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2018 | 27 | 3 |

Tytuł artykułu

MaxEnt modeling for predicting impacts of environmental factors on the potential distribution of Artemisia aucheri and Bromus tomentellus-Festuca ovina in Iran

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN
The main goal of this study was to estimate the geographic distribution of Artemisia aucheri and Bromus tomentellus-Festuca ovina habitat using the maximum entropy modeling technique (MaxEnt) in the Chaharbagh rangeland of Golestan Province in Iran. Vegetation sampling was done using the random- systematic method. A total of 120 plots were placed in the study area. Soil samples were taken 0-30 cm (sampling of the soil due to the mountainous terrain and deep rooted plants, depths were determined at the 0-30 cm layer). Measured soil properties included texture, organic carbon, lime, pH, EC, and N. Topographical data (obtained from a DEM map) was elevation, slope, and aspect. To prepare the data for being enterer into MaxEnt software, first the map of soil factors was obtained through the kriging method in GIS software. Then, for analysis, the elevation, and slope, geographic directions, and soil factors maps and the presence points of plant species were entered. Using the jackknife method and response curve we found the most important environmental predictor variables. Results showed that N, sand, and clay had the greatest impacts on the distribution of A. aucheri and N, sand, silt, clay, and lime in soil had the greatest impacts on the distribution of B. tomentellus-F. ovina in the study area. Correspondence of actual map with the predictive one was assessed at a satisfactory level (Kappa coefficient = 0.05 for A. aucheri but Kappa coefficient = 0.51 for B. tomentellus-F. ovina). So MaxEnt method is the more successful in predicting B. tomentellus-F. ovina habitat than A. aucheri habitat, because the distribution of A. aucheri habitat was vast and outspread in the study area.

Słowa kluczowe

Wydawca

-

Rocznik

Tom

27

Numer

3

Opis fizyczny

p.1041-1047,fig.,ref.

Twórcy

autor
  • Department of Range and Watershed Management, University of Mohaghegh Ardabili, Ardabil, Iran
autor
  • Department of Range and Watershed Management, University of Mohaghegh Ardabili, Ardabil, Iran
  • Department of Rehabilitation of Arid and Mountainous Regions, University of Tehran, Iran

Bibliografia

  • 1. Zare Chahouki M.A. Multivariate Analysis Techniques in Environmental Science. Erath and Environment Science, 68, 1, 2011.
  • 2. Zare Chahouki M.A., Esfanjani J. Predicting potential distribution of plant species by modeling techniques in southern rangelands of Golestan, Iran. Journal of Range Management and Agroforestry, 66, 36, 2015.
  • 3. Zare Chahouki M.A., Piri Sahragard H. MaxEnt Modelling for Distribution of Plant Species Habitats of Rangelands (Iran). Polish Journal of Ecology, 453, 64, 2016.
  • 4. Sohel SI., Akhter S., Ullah H., Haque E., Ran P. Predicting impacts of climate change on forest tree species of Bangladesh: evidence from threatened Dysoxylum binectariferum (Roxb.) Hook.f. ex Bedd. (Meliaceae). Journal of iforest, 154, 10, 2016.
  • 5. Phillips S.J., Anderson R.P., Schapire R.E. Maximum entropy modeling of species geographic distributions. Ecology Modelling, 231, 190, 2006.
  • 6. Xue-Qing Yanga L., Kushwahab S.P.S., Saranb S., Jianchu Xuc P.S. MaxEnt modeling for predicting the potential distribution of medicinal plant, Justicia adhatoda L. in Lesser Himalayan foothills- Ecology Engi, 83, 51, 2013.
  • 7. Piri Sahragard H., Zare Chahouki M.A. Modeling of Artemisia sieberi Besser Habitat Distribution Using Maximum Entropy Method in Desert Rangelands. Journal of Rangeland Science, 93, 6, 2016.
  • 8. Bagheri H., Ghorbani A., Zare Chahouki M A., Jafari A.A., Sefidy K. Halophyte Species Distribution Modeling With MaxEnt Model In The Surrounding Rangelands Of Meghan Playa in Iran. Applied Ecology and Enviromental Research, 1473, 15, 2017.
  • 9. Black C.A. Methods of soil analysis. American Society of Agronomy. 771 (2), 1979.
  • 10. Jackson M.L. Soil Chemical Analysis- Prentice-Hall of India, New Delhi, 1967.
  • 11. Hajian-Tilaki K. Receiver Operating Characteristic (ROC) Curve Analysis for Medical Diagnostic Test Evaluation. Caspian Journal Internal Medicine, 627, 4, 2013.
  • 12. Monserud R.A., Leemans R. Comparing global vegetation maps with the kappa statistic. Journal of Ecology Modelling, 275, 62, 1992.
  • 13. Dormann C. Modelling species’ distributions. In: Jopp, F., Reuter, H. & Breckling, B. (eds), Modelling complex ecological dynamics: an introduction into ecological modelling. Springer, Berlin, 179, 2011.
  • 14. Bini L.M., Diniz-Filho A.F., Rangel T.F.L.V.B., Akre T.S.B., Albaladejo R.G., Albuquerque F.S., Aparicio A., Araújo M.B., Baselga A., Beck J., Bellocq , M.I., Böhning-Gaese K., Borges , P.A.V., Castro-Parga I., Chey V.K., Chown S.L., de Marco P.J., Dobkin D.S., Ferrer-Castán D., Field , R., Filloy J., Fleishman E., Gómez J.F., Hortal J., Iverson J.B., Kerr J.T., Kissling W.D., Kitching I.J., León-Cortés J.L., Lobo J.M., Montoya D., Morales-Castilla I., Moreno J.C., Oberdorff T., Olalla-Tárraga M.Á., Pausas J.G., Qian , H., Rahbek C., Rodríguez M.Á., Rueda M., Ruggiero A., Sackmann , P., Sanders N.J., Terribile , L.C., Vetaas O.R., Hawkins B.A. Coefficient shifts in geographical ecology: an empirical evaluation of spatial and non-spatial regression. Journal of Ecological, 193, 32, 2009.
  • 15. Carroll C., Johnson D.S., Dunk J.R., Zielinski W.J. Hierarchical Bayesian spatial models for multispecies conservation planning and monitoring. Journal of Conservation Biology. 1538, 24, 2010.
  • 16. Tingley R., Herman T.B. Land cover data improve bioclimatic models for anurans and turtles at a regional scale- Bio journal, 1656, 36, 2009.
  • 17. Classen A., Sundqvist M., Henning J A., Newman G., Moore J., Cregger M., Moorhe L., Patterson C. Direct and indirect effects of climate change on soil microbial and soil microbial-plant interactions: What lies ahead?. Journal of Ecospher, 135, 8, 2015.
  • 18. Zare Chahouki M.A., Khalasi Ahvazi L., Azarnivand H. Environmental factors affecting distribution of vegetation communities in Iranian Rangelands. Vegetos Journal, 1, 23, 2010.
  • 19. Rangel T.F.L.V.B., Diniz-Filho J.A.F., Bini L.M. Towards an integrated computational tool for spatial analysis in macro ecology and biogeography. Global Ecology and Biog, 321, 15, 2006.

Typ dokumentu

Bibliografia

Identyfikatory

Identyfikator YADDA

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