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Kolanowska M, Rewicz A, Nowak S. Can global warming be beneficial for Arctic-alpine orchid species? Outcomes from ecological niche modeling for Chamorchis alpina (L.) Rich. (Orchidaceae). THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 943:173616. [PMID: 38844225 DOI: 10.1016/j.scitotenv.2024.173616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Revised: 05/22/2024] [Accepted: 05/27/2024] [Indexed: 06/15/2024]
Abstract
The disjunct Arctic-alpine plants that persist on isolated mountain sites at the limits of their geographical range are particularly sensitive indicators of climate change effects. Here, we investigated a remarkably fragile plant, the smallest orchid in Europe, Chamorchis alpina. The ecological niche modeling (ENM) approach was employed not only to verify the shift in the range of the studied orchid but also to evaluate the future overlap between this plant population and its pollen vectors, Dasytes alpigradus, Formica lemani and Leptothorax acervorum. Our analyses showed that the bioclimatic preferences of the northern (Scandinavian) populations differed from those of the southern populations located in the Alps and Carpathians. Surprisingly, both C. alpina groups will expand their potential ranges under the SSP2-4.5 climate change scenario, and additional suitable niches will become available for the northern group under the SSP3-7.0 scenario. The Scandinavian populations will face significant habitat loss (36 %) in the SSP5-8.5 projection. The southern group will lose suitable niches under both the SSP3-7.0 and SSP5-8.5 scenarios (33 % and 58 %, respectively). For all pollinators of C. alpina, global warming will be favorable, and all three species will expand their potential ranges under all analyzed climate change scenarios. Our research suggests that a "middle of the road" scenario of climate change (SSP2-4.5), which assumes that socioeconomic factors follow historical trends, will not be harmful to the studied orchid or possibly other elements of Arctic-alpine flora, but all other scenarios that predict increases in CO2 emissions will result in a decreases in the coverage of suitable C. alpina niches, especially in the alpine region. At the same time, an overall expansion of alpine dwarf orchid pollen vectors is predicted, so even within a reduced geographical range, the orchid population will be able to reproduce sexually.
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Affiliation(s)
- Marta Kolanowska
- Faculty of Biology and Environmental Protection, Department of Geobotany and Plant Ecology, University of Lodz, ul. Banacha 12/16, 90-237 Lodz, Poland
| | - Agnieszka Rewicz
- Faculty of Biology and Environmental Protection, Department of Geobotany and Plant Ecology, University of Lodz, ul. Banacha 12/16, 90-237 Lodz, Poland
| | - Sławomir Nowak
- Faculty of Biology, Department of Plant Taxonomy and Nature Conservation, University of Gdańsk, ul. Wita Stwosza 59, 80-308 Gdańsk, Poland.
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Wang X, Peng P, Bai M, Bai W, Zhang S, Feng Y, Wang J, Tang Y. Impacts of physiological characteristics and human activities on the species distribution models of orchids taking the Hengduan Mountains as a case. Ecol Evol 2023; 13:e10566. [PMID: 37791293 PMCID: PMC10542477 DOI: 10.1002/ece3.10566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 09/06/2023] [Accepted: 09/14/2023] [Indexed: 10/05/2023] Open
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.
