南北样带温带区栎属树种功能性状间的关系及其对气象因子的响应

doi:10.3773/j.issn.1005-264x.2010.06.001

摘要/Abstract

摘要：

在南北样带温带区选择11个栎属(Quercus)树种的核心分布区, 对各分布区内栎属建群树种的功能性状进行了测定, 并对功能性状间的关系及其对气象因子的响应进行了分析, 以期为气候变化背景下植物-环境关系的深入研究奠定基础。结果表明: 虽然比叶重(LMA)和叶片干物质含量(LDMC)在反映栎属树种生活策略上有着异曲同工的作用, 但是相比之下, LMA的作用略胜一筹; 基于面积的叶片养分含量间的关系较基于质量的更为显著; 除叶片单位面积磷含量(P_area)和单位面积钾含量(K_area)间关系外, 无论是基于面积还是质量的叶片氮(N)、磷(P)含量间的正相关, 均较两者与钾(K)含量间的正相关显著, 这可能与K元素并不直接参与任何稳定结构物质的合成有关。温度和日照时数是影响功能性状间关系的主要气象因子, 与基于质量的养分含量相比, 基于面积的养分含量更易于受温度和日照时数的影响; 降水仅仅影响叶片P_area与其他性状间的关系。

关键词: 功能性状, 生活策略, 气象因子, 栎属, 南北样带温带区

Abstract:

Aims We studied the relationships between functional traits of Quercus species and their responses to meteorological factors in the temperate zone of the North-South Transect of Eastern China (NSTEC), with the objective of finding the dynamics of the relationship between plants and environment.

Methods We measured functional traits of Quercus dominant trees in their eleven core habitats in the temperate zone of NSTEC and analyzed relationships among the traits and their responses to meteorological factors.

Important findings Although leaf mass per area (LMA) and leaf dry matters content (LDMC) could indicate life strategy of the Quercus trees, the implications of LMA was more obvious. The relationships among leaf nutrients based on area were more significant than those based on weight, and the relationships between leaf nitrogen and phosphorus contents were more significant than their relationships to potassium content except for the relationship between phosphorus content per leaf area (P_area) and potassium content per leaf area (K_area). This could be interpreted that potassium does not take part in synthesizing stable structural materials directly in plants. Mean annual temperature (MAT) and mean annual sunlight (MASL) were the main meteorological factors that affected the relationships among functional traits. Compared to leaf nutrients based on weight, those based on area were affected more by MAT and MASL. Mean annual rainfall (MAR) had an effect only on the relationships between P_area and other traits.

Key words: functional traits, life strategy, meteorological factors, Quercus, temperate zone of NSTEC

冯秋红, 史作民, 董莉莉, 刘世荣. 南北样带温带区栎属树种功能性状间的关系及其对气象因子的响应. 植物生态学报, 2010, 34(6): 619-627. DOI: 10.3773/j.issn.1005-264x.2010.06.001

FENG Qiu-Hong, SHI Zuo-Min, DONG Li-Li, LIU Shi-Rong. Relationships among functional traits of Quercus species and their response to meteorological factors in the temperate zone of the North-South Transect of Eastern China. Chinese Journal of Plant Ecology, 2010, 34(6): 619-627. DOI: 10.3773/j.issn.1005-264x.2010.06.001

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https://www.plant-ecology.com/CN/Y2010/V34/I6/619

