| scholarly article | Q13442814 |
| P2093 | author name string | Jie Wu | |
| Yang He | |||
| Gang Fan | |||
| Wenguo Wang | |||
| Junjun Li | |||
| Haiqing Yu | |||
| Kezhong Peng | |||
| P2860 | cites work | Mapping current and potential distribution of non-native Prosopis juliflora in the Afar region of Ethiopia | Q28652246 |
| Predicting the impacts of climate change on the potential distribution of major native non-food bioenergy plants in China | Q28652776 | ||
| Model-based conservation planning of the genetic diversity of Phellodendron amurense Rupr due to climate change | Q30390987 | ||
| Ecological niche modeling of coastal dune plants and future potential distribution in response to climate change and sea level rise. | Q30620389 | ||
| Modeling the evolution of riparian woodlands facing climate change in three European rivers with contrasting flow regimes | Q30862857 | ||
| Modeling impacts of climate change on the potential distribution of the carcinogenic liver fluke, Opisthorchis viverrini, in Thailand. | Q31138628 | ||
| Regionalization of Chinese Material Medical Quality Based on Maximum Entropy Model: A case study of Atractylodes lancea | Q37644323 | ||
| Modeling and mapping the current and future distribution of Pseudomonas syringae pv. actinidiae under climate change in China | Q47699317 | ||
| Distributional dynamics of a vulnerable species in response to past and future climate change: a window for conservation prospects | Q47715828 | ||
| An optimized HPLC-UV method for quantitatively determining sesquiterpenes in Nardostachyos Radix et Rhizoma | Q47963815 | ||
| Predicting the distribution of Stipa purpurea across the Tibetan Plateau via the MaxEnt model | Q50317709 | ||
| A statistical explanation of MaxEnt for ecologists | Q57062660 | ||
| Maxent modeling for predicting the potential geographical distribution of two peony species under climate change | Q57070979 | ||
| Riparian vegetation responses to altered flow regimes driven by climate change in Mediterranean rivers | Q60582952 | ||
| Maxent modeling for predicting the potential distribution of endangered medicinal plant (H. riparia Lour) in Yunnan, China | Q112598368 | ||
| Modeling impacts of climate change on the geographic distribution of medicinal plant Fritillaria cirrhosa D. Don | Q112604201 | ||
| Maximum entropy modeling of species geographic distributions | Q112826245 | ||
| P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | climate change | Q125928 |
| medicinal plant | Q188840 | ||
| Nardostachys | Q3009660 | ||
| Nardostachys chinensis | Q15232247 | ||
| Nardostachys jatamansi | Q24853263 | ||
| P304 | page(s) | e6730 | |
| P577 | publication date | 2019-01-01 | |
| P1433 | published in | PeerJ | Q2000010 |
| P1476 | title | Simulating the effects of climate change across the geographical distribution of two medicinal plants in the genus | |
| P478 | volume | 7 |
| Q112594030 | Modeling the potential distribution of Valeriana carnosa Sm. in Argentinean Patagonia: A proposal for conservation and in situ cultivation considering climate change projections |
| Q101320544 | Pitfalls and promises of raw drug identification techniques in the ayurvedic industry: an overview |
| Q90036906 | Predicting the current and future distribution of three Coptis herbs in China under climate change conditions, using the MaxEnt model and chemical analysis |
| Q112725319 | The efficacy of machine learning algorithm for raw drug authentication in Coscinium fenestratum (Gaertn.) Colebr. employing a DNA barcode database |
Search more.