Life Stage-Specific Genetic Diversity and Landscape Characteristics Collectively Influence Genetic Recovery in Pometia pinnata Population

Madhuparna Chatterjee , Xiao-Na Shao , Feng Liu , Guang-Hong Cao , Zheng-Feng Wang , Lu-Xiang Lin

Integrative Conservation ›› 2026, Vol. 5 ›› Issue (1) : 137 -149.

PDF (2252KB)
Integrative Conservation ›› 2026, Vol. 5 ›› Issue (1) :137 -149. DOI: 10.1002/inc3.70067
RESEARCH ARTICLE
Life Stage-Specific Genetic Diversity and Landscape Characteristics Collectively Influence Genetic Recovery in Pometia pinnata Population
Author information +
History +
PDF (2252KB)

Abstract

Understanding the genetic structure of tree populations is crucial for forest conservation and management. This study investigates Pometia pinnata, an ecologically significant dominant tree species in Xishuangbanna, China. We hypothesized that historical colonization patterns and complex topography have shaped the genetic structure of the current population, with species diversity and density acting as barriers to gene flow. We sampled 988 P. pinnata individuals across a topographically complex 20 ha plot with varying elevations (821.4–1043 m a.s.l.). Using nine microsatellite loci, we genotyped individuals and categorized them into life stages based on diameter at breast height classes: Adult, Sapling I, Sapling II, and Seedlings. We excluded two microsatellites that deviated from the Hardy–Weinberg Equilibrium and analyzed the genetic structure, parentage/offspring relationships, demographic history, and associations with ecological characteristics, such as species diversity, species density, and topography. The demographic history indicated that adults in the valley are a potential source for the entire population, as confirmed by bottleneck events observed during early restoration. Despite this, a panmictic structure and wide gene flow were detected, suggesting multiple progeny sources. Inbreeding was observed to increase in seedlings. Species diversity and density showed a positive correlation with genetic distance in adults, while topographic features influenced genetic structure differently across life stages. The genetic landscape of P. pinnata reflects a complex interplay of ecological and historical factors rather than a single barrier to gene flow. Forest conservation strategies should focus on maintaining landscape-level gene flow to preserve genetic diversity, ensuring the long-term adaptive potential of forest populations, and mitigating the impacts of habitat loss due to anthropogenic activity.

Keywords

conservation genetics / gene flow / genetic diversity / habitat fragmentation / Pometia pinnata / spatial distribution pattern / spatial genetic structure / tropical forest

Cite this article

Download citation ▾
Madhuparna Chatterjee, Xiao-Na Shao, Feng Liu, Guang-Hong Cao, Zheng-Feng Wang, Lu-Xiang Lin. Life Stage-Specific Genetic Diversity and Landscape Characteristics Collectively Influence Genetic Recovery in Pometia pinnata Population. Integrative Conservation, 2026, 5 (1) : 137-149 DOI:10.1002/inc3.70067

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Adamack, A. T., and B. Gruber. 2014. “PopGenReport: Simplifying Basic Population Genetic Analyses in R.” Methods in Ecology and Evolution 5, no. 4: 384–387. https://doi.org/10.1111/2041-210X.12158.

[2]

Agostinelli, C., and U. Lund. 2024. R Package ‘Circular’: Circular Statistics (Version 0.5-1). https://CRAN.R-project.org/package=circular.

[3]

Amiryousefi, A., J. Hyvönen, and P. Poczai. 2018. “iMEC: Online Marker Efficiency Calculator.” Applications in Plant Sciences 6, no. 6: e01159. https://doi.org/10.1002/aps3.1159.

[4]

Baddeley, A., and R. Turner. 2005. “spatstat: An R Package for Analyzing Spatial Point Patterns.” Journal of Statistical Software 12, no. 6: 1–42. https://doi.org/10.18637/jss.v012.i06.

