Effects of plateau pika on the relationship between plant species diversity and functional diversity in alpine meadow

doi:10.11686/cyxb2021444

Abstract

Abstract:

The relationship between plant species diversity and functional diversity in grassland will change with environmental changes. The plateau pika （Ochotona curzoniae） has an effect on the hydrothermal process of alpine meadow in its nesting area. However， it is not clear whether the disturbance of plateau pika effects the relationship between plant species diversity and functional diversity in alpine meadow. A random stratified and paired design was used to select plots in Luqu county in Gansu Province， and Qilian and Gonghe Counties in Qinghai Province and a field survey was conducted to investigate the effects of plateau pika disturbance on the relationship between plant species diversity and functional diversity of the alpine meadow. It was found that plateau pika disturbance significantly increased the plant species richness index and the species diversity index but did not significantly affect the species evenness index. Plateau pika disturbance significantly increased plant functional richness index （P<0.05） but had no significant effect on the plant functional evenness index or the functional divergence index. With plateau pika disturbance effects， the relationship between plant functional richness index and species richness index changed from a logarithmic function to a quadratic function， and the relationship between plant functional evenness index and species evenness index changed from non-significant to significantly positive. In addition， positive correlations between functional richness index and species richness index， and functional richness index and species diversity index were significantly decreased， as were negative correlations between functional divergence index and species richness index， and functional divergence index and species diversity index were significantly decreased. The findings of this study provide basic information for understanding the mechanism of species coexistence of plant communities under plateau pika disturbance and help understanding of how plant diversity effects in an alpine meadow ecosystem function under plateau pika disturbance.

Key words: plateau pika disturbance, alpine meadow, plant species diversity, plant functional diversity

Yuan-yuan DUAN, Jing ZHANG, Ling-ling WANG, Cai-feng LIU, Yi-mo WANG, Su ZHOU, Zheng-gang GUO. Effects of plateau pika on the relationship between plant species diversity and functional diversity in alpine meadow[J]. Acta Prataculturae Sinica, 2022, 31(11): 25-35.

Figures/Tables 3

References 36

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指标 Index	项目 Item	未干扰Undisturbance			干扰Disturbance
指标 Index	项目 Item	拟合方程Fitting equations	R²	r	拟合方程Fitting equations	R²	r
FAD₂	Patrick	y=0.0421x+1.487	0.9199	0.959**	y=0.0292x+1.764	0.8795	0.938**
		y=1.5889e^0.0189^x	0.9022		y=1.8554e^0.0116^x	0.8667
		y=0.7449ln（x）+0.1245	0.9378		y=0.7152ln（x）+0.2281	0.8718
		y=-0.0011x²+0.0826x+1.1367	0.9353		y=-0.0001x²+0.0346x+1.6999	0.8800
	Shannon	y=0.3173x+1.4461	0.3268	0.926**	y=0.7864x+0.2331	0.8334	0.913**
		y=1.5625e^0.1418^x	0.3178		y=1.0032e^0.315^x	0.8308
		y=0.3871ln（x）+1.9015	0.1528		y=2.236ln（x）+0.1435	0.8248
		y=0.4703x²-1.6267x+3.2612	0.8488		y=0.1856x²-0.2835x+1.7596	0.8376
	Pielou	y=-0.7744x+2.9026	0.0586	-0.242	y=-0.3645x+2.7652	0.0123	-0.111
		y=3.0331e^-0.361^x	0.0621		y=2.7708e^-0.148^x	0.0126
		y=-0.574ln（x）+2.1504	0.0478		y=-0.228ln（x）+2.4194	0.0080
		y=-16.957x²+27.278x-8.6092	0.2597		y=-5.5064x²+8.3161x-0.617	0.0646
FEve	Patrick	y=-0.0016x+0.7483	0.0457	-0.214	y=-0.0013x+0.7342	0.1218	-0.349
		y=0.747e^-0.002^x	0.0421		y=0.7343e^-0.002^x	0.1225
		y=-0.036ln（x）+0.8207	0.0715		y=-0.034ln（x）+0.8088	0.1363
		y=0.0005x²-0.02x+0.9073	0.1507		y=0.0001x²-0.007x+0.8021	0.1602
	Shannon	y=-0.0079x+0.7394	0.0028	-0.052	y=-0.0266x+0.7784	0.0665	-0.258
		y=0.7326e^-0.008^x	0.0014		y=0.7815e^-0.038^x	0.0658
		y=-0.027ln（x）+0.744	0.0047		y=-0.08ln（x）+0.7863	0.0742
		y=0.1342x²-0.6996x+1.6209	0.0735		y=0.0996x²-0.6006x+1.5974	0.1509
	Pielou	y=0.2659x+0.4966	0.2297	0.258	y=0.1015x+0.619	0.0665	0.479**
		y=0.5218e^0.3815^x	0.2300		y=0.6222e^0.1465^x	0.0684
		y=0.2185ln（x）+0.7589	0.2302		y=0.0694ln（x）+0.7165	0.0519
		y=-0.1184x²+0.4618x+0.4162	0.2361		y=0.8947x²-1.3089x+1.1685	0.1630
FDis	Patrick	y=-0.0036x+0.8127	0.3364	-0.580**	y=-0.0021x+0.807	0.2799	-0.520**
		y=0.8155e^-0.005^x	0.3310		y=0.8077e^-0.003^x	0.2737
		y=-0.062ln（x）+0.9238	0.3228		y=-0.054ln（x）+0.9231	0.2702
		y=-4×10^-7x²-0.0036x+0.8126	0.3363		y=5×10^-5x²-0.0048x+0.8388	0.2798
	Shannon	y=-0.0565x+0.895	0.2095	-0.458*	y=-0.0571x+0.9178	0.2521	-0.502**
		y=0.9098e^-0.076^x	0.2027		y=0.9342e^-0.075^x	0.2538
		y=-0.144ln（x）+0.8848	0.2088		y=-0.164ln（x）+0.9258	0.2538
		y=-0.0044x²-0.034x+0.8663	0.2096		y=0.0155x²-0.1465x+1.0453	0.2546
	Pielou	y=0.0944x+0.6681	0.0436	0.209	y=0.0452x+0.7184	0.0108	0.104
		y=0.6683e^0.1321^x	0.0460		y=0.7186e^0.0598^x	0.0111
		y=0.0769ln（x）+0.7611	0.0429		y=0.0282ln（x）+0.7612	0.0070
		y=0.0744x²-0.0287x+0.7186	0.0438		y=0.6166x²-0.9268x+1.0971	0.0484

