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Zhao WY, Liu ZC, Shi S, Li JL, Xu KW, Huang KY, Chen ZH, Wang YR, Huang CY, Wang Y, Chen JR, Sun XL, Liang WX, Guo W, Wang LY, Meng KK, Li XJ, Yin QY, Zhou RC, Wang ZD, Wu H, Cui DF, Su ZY, Xin GR, Liu WQ, Shu WS, Jin JH, Boufford DE, Fan Q, Wang L, Chen SF, Liao WB. Landform and lithospheric development contribute to the assembly of mountain floras in China. Nat Commun 2024; 15:5139. [PMID: 38886388 PMCID: PMC11183111 DOI: 10.1038/s41467-024-49522-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Accepted: 06/07/2024] [Indexed: 06/20/2024] Open
Abstract
Although it is well documented that mountains tend to exhibit high biodiversity, how geological processes affect the assemblage of montane floras is a matter of ongoing research. Here, we explore landform-specific differences among montane floras based on a dataset comprising 17,576 angiosperm species representing 140 Chinese mountain floras, which we define as the collection of all angiosperm species growing on a specific mountain. Our results show that igneous bedrock (granitic and karst-granitic landforms) is correlated with higher species richness and phylogenetic overdispersion, while the opposite is true for sedimentary bedrock (karst, Danxia, and desert landforms), which is correlated with phylogenetic clustering. Furthermore, we show that landform type was the primary determinant of the assembly of evolutionarily older species within floras, while climate was a greater determinant for younger species. Our study indicates that landform type not only affects montane species richness, but also contributes to the composition of montane floras. To explain the assembly and differentiation of mountain floras, we propose the 'floristic geo-lithology hypothesis', which highlights the role of bedrock and landform processes in montane floristic assembly and provides insights for future research on speciation, migration, and biodiversity in montane regions.
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Affiliation(s)
- Wan-Yi Zhao
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Stress Biology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Zhong-Cheng Liu
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Stress Biology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
- College of Resource Environment and Tourism, Capital Normal University, Beijing, China
| | - Shi Shi
- Guangdong Key Laboratory for Innovative Development and Utilization of Forest Plant Germplasm, South China Agricultural University, Guangzhou, China
| | - Jie-Lan Li
- Shenzhen Dapeng Peninsula National Geopark, Shenzhen, China
| | - Ke-Wang Xu
- Co-Innovation Center for Sustainable Forestry in Southern China, College of Biology and the Environment, Nanjing Forestry University, Nanjing, China
| | - Kang-You Huang
- School of Earth Science and Engineering, Sun Yat-sen University, Zhuhai, China
| | - Zhi-Hui Chen
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Stress Biology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Ya-Rong Wang
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Stress Biology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Cui-Ying Huang
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Stress Biology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Yan Wang
- School of Ecology, Sun Yat-sen University, Shenzhen, China
| | - Jing-Rui Chen
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Stress Biology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Xian-Ling Sun
- Shenzhen Dapeng Peninsula National Geopark, Shenzhen, China
| | - Wen-Xing Liang
- School of Agriculture, Sun Yat-sen University, Shenzhen, China
| | - Wei Guo
- College of Horticulture and Landscape Architecture, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Long-Yuan Wang
- College of Horticulture and Landscape Architecture, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Kai-Kai Meng
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Stress Biology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Xu-Jie Li
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Stress Biology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Qian-Yi Yin
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Stress Biology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Ren-Chao Zhou
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Stress Biology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Zhao-Dong Wang
- Shenzhen Dapeng Peninsula National Geopark, Shenzhen, China
| | - Hao Wu
- Shenzhen Dapeng Peninsula National Geopark, Shenzhen, China
| | - Da-Fang Cui
- Guangdong Key Laboratory for Innovative Development and Utilization of Forest Plant Germplasm, South China Agricultural University, Guangzhou, China
| | - Zhi-Yao Su
- Guangdong Key Laboratory for Innovative Development and Utilization of Forest Plant Germplasm, South China Agricultural University, Guangzhou, China
| | - Guo-Rong Xin
- School of Agriculture, Sun Yat-sen University, Shenzhen, China
| | - Wei-Qiu Liu
- School of Ecology, Sun Yat-sen University, Shenzhen, China
| | - Wen-Sheng Shu
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Stress Biology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Jian-Hua Jin
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Stress Biology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | | | - Qiang Fan
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Stress Biology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China.
| | - Lei Wang
- College of Resource Environment and Tourism, Capital Normal University, Beijing, China.
| | - Su-Fang Chen
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Stress Biology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China.
| | - Wen-Bo Liao
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Stress Biology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China.