[5]

Báez, S., B. Fadrique, K. Feeley, and J. Homeier. 2022. “Changes in Tree Functional Composition Across Topographic Gradients and Through Time in a Tropical Montane Forest.” PLoS One 17: e0263508. https://doi.org/10.1371/journal.pone.0263508.

[6]

Bhasin, O., J.-L. Doucet, R. Ndonda Makemba, et al. 2024. “Contrasted Spatial, Demographic and Genetic Structures of a Light-Demanding African Timber Species, Cylicodiscus gabunensis Harms – Implications for a Sustainable Management of Its Populations.” Forest Ecology and Management 551: 121527. https://doi.org/10.1016/j.foreco.2023.121527.

[7]

Bivand, R. S., and D. W. S. Wong. 2018. “Comparing Implementations of Global and Local Indicators of Spatial Association.” Test 27: 716–748. https://doi.org/10.1007/s11749-018-0599-x.

[8]

Blom, J. n.d. WindRose.xyz – Create Wind Rose Diagrams Online. https://windrose.xyz/.

[9]

Box, E. O., K. Fujiwara, and X. Z. Qiu. 1991. “Diversity and Dissimilarity of Three Forest Types in Xishuangbanna, Tropical Southern China.” In Bulletin of the Institute of Environmental Science and Technology, 85–105. Yokohama National University.

[10]

Brito, V. L. G., and M. Sazima. 2012. “Tibouchina pulchra (Melastomataceae): Reproductive Biology of a Tree Species at Two Sites of an Elevational Gradient in the Atlantic Rainforest in Brazil.” Plant Systematics and Evolution 298, no. 7: 1271–1279. https://doi.org/10.1007/s00606-012-0633-5.

[11]

Browne, L., K. Ottewell, V. L. Sork, and J. Karubian. 2018. “The Relative Contributions of Seed and Pollen Dispersal to Gene Flow and Genetic Diversity in Seedlings of a Tropical Palm.” Molecular Ecology 27: 3159–3173. https://doi.org/10.1111/mec.14768.

[12]

Buzatti, R. S. O., T. R. Pfeilsticker, A. C. Muniz, et al. 2019. “Disentangling the Environmental Factors That Shape Genetic and Phenotypic Leaf Trait Variation in the Tree Qualea grandiflora Across the Brazilian Savanna.” Frontiers in Plant Science 10: 1580. https://doi.org/10.3389/fpls.2019.01580.

[13]

Byrne, M., C. E. Ramalho, S. Tapper, and D. J. Coates. 2022. “Topographic Complexity Facilitates Persistence Compared to Signals of Contraction and Expansion in the Adjacent Subdued Landscape.” Frontiers in Conservation Science 3: 833766. https://doi.org/10.3389/fcosc.2022.833766.

[14]

Castilla, A. R., N. Pope, R. Jaffé, and S. Jha. 2016. “Elevation, Not Deforestation, Promotes Genetic Differentiation in a Pioneer Tropical Tree.” PLoS One 11: e0156694. https://doi.org/10.1371/journal.pone.0156694.

[15]

Chung, M. Y., J. D. Nason, and M. G. Chung. 2007. “Effects of Population Succession on Demographic and Genetic Processes: Predictions and Tests in the Daylily Hemerocallis thunbergii (Liliaceae).” Molecular Ecology 16: 2816–2829. https://doi.org/10.1111/j.1365-294X.2007.03361.x.

[16]

Cleary, D. F. R., C. Fauvelot, M. J. Genner, S. B. J. Menken, and A. Ø. Mooers. 2006. “Parallel Responses of Species and Genetic Diversity to El Niño Southern Oscillation-Induced Environmental Destruction.” Ecology Letters 9: 304–310. https://doi.org/10.1111/j.1461-0248.2005.00876.x.

[17]

Collin, F. D., G. Durif, L. Raynal, et al. 2021. “Extending Approximate Bayesian Computation With Supervised Machine Learning to Infer Demographic History From Genetic Polymorphisms Using DIYABC Random Forest.” Molecular Ecology Resources 21, no. 8: 2598–2613. https://doi.org/10.1111/1755-0998.13413.

