Menu
×
Baxter-Patrick James Island
9 a.m. - 6 p.m.
Phone: (843) 795-6679
West Ashley Library
9 a.m. - 6 p.m.
Phone: (843) 766-6635
Wando Mount Pleasant Library
9 a.m. - 6 p.m.
Phone: (843) 805-6888
Village Library
9 a.m. - 6 p.m.
Phone: (843) 884-9741
St. Paul's/Hollywood Library
9 a.m. - 6 p.m.
Phone: (843) 889-3300
Otranto Road Library
9 a.m. - 6 p.m.
Phone: (843) 572-4094
Mt. Pleasant Library
9 a.m. - 6 p.m.
Phone: (843) 849-6161
McClellanville Library
9 a.m. - 1 p.m.
Phone: (843) 887-3699
Keith Summey North Charleston Library
9 a.m. - 6 p.m.
Phone: (843) 744-2489
John's Island Library
9 a.m. - 6 p.m.
Phone: (843) 559-1945
Hurd/St. Andrews Library
9 a.m. - 6 p.m.
Phone: (843) 766-2546
Folly Beach Library
9 a.m. - 1 p.m.
Phone: (843) 588-2001
Edisto Island Library
9 a.m. - 3 p.m.
Phone: (843) 869-2355
Dorchester Road Library
9 a.m. - 6 p.m.
Phone: (843) 552-6466
John L. Dart Library
9 a.m. - 6 p.m.
Phone: (843) 722-7550
Main Library
9 a.m. - 6 p.m.
Phone: (843) 805-6930
Bees Ferry West Ashley Library
9 a.m. - 6 p.m.
Phone: (843) 805-6892
Edgar Allan Poe/Sullivan's Island Library
Closed for renovations
Phone: (843) 883-3914
Mobile Library
9 a.m. - 5 p.m.
Phone: (843) 805-6909
Today's Hours
Baxter-Patrick James Island
9 a.m. - 6 p.m.
Phone: (843) 795-6679
West Ashley Library
9 a.m. - 6 p.m.
Phone: (843) 766-6635
Wando Mount Pleasant Library
9 a.m. - 6 p.m.
Phone: (843) 805-6888
Village Library
9 a.m. - 6 p.m.
Phone: (843) 884-9741
St. Paul's/Hollywood Library
9 a.m. - 6 p.m.
Phone: (843) 889-3300
Otranto Road Library
9 a.m. - 6 p.m.
Phone: (843) 572-4094
Mt. Pleasant Library
9 a.m. - 6 p.m.
Phone: (843) 849-6161
McClellanville Library
9 a.m. - 1 p.m.
Phone: (843) 887-3699
Keith Summey North Charleston Library
9 a.m. - 6 p.m.
Phone: (843) 744-2489
John's Island Library
9 a.m. - 6 p.m.
Phone: (843) 559-1945
Hurd/St. Andrews Library
9 a.m. - 6 p.m.
Phone: (843) 766-2546
Folly Beach Library
9 a.m. - 1 p.m.
Phone: (843) 588-2001
Edisto Island Library
9 a.m. - 3 p.m.
Phone: (843) 869-2355
Dorchester Road Library
9 a.m. - 6 p.m.
Phone: (843) 552-6466
John L. Dart Library
9 a.m. - 6 p.m.
Phone: (843) 722-7550
Main Library
9 a.m. - 6 p.m.
Phone: (843) 805-6930
Bees Ferry West Ashley Library
9 a.m. - 6 p.m.
Phone: (843) 805-6892
Edgar Allan Poe/Sullivan's Island Library
Closed for renovations
Phone: (843) 883-3914
Mobile Library
9 a.m. - 5 p.m.
Phone: (843) 805-6909
Patron Login
menu
Item request has been placed!
×
Item request cannot be made.
×
Processing Request
Global potential for natural regeneration in deforested tropical regions.
Item request has been placed!
×
Item request cannot be made.