图/表 6

参考文献 21

[1]	Cornelissen JHC, Lavorel S, Garnier E, Diaz S, Bunchmann N, Gurvich DE, Reich PB, ter Steege H, Morgan HD, van der Heijden MGA, Pausas JG, Pooter H (2003). A handbook of protocols for standardized and easy measurement of plant functional traits worldwide. Australian Journal of Botany, 51, 335-380. DOI URL
[2]	Falster DS, Warton DI, Wright IJ (2006). SMATR: Standardised Major Axis Tests & Routines. Version 2.0, Copyright 2006. http://www.bio.mq.edu.au/ecology/SMATR/index.html. Cited 12 Oct. 2008.
[3]	Fargione J, Tilman D (2006). Plant species traits and capacity for resource reduction predict yield and abundance under competition in nitrogen-limited grassland. Functional Ecology, 20, 533-540. DOI URL
[4]	Franco AC, Bustamante M, Caldas LS, Goldstein G, Meinzer FC, Kozovits AR, Rundel P, Coradin VTR (2005). Leaf functional traits of Neotropical savanna trees in relation to seasonal water deficit. Trees, 19, 326-335. DOI URL
[5]	He JS, Wang ZH, Wang XP (2006). A test of the generality of leaf trait relationship on the Tibetan Plateau. New Phytologist, 170, 835-848. DOI URL
[6]	Niinemets U (2001). Global-scale climatic controls of leaf dry mass per area, density, and thickness in trees and shrubs. Ecology, 82, 453-469. DOI URL
[7]	Reich PB, Ellsworth DS, Walters MB, Vose JM, Gresham C, Volin JC, Bowman WD (1999). Generality of leaf traits relationships: a test across six biomes. Ecology, 80, 1955-1969. DOI URL
[8]	Reich PB, Oleksyn J (2004). Global patterns of plant leaf N and P in relation to temperature and latitude. Proceedings of the National Academy of Sciences of the United States of America, 101, 11001-11006. DOI URL PMID
[9]	Santiago LS, Wright IJ (2007). Leaf functional traits of tropical forest plants in relation to growth form. Functional Ecology, 21, 19-27.
[10]	Saura-Mas S, Shipley B, Lioret F (2009). Relationship between post-ﬁre regeneration and leaf economics spectrum in Mediterranean woody species. Functional Ecology, 23, 103-110. DOI URL
[11]	van der Werf A, Geerts RHEM, Jacobs FHH, Korevaar H, Oomes MJM, de Visser W (1998). The importance of relative growth rate and associated traits for competition between species during vegetation succession. In: Lambers H, Poorter H, van Vuuren MMI eds. Inherent Variation in Plant Growth Physiological Mechanisms and Ecological Consequences. Backhuys Publishers, Leiden, The Netherlands. 489-502.
[12]	Wang SS (王沙生), Gao RF (高荣孚), Wu GM (吴贯明) (1991). Plant Physiology (植物生理学). Chinese Forestry Publishing House, Beijing. 211-232. (in Chinese)
[13]	Wilson PJ, Thompson K, Hodgson JG (1999). Specific leaf area and leaf dry matter content as alternative predictors of plant strategies. New Phytologist, 143, 155-162. DOI URL
[14]	Withington JM, Reich PB, Oleksyn J, Eissenstat DM (2006). Comparisons of structure and life span in roots and leaves among temperate trees. Ecological Monographs, 76, 381-397. DOI URL
[15]	Wright IJ, Groom PK, Lamont BB, Poot P, Prior LD, Reich PB, Schulze ED, Veneklaas EJ, Westoby M (2004a). Leaf traits relationships in Australian plant species. Functional Plant Biology, 31, 551-558. DOI URL PMID
[16]	Wright IJ, Reich PB, Cornelissen JHC, Falster DS, Garnier E, Hikosaka K, Lamont BB, Lee W, Olekssyn J, Osada N, Pooter H, Villar R, Warton DI, Westoby M (2005a). Assessing the generality of global leaf trait relationships. New Phytologist, 166, 485-496. DOI URL
[17]	Wright IJ, Reich PB, Cornelissen JHC, Falster DS, Groom PK, Hikosaka K, Lee W, Lusk CH, Niinemets U, Oleksyn J, Osada N, Pooter H, Warton DI, Westoby M (2005b). Modulation of leaf economic traits and trait relationships by climate. Global Ecology and Biogeography, 14, 411-421. DOI URL
[18]	Wright IJ, Reich PB, Westoby M, Ackerly DD, Baruch Z, Bongers F, Cavender-Bares J, Chapin T, Cornelissen JNCC, Diemer M, Flexas J, Garnier E, Groom PK, Gullas J, Hikosaka K, Lamout BB, Lee W, Lusk C, Midgley JJ, Navas ML, Niinements U, Oleksyn J, Osada N, Poorter H, Poot P, Prior L, Pyankow V, Roument C, Thomas SC, Tjoelker MG, Veneklaas EJ, Villar R (2004b). The worldwide leaf economics spectrum. Nature, 428, 821-827. URL PMID
[19]	Wu WH (武维华) (2005). Plant Physiology (植物生理学). Science Press, Beijing. 117-175. (in Chinese)
[20]	Xiang MH (向明惠), Yu SW (余叔文) (1991). Advances in stomatal physiology by using guard cell protoplasts as experimental system. Plant Physiology Communications (植物生理学通讯), 27(1), 1-6. (in Chinese)
[21]	Xu DQ (许大全) (1984). Stomatal movement and photosynthesis. Plant Physiology Communications (植物生理学通讯), (6), 6-12. (in Chinese)

