Hydro-fluctuation belt plant configuration method based on interspecific connectivity and hydro-fluctuation belt ecological restoration method
A technology of plant configuration and water-fluctuation zone, applied in the field of ecology, can solve the problems of negative impact on the stability of the ecosystem structure of the water-fluctuation zone, failure to consider the relationship between species and coexistence strategies, and low survival rate, and achieve accurate plant matching Mode, optimize the effect of plant matching mode
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Embodiment 1
[0092] Select the typical water-fluctuation zone sample site, namely the water-fluctuation zone of the Three Gorges Reservoir in Kaizhou District, adopt the sample survey method, at the water level elevations of 150-160m, 160-165m, 165-170m, 170-175m, random Set up four 1m×1m quadrats. Since the selected quadrats avoid sparse areas, in order to remove the influence of topography, the terrain conditions such as slope and slope position of the selected quadrats are consistent. In each quadrat, survey and record species composition, species height, species frequency, species density and species richness, calculate the important value IV of each species according to the formula, and screen the important values in each quadrat Species ≥2 were regarded as dominant species, and the niche width B and niche overlap value O of the dominant species were calculated. The results of importance and niche width of dominant species are shown in Table 1, and the results of niche overlap valu...
Embodiment 2
[0107] The variance ratio VR method was used to test the overall connectivity of dominant species among the plots at different water elevations.
[0108]
[0109] said is the variance of the number of species, is the variance of the relative frequency of species. The results are shown in Table 3.
[0110] The method of judging connectivity based on the VR value is:
[0111] VR=1 means that the species are independent of each other;
[0112] VR>1 indicates positive association between species;
[0113] VR<1 indicates negative association between species;
[0114] For the significant degree of VR>1 and VR2 90% confidence interval for and χ 2 (0.95,n)2 (0.05, n), indicating that the overall association between species is not significant, otherwise, the overall association between species is significant;
[0115] The formula for calculating W is:
[0116] W=n×VR;
[0117] The n represents the total number of sample squares.
[0118] Table 3 Overall connectivity of dom...
Embodiment 3
[0122] The chi-square test and the interspecific association coefficient were used to analyze the association between species pairs in the sample plot.
[0123] The quadrats including the dominant species were combined into a binary data matrix, and a 2×2 contingency table was established, with χ 2 Based on the test, combined with the association coefficient AC to determine the association between each species pair in different sample plots.
[0124]
[0125] The a represents the number of quadrats in which species A and species B co-occur; b represents the number of quadrats in which species A appears but species B does not; c represents the number of quadrats in which species A does not appear but species B appears; d represents species A The number of quadrats that neither species nor species B appeared; n represents the total number of quadrats.
[0126] (1) When ad>=bc, according to The calculation formula calculates the connection coefficient AC;
[0127] (2) When...
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