- School of Ecology, Sun Yat-sen University, Shenzhen, China.
- School of Agriculture, Sun Yat-sen University, Shenzhen, China.
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2
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Tukiainen H, Maliniemi T, Brilha J, Alahuhta J, Hjort J. A framework for quantifying geodiversity at the local scale: a case study from the Rokua UNESCO Global Geopark. PHILOSOPHICAL TRANSACTIONS. SERIES A, MATHEMATICAL, PHYSICAL, AND ENGINEERING SCIENCES 2024; 382:20230059. [PMID: 38342220 PMCID: PMC10859236 DOI: 10.1098/rsta.2023.0059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 09/20/2023] [Indexed: 02/13/2024]
Abstract
Geoconservation and related quantitative and qualitative geodiversity assessments are gaining increasing attention. However, methodologies for measuring geodiversity at local scale are currently rare. Here, we present a framework for assessing local-scale geodiversity of different landforms using field-based and digital elevation model (DEM-) derived data from the Rokua UNESCO Global Geopark in Finland. We observed the presence or absence of various geodiversity elements, such as geological or topographical elements in our study sites, and used these data to quantify alpha (α), gamma (γ) and beta (β) geodiversity of various landforms. In addition, we measured topographical heterogeneity in the field and from DEMs. The results showed distinct patterns in the geodiversity and topographical variation of the landforms. The differences between α, γ and β geodiversity of different landforms were particularly clear. According to the results, measures of topographical variability can be used to some extent as surrogates for geodiversity, but the choice of optimal variables is context and scale dependent. These results provide perspectives for further local-scale geodiversity assessments in different study areas and are applicable for a range of purposes, from scientific research to practical management and geoconservation. This article is part of the Theo Murphy meeting issue 'Geodiversity for science and society'.
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Affiliation(s)
- Helena Tukiainen
- Geography Research Unit, University of Oulu, P.O. Box 3000, FI-90014 University of Oulu, Finland
| | - Tuija Maliniemi
- Geography Research Unit, University of Oulu, P.O. Box 3000, FI-90014 University of Oulu, Finland
| | - José Brilha
- Institute of Earth Sciences, Pole of the University of Minho, Campus de Gualtar, Braga, Portugal
| | - Janne Alahuhta
- Geography Research Unit, University of Oulu, P.O. Box 3000, FI-90014 University of Oulu, Finland
| | - Jan Hjort
- Geography Research Unit, University of Oulu, P.O. Box 3000, FI-90014 University of Oulu, Finland
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3
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Gerstner BE, Blair ME, Bills P, Cruz-Rodriguez CA, Zarnetske PL. The influence of scale-dependent geodiversity on species distribution models in a biodiversity hotspot. PHILOSOPHICAL TRANSACTIONS. SERIES A, MATHEMATICAL, PHYSICAL, AND ENGINEERING SCIENCES 2024; 382:20230057. [PMID: 38342213 PMCID: PMC10859231 DOI: 10.1098/rsta.2023.0057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 11/08/2023] [Indexed: 02/13/2024]
Abstract
Improving models of species' distributions is essential for conservation, especially in light of global change. Species distribution models (SDMs) often rely on mean environmental conditions, yet species distributions are also a function of environmental heterogeneity and filtering acting at multiple spatial scales. Geodiversity, which we define as the variation of abiotic features and processes of Earth's entire geosphere (inclusive of climate), has potential to improve SDMs and conservation assessments, as they capture multiple abiotic dimensions of species niches, however they have not been sufficiently tested in SDMs. We tested a range of geodiversity variables computed at varying scales using climate and elevation data. We compared predictive performance of MaxEnt SDMs generated using CHELSA bioclimatic variables to those also including geodiversity variables for 31 mammalian species in Colombia. Results show the spatial grain of geodiversity variables affects SDM performance. Some variables consistently exhibited an increasing or decreasing trend in variable importance with spatial grain, showing slight scale-dependence and indicating that some geodiversity variables are more relevant at particular scales for some species. Incorporating geodiversity variables into SDMs, and doing so at the appropriate spatial scales, enhances the ability to model species-environment relationships, thereby contributing to the conservation and management of biodiversity. This article is part of the Theo Murphy meeting issue 'Geodiversity for science and society'.