地点 Sites	所属省份 Province	树种 Species	纬度 Latitude	经度 Longitude	海拔 Altitude (m)	年平均气温 Mean annual temperature (℃)	年平均降水量 Mean annual rainfall (mm)	年日照时数 Mean annual sunlight (h)
帽儿山 Mao’ershan	黑龙江 Heilongjiang	蒙古栎 Quercus mongolica	45°25′ N	127°38′ E	380	2.89	656.57	2 478
长白山 Changbaishan	吉林 Jilin	蒙古栎 Q. mongolica	42°34′ N	128°05′ E	545	2.69	668.64	2 365
清源 Qingyuan	辽宁 Liaoning	蒙古栎 Q. mongolica	41°51′ N	124°56′ E	606	5.78	772.25	2 398
老秃顶子 Laotudingzi	辽宁 Liaoning	蒙古栎 Q. mongolica、辽东栎 Q. liaotungensis	41°20′ N	124°55′ E	636	6.30	944.00	2 410
桓仁 Huanren	辽宁 Liaoning	蒙古栎 Q. mongolica、辽东栎 Q. liaotungensis	41°18′N	125°26′ E	350	6.88	807.38	2 409
草河口 Caohekou	辽宁 Liaoning	蒙古栎 Q. mongolica、辽东栎 Q. Liaotungensis	40°51′ N	123°52′ E	530	7.87	773.64	2 303
雾灵山 Wulingshan	河北 Hebei	蒙古栎 Q. mongolica	40°26′ N	117°28′ E	1 300	8.98	763.30	2 760
仙人洞 Xianrendong	辽宁 Liaoning	蒙古栎 Q. mongolica、槲栎 Q. aliena、槲树 Q. dentata、栓皮栎 Q. variabilis、麻栎 Q. acutissima	39°59′ N	122°57′ E	220	9.06	736.52	2 453
济源 Jiyuan	河南 Henan	辽东栎 Q. liaotungensis、栓皮栎 Q. variabilis、槲栎 Q. aliena、锐齿槲栎 Q. aliena var. acuteserrata	35°15′ N	112°07′ E	1 303	13.89	621.80	2 245
栾川 Luanchuan	河南 Henan	栓皮栎 Q. variabilis、槲树 Q. dentata、锐齿槲栎 Q. aliena var. acuteserrata、短柄枹栎 Q. serrata var. brevipertiolata	33°45′ N	111°39′ E	1 352	12.12	825.32	2 139
宝天曼 Baotianman	河南 Henan	栓皮栎 Q. variabilis、锐齿槲栎 Q. aliena var. acuteserrata、短柄枹栎 Q. serrata var. brevipertiolata	33°30′ N	111°56′ E	1 495	15.04	839.92	1 937

地点 Sites	所属省份 Province	树种 Species	纬度 Latitude	经度 Longitude	海拔 Altitude (m)	年平均气温 Mean annual temperature (℃)	年平均降水量 Mean annual rainfall (mm)	年日照时数 Mean annual sunlight (h)
帽儿山 Mao’ershan	黑龙江 Heilongjiang	蒙古栎 Quercus mongolica	45°25′ N	127°38′ E	380	2.89	656.57	2 478
长白山 Changbaishan	吉林 Jilin	蒙古栎 Q. mongolica	42°34′ N	128°05′ E	545	2.69	668.64	2 365
清源 Qingyuan	辽宁 Liaoning	蒙古栎 Q. mongolica	41°51′ N	124°56′ E	606	5.78	772.25	2 398
老秃顶子 Laotudingzi	辽宁 Liaoning	蒙古栎 Q. mongolica、辽东栎 Q. liaotungensis	41°20′ N	124°55′ E	636	6.30	944.00	2 410
桓仁 Huanren	辽宁 Liaoning	蒙古栎 Q. mongolica、辽东栎 Q. liaotungensis	41°18′N	125°26′ E	350	6.88	807.38	2 409
草河口 Caohekou	辽宁 Liaoning	蒙古栎 Q. mongolica、辽东栎 Q. Liaotungensis	40°51′ N	123°52′ E	530	7.87	773.64	2 303
雾灵山 Wulingshan	河北 Hebei	蒙古栎 Q. mongolica	40°26′ N	117°28′ E	1 300	8.98	763.30	2 760
仙人洞 Xianrendong	辽宁 Liaoning	蒙古栎 Q. mongolica、槲栎 Q. aliena、槲树 Q. dentata、栓皮栎 Q. variabilis、麻栎 Q. acutissima	39°59′ N	122°57′ E	220	9.06	736.52	2 453
济源 Jiyuan	河南 Henan	辽东栎 Q. liaotungensis、栓皮栎 Q. variabilis、槲栎 Q. aliena、锐齿槲栎 Q. aliena var. acuteserrata	35°15′ N	112°07′ E	1 303	13.89	621.80	2 245
栾川 Luanchuan	河南 Henan	栓皮栎 Q. variabilis、槲树 Q. dentata、锐齿槲栎 Q. aliena var. acuteserrata、短柄枹栎 Q. serrata var. brevipertiolata	33°45′ N	111°39′ E	1 352	12.12	825.32	2 139
宝天曼 Baotianman	河南 Henan	栓皮栎 Q. variabilis、锐齿槲栎 Q. aliena var. acuteserrata、短柄枹栎 Q. serrata var. brevipertiolata	33°30′ N	111°56′ E	1 495	15.04	839.92	1 937