×
Processing Request
- Author(s): Williams BA;Williams BA;Williams BA;Williams BA;Williams BA; Beyer HL; Beyer HL; Beyer HL; Fagan ME; Fagan ME; Chazdon RL; Chazdon RL; Chazdon RL; Schmoeller M; Schmoeller M; Sprenkle-Hyppolite S; Sprenkle-Hyppolite S; Griscom BW; Griscom BW; Watson JEM; Watson JEM; Watson JEM; Tedesco AM; Tedesco AM; Tedesco AM; Tedesco AM; Gonzalez-Roglich M; Gonzalez-Roglich M; Gonzalez-Roglich M; Daldegan GA; Daldegan GA; Bodin B; Bodin B; Celentano D; Celentano D; Wilson SJ; Wilson SJ; Rhodes JR; Rhodes JR; Rhodes JR; Rhodes JR; Alexandre NS; Alexandre NS; Alexandre NS; Kim DH; Kim DH; Bastos D; Bastos D; Crouzeilles R; Crouzeilles R; Crouzeilles R
- Source:
Nature [Nature] 2024 Dec; Vol. 636 (8041), pp. 131-137. Date of Electronic Publication: 2024 Oct 30.- Publication Type:
Journal Article- Language:
English - Source:
- Additional Information
- Source: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 0410462 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1476-4687 (Electronic) Linking ISSN: 00280836 NLM ISO Abbreviation: Nature Subsets: MEDLINE
- Publication Information: Publication: Basingstoke : Nature Publishing Group
Original Publication: London, Macmillan Journals ltd. - Subject Terms: Conservation of Natural Resources*/economics ; Conservation of Natural Resources*/methods ; Conservation of Natural Resources*/trends ; Forestry*/economics ; Forestry*/methods ; Forestry*/trends ; Forests* ; Trees*/growth & development ; Trees*/physiology ; Tropical Climate* ; Environmental Restoration and Remediation*/economics ; Environmental Restoration and Remediation*/methods ; Environmental Restoration and Remediation*/trends; Brazil ; Carbon Sequestration ; China ; Colombia ; Indonesia ; Mexico ; Geographic Mapping ; Biodiversity ; Decision Making
- Abstract: Extensive forest restoration is a key strategy to meet nature-based sustainable development goals and provide multiple social and environmental benefits 1 . Yet achieving forest restoration at scale requires cost-effective methods 2 . Tree planting in degraded landscapes is a popular but costly forest restoration method that often results in less biodiverse forests when compared to natural regeneration techniques under similar conditions 3 . Here we assess the current spatial distribution of pantropical natural forest (from 2000 to 2016) and use this to present a model of the potential for natural regeneration across tropical forested countries and biomes at a spatial resolution of 30 m. We estimate that an area of 215 million hectares-an area greater than the entire country of Mexico-has potential for natural forest regeneration, representing an above-ground carbon sequestration potential of 23.4 Gt C (range, 21.1-25.7 Gt) over 30 years. Five countries (Brazil, Indonesia, China, Mexico and Colombia) account for 52% of this estimated potential, showcasing the need for targeting restoration initiatives that leverage natural regeneration potential. Our results facilitate broader equitable decision-making processes that capitalize on the widespread opportunity for natural regeneration to help achieve national and global environmental agendas.
Competing Interests: Competing interests: The authors declare no competing interests.
(© 2024. The Author(s).) - Comments: Erratum in: Nature. 2024 Dec 6. doi: 10.1038/s41586-024-08481-y. (PMID: 39643651)
- References: Holl, K. D. Restoring tropical forests from the bottom up. Science 355, 455–456 (2017). (PMID: 2815403310.1126/science.aam5432)
Chazdon, R. L. & Guariguata, M. R. Natural regeneration as a tool for large‐scale forest restoration in the tropics: prospects and challenges. Biotropica 48, 716–730 (2016). (PMID: 10.1111/btp.12381)
Crouzeilles, R. et al. Ecological restoration success is higher for natural regeneration than for active restoration in tropical forests. Sci. Adv. 3, e1701345 (2017). (PMID: 29134195567734810.1126/sciadv.1701345)
Strassburg, B. B. N. et al. Global priority areas for ecosystem restoration. Nature 586, 724–729 (2020). (PMID: 3305719810.1038/s41586-020-2784-9)
Wolosin, M. et al. Exponential Roadmap for Natural Climate Solutions (Conservation International, 2022).
IPCC Working Group. Climate Change 2022 Mitigation of Climate Change Working Group III Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (Cambridge Univ. Press, 2014).
The Bonn Challenge www.bonnchallenge.org/about (IUCN, 2020).
First Draft of the Post-2020 Global Biodiversity Framework (CBD, 2021).