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Affiliation(s)
- Beth E. Gerstner
- Department of Fisheries and Wildlife,
- Ecology, Evolution and Behavior Program,
| | - Mary E. Blair
- Center for Biodiversity and Conservation, American Museum of Natural History, New York, NY, USA
| | - Patrick Bills
- Institute for Cyber-Enabled Research (ICER),
- Institute for Biodiversity, Ecology, Evolution, and Macrosystems (IBEEM), and
| | - Cristian A. Cruz-Rodriguez
- Instituto de Investigación de Recursos Biológicos Alexander von Humboldt, Av. Paseo de Bolívar No. 16-20, Bogotá, DC, Colombia
- Département de Sciences Biologiques, Université de Montréal. Montréal (QC), Canada
| | - Phoebe L. Zarnetske
- Ecology, Evolution and Behavior Program,
- Department of Integrative Biology, Michigan State University, East Lansing, MI, USA
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4
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Miller SN, Beier P, Suzart de Albuquerque F. A test of Conserving Nature's Stage: protecting a diversity of geophysical traits can also support a diversity of species at a landscape scale. PHILOSOPHICAL TRANSACTIONS. SERIES A, MATHEMATICAL, PHYSICAL, AND ENGINEERING SCIENCES 2024; 382:20230063. [PMID: 38342207 DOI: 10.1098/rsta.2023.0063] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Accepted: 11/28/2023] [Indexed: 02/13/2024]
Abstract
Conserving Nature's Stage (CNS) is a concept from conservation planning that promotes the protection of areas encompassing a broad range of enduring geophysical traits to provide long-term habitat for diverse species. The efficacy of using enduring geophysical characteristics as surrogates for biodiversity, independent of non-geophysical features and when considering finer resolution area selections, has yet to be investigated. Here, we evaluated CNS using 33 fine-scale inventories of vascular plant, non-vascular plant, invertebrate or vertebrate species from 13 areas across three continents. For each inventory, we estimated a continuous multidimensional surrogate defined from topographic and soil estimates of the surveyed plots. We assessed surrogate effectiveness by comparing the species representation of surrogate selected plots to the representation from plots picked randomly and using species information. We then used correlation coefficients to assess the link between the performance and qualities of the inventories, surroundings and surrogates. The CNS surrogate showed positive performance for 24 of the 33 inventories, and among these tests, represented 28 more species than random and 83% of the total number of species on average. We also found a small number of weak correlations between performance and environmental variability, as well as qualities of the surrogate. Our study demonstrates that prioritizing areas for a variety of geophysical characteristics will, in most cases, promote the representation of species. Our findings also point to areas for future research that might enhance CNS surrogacy. This article is part of the Theo Murphy meeting issue 'Geodiversity for science and society'.