[18]

Dalmaso, C. A., M. C. M. Marques, P. Higuchi, V. P. Zwiener, and R. Marques. 2020. “Spatial and Temporal Structure of Diversity and Demographic Dynamics Along a Successional Gradient of Tropical Forests in Southern Brazil.” Ecology and Evolution 10: 3164–3177. https://doi.org/10.1002/ece3.5816.

[19]

Danusevicius, D., O. P. Rajora, D. Kavaliauskas, V. Baliuckas, and A. Augustaitis. 2023. “Genetic Diversity and Fine-Scale Spatial Genetic Structure of Unmanaged Old-Growth Versus Managed Second-Growth Populations of Scots Pine (Pinus sylvestris L.) in Lithuania.” European Journal of Forest Research 142: 773–793. https://doi.org/10.1007/s10342-023-01556-x.

[20]

Da Silva, M. F., M. V. Cruz, J. D. D. Vidal Júnior, M. I. Zucchi, G. M. Mori, and A. P. De Souza. 2021. “Geographical and Environmental Contributions to Genomic Divergence in Mangrove Forests.” Biological Journal of the Linnean Society 132: 573–589. https://doi.org/10.1093/biolinnean/blaa199.

[21]

Davis, C. D., C. W. Epps, R. L. Flitcroft, and M. A. Banks. 2018. “Refining and Defining Riverscape Genetics: How Rivers Influence Population Genetic Structure.” WIREs Water 5: e1269. https://doi.org/10.1002/wat2.1269.

[22]

Doerksen, T. K., J. Bousquet, and J. Beaulieu. 2014. “Inbreeding Depression in Intra-Provenance Crosses Driven by Founder Relatedness in White Spruce.” Tree Genetics & Genomes 10, no. 1: 203–212. https://doi.org/10.1007/s11295-013-0676-y.

[23]

Doyle, J. 1991. “DNA Protocols for Plants.” In Molecular Techniques in Taxonomy. NATO ASI Series (Vol. 57), edited by G. M. Hewitt, A. W. B. Johnston and J. P. W. Young. Springer.

[24]

Dyderski, M. K., and Pawlik . 2020. “Spatial Distribution of Tree Species in Mountain National Parks Depends on Geomorphology and Climate.” Forest Ecology and Management 474, no. 15: 118366. https://doi.org/10.1016/j.foreco.2020.118366.

[25]

Epperson, B. K. 1992. “Spatial Structure of Genetic Variation Within Populations of Forest Trees.” In Population Genetics of Forest Trees. Forestry Sciences (Vol. 42), edited by W. T. Adams, S. H. Strauss, D. L. Copes and A. R. Griffin. Springer.

[26]

Erős, T., and W. H. Lowe. 2019. “The Landscape Ecology of Rivers: From Patch-Based to Spatial Network Analyses.” Current Landscape Ecology Reports 4: 103–112. https://doi.org/10.1007/s40823-019-00044-6.

[27]

Falk, D. A., P. J. van Mantgem, J. E. Keeley, et al. 2022. “Mechanisms of Forest Resilience.” Forest Ecology and Management 512: 120129. https://doi.org/10.1016/j.foreco.2022.120129.

[28]

Fu, Y., J. Chen, H. Guo, A. Chen, and J. Cui. 2010. “Utilisation and Conservation Strategies for Plant Resources in Tropical Montane Agroecosystems: A Case Study From Xishuangbanna, SW China.” International Journal of Biodiversity Science & Management 4: 32–43. https://doi.org/10.1080/17451590809618181.

[29]

Gamba, D., and N. Muchhala. 2020. “Global Patterns of Population Genetic Differentiation in Seed Plants.” Molecular Ecology 29: 3413–3428. https://doi.org/10.1111/mec.15575.

