Comparison of different models in predicting habitat suitability of rare species in Uzbekistan: 8 rare Tulipa species case-study.
Rustamov, K.
Show abstract
Species distribution models (SDMs) have become an essential tool in conservational biology, biogeography and ecology. But there is no consequence in what SDM method is the most efficient in predicting suitable habitat distribution of rare species. To explore this issue, we chose 8 rare Tulipa species in Uzbekistan as case study to test 8 common Machine Learning (GLM, GBM, MARS, CTA, SRE, FDA, RF, MaxEnt) and Deep Neural Network (DNN) SDM models, using three different methods of pseudo-absence data generation (random sampling, random sampling with exclusion buffer, random sampling with environmental profiling). To compare the effectiveness of each model 3 common metrics (Area under ROC (AUC), True skill statistics (TSS) and Cohens Kappa (K)) were used. We have found that RF and GBM combined with RSEP strategy are superior to other modeling methods.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Beyond Traditional Methods: Innovative Integration of LISS IV and Sentinel 2A Imagery for Unparalleled Insight into Himalayan Ibex Habitat Suitability 96%
- Identifying Priority Landscapes for Conservation of Snow Leopards in Pakistan 95%
- Suitability of resampled multispectral datasets for mapping flowering plants in the Kenyan savannah 94%
Similar papers in this journal
- Modelling the effects of bioclimatic characteristics and climate change on the potential distribution of a monospecific species Colophospermum mopane (Benth.) Leonard in southern Africa. 95%
- Transferability of stream benthic macroinvertebrate distribution models to drought-related conditions 92%
- Hierarchical Classification of Insects with Multitask Learning and Anomaly Detection 92%
Similar papers in this journal
- Transects, quadrats, or points? What is the best combination to get a precise estimation of a coral community? 93%
- Estimating body volumes and surface areas of animalsfrom cross-sections 93%
- Genetic analyses reveal population structure and recent decline in leopards (Panthera pardus fusca) across Indian subcontinent 92%
Similar papers in this journal
- Changes over a 10-year Period in the Distribution Ranges and Genetic Hybridization of Three Pelophylax Pond Frogs in Central Japan 95%
- Historical demography and species distribution models shed light on past speciation in primates of northeast India 93%
- The unseen invaders: tracking phylogeographic dynamics and genetic diversity of cryptic Pomacea canaliculata and P. maculata (Golden Apple Snails) across Taiwan 92%
Similar papers in this journal
- Predicting range shifts of three endangered endemic plants of the Khorassan-Kopet Dagh floristic province under global change 97%
- Developing snakebite risk model using venomous snake habitat suitability as an indicating factor: An application of species distribution models in public health research 94%
- Evidence that recent climatic changes have expanded the potential geographical range of the Mediterranean fruit fly 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.