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Affiliation(s)
- Stephanie N Miller
- School of Biology and Ecology, Mitchell Center for Sustainability Solutions, The University of Maine, Orono, ME 04469-5751, USA
- School of Forestry, Northern Arizona University, Flagstaff,AZ 86011-5018, USA
| | - Paul Beier
- School of Forestry, Northern Arizona University, Flagstaff,AZ 86011-5018, USA
- Center for Large Landscape Conservation, Bozeman, MT, USA
| | - Fabio Suzart de Albuquerque
- School of Applied Sciences and Arts, College of IntegrativeSciences and Arts, Arizona State University, Tempe, AZ, USA
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5
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Toivanen M, Maliniemi T, Hjort J, Salminen H, Ala-Hulkko T, Kemppinen J, Karjalainen O, Poturalska A, Kiilunen P, Snåre H, Leppiniemi O, Makopoulou E, Alahuhta J, Tukiainen H. Geodiversity data for Europe. PHILOSOPHICAL TRANSACTIONS. SERIES A, MATHEMATICAL, PHYSICAL, AND ENGINEERING SCIENCES 2024; 382:20230173. [PMID: 38342206 PMCID: PMC10859234 DOI: 10.1098/rsta.2023.0173] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 10/19/2023] [Indexed: 02/13/2024]
Abstract
Geodiversity is an essential part of nature's diversity. However, geodiversity is insufficiently understood in terms of its spatial distribution and its relationship to biodiversity over large spatial extents. Here, we present European geodiversity data at resolutions of 1 km and 10 km. We assess terrestrial geodiversity quantitatively as a richness variable (georichness) using a commonly employed grid-based approach. The data incorporate aspects of geological, pedological, geomorphological and hydrological diversity, which are also available as separate richness variables. To evaluate the data, we correlated European georichness with empirically tested national georichness data from Finland, revealing a positive correlation at both 1 km (rp = 0.37, p < 0.001) and 10 km (rp = 0.59, p < 0.001) resolutions. We also demonstrate potential uses of the European data by correlating georichness with vascular plant species richness in two contrasting example areas: Finland and Switzerland. The positive correlations between georichness and species richness in Finland (rp = 0.34, p < 0.001) and Switzerland (rp = 0.26, p < 0.001) further support the use of our data in geodiversity-biodiversity research. Moreover, there is great potential beyond geodiversity-biodiversity questions, as the data can be exploited across different regions, ecosystems and scales. These geodiversity data provide an insight on abiotic diversity in Europe and establish a quantitative large-scale geodiversity assessment method applicable worldwide. This article is part of the Theo Murphy meeting issue 'Geodiversity for science and society'.
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Affiliation(s)
- M. Toivanen
- Geography Research Unit, University of Oulu, 90014 Oulu, Finland
| | - T. Maliniemi
- Geography Research Unit, University of Oulu, 90014 Oulu, Finland
| | - J. Hjort
- Geography Research Unit, University of Oulu, 90014 Oulu, Finland
| | - H. Salminen
- Geography Research Unit, University of Oulu, 90014 Oulu, Finland
| | - T. Ala-Hulkko
- Geography Research Unit, University of Oulu, 90014 Oulu, Finland
- Kerttu Saalasti Institute, University of Oulu, Oulu 90014, Finland
| | - J. Kemppinen
- Geography Research Unit, University of Oulu, 90014 Oulu, Finland
| | - O. Karjalainen
- Geography Research Unit, University of Oulu, 90014 Oulu, Finland
| | - A. Poturalska
- Geography Research Unit, University of Oulu, 90014 Oulu, Finland
| | - P. Kiilunen
- Geography Research Unit, University of Oulu, 90014 Oulu, Finland
| | - H. Snåre
- Geography Research Unit, University of Oulu, 90014 Oulu, Finland
- Finnish Environment Institute, Nature Solutions, Paavo Havaksen Tie 3 Oulu, 90570, Finland
| | - O. Leppiniemi
- Geography Research Unit, University of Oulu, 90014 Oulu, Finland
| | - E. Makopoulou
- Geography Research Unit, University of Oulu, 90014 Oulu, Finland
| | - J. Alahuhta
- Geography Research Unit, University of Oulu, 90014 Oulu, Finland
| | - H. Tukiainen
- Geography Research Unit, University of Oulu, 90014 Oulu, Finland
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Vernham G, Bailey JJ, Chase JM, Hjort J, Field R, Schrodt F. Understanding trait diversity: the role of geodiversity. Trends Ecol Evol 2023:S0169-5347(23)00039-3. [PMID: 37003934 DOI: 10.1016/j.tree.2023.02.010] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2022] [Revised: 02/27/2023] [Accepted: 02/28/2023] [Indexed: 04/03/2023]
Abstract
Geodiversity - the abiotic heterogeneity of Earth's (sub)surface - is gaining recognition for its ecological links to biodiversity. However, theoretical and conceptual knowledge of geodiversity-trait diversity relationships is currently lacking and can improve understanding of abiotic drivers of community assembly. Here we synthesise the state of knowledge of these relationships. We find that some components of geodiversity (e.g., topographic heterogeneity) elicit strong trait responses, whereas other components (e.g., substrate heterogeneity) have marginal effects in driving trait distributions. However, current knowledge is lacking in key aspects, including geodiversity's effect on trait-specific diversity and intraspecific variation. We call for the explicit inclusion of geodiversity when relating environmental drivers to trait diversity, taking advantage of the increasing availability of trait and geodiversity data.