[30]

Goncalves, A. L., M. V. García, M. Heuertz, and S. C. González-Martínez. 2019. “Demographic History and Spatial Genetic Structure in a Remnant Population of the Subtropical Tree Anadenanthera colubrina var. cebil (Griseb.) Altschul (Fabaceae).” Annals of Forest Science 76, no. 2019: 18. https://doi.org/10.1007/s13595-019-0797-z.

[31]

Guittar, J., D. Goldberg, K. Klanderud, et al. 2020. “Quantifying the Roles of Seed Dispersal, Filtering, and Climate on Regional Patterns of Grassland Biodiversity.” Ecology 101, no. 10: e03061. https://doi.org/10.1002/ecy.3061.

[32]

Hardy, O. J., and X. Vekemans. 2002. “Spagedi: A Versatile Computer Program to Analyse Spatial Genetic Structure at the Individual or Population Levels.” Molecular Ecology Notes 2, no. 4: 618–620. https://doi.org/10.1046/j.1471-8286.2002.00305.x.

[33]

Hua, Z., W. Hong, L. Baogui, and X. Zaifu. 1998. “Research on the Tropical Seasonal Rainforest of Xishuangbanna, South Yunnan.” Guangxi Zhiwu 18: 371–384.

[34]

Jiménez-Ramírez, A., D. Grivet, and J. J. Robledo-Arnuncio. 2021. “Measuring Recent Effective Gene Flow Among Large Populations in Pinus sylvestris: Local Pollen Shedding Does Not Preclude Substantial Long-Distance Pollen Immigration.” PLoS One 16: e0255776. https://doi.org/10.1371/journal.pone.0255776.

[35]

Jombart, T. 2008. “adegenet: A R Package for the Multivariate Analysis of Genetic Markers.” Bioinformatics 24, no. 11: 1403–1405. https://doi.org/10.1093/bioinformatics/btn129.

[36]

Kijowska-Oberc, J., A. M. Staszak, J. Kamiński, and E. Ratajczak. 2020. “Adaptation of Forest Trees to Rapidly Changing Climate.” Forests 11: 123. https://doi.org/10.3390/f11020123.

[37]

Kremer, A., O. Ronce, J. J. Robledo-Arnuncio, et al. 2012. “Long-Distance Gene Flow and Adaptation of Forest Trees to Rapid Climate Change.” Ecology Letters 15: 378–392. https://doi.org/10.1111/j.1461-0248.2012.01746.x.

[38]

Kyriazis, C. C., R. K. Wayne, and K. E. Lohmueller. 2021. “Strongly Deleterious Mutations Are a Primary Determinant of Extinction Risk Due to Inbreeding Depression.” Evolution Letters 5, no. 1: 33–47. https://doi.org/10.1002/evl3.209.

[39]

Lahive, F., P. Hadley, and A. J. Daymond. 2019. “The Physiological Responses of Cacao to the Environment and the Implications for Climate Change Resilience. A Review.” Agronomy for Sustainable Development 39: 5. https://doi.org/10.1007/s13593-018-0552-0.

[40]

Larkin, D. G., and J. B. Z. Vivian-Smith. 2006. “Topographic Heterogeneity Theory and Ecological Restoration.” In Foundations of Restoration Ecology, 142–164. Island Press.

[41]

Laroche, F., P. Jarne, T. Lamy, P. David, and F. Massol. 2015. “A Neutral Theory for Interpreting Correlations Between Species and Genetic Diversity in Communities.” American Naturalist 185, no. 1: 59. https://doi.org/10.1086/678990.

[42]

Lausch, A., S. Erasmi, D. King, P. Magdon, and M. Heurich. 2016. “Understanding Forest Health With Remote Sensing-Part I—A Review of Spectral Traits, Processes and Remote-Sensing Characteristics.” Remote Sensing 8, no. 12: 1029. https://doi.org/10.3390/rs8121029.

[43]

Leites, L., and M. Benito Garzón. 2023. “Forest Tree Species Adaptation to Climate Across Biomes: Building on the Legacy of Ecological Genetics to Anticipate Responses to Climate Change.” Global Change Biology 29: 4711–4730. https://doi.org/10.1111/gcb.16711.

