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Impacts of physiological characteristics and human activities on the species distribution models of orchids taking the Hengduan Mountains as a case

The biogeography research of orchids through species distribution models (SDMs), a vital tool in the biogeography field, is critical to understanding the fundamental geographic distribution patterns and identifying conservation priorities. The correspondence between species occurrence and environmen...

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Autores principales: Wang, Xue‐Man, Peng, Pei‐Hao, Bai, Mao‐Yang, Bai, Wen‐Qian, Zhang, Shi‐Qi, Feng, Yu, Wang, Juan, Tang, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10542477/
https://www.ncbi.nlm.nih.gov/pubmed/37791293
http://dx.doi.org/10.1002/ece3.10566
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author Wang, Xue‐Man
Peng, Pei‐Hao
Bai, Mao‐Yang
Bai, Wen‐Qian
Zhang, Shi‐Qi
Feng, Yu
Wang, Juan
Tang, Ying
author_facet Wang, Xue‐Man
Peng, Pei‐Hao
Bai, Mao‐Yang
Bai, Wen‐Qian
Zhang, Shi‐Qi
Feng, Yu
Wang, Juan
Tang, Ying
author_sort Wang, Xue‐Man
collection PubMed
description The biogeography research of orchids through species distribution models (SDMs), a vital tool in the biogeography field, is critical to understanding the fundamental geographic distribution patterns and identifying conservation priorities. The correspondence between species occurrence and environmental information is crucial to the model's performance. However, ecological preferences unique to different orchid species, such as their life forms, are often overlooked during the modeling process. This oversight can introduce bias and increase model uncertainty. Additionally, human activities, as an important potential predictor, have not been quantified in any orchid SDMs. Taking the Hengduan Mountains as an example, we preprocessed all orchid species' occurrences based on physiological characteristics. Choosing five spatial factors related to human activities to quantify the interference and enter into models as HI factor. Using different modeling methods (GLM, MaxEnt, and RF) and evaluation indices (AUC, TSS, and Kappa), diverse modeling strategies have been constructed in the study. A double‐ranking method has been adopted to select the critical orchid distribution regions. The results showed that classification models based on physiological characteristics significantly improved the model's accuracy while adding the HI factor had the same effect but the absence of enough significance. Suitability maps indicated that highly heterogeneous mountainous areas were vital for the distribution of orchids in the Hengduan Mountains. Different distribution patterns and critical regions existed between various orchid life forms geographically – terrestrial orchids were dominant in the mountain, and mycoherterophical orchids were primarily located in the north, more influenced by vegetation and temperature. Critical regions of epiphytic orchids were in the south due to a greater dependence on precipitation and temperature. These studies are informative for understanding the orchids' geographic distribution patterns in the Hengduan Mountains, promoting conservation and providing references for similar research beyond orchids.
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spelling pubmed-105424772023-10-03 Impacts of physiological characteristics and human activities on the species distribution models of orchids taking the Hengduan Mountains as a case Wang, Xue‐Man Peng, Pei‐Hao Bai, Mao‐Yang Bai, Wen‐Qian Zhang, Shi‐Qi Feng, Yu Wang, Juan Tang, Ying Ecol Evol Research Articles The biogeography research of orchids through species distribution models (SDMs), a vital tool in the biogeography field, is critical to understanding the fundamental geographic distribution patterns and identifying conservation priorities. The correspondence between species occurrence and environmental information is crucial to the model's performance. However, ecological preferences unique to different orchid species, such as their life forms, are often overlooked during the modeling process. This oversight can introduce bias and increase model uncertainty. Additionally, human activities, as an important potential predictor, have not been quantified in any orchid SDMs. Taking the Hengduan Mountains as an example, we preprocessed all orchid species' occurrences based on physiological characteristics. Choosing five spatial factors related to human activities to quantify the interference and enter into models as HI factor. Using different modeling methods (GLM, MaxEnt, and RF) and evaluation indices (AUC, TSS, and Kappa), diverse modeling strategies have been constructed in the study. A double‐ranking method has been adopted to select the critical orchid distribution regions. The results showed that classification models based on physiological characteristics significantly improved the model's accuracy while adding the HI factor had the same effect but the absence of enough significance. Suitability maps indicated that highly heterogeneous mountainous areas were vital for the distribution of orchids in the Hengduan Mountains. Different distribution patterns and critical regions existed between various orchid life forms geographically – terrestrial orchids were dominant in the mountain, and mycoherterophical orchids were primarily located in the north, more influenced by vegetation and temperature. Critical regions of epiphytic orchids were in the south due to a greater dependence on precipitation and temperature. These studies are informative for understanding the orchids' geographic distribution patterns in the Hengduan Mountains, promoting conservation and providing references for similar research beyond orchids. John Wiley and Sons Inc. 2023-10-01 /pmc/articles/PMC10542477/ /pubmed/37791293 http://dx.doi.org/10.1002/ece3.10566 Text en © 2023 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Wang, Xue‐Man
Peng, Pei‐Hao
Bai, Mao‐Yang
Bai, Wen‐Qian
Zhang, Shi‐Qi
Feng, Yu
Wang, Juan
Tang, Ying
Impacts of physiological characteristics and human activities on the species distribution models of orchids taking the Hengduan Mountains as a case
title Impacts of physiological characteristics and human activities on the species distribution models of orchids taking the Hengduan Mountains as a case
title_full Impacts of physiological characteristics and human activities on the species distribution models of orchids taking the Hengduan Mountains as a case
title_fullStr Impacts of physiological characteristics and human activities on the species distribution models of orchids taking the Hengduan Mountains as a case
title_full_unstemmed Impacts of physiological characteristics and human activities on the species distribution models of orchids taking the Hengduan Mountains as a case
title_short Impacts of physiological characteristics and human activities on the species distribution models of orchids taking the Hengduan Mountains as a case
title_sort impacts of physiological characteristics and human activities on the species distribution models of orchids taking the hengduan mountains as a case
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10542477/
https://www.ncbi.nlm.nih.gov/pubmed/37791293
http://dx.doi.org/10.1002/ece3.10566
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