Maxent Modelling for Distribution of Plant Species Habitats of Rangelands (Iran)
| Autor: | Hossein Piri Sahragard, Mohammad Ali Zare Chahouki |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0106 biological sciences
010504 meteorology & atmospheric sciences Ecology Range (biology) business.industry Distribution (economics) Geostatistics 010603 evolutionary biology 01 natural sciences Habitat Habitat distribution Plant species Environmental science Rangeland Artemisia aucheri business Ecology Evolution Behavior and Systematics 0105 earth and related environmental sciences |
| Zdroj: | Polish Journal of Ecology. 64:453-467 |
| ISSN: | 2450-1395 1505-2249 |
| DOI: | 10.3161/15052249pje2016.64.4.002 |
| Popis: | Quantifying the pattern of habitat distribution for range plant species can assist sustainable planning of rangeland use and management. However, data of plant species distribution are often scarce and modeling of habitat distribution using commonly used models is difficult. In this study, the Maximum Entropy Method (MaxEnt) was used to model the distribution of plant habitat to find the effective variables in plant species occurrence in the Poshtkouh rangelands on Yazd province, central Iran. Maps of the environmental variables were generated using GIS and Geostatistics facilities. Accuracy of model output was assessed using area under the curve (AUC) of the receiver operating characteristic and keeping 30 percent of the data. Evaluation of model accuracy by AUC indicated good and acceptable predictive accuracy for all plant species habitats, except Artemisia sieberi which had high frequency. The predictive maps of Artemisia aucheri, Scariola orientalis — Astragalus albispinus, A. sieberi2 and A... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|