[44]

Li, H., Y. Ma, T. M. Aide, and W. Liu. 2008. “Past, Present and Future Land-Use in Xishuangbanna, China and the Implications for Carbon Dynamics.” Forest Ecology and Management 255, no. 1: 16–24. https://doi.org/10.1016/j.foreco.2007.06.051.

[45]

Lin, G., D. Stralberg, G. Gong, Z. Huang, W. Ye, and L. Wu. 2013. “Separating the Effects of Environment and Space on Tree Species Distribution: From Population to Community.” PLoS ONE 8, no. 2: e56171. https://doi.org/10.1371/journal.pone.0056171.

[46]

Marshall, T. C., J. Slate, L. E. B. Kruuk, and J. M. Pemberton. 2003. “Statistical Confidence for Likelihood-Based Paternity Inference in Natural Populations.” Molecular Ecology 7, no. 5: 639–655. https://doi.org/10.1046/j.1365-294x.1998.00374.x.

[47]

Mashiane, K. K., A. Ramoelo, and S. Adelabu. 2023. “Diversifying Modelling Techniques to Disentangle the Complex Patterns of Species Richness and Diversity in the Protected Afromontane Grasslands.” Biodiversity and Conservation 32: 1423–1436. https://doi.org/10.1007/s10531-023-02560-8.

[48]

Mason, A. S., J. Zhang, R. Tollenaere, et al. 2015. “High-Throughput Genotyping for Species Identification and Diversity Assessment in Germplasm Collections.” Molecular Ecology Resources 15, no. 5: 1091–1101. https://doi.org/10.1111/1755-0998.12379.

[49]

Maxwell, C. J., and R. M. Scheller. 2019. “Identifying Habitat Holdouts for High Elevation Tree Species Under Climate Change.” Frontiers in Forests and Global Change 2: 94. https://doi.org/10.3389/ffgc.2019.00094.

[50]

Mendoza-Maya, E., G. I. Giles-Pérez, J. J. Vargas-Hernández, et al. 2024. “Evolutionary Drivers of Reproductive Fitness in Two Endangered Forest Trees.” New Phytologist 244, no. 3: 1086–1100. https://doi.org/10.1111/nph.20073.

[51]

Montoya, D. 2021. “Challenges and Directions Toward a General Theory of Ecological Recovery Dynamics: A Metacommunity Perspective.” One Earth 4, no. 8: 1083–1094. https://doi.org/10.1016/j.oneear.2021.07.012.

[52]

Moracho, E., E. K. Klein, S. Oddou-Muratorio, A. Hampe, and P. Jordano. 2024. “Highly Clustered Mating Networks in Naturally Fragmented Riparian Tree Populations.” Molecular Ecology 33: e17285. https://doi.org/10.1111/mec.17285.

[53]

Nichols, B. S., G. Leubner-Metzger, and V. A. A. Jansen. 2020. “Between a Rock and a Hard Place: Adaptive Sensing and Site-Specific Dispersal.” Ecology Letters 23: 1370–1379. https://doi.org/10.1111/ele.13564.

[54]

Olazcuaga, L., B. Lincke, S. DeLacey, L. F. Durkee, B. A. Melbourne, and R. A. Hufbauer. 2023. “Population Demographic History and Evolutionary Rescue: Influence of a Bottleneck Event.” Evolutionary Applications 16: 1483–1495. https://doi.org/10.1111/eva.13581.

[55]

Peakall, R., and P. E. Smouse. 2012. “GenAlEx 6.5: Genetic Analysis in Excel. Population Genetic Software for Teaching and Research—An Update.” Bioinformatics 28, no. 19: 2537–2539. https://doi.org/10.1093/bioinformatics/bts460.

[56]

Pedersen, T. L. 2019. Package ‘Patchwork’. R Package. https://CRAN.R-project.org/package=patchwork.

