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<p>Species Distribution Models (SDMs) are used to determine the geographical range of a plant species based on field observations and a set of environmental variables. <i>Taxus baccata</i> L. is a prominent tree species of the famous Hyrcanian forests in Northern Iran. Identifying areas with the potential presence of this species in these unique forests is vital for its conservation. The objective of this study is to identify the potential habitats of <i>Taxus baccata</i> L. in the Golestan, Mazandaran, and Gilan provinces, based on 1614 individual records of the species. We used the MaxEnt model to compare the effect of different combinations of variables at a spatial resolution of 1 km. Among several models tested, our M5 model, with an "area under the receiver operating characteristic curve" (AUC) of 0.966, offered the best combination of variables for estimating the potential geographical distribution of <i>Taxus baccata</i> L. The model was used to test the effect of two spatial resolutions (250 m and 1 km). To prevent the influence of models with variable values, we used the nearest neighbor (NGB) method to resample the bioclimatic and topographic variables at a resolution of 250 m and soil variables at a resolution of 1 km. Based on the evaluation results, we selected the M5 group with a resolution of 1 km to estimate the potential distribution of <i>Taxus baccata</i> L<i>.</i> Our findings not only enhance our understanding of the effect of these abiotic factors on the distribution of <i>Taxus baccata</i> L., but also raise significant concerns about the potential extinction of this species.</p>

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Spatial resolution matters: unveiling the role of environmental predictors in English yew (Taxus bacata L.) distribution using MaxEnt modeling

  • 期刊论文

  • 发表日期：

    2025年1月29日

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  • Habibi Kilak Shadi,
  • Seyed Jalil Alavi,
  • Omid Esmailzadeh

摘要

Species Distribution Models (SDMs) are used to determine the geographical range of a plant species based on field observations and a set of environmental variables. Taxus baccata L. is a prominent tree species of the famous Hyrcanian forests in Northern Iran. Identifying areas with the potential presence of this species in these unique forests is vital for its conservation. The objective of this study is to identify the potential habitats of Taxus baccata L. in the Golestan, Mazandaran, and Gilan provinces, based on 1614 individual records of the species. We used the MaxEnt model to compare the effect of different combinations of variables at a spatial resolution of 1 km. Among several models tested, our M5 model, with an "area under the receiver operating characteristic curve" (AUC) of 0.966, offered the best combination of variables for estimating the potential geographical distribution of Taxus baccata L. The model was used to test the effect of two spatial resolutions (250 m and 1 km). To prevent the influence of models with variable values, we used the nearest neighbor (NGB) method to resample the bioclimatic and topographic variables at a resolution of 250 m and soil variables at a resolution of 1 km. Based on the evaluation results, we selected the M5 group with a resolution of 1 km to estimate the potential distribution of Taxus baccata L. Our findings not only enhance our understanding of the effect of these abiotic factors on the distribution of Taxus baccata L., but also raise significant concerns about the potential extinction of this species.