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Affiliation(s)
| | - Joseph J Bailey
- School of Life Sciences, Anglia Ruskin University, East Road, Cambridge, CB1 1PT, UK
| | - Jonathan M Chase
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany; Institute of Computer Science, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Jan Hjort
- Geography Research Unit, University of Oulu, Pentti Kaiteran katu 1, 90570 Oulu, Finland
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7
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Geodiversity Action Plans as a Tool for Developing Sustainable Tourism and Environmental Education. SUSTAINABILITY 2022. [DOI: 10.3390/su14106043] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
A complex approach to geodiversity and landscape in order to foster geoconservation and develop geotourism and geoeducation is usually more effective than isolated protection and promotion of geoheritage sites without wider context. A Geodiversity Action Plan (GAP) represents a reasonable tool for how to follow these goals in cooperation with local stakeholders. This specific document is not focused only on an inventory of sites of Earth science interest in an area, but encompasses all geodiversity (geological, geomorphological, soil and hydrological features, processes, systems and relationships). As geoconservation often goes hand in hand with education, sustainable tourism and promotion, the GAP includes practical proposals for management and rational use of the area’s geodiversity and geoheritage. This complex approach is needed as it provides a complement to the site-oriented protection or management and, moreover, it can be perceived as coherent with a geoethical approach. The paper presents a case study from Moravian-Slovak border (a central part of Bílé Karpaty/Biele Karpaty Mountains) where the proposal for GAP (including inventory, assessment and management measures) was elaborated together with local authorities, schools and other stakeholders.
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8
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Geodiversity underpins biodiversity but the relations can be complex: Implications from two biodiversity proxies. Glob Ecol Conserv 2021. [DOI: 10.1016/j.gecco.2021.e01830] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
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9
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Geodiversity impacts plant community structure in a semi-arid region. Sci Rep 2021; 11:15259. [PMID: 34315939 PMCID: PMC8316420 DOI: 10.1038/s41598-021-94698-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2021] [Accepted: 07/14/2021] [Indexed: 02/07/2023] Open
Abstract
Geodiversity refers to the variety of geological and physical elements as well as to geomorphological processes of the earth surface. Heterogeneity of the physical environment has an impact on plant diversity. In recent years, the relations between geodiversity and biodiversity has gained attention in conservation biology, especially in the context of climate change. In this study, we assessed the spatial and temporal change in plant's community structure in a semi-arid region, Sayeret Shaked Long Term Ecosystem Research (LTER) station, Israel. Vegetation surveys were conducted on different hillslopes, either with or without rock covers in order to study the spatial trends of hillslope geodiversity. The surveys were conducted for two consecutive years (2016 and 2017), of which the second year was drier and hotter and therefore permitted to investigate the temporal change of plant's community structure. The results of the spatial trends show that (1) geodiversity increases vegetation biodiversity and promotes perennial plants and those of the temporal change show that (2) the positive effect of geodiversity on plants' community structure and species richness is greater in the drier year than that in a wetter year. The main insight is that in these drylands, hillslopes with higher geodiversity appear to buffer the effect of drier years, and supported a more diverse plant community than lower geodiversity hillslopes.