[57]

Porras-Hurtado, L., Y. Ruiz, C. Santos, C. Phillips, A. Carracedo, and M. V. Lareu. 2013. “An Overview of STRUCTURE: Applications, Parameter Settings, and Supporting Software.” Frontiers in Genetics 4, no. 4: 98. https://doi.org/10.3389/fgene.2013.00098.

[58]

Raymond, M., and F. Rousset. 1995. “GENEPOP (Version 1.2): Population Genetics Software for Exact Tests and Ecumenicism.” Journal of Heredity 86: 248–249.

[59]

Reynes, L., D. Aurelle, C. Chevalier, et al. 2021. “Population Genomics and Lagrangian Modeling Shed Light on Dispersal Events in the Mediterranean Endemic Ericaria zosteroides (=Cystoseira zosteroides) (Fucales).” Frontiers in Marine Science 8: 683528. https://doi.org/10.3389/fmars.2021.683528.

[60]

Ripley, B. D. 1977. “Modelling Spatial Patterns.” Journal of the Royal Statistical Society Series B: Statistical Methodology 39: 172–192. https://doi.org/10.1111/j.2517-6161.1977.tb01615.x.

[61]

Rogers, H. S., I. Donoso, A. Traveset, and E. C. Fricke. 2021. “Cascading Impacts of Seed Disperser Loss on Plant Communities and Ecosystems.” Annual Review of Ecology, Evolution, and Systematics 52: 641–666. https://doi.org/10.1146/annurev-ecolsys-012221-111742.

[62]

Sandurska, E., B. Ulaszewski, K. Meyza, E. Sztupecka, and J. Burczyk. 2024. “Factors Determining Fine-Scale Spatial Genetic Structure Within Coexisting Populations of Common Beech (Fagus sylvatica L.), Pedunculate Oak (Quercus robur L.), and Sessile Oak (Q. petraea (Matt.) Liebl.).” Annals of Forest Science 81: 3. https://doi.org/10.1186/s13595-023-01217-4.

[63]

Song, N., P. Li, X. Zhang, and T. Gao. 2018. “Changing Phylogeographic Pattern of Fenneropenaeus chinensis in the Yellow Sea and Bohai Sea inferred From Microsatellite DNA: Implications for Genetic Management.” Fisheries Research 200: 11–16. https://doi.org/10.1016/j.fishres.2017.12.003.

[64]

Soulé, M., and B. R. Stewart. 1970. “The "Niche-Variation" Hypothesis: A Test and Alter-Natives.” American Naturalist 104: 85–97.

[65]

Thomson, L. A., and R. R. Thaman. 2006. “Pometia pinnata (Tava).” Spesies Profiles for Pacific Island Agroforestry 2: 1–16. https://www.doc-developpement-durable.org/file/Culture/Arbres-Fruitiers/FICHES_ARBRES/Pometier_Pometia%20pinnata/pometia-pinnata_tava_soapberry-family.pdf.

[66]

Troupin, D., R. Nathan, and G. G. Vendramin. 2006. “Analysis of Spatial Genetic Structure in an Expanding Pinus halepensis Population Reveals Development of Fine-Scale Genetic Clustering Over Time.” Molecular Ecology 15: 3617–3630. https://doi.org/10.1111/j.1365-294X.2006.03047.x.

[67]

Turner, M. G., and R. H. Gardner. 2015. “Introduction to Landscape Ecology and Scale.” In Landscape Ecology in Theory and Practice. Springer.

[68]

Vekemans, X., and O. J. Hardy. 2004. “New Insights From Fine-Scale Spatial Genetic Structure Analyses in Plant Populations.” Molecular Ecology 13: 921–935. https://doi.org/10.1046/j.1365-294X.2004.02076.x.

[69]

Vellend, M., and M. A. Geber. 2005. “Connections Between Species Diversity and Genetic Diversity.” Ecology Letters 8: 767–781. https://doi.org/10.1111/j.1461-0248.2005.00775.x.