Pillay, R. et al. Tropical forests are home to over half of the world’s vertebrate species. Front. Ecol. Environ. 20, 10–15 (2022). (PMID: 3587335810.1002/fee.2420)
Cook-Patton, S. C. et al. Mapping carbon accumulation potential from global natural forest regrowth. Nature 585, 545–550 (2020). (PMID: 3296825810.1038/s41586-020-2686-x)
Hansen, M. C. et al. High-resolution global maps of 21st-century forest cover change. Science 342, 850–853 (2013). (PMID: 2423372210.1126/science.1244693)
NDC’s—a Force for Nature? (WWF, 2021).
Brancalion, P. H. S. et al. What makes ecosystem restoration expensive? A systematic cost assessment of projects in Brazil. Biol. Conserv. 240, 108274 (2019). (PMID: 10.1016/j.biocon.2019.108274)
Hua, F. et al. The biodiversity and ecosystem service contributions and trade-offs of forest restoration approaches. Science 376, 839–844 (2022). (PMID: 3529827910.1126/science.abl4649)
Bodin, B. et al. A standard framework for assessing the costs and benefits of restoration: introducing The Economics of Ecosystem Restoration. Restor. Ecol. 30, e13515 (2022).
Chazdon, R. L. et al. Fostering natural forest regeneration on former agricultural land through economic and policy interventions. Environ. Res. Lett. 15, 043002 (2020). (PMID: 10.1088/1748-9326/ab79e6)
Bastin, J.-F. et al. The global tree restoration potential. Science 365, 76–79 (2019). (PMID: 3127312010.1126/science.aax0848)
Laestadius, L. et al. Mapping Opportunities for Forest Landscape Restoration (FAO, 2011).
Veldman, J. W. et al. Comment on “The global tree restoration potential”. Science 366, eaay7976 (2019). (PMID: 3162418210.1126/science.aay7976)
Fagan, M. E. A lesson unlearned? Underestimating tree cover in drylands biases global restoration maps. Glob. Change Biol. 26, 4679–4690 (2020). (PMID: 10.1111/gcb.15187)
Ling, P.-Y. et al. Mapping global forest regeneration—an untapped potential to mitigate climate change and biodiversity loss. Environ. Res. Lett. 18, 054025 (2023). (PMID: 10.1088/1748-9326/accfaf)
Fagan, M. E. et al. The expansion of tree plantations across tropical biomes. Nat. Sustain. 5, 681–688 (2022). (PMID: 10.1038/s41893-022-00904-w)
Grantham, H. S. et al. Anthropogenic modification of forests means only 40% of remaining forests have high ecosystem integrity. Nat. Commun. 11, 5978 (2020). (PMID: 33293507772305710.1038/s41467-020-19493-3)
Sloan, S., Goosem, M. & Laurance, S. G. Tropical forest regeneration following land abandonment is driven by primary rainforest distribution in an old pastoral region. Landsc. Ecol. 31, 601–618 (2016). (PMID: 10.1007/s10980-015-0267-4)
Cerri, C. C., Volkoff, B. & Andreaux, F. Nature and behaviour of organic matter in soils under natural forest, and after deforestation, burning and cultivation, near Manaus. For. Ecol. Manage. 38, 247–257 (1991). (PMID: 10.1016/0378-1127(91)90146-M)
Damian, J. M. et al. Deforestation and land use change mediate soil carbon changes in the eastern Brazilian Amazon. Reg. Environ. Change 21, 64 (2021).
Shoo, L. P. & Catterall, C. P. Stimulating natural regeneration of tropical forest on degraded land: approaches, outcomes, and information gaps. Restor. Ecol. 21, 670–677 (2013). (PMID: 10.1111/rec.12048)
Harris, N. L. et al. Global maps of twenty-first century forest carbon fluxes. Nat. Clim. Change 11, 234–240 (2021). (PMID: 10.1038/s41558-020-00976-6)
Chazdon, R. L. et al. Carbon sequestration potential of second-growth forest regeneration in the Latin American tropics. Sci. Adv. 2, e1501639 (2016). (PMID: 27386528492892110.1126/sciadv.1501639)
Annex 3A.1 Biomass Default Tables for Section 3.2 Forest Land (ICPP, 2003).
Baccini, A. et al. Tropical forests are a net carbon source based on aboveground measurements of gain and loss. Science 358, 230–234 (2017). (PMID: 2897196610.1126/science.aam5962)
Mo, L. et al. Integrated global assessment of the natural forest carbon potential. Nature https://doi.org/10.1038/s41586-023-06723-z (2023).
López-Cubillos, S. et al. Spatial prioritization to achieve the triple bottom line in payment for ecosystem services design. Ecosyst. Serv. 55, 101424 (2022).
