Assessing spatial distribution of Coffea arabica L. in Ethiopia's highlands using species distribution models and geospatial analysis methods

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Originalspråkengelska
TidskriftEcological Informatics
Volym42
Sidor (från-till)79-89
Antal sidor11
ISSN1574-9541
DOI
StatusPublicerad - nov 2017
MoE-publikationstypA1 Tidskriftsartikel-refererad

Vetenskapsgrenar

  • 1172 Miljövetenskap
  • 114 Fysik
  • 4112 Skogsvetenskap

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@article{7ca8ae2263244dc8a688b943ad0ce65c,
title = "Assessing spatial distribution of Coffea arabica L. in Ethiopia's highlands using species distribution models and geospatial analysis methods",
keywords = "ARTIFICIAL NEURAL-NETWORKS, CLIMATE-CHANGE, LANDSLIDE-SUSCEPTIBILITY, PREDICTION, AREAS, IMPACTS, FORESTS, 1172 Environmental sciences, 114 Physical sciences, 4112 Forestry",
author = "Hailu, {Binyam Tesfaw} and Mika Siljander and Maeda, {Eduardo E.} and Petri Pellikka",
year = "2017",
month = "11",
doi = "10.1016/j.ecoinf.2017.10.001",
language = "English",
volume = "42",
pages = "79--89",
journal = "Ecological Informatics",
issn = "1574-9541",
publisher = "Elsevier Scientific Publ. Co",

}

TY - JOUR

T1 - Assessing spatial distribution of Coffea arabica L. in Ethiopia's highlands using species distribution models and geospatial analysis methods

AU - Hailu, Binyam Tesfaw

AU - Siljander, Mika

AU - Maeda, Eduardo E.

AU - Pellikka, Petri

PY - 2017/11

Y1 - 2017/11

KW - ARTIFICIAL NEURAL-NETWORKS

KW - CLIMATE-CHANGE

KW - LANDSLIDE-SUSCEPTIBILITY

KW - PREDICTION

KW - AREAS

KW - IMPACTS

KW - FORESTS

KW - 1172 Environmental sciences

KW - 114 Physical sciences

KW - 4112 Forestry

U2 - 10.1016/j.ecoinf.2017.10.001

DO - 10.1016/j.ecoinf.2017.10.001

M3 - Article

VL - 42

SP - 79

EP - 89

JO - Ecological Informatics

JF - Ecological Informatics

SN - 1574-9541

ER -