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10
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Predicting Tree Species Diversity Using Geodiversity and Sentinel-2 Multi-Seasonal Spectral Information. SUSTAINABILITY 2020. [DOI: 10.3390/su12219250] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Measuring and monitoring tree diversity is a prerequisite for altering biodiversity loss and the sustainable management of forest ecosystems. High temporal satellite remote sensing, recording difference in species phenology, can facilitate the extraction of timely, standardized and reliable information on tree diversity, complementing or replacing traditional field measurements. In this study, we used multispectral and multi-seasonal remotely sensed data from the Sentinel-2 satellite sensor along with geodiversity data for estimating local tree diversity in a Mediterranean forest area. One hundred plots were selected for in situ inventory of tree species and measurement of tree diversity using the Simpson’s (D1) and Shannon (H′) diversity indices. Four Sentinel-2 scenes and geodiversity variables, including elevation, aspect, moisture, and basement rock type, were exploited through a random forest regression algorithm for predicting the two diversity indices. The multi-seasonal models presented the highest accuracy for both indices with an R2 up to 0.37. In regard to the single season, spectral-only models, mid-summer and mid-autumn model also demonstrated satisfactory accuracy (max R2 = 0.28). On the other hand, the accuracy of the spectral-only early-spring and early-autumn models was significant lower (max R2 = 0.16), although it was improved with the use of geodiversity information (max R2 = 0.25).
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11
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Simensen T, Horvath P, Vollering J, Erikstad L, Halvorsen R, Bryn A. Composite landscape predictors improve distribution models of ecosystem types. DIVERS DISTRIB 2020. [DOI: 10.1111/ddi.13060] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Affiliation(s)
- Trond Simensen
- Geo-Ecology Research Group Department of Research and Collections Natural History MuseumUniversity of Oslo Oslo Norway
- Norwegian Environment Agency Trondheim Norway
| | - Peter Horvath
- Geo-Ecology Research Group Department of Research and Collections Natural History MuseumUniversity of Oslo Oslo Norway
| | - Julien Vollering
- Geo-Ecology Research Group Department of Research and Collections Natural History MuseumUniversity of Oslo Oslo Norway
- Department of Environmental Sciences Western Norway University of Applied Sciences Sogndal Norway
| | - Lars Erikstad
- Geo-Ecology Research Group Department of Research and Collections Natural History MuseumUniversity of Oslo Oslo Norway
- Norwegian Institute for Nature Research (NINA) Oslo Norway
| | - Rune Halvorsen
- Geo-Ecology Research Group Department of Research and Collections Natural History MuseumUniversity of Oslo Oslo Norway
| | - Anders Bryn
- Geo-Ecology Research Group Department of Research and Collections Natural History MuseumUniversity of Oslo Oslo Norway
- Division of Survey and Statistics Norwegian Institute of Bioeconomy Research Ås Norway
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12
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Old Processes, New Movements: The Inclusion of Geodiversity in Biological and Ecological Discourse. DIVERSITY-BASEL 2019. [DOI: 10.3390/d11110216] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
There exists substantial variation in the qualitative and quantitative interpretations of the concept of geodiversity and its embedded elements and values. The resulting divergence and ambiguity in applications of the term constrain its present use as an operationalized concept in nature conservation research and discourse, unlike its seemingly analogous biotic term, ‘biodiversity’. This paper presents findings from a critical literature review of 299 academic journal articles and texts that define geodiversity values, or otherwise incorporate geodiversity or its derived elements and values as components of conservation. Contrary to previous suggestions, we have found that most geoscientists have united behind a single definition of geodiversity and applied it frequently in their primary and applied, geotouristic, research. Qualitative elements of geodiversity, including system support values and aesthetic appeals within nature conservation, have been largely confined to geoconservation and geoscientific literature and are nearly absent from biological discourse. Encouragingly, however, we have observed a more recent increase in research pertaining to quantitative interpretations of abiotic geodiversity elements and their relationship with the spatial distribution and abundance of species. Although the inclusion of geodiversity elements (quantitative and qualitative) in conservation assessment and biodiversity research has been and remains far less universal than for biodiversity elements, there is strong potential for further unification of these two concepts, especially though collaborative quantitative research. The more that geodiversity is discussed outside of geographic and geoscientific disciplines, broader recognition and validated use of the concept of geodiversity will be used in the understanding, interpretation, and protection of patterns and processes at the landscape scale.
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