[70]

Wagner, F. H., R. Dalagnol, X. Tagle Casapia, et al. 2020. “Regional Mapping and Spatial Distribution Analysis of Canopy Palms in an Amazon Forest Using Deep Learning and VHR Images.” Remote Sensing 12: 2225. https://doi.org/10.3390/rs12142225.

[71]

Wang, J., H. Lu, K. N. Plataniotis, and J. Lu. 2009. “Gaussian Kernel Optimization for Pattern Classification.” Elsevier 42, no. 7: 1237–1247. https://doi.org/10.1016/j.patcog.2008.11.024.

[72]

Wang, Z.-F., J.-Y. Lian, G.-M. Huang, W.-H. Ye, H.-L. Cao, and Z.-M. Wang. 2012. “Genetic Groups in the Common Plant Species Castanopsis chinensis and Their Associations With Topographic Habitats.” Oikos 121: 2044–2051. https://doi.org/10.1111/j.1600-0706.2012.20483.x.

[73]

Whitham, T. G., J. K. Bailey, J. A. Schweitzer, et al. 2006. “A Framework for Community and Ecosystem Genetics: From Genes to Ecosystems.” Nature Reviews Genetics 7, no. 7: 510–523. https://doi.org/10.1038/nrg1877.

[74]

Whitlock, M. C. 2015. “Modern Approaches to Local Adaptation.” Supplement, American Naturalist 186, no. S1: S1–S4. https://doi.org/10.1086/682933.

[75]

Wilkinson, L. 2011. “ggplot2: Elegant Graphics for Data Analysis by Wickham, H.” Biometrics 67, no. 2: 678–679. https://doi.org/10.1111/j.1541-0420.2011.01616.x.

[76]

Wu, Y., K. Yang, X. Wen, and Y. Sun. 2024. “Genetic Differentiation and Relationship Among Castanopsis chinensis, C. qiongbeiensis, and C. glabrifolia (Fagaceae) as Revealed by Nuclear SSR Markers.” Plants 13, no. 11: 1486. https://doi.org/10.3390/plants13111486.

[77]

Xie, L., Y. Yang, Y. Li, et al. 2021. “A Meta-Analysis Indicates Positive Correlation between Genetic Diversity and Species Diversity.” Biology 10, no. 11: 1089. https://doi.org/10.3390/biology10111089.

[78]

Xu, W., L. Liu, T. He, et al. 2016. “Soil Properties Drive a Negative Correlation Between Species Diversity and Genetic Diversity in a Tropical Seasonal Rainforest.” Scientific Reports 6: 20652. https://doi.org/10.1038/srep20652.

[79]

Zeng, X., S. G. Michalski, M. Fischer, and W. Durka. 2012. “Species Diversity and Population Density Affect Genetic Structure and Gene Dispersal in a Subtropical Understory Shrub.” Journal of Plant Ecology 5: 270–278. https://doi.org/10.1093/jpe/rtr029.

[80]

Zhang, L., L. Feng, X. Guo, J. Zhao, and J. Dao. 2008. “A Preliminary Study on Designing Ecological Corridors in Xishuangbanna National Nature Reserve With 3S Techniques.” Frontiers of Biology in China 3: 101–105. https://doi.org/10.1007/s11515-008-0003-4.

[81]

Zhang, Z., S. W. Gale, J.-H. Li, G. A. Fischer, M.-X. Ren, and X.-Q. Song. 2019. “Pollen-Mediated Gene Flow Ensures Connectivity Among Spatially Discrete Sub-Populations of Phalaenopsis pulcherrima, a Tropical Food-Deceptive Orchid.” BMC Plant Biology 19: 597. https://doi.org/10.1186/s12870-019-2179-y.

RIGHTS & PERMISSIONS

2026 The Author(s). Integrative Conservation published by John Wiley & Sons Australia, Ltd on behalf of Xishuangbanna Tropical Botanical Garden (XTBG).

PDF (2252KB)

0

Accesses

0

Citation

Detail

Sections
Recommended

/