73 research outputs found

    Correlation of patch connectivity index S and sex ratio of individuals (A) younger and (B) older than 50 years in 20 populations of <i>P. chinensis</i> on the studied islands, The Pearson correlation coefficient A: r = 0.77, <i>P</i><0.0001; B: r = 0.044, <i>P</i> = 0.843.

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    <p>Correlation of patch connectivity index S and sex ratio of individuals (A) younger and (B) older than 50 years in 20 populations of <i>P. chinensis</i> on the studied islands, The Pearson correlation coefficient A: r = 0.77, <i>P</i><0.0001; B: r = 0.044, <i>P</i> = 0.843.</p

    Map indicating the islands surveyed in the study and locations of 30 <i>P. chinensis</i> populations on the islands.

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    <p>Map indicating the islands surveyed in the study and locations of 30 <i>P. chinensis</i> populations on the islands.</p

    Correlation of log population size and sex ratio (F/M) of 30 populations on the fragmented islands (closed circle) and one population on the mainland (open circle), The Pearson correlation coefficient <i>r</i> = 0.661, <i>p</i><0.001.

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    <p>Correlation of log population size and sex ratio (F/M) of 30 populations on the fragmented islands (closed circle) and one population on the mainland (open circle), The Pearson correlation coefficient <i>r</i> = 0.661, <i>p</i><0.001.</p

    Age structure of mainland population, 3 populations with more than 100 individuals and 27 populations less 100 individuals, investigated individuals (solid line), sex determined individuals (dotted line).

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    <p>Age structure of mainland population, 3 populations with more than 100 individuals and 27 populations less 100 individuals, investigated individuals (solid line), sex determined individuals (dotted line).</p

    Quantitatively Verifying the Results' Rationality for Farmland Quality Evaluation with Crop Yield, a Case Study in the Northwest Henan Province, China

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    <div><p>Evaluating the assessing results’ rationality for farmland quality (FQ) is usually qualitative and based on farmers and experts’ perceptions of soil quality and crop yield. Its quantitative checking still remains difficult and is likely ignored. In this paper, FQ in Xiuwu County, the Northwest Henan Province, China was evaluated by the gray relational analysis (GRA) method and the traditional analytic hierarchy process (AHP) method. The consistency rate of two results was analysed. Research focused on proposing one method of testing the evaluation results’ rationality for FQ based on the crop yield. Firstly generating a grade map of crop yield and overlying it with the FQ evaluation maps. Then analysing their consistency rate for each grade in the same spatial position. Finally examining the consistency effects and allowing for a decision on adopting the results. The results showed that the area rate consistency and matching evaluation unit numbers between the two methods were 84.68% and 87.29%, respectively, and the space distribution was approximately equal. The area consistency rates between crop yield level and FQ evaluation levels by GRA and AHP were 78.15% and 74.29%, respectively. Therefore, the verifying effects of GRA and AHP were near, good and acceptable, and the FQ results from both could reflect the crop yield levels. The evaluation results by GCA, as a whole, were slightly more rational than that by AHP.</p></div

    Comparison of the FQ evaluation results based on GCA and yield grades.

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    <p>According to the comparison, there were some indentify status with different colours. Same indicated that the FQ grade area based on the GCA methods was the same as that of the yield level. Less indicated that the grade of the former was less than that of the latter. More indicated that the former was more than the latter. Abbreviations: FQ, Farmland Quality; GCA, gray correlation analysis.</p

    Comparison of FQ results by GCA and AHP in the study site.

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    <p>According to the comparison, there were two indentify status with different colours. Same indicated that FQ evaluation levels by GCA and AHP method for some unites were coincident. Difference meant that FQ levels by two methods did not well agree. Abbreviations: FQ, Farmland Quality; GCA, gray correlation analysis; AHP, analytic hierarchy process.</p

    Level distribution map of FQ evaluations based on GCA in the study site.

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    <p>The different grades of FQ evaluations were shown with different colours. Abbreviations: FQ, Farmland Quality; GCA, gray correlation analysis.</p
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