Работы, цитирующие эту работу

Работ: 5

Работа: Novel methods improve prediction of species’ distributions from occurrence data

1. Suitable habitat prediction with a huge set of variables on some Central Asian tulips

   Davron Dekhkonov, Temur Asatulloev, Tojiboeva Umida +2

   СтатьяSpecies Distribution and Climate ChangeJournal of Asia-Pacific Biodiversity2022Цитирований: 6

   ABIABI:AkademIndex/openalex/2026.other.233286

2. The Silk roads: phylogeography of Central Asian dice snakes (Serpentes: Natricidae) shaped by rivers in deserts and mountain valleys

   Daniel Jablonski, Konrad Mebert, Rafaqat Masroor +4

   СтатьяAmphibian and Reptile BiologyCurrent Zoology2023Цитирований: 1

   ABIABI:AkademIndex/openalex/2023.article.000562

3. Prediction of potential suitable habitats of Malania oleifera under future climate scenarios based on the MaxEnt model

   Ye Zhang, Mimi Li, Xiaoning Zhang +3

   СтатьяSpecies Distribution and Climate ChangeScientific Reports2025Цитирований: 1

   ABIABI:AkademIndex/openalex/2025.article.000941

4. Diversity Under Threat: Connecting Genetic Diversity and Threat Mapping to Set Conservation Priorities for Juglans regia L. Populations in Central Asia

   Hannes Gaisberger, Sylvain Legay, Christelle M. André +7

   СтатьяPlant and Fungal Interactions ResearchFrontiers in Ecology and Evolution2020Цитирований: 1

   ABIABI:AkademIndex/openalex/2026.other.066797

5. Beauty demands sacrifices: is it possible to overcome both climate change and anthropogenic impact for Pamir-Alay Tulips (Liliaceae)?

   Davron Dekhkonov, Temur Asatulloev, Umida Tojiboeva +6

   СтатьяSpecies Distribution and Climate ChangeJournal of Asia-Pacific Biodiversity2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.article.003574