Impacts of physiological characteristics and human activities on the species distribution models of orchids taking the Hengduan Mountains as a case
Abstract 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 e...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-10-01
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| Series: | Ecology and Evolution |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/ece3.10566 |
| _version_ | 1797648404330840064 |
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| author | Xue‐Man Wang Pei‐Hao Peng Mao‐Yang Bai Wen‐Qian Bai Shi‐Qi Zhang Yu Feng Juan Wang Ying Tang |
| author_facet | Xue‐Man Wang Pei‐Hao Peng Mao‐Yang Bai Wen‐Qian Bai Shi‐Qi Zhang Yu Feng Juan Wang Ying Tang |
| author_sort | Xue‐Man Wang |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-03-11T15:30:40Z |
| format | Article |
| id | doaj.art-fb093512d13e496abc1f2e8c193a4d0d |
| institution | Directory Open Access Journal |
| issn | 2045-7758 |
| language | English |
| last_indexed | 2024-03-11T15:30:40Z |
| publishDate | 2023-10-01 |
| publisher | Wiley |
| record_format | Article |
| series | Ecology and Evolution |
| spelling | doaj.art-fb093512d13e496abc1f2e8c193a4d0d2023-10-27T04:40:51ZengWileyEcology and Evolution2045-77582023-10-011310n/an/a10.1002/ece3.10566Impacts of physiological characteristics and human activities on the species distribution models of orchids taking the Hengduan Mountains as a caseXue‐Man Wang0Pei‐Hao Peng1Mao‐Yang Bai2Wen‐Qian Bai3Shi‐Qi Zhang4Yu Feng5Juan Wang6Ying Tang7College of Earth Sciences Chengdu University of Technology Chengdu ChinaCollege of Earth Sciences Chengdu University of Technology Chengdu ChinaCollege of Earth Sciences Chengdu University of Technology Chengdu ChinaCollege of Earth Sciences Chengdu University of Technology Chengdu ChinaCollege of Earth Sciences Chengdu University of Technology Chengdu ChinaCollege of Earth Sciences Chengdu University of Technology Chengdu ChinaCollege of Tourism and Urban‐rural Planning Chengdu University of Technology Chengdu ChinaCollege of Tourism and Urban‐rural Planning Chengdu University of Technology Chengdu ChinaAbstract 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.https://doi.org/10.1002/ece3.10566biogeographyconservationhuman activitiesorchidsphysiological characteristicsspecies distribution models (SDMs) |
| spellingShingle | Xue‐Man Wang Pei‐Hao Peng Mao‐Yang Bai Wen‐Qian Bai Shi‐Qi Zhang Yu Feng Juan Wang Ying Tang Impacts of physiological characteristics and human activities on the species distribution models of orchids taking the Hengduan Mountains as a case Ecology and Evolution biogeography conservation human activities orchids physiological characteristics species distribution models (SDMs) |
| 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 | biogeography conservation human activities orchids physiological characteristics species distribution models (SDMs) |
| url | https://doi.org/10.1002/ece3.10566 |
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