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Affiliation(s)
- Xue‐Man Wang
- College of Earth SciencesChengdu University of TechnologyChengduChina
| | - Pei‐Hao Peng
- College of Earth SciencesChengdu University of TechnologyChengduChina
| | - Mao‐Yang Bai
- College of Earth SciencesChengdu University of TechnologyChengduChina
| | - Wen‐Qian Bai
- College of Earth SciencesChengdu University of TechnologyChengduChina
| | - Shi‐Qi Zhang
- College of Earth SciencesChengdu University of TechnologyChengduChina
| | - Yu Feng
- College of Earth SciencesChengdu University of TechnologyChengduChina
| | - Juan Wang
- College of Tourism and Urban‐rural PlanningChengdu University of TechnologyChengduChina
| | - Ying Tang
- College of Tourism and Urban‐rural PlanningChengdu University of TechnologyChengduChina
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Large-Scale In Vitro Multiplication and Phytochemical Analysis of Himantoglossum affine (Boiss.) Schltr.: An Endangered Euro-Mediterranean Terrestrial Orchid. DIVERSITY 2022. [DOI: 10.3390/d14121137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Himantoglossum affine is a threatened terrestrial orchid. We aimed to optimize asymbiotic seed germination and direct embryogenesis and to analyze the phytochemical profile and physico-biochemical analysis of leaf and tuber. The individual use of organic nitrogen compounds resulted in higher germination efficiencies, while the shortest times to germination were observed using coconut water plus casein hydrolysate. Plantlets grown on media supplemented with pineapple juice and peptone had the highest plantlet length and weight. For embryogenesis, the highest regeneration rate (44%) and embryo number/explant (10.12 ± 2.08) were observed in young protocorm-like body (PLB) explants with 0.5 mg/L naphthalene acetic acid (NAA) and 1 mg/L thidiazuron (TDZ). During the acclimatization process, the scattered vascular tubes converted to fully developed vascular tissues, ensuring maximum sap flux. Gas chromatography–mass spectrometry analysis identified 1,2,3-propanetriol, monoacetate, 4H-pyran-4-one, 2,3-dihydro-3,5-dihydroxy-6-methyl, and 2-butenedioic acid, 2-methyl-, (E)- as the most prevalent compounds. We reported higher contents of total phenolics and flavonoids and antioxidant activity compared to other terrestrial orchids. The glucomannan content (36.96%) was also higher than starch content (31.31%), comparable to those reported in other tuberous orchids. Based on the fragmentation of H. affine populations in the Middle East and Euro-Mediterranean countries due to over-harvesting, climate change, and/or human impact, our procedure offers a tool for the re-introduction of in vitro-raised plants to threatened areas.
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Hu H, Wei Y, Wang W, Suonan J, Wang S, Chen Z, Guan J, Deng Y. Richness and distribution of endangered orchid species under different climate scenarios on the Qinghai-Tibetan Plateau. FRONTIERS IN PLANT SCIENCE 2022; 13:948189. [PMID: 36160966 PMCID: PMC9490128 DOI: 10.3389/fpls.2022.948189] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 08/09/2022] [Indexed: 06/16/2023]
Abstract
Predicting the potential influences of climate change on the richness and distribution is essential for the protection of endangered species. Most orchid species are narrowly distributed in specific habitats and are very vulnerable to habitat disturbance, especially for endangered orchid species on the Qinghai-Tibetan Plateau (QTP). In this study, we simulated the potential influences of climate change on the richness and distribution of 17 endangered orchid species on the QTP using the MaxEnt model based on the shared socioeconomic pathways scenarios (SSPs) in the 2050s and 2070s. The results showed that aspect, annual precipitation, elevation, mean temperature of driest quarter, topsoil pH (H2O), and topsoil sand fraction had a large influence on the potential distribution of endangered orchid species on the QTP. The area of potential distribution for orchid species richness ranging from 6 to 11 under the current climate scenario was 14,462 km2 (accounting for 0.56% of QTP), and it was mostly distributed in the southeastern part of QTP. The area of orchid species richness ranging from 6 to 11 under SSP370 in the 2070s was the smallest (9,370 km2: only accounting for 0.36% of QTP). The largest area of potential distribution for orchid species richness ranging from 6 to 11 was 45,394 km2 (accounting for 1.77% of QTP) under SSP585 in the 2070s. The total potential distribution area of 17 orchid species richness all increased from the 2050s to the 2070s under SSP126, SSP245, SSP370, and SSP585. The orchid species richness basically declined with the increasing elevation under current and future climate scenarios. The mean elevation of potential distribution for orchid species richness ranging from 6 to 11 under different climate scenarios was between 3,267 and 3,463 m. The mean elevation of potential distribution for orchid species richness ranging from 6 to 11 decreased from SSP126 (3,457 m) to SSP585 (3,267 m) in the 2070s. Based on these findings, future conservation plans should be concentrated on the selection of protected areas in the southeastern part of QTP to protect the endangered orchid species.