指标 Index	项目 Item	未干扰Undisturbance			干扰Disturbance
指标 Index	项目 Item	拟合方程Fitting equations	R²	r	拟合方程Fitting equations	R²	r
FAD₂	Patrick	y=0.0421x+1.487	0.9199	0.959**	y=0.0292x+1.764	0.8795	0.938**
		y=1.5889e^0.0189^x	0.9022		y=1.8554e^0.0116^x	0.8667
		y=0.7449ln（x）+0.1245	0.9378		y=0.7152ln（x）+0.2281	0.8718
		y=-0.0011x²+0.0826x+1.1367	0.9353		y=-0.0001x²+0.0346x+1.6999	0.8800
	Shannon	y=0.3173x+1.4461	0.3268	0.926**	y=0.7864x+0.2331	0.8334	0.913**
		y=1.5625e^0.1418^x	0.3178		y=1.0032e^0.315^x	0.8308
		y=0.3871ln（x）+1.9015	0.1528		y=2.236ln（x）+0.1435	0.8248
		y=0.4703x²-1.6267x+3.2612	0.8488		y=0.1856x²-0.2835x+1.7596	0.8376
	Pielou	y=-0.7744x+2.9026	0.0586	-0.242	y=-0.3645x+2.7652	0.0123	-0.111
		y=3.0331e^-0.361^x	0.0621		y=2.7708e^-0.148^x	0.0126
		y=-0.574ln（x）+2.1504	0.0478		y=-0.228ln（x）+2.4194	0.0080
		y=-16.957x²+27.278x-8.6092	0.2597		y=-5.5064x²+8.3161x-0.617	0.0646
FEve	Patrick	y=-0.0016x+0.7483	0.0457	-0.214	y=-0.0013x+0.7342	0.1218	-0.349
		y=0.747e^-0.002^x	0.0421		y=0.7343e^-0.002^x	0.1225
		y=-0.036ln（x）+0.8207	0.0715		y=-0.034ln（x）+0.8088	0.1363
		y=0.0005x²-0.02x+0.9073	0.1507		y=0.0001x²-0.007x+0.8021	0.1602
	Shannon	y=-0.0079x+0.7394	0.0028	-0.052	y=-0.0266x+0.7784	0.0665	-0.258
		y=0.7326e^-0.008^x	0.0014		y=0.7815e^-0.038^x	0.0658
		y=-0.027ln（x）+0.744	0.0047		y=-0.08ln（x）+0.7863	0.0742
		y=0.1342x²-0.6996x+1.6209	0.0735		y=0.0996x²-0.6006x+1.5974	0.1509
	Pielou	y=0.2659x+0.4966	0.2297	0.258	y=0.1015x+0.619	0.0665	0.479**
		y=0.5218e^0.3815^x	0.2300		y=0.6222e^0.1465^x	0.0684
		y=0.2185ln（x）+0.7589	0.2302		y=0.0694ln（x）+0.7165	0.0519
		y=-0.1184x²+0.4618x+0.4162	0.2361		y=0.8947x²-1.3089x+1.1685	0.1630
FDis	Patrick	y=-0.0036x+0.8127	0.3364	-0.580**	y=-0.0021x+0.807	0.2799	-0.520**
		y=0.8155e^-0.005^x	0.3310		y=0.8077e^-0.003^x	0.2737
		y=-0.062ln（x）+0.9238	0.3228		y=-0.054ln（x）+0.9231	0.2702
		y=-4×10^-7x²-0.0036x+0.8126	0.3363		y=5×10^-5x²-0.0048x+0.8388	0.2798
	Shannon	y=-0.0565x+0.895	0.2095	-0.458*	y=-0.0571x+0.9178	0.2521	-0.502**
		y=0.9098e^-0.076^x	0.2027		y=0.9342e^-0.075^x	0.2538
		y=-0.144ln（x）+0.8848	0.2088		y=-0.164ln（x）+0.9258	0.2538
		y=-0.0044x²-0.034x+0.8663	0.2096		y=0.0155x²-0.1465x+1.0453	0.2546
	Pielou	y=0.0944x+0.6681	0.0436	0.209	y=0.0452x+0.7184	0.0108	0.104
		y=0.6683e^0.1321^x	0.0460		y=0.7186e^0.0598^x	0.0111
		y=0.0769ln（x）+0.7611	0.0429		y=0.0282ln（x）+0.7612	0.0070
		y=0.0744x²-0.0287x+0.7186	0.0438		y=0.6166x²-0.9268x+1.0971	0.0484

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