19	3	50
Nov 2023	18	5	1	24
Dec 2023	23	11	1	35
Jan 2024	23	6	0	29
Feb 2024	12	4	0	16
Mar 2024	21	10	1	32
Apr 2024	24	8	5	37
May 2024	28	14	4	46
Jun 2024	51	15	4	70
Jul 2024	44	28	3	75
Aug 2024	42	12	0	54
Sep 2024	15	12	0	27
Oct 2024	23	10	1	34
Nov 2024	19	5	1	25
Dec 2024	18	8	1	27
Jan 2025	21	10	0	31
Feb 2025	28	11	3	42
Mar 2025	25	14	1	40
Apr 2025	19	16	0	35
May 2025	34	13	4	51
Jun 2025	51	10	0	61
Jul 2025	45	15	3	63
Aug 2025	46	23	3	72
Sep 2025	39	15	1	55
Oct 2025	50	25	3	78
Nov 2025	23	19	9	51

Latest update: 22 Nov 2025

Download

Article (4158 KB)
Full-text XML

Short summary

By analysing the quantitative leaf-traits along extensive temperature and moisture gradients with generalized linear models, we found that metabolism-related traits are universally acclimated to environmental conditions, rather than being fixed within plant functional types. The results strongly support a move towards Dynamic Global Vegetation Models in which continuous, adaptive trait variation provides the fundamental mechanism for changes in ecosystem properties along environmental gradients.