145 related articles for article (PubMed ID: 33393244)
1. [Prediction of potential geographical distribution patterns of
Liu C; Huo HL; Tian LM; Dong XG; Xu JY; Qi D; Zhang Y; Cao YF
Ying Yong Sheng Tai Xue Bao; 2020 Dec; 31(12):4073-4079. PubMed ID: 33393244
[TBL] [Abstract][Full Text] [Related]
2. [Potential geographical distribution of Pyrus calleryana under different climate change scena-rios based on the MaxEnt model].
Liu C; Huo HL; Tian LM; Dong XG; Qi D; Zhang Y; Xu JY; Cao YF
Ying Yong Sheng Tai Xue Bao; 2018 Nov; 29(11):3696-3704. PubMed ID: 30460817
[TBL] [Abstract][Full Text] [Related]
3. Predicting the potential distribution of Campsis grandiflora in China under climate change.
Ouyang X; Pan J; Wu Z; Chen A
Environ Sci Pollut Res Int; 2022 Sep; 29(42):63629-63639. PubMed ID: 35461417
[TBL] [Abstract][Full Text] [Related]
4. Predicting suitable distribution areas of
Zhang WP; Hu YY; Li ZH; Feng XP; Li DW
Ying Yong Sheng Tai Xue Bao; 2021 Jul; 32(7):2514-2524. PubMed ID: 34313070
[TBL] [Abstract][Full Text] [Related]
5. [Applying Biomod2 for modeling of species suitable habitats:a case study of Paeonia lactiflora in China].
Bi YQ; Zhang MX; Chen Y; Wang AX; Li MH
Zhongguo Zhong Yao Za Zhi; 2022 Jan; 47(2):376-384. PubMed ID: 35178979
[TBL] [Abstract][Full Text] [Related]
6. [Prediction of the potential distribution of Tibetan medicinal Lycium ruthenicum in context of climate change].
Lin L; Jin L; Wang ZH; Cui ZJ; Ma Y
Zhongguo Zhong Yao Za Zhi; 2017 Jul; 42(14):2659-2669. PubMed ID: 29098819
[TBL] [Abstract][Full Text] [Related]
7. [Projection of potential geographic distribution of Apocynum venetum under climate change in northern China].
Yang HF; Zheng JH; Jia XG; Li XJ
Zhongguo Zhong Yao Za Zhi; 2017 Mar; 42(6):1118-1124. PubMed ID: 29027426
[TBL] [Abstract][Full Text] [Related]
8. Prediction of the potential geographical distribution of Betula platyphylla Suk. in China under climate change scenarios.
Geng W; Li Y; Sun D; Li B; Zhang P; Chang H; Rong T; Liu Y; Shao J; Liu Z; Zhu H; Lou Y; Wang Q; Zhang J
PLoS One; 2022; 17(3):e0262540. PubMed ID: 35358194
[TBL] [Abstract][Full Text] [Related]
9. [Potential geographical distribution of
Xia X; Li Y; Yang DD; Pi YY
Ying Yong Sheng Tai Xue Bao; 2021 Dec; 32(12):4307-4314. PubMed ID: 34951272
[TBL] [Abstract][Full Text] [Related]
10. Temporal and spatial patterns of habitat of
Xia ZY; Su J; Yin HW; Kong FH
Ying Yong Sheng Tai Xue Bao; 2023 Jun; 34(6):1467-1473. PubMed ID: 37694407
[TBL] [Abstract][Full Text] [Related]
11. Maxent modeling for predicting the potential geographical distribution of two peony species under climate change.
Zhang K; Yao L; Meng J; Tao J
Sci Total Environ; 2018 Sep; 634():1326-1334. PubMed ID: 29710632
[TBL] [Abstract][Full Text] [Related]
12. Simulation of potential suitable distribution of original species of Fritillariae Cirrhosae Bulbus in China under climate change scenarios.
Liu L; Zhang Y; Huang Y; Zhang J; Mou Q; Qiu J; Wang R; Li Y; Zhang D
Environ Sci Pollut Res Int; 2022 Mar; 29(15):22237-22250. PubMed ID: 34780014
[TBL] [Abstract][Full Text] [Related]
13. MaxEnt Modeling to Predict the Current and Future Distribution of
Chen K; Wang B; Chen C; Zhou G
Plants (Basel); 2022 Feb; 11(5):. PubMed ID: 35270140
[TBL] [Abstract][Full Text] [Related]
14. [Prediction of the suitable distribution and responses to climate change of Elaeagnus mollis in Shanxi Province, China].
Zhang YB; Gao CH; Qin H
Ying Yong Sheng Tai Xue Bao; 2018 Apr; 29(4):1156-1162. PubMed ID: 29726224
[TBL] [Abstract][Full Text] [Related]
15. Predicting the potential global distribution of Sapindus mukorossi under climate change based on MaxEnt modelling.
Li Y; Shao W; Jiang J
Environ Sci Pollut Res Int; 2022 Mar; 29(15):21751-21768. PubMed ID: 34773237
[TBL] [Abstract][Full Text] [Related]
16. [Effects of climate changes on the distribution of
Yao XY; Tian N; Ma B; Zhang Y; Cun DJ; Li LH
Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi; 2021 Jun; 33(3):267-273. PubMed ID: 34286528
[TBL] [Abstract][Full Text] [Related]
17. Potential geographic distribution of relict plant Pteroceltis tatarinowii in China under climate change scenarios.
Yang J; Jiang P; Huang Y; Yang Y; Wang R; Yang Y
PLoS One; 2022; 17(4):e0266133. PubMed ID: 35395025
[TBL] [Abstract][Full Text] [Related]
18. Suitability changes of Citrus medica L. var. sarcodactylis Swingle, a medicine-food plants affected by climate warming using the optimized MaxEnt model.
Xia Y; Kazim M; Nabeel Nasir M; Yang Y; Li Q; Li T; Xu S; Wang Y; Fan X; Zhao J; Wang R
PLoS One; 2023; 18(3):e0282659. PubMed ID: 37000795
[TBL] [Abstract][Full Text] [Related]
19. [Prediction of potential distribution of Carpinus cordata in China under climate change.].
Zhao RN; He QQ; Chu XJ; Lu ZQ; Zhu ZL
Ying Yong Sheng Tai Xue Bao; 2019 Nov; 30(11):3833-3843. PubMed ID: 31833697
[TBL] [Abstract][Full Text] [Related]
20. [Prediction on spatial migration of suitable distribution of Elaeagnus mollis under climate change conditions in Shanxi Province, China].
Zhang YB; Liu YL; Qin H; Meng QX
Ying Yong Sheng Tai Xue Bao; 2019 Feb; 30(2):496-502. PubMed ID: 30915801
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
