Biodiv Sci ›› 2022, Vol. 30 ›› Issue (1): 21157. DOI: 10.17520/biods.2021157
• Original Papers: Animal Diversity • Next Articles
Chao Zhang1, Minhao Chen1, Li Yang2, Hongfei Zhuang1, Shuhong Wu1, Zhenjie Zhan1, Jiadong Wang1, Xiaofeng Luan1,*()
Received:
2021-04-24
Accepted:
2021-08-26
Online:
2022-01-20
Published:
2022-01-29
Contact:
Xiaofeng Luan
Chao Zhang, Minhao Chen, Li Yang, Hongfei Zhuang, Shuhong Wu, Zhenjie Zhan, Jiadong Wang, Xiaofeng Luan. Distribution pattern and identification of conservation priority areas of the otter in Northeast China[J]. Biodiv Sci, 2022, 30(1): 21157.
环境变量 Environmental variables | 第一次方差膨胀因子评估 VIF evaluation for the first time | 第二次方差膨胀因子评估 VIF evaluation for the second time | 重要性 Importance |
---|---|---|---|
年降水量 Annual precipitation | 14.246 | - | - |
最湿季降水量 Precipitation of wettest quarter | 6.432 | 2.815 | 0.017 |
最干季降水量 Precipitation of driest quarter | 4.322 | 2.870 | 0.018 |
距河流距离 Distance from river | 1.361 | 1.357 | 0.521 |
湿润指数 Moisture index | 3.120 | 2.946 | 0.051 |
海拔 Elevation | 7.402 | 7.078 | 0.006 |
地表起伏度 Relief degree of land surface | 6.491 | 6.416 | 0.002 |
有林地密度 Forest density | 2.732 | 2.429 | 0.02 |
距道路距离 Distance from road | 1.389 | 1.376 | 0.003 |
人口密度 Human density | 1.070 | 1.067 | 0.117 |
人类压力 Anthropogenic pressures | 2.590 | 2.500 | 0.048 |
Table 1 Variance inflation factor (VIF) value and importance of environmental variables
环境变量 Environmental variables | 第一次方差膨胀因子评估 VIF evaluation for the first time | 第二次方差膨胀因子评估 VIF evaluation for the second time | 重要性 Importance |
---|---|---|---|
年降水量 Annual precipitation | 14.246 | - | - |
最湿季降水量 Precipitation of wettest quarter | 6.432 | 2.815 | 0.017 |
最干季降水量 Precipitation of driest quarter | 4.322 | 2.870 | 0.018 |
距河流距离 Distance from river | 1.361 | 1.357 | 0.521 |
湿润指数 Moisture index | 3.120 | 2.946 | 0.051 |
海拔 Elevation | 7.402 | 7.078 | 0.006 |
地表起伏度 Relief degree of land surface | 6.491 | 6.416 | 0.002 |
有林地密度 Forest density | 2.732 | 2.429 | 0.02 |
距道路距离 Distance from road | 1.389 | 1.376 | 0.003 |
人口密度 Human density | 1.070 | 1.067 | 0.117 |
人类压力 Anthropogenic pressures | 2.590 | 2.500 | 0.048 |
Fig. 2 Models selection (TSS, True skill statistics; AUC, Area under the receiver operating characteristic curve). GLM, Generalized linear model; GBM, Generalized boosted regression model; GAM: Generalized additive model; CTA, Classification tree analysis; ANN, Artificial neural network; SRE, Surface range envelope; FDA, Flexible discriminant analysis; MARS, Multiple adaptive regression splines; RF: Random forest; MaxEnt, Maximum entropy.
潜在分布区面积 Potential distribution (km2) | 保护优先区面积 Conservation priority areas (km2) | 潜在分布区平均人类压力 Mean anthropogenic pressures of potential distribution (0-1) | 保护优先区平均人类压力 Mean anthropogenic pressures of conservation priority areas (0-1) | |
---|---|---|---|---|
内蒙古 Inner Mongolia | 50,503.58 | 30,613.58 | 0.063 | 0.045 |
黑龙江 Heilongjiang | 48,533.40 | 10,269.55 | 0.078 | 0.065 |
吉林 Jilin | 5,250.36 | 4,338.16 | 0.148 | 0.135 |
辽宁 Liaoning | 227.7 | 227.7 | 0.223 | 0.223 |
Table 2 Potential distribution and conservation priority areas of the otter and mean anthropogenic pressures in each provinces/ autonomous region
潜在分布区面积 Potential distribution (km2) | 保护优先区面积 Conservation priority areas (km2) | 潜在分布区平均人类压力 Mean anthropogenic pressures of potential distribution (0-1) | 保护优先区平均人类压力 Mean anthropogenic pressures of conservation priority areas (0-1) | |
---|---|---|---|---|
内蒙古 Inner Mongolia | 50,503.58 | 30,613.58 | 0.063 | 0.045 |
黑龙江 Heilongjiang | 48,533.40 | 10,269.55 | 0.078 | 0.065 |
吉林 Jilin | 5,250.36 | 4,338.16 | 0.148 | 0.135 |
辽宁 Liaoning | 227.7 | 227.7 | 0.223 | 0.223 |
Fig. 5 Anthropogenic pressures in potential distribution (a) and conservation priority areas (b) of the otter. NMG: Inner Mongolia; HLJ: Heilongjiang; JL: Jilin; LN: Liaoning.
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