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Affiliation(s)
- Huawei Hu
- College of Geosciences, Qinghai Normal University, Xining, China
- Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China
| | - Yanqiang Wei
- Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China
| | - Wenying Wang
- College of Life Sciences, Qinghai Normal University, Xining, China
- Key Laboratory of Biodiversity Formation Mechanism and Comprehensive Utilization in Qinghai Tibet Plateau, Xining, China
| | - Ji Suonan
- College of Life Sciences, Qinghai Normal University, Xining, China
| | - Shixiong Wang
- College of Life Sciences, Qinghai Normal University, Xining, China
| | - Zhe Chen
- College of Life Sciences, Qinghai Normal University, Xining, China
| | - Jinhong Guan
- College of Life Sciences, Qinghai Normal University, Xining, China
| | - Yanfang Deng
- Qinghai Service and Guarantee Center of Qilian Mountains National Park, Xining, China
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Geographical Distribution and Relationship with Environmental Factors of Paphiopedilum Subgenus Brachypetalum Hallier (Orchidaceae) Taxa in Southwest China. DIVERSITY 2021. [DOI: 10.3390/d13120634] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
The determination of the geographic distributions of orchid species and their relationships with environmental factors are considered fundamental to their conservation. Paphiopedilum subgenus Brachypetalum is one of the most primitive, ornamental, and threatened groups of Orchidaceae. However, little is known about the distribution of Brachypetalum orchids and how they are influenced by environmental factors. In this study, we developed a database on the geographical distribution of Brachypetalum orchids based on a large-scale field investigation in the Guangxi, Guizhou, and Yunnan provinces of southwest China (2019–2020). Using this database, we first adopted the nonparametric Mann–Whitney U test to analyze the differences in the geographical distributions and growth environments of Brachypetalum orchids. In addition, we also used the method of principal component analysis (PCA) to explore distribution patterns of Brachypetalum orchids in relation to environmental factors (topography, climate, anthropogenic disturbance, productivity, and soil) in southwest China. Our results indicated that Brachypetalum orchid species were mainly distributed in the karst limestone habitats of southwest China. In general, there were 194 existing localities with the occurrence of seven target orchids in the investigated area. Of the discovered species in our study, 176 locations (~90.7%) were distributed primarily in the karst habitat. Among them, the range of 780–1267 m was the most concentrated elevation of Brachypetalum orchids. In addition, the findings also suggested that the distribution of Brachypetalum orchids in southwest China was relatively scattered in geographical space. However, the density of the distribution of Brachypetalum orchids was high, between 104° and 108° E and between 25° and 26° N. The results of the Mann–Whitney U test revealed that there are obviously different geographical distributions and growth environments of Brachypetalum in southwest China. More specifically, we found some extremely significant differences (p < 0.001) in elevation, mean diurnal range, precipitation of coldest quarter, solar radiation, and exchangeable Ca2+ between the provinces of southwest China. The PCA analysis revealed that elevation, solar radiation, temperature (mean diurnal range, annual temperature range) and precipitation (precipitation seasonality, precipitation of the warmest quarter) were found to be the most significant factors in determining Brachypetalum orchids’ distribution. These findings have implications in assessing conservation effectiveness and determining niche breadth to better protect the populations of these Brachypetalum orchid species in the future.
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Abstract
Orchidaceae is a diverse, globally important plant family with high conservation assessment and prioritization requirements. The checklist of Orchidaceae in Mongolia was updated based on herbarium materials, literature, and field observations. Mongolian orchids were revised as comprising 26 taxa belonging to 14 genera with major updates were conducted on Herminium and Epipactis. In particular, H. alaschanicum, previously noted in the Alashan Gobi region, was added to the flora of Mongolia based on literature and type specimens. Epipactis helleborine and E. palustris were excluded from the Mongolian flora owing to the absence of herbarium specimens and wild collection from Mongolia. Assessment of all orchid species at the national level resulted in 1, 4, 7, 11, and 2 species as critically endangered (CR), endangered (EN), vulnerable (VU), near threatened (NT), and data deficient (DD), respectively, according to IUCN criteria. Species richness and conservation gap analyses of 970 georeferenced orchid records based on 0.5° × 0.5° grid cells across 16 phytogeographical regions of Mongolia, showed that four phytogeographical regions, Khangai, Khuvgul, Khentii and Mongolian Dauria, have a high number of orchids. Regrettably, most orchid-rich locations in Mongolia are not fully within protected areas, highlighting the need for protection management updates. Based on herbarium collections, we prepared grid distribution maps of the 26 taxa using 40 × 40 km2 grids. Photographs of 18 taxa taken during fieldwork were included, providing valuable information on species morphology and typical habitat.