Bustamante, M. M. C. et al. Ecological restoration as a strategy for mitigating and adapting to climate change: lessons and challenges from Brazil. Mitig. Adapt. Strateg. Glob. Change 24, 1249–1270 (2019). (PMID: 10.1007/s11027-018-9837-5)
César, R. G. et al. It is not just about time: agricultural practices and surrounding forest cover affect secondary forest recovery in agricultural landscapes. Biotropica https://doi.org/10.1111/btp.12893 (2021).
Chazdon, R. L. Second Growth: The Promise of Tropical Forest Regeneration in an Age of Deforestation (Univ. Chicago Press, 2014).
Lawrence, D., Coe, M., Walker, W., Verchot, L. & Vandecar, K. The unseen effects of deforestation: biophysical effects on climate. Front. For. Glob. Change 5, 756115 (2022).
Uriarte, M. et al. Impacts of climate variability on tree demography in second growth tropical forests: the importance of regional context for predicting successional trajectories. Biotropica 48, 780–797 (2016). (PMID: 10.1111/btp.12380)
Chazdon, R. L. et al. The potential for species conservation in tropical secondary forests. Conserv. Biol. 23, 1406–1417 (2009). (PMID: 2007864110.1111/j.1523-1739.2009.01338.x)
Brancalion, P. H. S. & Holl, K. D. Guidance for successful tree planting initiatives. J. Appl. Ecol. 57, 2349–2361 (2020). (PMID: 10.1111/1365-2664.13725)
Shono, K., Chazdon, R., Bodin, B., Wilson, S. J. & Durst, P. Assisted natural regeneration: harnessing nature for restoration. Unasylva 252, 71–81 (2020).
Holl, K. D., Loik, M. E., Lin, E. H. V. & Samuels, I. A. Tropical Montane forest restoration in Costa Rica: overcoming barriers to dispersal and establishment. Restor. Ecol. 8, 339–349 (2000). (PMID: 10.1046/j.1526-100x.2000.80049.x)
Chazdon, R. L. et al. When is a forest a forest? Forest concepts and definitions in the era of forest and landscape restoration. Ambio 45, 538–550 (2016). (PMID: 26961011498031710.1007/s13280-016-0772-y)
Zahawi, R. A., Reid, J. L. & Holl, K. D. Hidden costs of passive restoration. Restor. Ecol. 22, 284–287 (2014). (PMID: 10.1111/rec.12098)
Reid, J. L. et al. How long do restored ecosystems persist? Ann. Mo. Bot. Gard. 102, 258–265 (2017). (PMID: 10.3417/2017002)
Brancalion, P. H. S. et al. A call to develop carbon credits for second-growth forests. Nat. Ecol. Evol. 8, 179–180 (2024).
Warsaw Framework for REDD+ (UNFCCC, 2023).
West, T. A. P., Börner, J., Sills, E. O. & Kontoleon, A. Overstated carbon emission reductions from voluntary REDD+ projects in the Brazilian Amazon. Proc. Natl Acad. Sci. USA 117, 24188–24194 (2020). (PMID: 32929021753383310.1073/pnas.2004334117)
Yeong, K. L. et al. Enrichment planting to improve habitat quality and conservation value of tropical rainforest fragments. Biodivers. Conserv. 25, 957–973 (2016).
Wilson, S. J. Communal management as a strategy for restoring cloud forest landscapes in Andean Ecuador. World Dev. Perspect. 3, 47–49 (2016). (PMID: 10.1016/j.wdp.2016.11.007)
Soares-Filho, B. et al. Land use. Cracking Brazil’s forest code. Science 344, 363–364 (2014). (PMID: 2476357510.1126/science.1246663)
Griscom, B. W. et al. Natural climate solutions. Proc. Natl Acad. Sci. USA 114, 11645–11650 (2017). (PMID: 29078344567691610.1073/pnas.1710465114)
Griscom, B. W. et al. National mitigation potential from natural climate solutions in the tropics. Philos. Trans. R. Soc. Lond. B 375, 20190126 (2020). (PMID: 10.1098/rstb.2019.0126)
Potapov, P., Laestadius, L. & Minnemeyer, S. Global Map of Potential Forest Cover www.wri.org/resources/maps/atlas-forest-and-landscape-restoration-opportunities/data-info (2011).
