Current and Projected Future Spatial Distribution Patterns of Prunus microcarpa in the Kurdistan Region of Iraq

<i>Prunus microcarpa</i> is an endemic species prevalent throughout the highlands of the Kurdistan Region of Iraq. Conservation, introduction, and restoration efforts require an in-depth understanding of the species' current and future habitat distributions under different climate change scenarios. This study utilized field observations, species distribution modeling, geospatial techniques, and environmental predictors to analyze the distribution and forecast potential habitats for <i>P. microcarpa</i> in the highlands of Iraq. Findings indicate that, according to the global climate models (i.e., BCC-CSM2-MR and MRI-ESM2.0), the reduction in habitat for the species is projected to be more than the potential expansion. Specifically, the area of habitat is expected to reduce by 2351.908 km<sup>2</sup> (4.6%) and 2216.957 km<sup>2</sup> (4.3%), while it could increase by 1306.384 km<sup>2</sup> (2.5%) and 1015.612 km<sup>2</sup> (2.0%) for the respective climate models. Topographic features such as elevation and slope, climatic conditions, precipitation seasonality, and annual mean temperature relatively shape the distribution of <i>P. microcarpa</i>. The modeling demonstrated good predictive capability (area under the curve (AUC) score = 0.933). The total study area is approximately 51,558.327 km<sup>2</sup>, with around 20.5% (10,602 km<sup>2</sup>) identified as suitable habitat for <i>P. microcarpa</i>. These findings offer essential baseline information for conservation strategies and provide new insights into where the species currently resides and where it could be found in the future. This underscores how combining distribution modeling with geospatial techniques can be effective, particularly in data-deficient regions like Iraq.

Authors

Institutions

Publication Details

Journal
Biology
Published
2025-03-30
DOI
https://doi.org/10.3390/biology14040358
Citations
1
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
1.84
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Current and Projected Future Spatial Distribution Patterns of Prunus microcarpa in the Kurdistan Region of Iraq

Nabaz R. Khwarahm, Renas Y. Qadir
1 citations
Biology
Species Distribution and Climate Change
1.84
article

Current and Projected Future Spatial Distribution Patterns of Prunus microcarpa in the Kurdistan Region of Iraq

Nabaz R. Khwarahm, Renas Y. Qadir
article en
1 citations

Abstract

<i>Prunus microcarpa</i> is an endemic species prevalent throughout the highlands of the Kurdistan Region of Iraq. Conservation, introduction, and restoration efforts require an in-depth understanding of the species' current and future habitat distributions under different climate change scenarios. This study utilized field observations, species distribution modeling, geospatial techniques, and environmental predictors to analyze the distribution and forecast potential habitats for <i>P. microcarpa</i> in the highlands of Iraq. Findings indicate that, according to the global climate models (i.e., BCC-CSM2-MR and MRI-ESM2.0), the reduction in habitat for the species is projected to be more than the potential expansion. Specifically, the area of habitat is expected to reduce by 2351.908 km<sup>2</sup> (4.6%) and 2216.957 km<sup>2</sup> (4.3%), while it could increase by 1306.384 km<sup>2</sup> (2.5%) and 1015.612 km<sup>2</sup> (2.0%) for the respective climate models. Topographic features such as elevation and slope, climatic conditions, precipitation seasonality, and annual mean temperature relatively shape the distribution of <i>P. microcarpa</i>. The modeling demonstrated good predictive capability (area under the curve (AUC) score = 0.933). The total study area is approximately 51,558.327 km<sup>2</sup>, with around 20.5% (10,602 km<sup>2</sup>) identified as suitable habitat for <i>P. microcarpa</i>. These findings offer essential baseline information for conservation strategies and provide new insights into where the species currently resides and where it could be found in the future. This underscores how combining distribution modeling with geospatial techniques can be effective, particularly in data-deficient regions like Iraq.

BiologyVol. 14(4)
University of Sulaimani (IQ)
Life in Land
Openalex Percentile: Top 16%
Species Distribution and Climate Change
1.84
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.