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Zizka A, Silvestro D, Vitt P, Knight TM. Automated conservation assessment of the orchid family with deep learning. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2021; 35:897-908. [PMID: 32841461 DOI: 10.1111/cobi.13616] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Revised: 08/14/2020] [Accepted: 08/17/2020] [Indexed: 05/07/2023]
Abstract
International Union for Conservation of Nature (IUCN) Red List assessments are essential for prioritizing conservation needs but are resource intensive and therefore available only for a fraction of global species richness. Automated conservation assessments based on digitally available geographic occurrence records can be a rapid alternative, but it is unclear how reliable these assessments are. We conducted automated conservation assessments for 13,910 species (47.3% of the known species in the family) of the diverse and globally distributed orchid family (Orchidaceae), for which most species (13,049) were previously unassessed by IUCN. We used a novel method based on a deep neural network (IUC-NN). We identified 4,342 orchid species (31.2% of the evaluated species) as possibly threatened with extinction (equivalent to IUCN categories critically endangered [CR], endangered [EN], or vulnerable [VU]) and Madagascar, East Africa, Southeast Asia, and several oceanic islands as priority areas for orchid conservation. Orchidaceae provided a model with which to test the sensitivity of automated assessment methods to problems with data availability, data quality, and geographic sampling bias. The IUC-NN identified possibly threatened species with an accuracy of 84.3%, with significantly lower geographic evaluation bias relative to the IUCN Red List and was robust even when data availability was low and there were geographic errors in the input data. Overall, our results demonstrate that automated assessments have an important role to play in identifying species at the greatest risk of extinction.
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Affiliation(s)
- Alexander Zizka
- German Center for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, Leipzig, 04103, Germany
- Naturalis Biodiversity Centre, P.O. Box 9517, Leiden, 2300RA, the Netherlands
| | - Daniele Silvestro
- Department of Biology, University of Fribourg, 1700 Fribourg, Ch. de Musee 10, Switzerland
- Gothenburg Global Biodiversity Center, University of Gothenburg, Box 461, Gothenburg, 405 30, Sweden
| | - Pati Vitt
- German Center for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, Leipzig, 04103, Germany
- Plant Biology and Conservation, Northwestern University, Evanston, IL, 60208, U.S.A
| | - Tiffany M Knight
- German Center for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, Leipzig, 04103, Germany
- Institute of Biology, Martin Luther University Halle-Wittenberg, Am Kirchtor 1, 06108, Halle (Saale), Germany
- Department of Community Ecology, Helmholtz Centre for Environmental Research - UFZ, Theodor-Lieser-Strasse 4, 06120, Halle (Saale), Germany
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Wittlinger L, Petrikovičová L. Phytogeographical Analysis and Ecological Factors of the Distribution of Orchidaceae Taxa in the Western Carpathians (Local study). PLANTS 2021; 10:plants10030588. [PMID: 33804668 PMCID: PMC8003648 DOI: 10.3390/plants10030588] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 03/17/2021] [Accepted: 03/18/2021] [Indexed: 11/16/2022]
Abstract
In the years 2018-2020, we carried out large-scale mapping in the Western Carpathians with a focus on determining the biodiversity of taxa of the family Orchidaceae using field biogeographical research. We evaluated the research using phytogeographic analysis with an emphasis on selected ecological environmental factors (substrate: ecological land unit value, soil reaction (pH), terrain: slope (°), flow and hydrogeological productivity (m2.s-1) and average annual amounts of global radiation (kWh.m-2). A total of 19 species were found in the area, of which the majority were Cephalenthera longifolia, Cephalenthera damasonium and Anacamptis morio. Rare findings included Epipactis muelleri, Epipactis leptochila and Limodorum abortivum. We determined the ecological demands of the abiotic environment of individual species by means of a functional analysis of communities. The research confirmed that most of the orchids that were studied occurred in acidified, calcified and basophil locations. From the location of the distribution of individual populations, it is clear that they are generally arranged compactly and occasionally scattered, which results in ecological and environmental diversity. During the research, we identified 129 localities with the occurrence of 19 species and subspecies of orchids. We identify the main factors that threaten them and propose specific measures to protect vulnerable populations.
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