Scientia Silvae Sinicae ›› 2020, Vol. 56 ›› Issue (4): 99-108.doi: 10.11707/j.1001-7488.20200411
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Jingwei He1,Yiying Zhang1,Chengming Tian1,Dianguang Xiong1,Yingmei Liang2
Received:
2019-01-13
Online:
2020-04-25
Published:
2020-05-29
CLC Number:
Jingwei He,Yiying Zhang,Chengming Tian,Dianguang Xiong,Yingmei Liang. Effects of Regional Landscape Pattern on the Epidemic of Poplar Rust Disease: A Case Study of Populus alba in Yanqing, Beijing[J]. Scientia Silvae Sinicae, 2020, 56(4): 99-108.
Table 1
The grade standards of poplar rust disease"
病级 Diseas grade | 发病程度 Disease severity | 代表值 Value |
Ⅰ | 叶部无症状No uredinia | 0 |
Ⅱ | 叶背部夏孢子堆很少,呈零星分布Very little urediniascattered | 1 |
Ⅲ | 夏孢子堆小而稀,少数连片,占叶面积1/4~1/2 A few uredinia, yellow, cover an area of 1/4 to 1/2 | 2 |
Ⅳ | 夏孢子堆大,叶背多呈片状分布,占面积1/2~3/4 Some uredinia pieces, cover an area of 1/2 to 3/4 | 3 |
Ⅴ | 夏孢子堆大,布满整个叶背,叶脉处常较密,可见黄色粉状物 Uredinia covers the entire back of the leaf, yellow powder can be seen | 4 |
Table 2
Selected landscape pattern metrics"
类型 Category | 指数 Metric | 景观水平 Landscape | 类型水平 Class | 选取指数 Selected metric |
面积-形状 Area-shape | 景观面积Total area | √ | √ | TA |
最大斑块指数Largest patch index | √ | √ | LPI | |
斑块类型面积比Percentage of landscape | √ | PLAND | ||
斑块面积Patch area | √ | √ | AREA_MN、AREA_SD | |
回旋半径Radius of gyration | √ | √ | GYRATE_MN、GYRATE_SD | |
周长面积分维度Perimeter-area fractal dimension | √ | √ | PAFRAC | |
周长面积比率Perimeter-area ratio | √ | √ | PARA_MN、PARA_SD | |
形状指标Shape index | √ | √ | SHAPE_MN、SHAPE_SD | |
分维度指标Fractal dimension index | √ | √ | FRAC_MN、FRAC_SD | |
相关外接圆Related circumscribing circle | √ | √ | CIRCLE_MN、CIRCLE_SD | |
邻近指数Contiguity index | √ | √ | CONTIG_MN、CONTIG_SD | |
聚集度 Aggregation | 斑块数量Number of patches | √ | √ | NP |
斑块密度Patch density | √ | √ | PD | |
景观分离度Landscape division index | √ | √ | DIVISION | |
分散指数Splitting index | √ | √ | SPLIT | |
有效网格大小Effective mesh size | √ | √ | MESH | |
蔓延度Contagion | √ | CONTAG | ||
散布与并列指数Interspersion juxtaposition index | √ | √ | IJI | |
相似邻接比例Proportion of like adjacencies | √ | √ | PLADJ | |
聚合度Aggregation index | √ | √ | AI | |
斑块内聚力指数Patch cohesion index | √ | √ | COHESION | |
景观形状指数Landscape shape index(LSI) | √ | √ | LSI | |
标准化景观形状指数Normalized LSI | √ | NLSI | ||
丛聚指数Clumpiness | √ | CLUMPY | ||
几何最近距离Euclidean nearest neighbor distance | √ | √ | ENN_MN、ENN_SD | |
多样性 Diversity | 斑块丰富度Patch richness | √ | PR | |
斑块丰富度密度Patch richness density | √ | PRD | ||
香侬多样性指数Shannon’s diversity index | √ | SHDI | ||
辛普森多样性指数Simpson’s diversity index | √ | SIDI | ||
修正辛普森多样性指数Modified simpson’s diversity index | √ | MSIDI | ||
总计Total | 35 | 32 |
Table 3
Metrics selected at different scales after correlation analysis"
尺度 Scale | 选取指数 Metrics selected |
250 m | NP, AREA_SD, SHAPE_MN, SHAPE_SD, FRAC_MN, PARA_SD, CONTIG_MN, CONTIG_SD, ENN_MN, ENN_SD, COHESION, MESH, IJI, SHDI |
500 m | LPI, AREA_MN, GYRATE_MN, FRAC_MN, FRAC_SD, PARA_MN, CIRCLE_SD, CONTIG_SD, PAFRAC, ENN_MN, ENN_SD, PLADJ, IJI, COHESION, DIVISION, PD, PRD, SHDI |
750 m | LPI, AREA_MN, GYRATE_SD, SHAPE_MN, FRAC_MN, PARA_MN, CIRCLE_MN, CONTIG_MN, PAFRAC, PLADJ, IJI, COHESION, PRD, SHDI |
1 000 m | NP, SHAPE_MN, PARA_MN, CONTIG_MN, PAFRAC, CONTAG, COHESION, SPLIT, SIDI |
Table 4
Multiple stepwise regression results and model fitting degree on landscape level"
250 m | 500 m | 750 m | 1 000 m | |||||||
指数 Metrics | 回归系数 Estimate | 指数 Metrics | 回归系数 Estimate | 指数 Metrics | 回归系数 Estimate | 指数 Metrics | 回归系数 Estimate | |||
NP | 5.71* | LPI | 1.86* | AREA_MN | -3.09** | PARA_MN | -25.67** | |||
SHAPE_MN | -26.21** | PD | -3.66** | SHAPE_MN | 22.31* | CONTIG_SD | 156.31** | |||
SHAPE_SD | 8.22* | FRAC_SD | 167.23** | PARA_MN | -54.62* | CONTAG | 3.22* | |||
FRAC_MN | 214.08** | PARA_MN | -34.71* | CONTIG_MN | -96.16** | COHESION | 82.59** | |||
CONTIG_MN | -64.87** | PAFRAC | -40.85** | PAFRAC | -84.33** | SPLIT | 12.73** | |||
ENN_MN | 4.94* | PLADJ | -6.28* | COHESION | 22.49** | SIDI | -0.42* | |||
MESH | -8.64** | IJI | 7.34** | SHDI | -0.75* | |||||
DIVISION | 6.55* | |||||||||
SHDI | -0.17** | |||||||||
R2=0.42 P=0.02 | R2=0.60 P < 0.01 | R2=0.45 P=0.03 | R2=0.29 P=0.01 |
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