	系数 Coefficient	Log P_na	Log P_nm
Log LMA	r p	0.529 0.143	-0.001 0.998
Log LDMC	r p	0.207 0.593	-0.176 0.651
Log P_na	r p	1.000 0.000	0.847** 0.004
Log P_nm	r p	0.847** 0.004	1.000 0.000
Log N_mass	r p	0.034 0.930	-0.329 0.387
Log N_area	r p	0.283 0.460	-0.214 0.581
Log K_mass	r p	0.081 0.963	0.281 0.464
Log K_area	r p	0.504 0.166	0.269 0.484
Log P_mass	r p	0.638 0.064	0.432 0.245
Log P_area	r p	0.686* 0.041	0.309 0.419

	系数 Coefficient	Log P_na	Log P_nm
Log LMA	r p	0.529 0.143	-0.001 0.998
Log LDMC	r p	0.207 0.593	-0.176 0.651
Log P_na	r p	1.000 0.000	0.847** 0.004
Log P_nm	r p	0.847** 0.004	1.000 0.000
Log N_mass	r p	0.034 0.930	-0.329 0.387
Log N_area	r p	0.283 0.460	-0.214 0.581
Log K_mass	r p	0.081 0.963	0.281 0.464
Log K_area	r p	0.504 0.166	0.269 0.484
Log P_mass	r p	0.638 0.064	0.432 0.245
Log P_area	r p	0.686* 0.041	0.309 0.419

功能性状对 Trait-pair	系数 Coefficient	年平均气温 Mean annual temperature		年平均降水量 Mean annual rainfall		年平均日照时数 Mean annual sunlight
功能性状对 Trait-pair	系数 Coefficient	5-10 (℃)	10-20 (℃)	600-750 (mm)	750-900 (mm)	1 800-2 200 (h)	2 200-2 500 (h)
LMA-LDMC	SMA	0.38	0.43	0.53	0.37	0.43	0.38
	R²	0.60	0.47	0.09	0.61	0.47	0.60
	n	12	11	8	15	11	12
LMA-N_area	SMA	1.83	1.06	0.90	1.98	1.06	1.83
	R²	0.34	0.56	0.40	0.19	0.56	0.34
	n	12	11	8	15	11	12
LMA-P_area	SMA	1.37	1.95	2.03	1.80	1.95	1.37
	R²	0.50	0.81	0.48	0.55	0.81	0.50
	n	12	11	8	15	11	12
LMA-K_area	SMA	0.92	0.81	1.14	0.97	0.81	0.92
	R²	0.26	0.73	0.15	0.52	0.73	0.26
	n	12	11	8	15	11	12
LMA-K_mass	SMA	-1.67	-0.84	-1.18	-0.71	-0.84	-1.67
	R²	0.302	0.331	0.20	0.14	0.331	0.302
	n	12	11	8	15	11	12
N_area-P_area	SMA	0.75	1.85	2.25	0.91	1.85	0.75
	R²	0.62	0.64	0.58	0.40	0.64	0.62
	n	12	11	8	15	11	12
N_area-K_area	SMA	0.50	0.76	1.26	0.49	0.76	0.50
	R²	0.36	0.58	0.09	0.47	0.58	0.36
	n	12	11	8	15	11	12
P_area-K_area	SMA	0.67	0.41	0.56	0.54	0.41	0.67
	R²	0.52	0.80	0.30	0.78	0.80	0.52
	n	12	11	8	15	11	12
N_mass-P_mass	SMA	0.66	1.57	1.71	0.71	1.57	0.66
	R²	0.40	0.02	0.08	0.22	0.02	0.40
	n	12	12	9	15	12	12
N_mass-K_mass	SMA	0.65	0.83	1.57	0.41	0.83	0.65
	R²	0.11	0.08	0.02	0.35	0.08	0.11
	n	12	12	9	15	12	12
P_mass-K_mass	SMA	0.99	0.53	0.92	0.58	0.53	0.99
	R²	0.31	0.02	0.123	0.344	0.02	0.31
	n	12	12	9	15	12	12