Busch, J. et al. Potential for low-cost carbon dioxide removal through tropical reforestation. Nat. Clim. Change 9, 463–466 (2019). (PMID: 10.1038/s41558-019-0485-x)
Brancalion, P. H. S. et al. Global restoration opportunities in tropical rainforest landscapes. Sci. Adv. 5, eaav3223 (2019). (PMID: 31281881660921910.1126/sciadv.aav3223)
Schultz, B. et al. Recognizing the equity implications of restoration priority maps. Environ. Res. Lett. 17, 114019 (2022). (PMID: 10.1088/1748-9326/ac9918)
Streck, C. REDD+ and leakage: debunking myths and promoting integrated solutions. Clim. Policy 21, 843–852 (2021). (PMID: 10.1080/14693062.2021.1920363)
Meyfroidt, P. & Lambin, E. F. Global forest transition: prospects for an end to deforestation. Annu. Rev. Environ. Resour. 36, 343–371 (2011). (PMID: 10.1146/annurev-environ-090710-143732)
Crouzeilles, R. et al. Achieving cost‐effective landscape‐scale forest restoration through targeted natural regeneration. Conserv. Lett. 13, e12709 (2020).
Wang, Y. et al. High-resolution maps show that rubber causes substantial deforestation. Nature 623, 340–346 (2023). (PMID: 378531241063213010.1038/s41586-023-06642-z)
Olofsson, P. et al. Mitigating the effects of omission errors on area and area change estimates. Remote Sens. Environ. 236, 111492 (2020). (PMID: 10.1016/j.rse.2019.111492)
Dinerstein, E. et al. An ecoregion-based approach to protecting half the terrestrial realm. Bioscience 67, 534–545 (2017). (PMID: 28608869545128710.1093/biosci/bix014)
Land Cover CCI Product User Guide Version 2 Technical Report (ESA, 2017).
Liaw, A. & Wiener, M. Classification and regression by randomForest. R News 2, 18–22 (2002).
Ploton, P. et al. Spatial validation reveals poor predictive performance of large-scale ecological mapping models. Nat. Commun. 11, 4540 (2020). (PMID: 32917875748689410.1038/s41467-020-18321-y)
Database of Global Administrative Areas (GADM, 2022).
Cubina, A. & Aide, T. M. The effect of distance from forest edge on seed rain and soil seed bank in a tropical Pasture1. Biotropica 33, 260–267 (2001). (PMID: 10.1111/j.1744-7429.2001.tb00177.x)
ArcGIS (GIS software) v.10.8. (ESRI, 2022).
Algeet-Abarquero, N., Sánchez-Azofeifa, A., Bonatti, J. & Marchamalo, M. Land cover dynamics in Osa Region, Costa Rica: secondary forest is here to stay. Reg. Environ. Change 15, 1461–1472 (2015). (PMID: 10.1007/s10113-014-0714-9)
Protected Planet: The World Database on Protected Areas (WDPA) v.1.6 www.protectedplanet.net/en (UNEP-WCMC, IUCN, 2020).
Maxwell, S. L. et al. Area-based conservation in the twenty-first century. Nature 586, 217–227 (2020). (PMID: 3302899610.1038/s41586-020-2773-z)
Heneghan, L. et al. Integrating soil ecological knowledge into restoration management. Restor. Ecol. 16, 608–617 (2008). (PMID: 10.1111/j.1526-100X.2008.00477.x)
Hengl, T. et al. SoilGrids250m: global gridded soil information based on machine learning. PLoS ONE 12, e0169748 (2017). (PMID: 28207752531320610.1371/journal.pone.0169748)
Molin, P. G., Chazdon, R., Frosini de Barros Ferraz, S. & Brancalion, P. H. S. A landscape approach for cost‐effective large‐scale forest restoration. J. Appl. Ecol. 55, 2767–2778 (2018). (PMID: 10.1111/1365-2664.13263)
Farr, T. G. et al. The shuttle radar topography mission. Rev. Geophys. 45, RG2004 (2007).
Gorelick, N. et al. Google Earth Engine: planetary-scale geospatial analysis for everyone. Remote Sens. Environ. 202, 18–27 (2017). (PMID: 10.1016/j.rse.2017.06.031)
Zhao, M., Heinsch, F. A., Nemani, R. R. & Running, S. W. Improvements of the MODIS terrestrial gross and net primary production global data set. Remote Sens. Environ. 95, 164–176 (2005). (PMID: 10.1016/j.rse.2004.12.011)
Yackulic, C. B. et al. Biophysical and socioeconomic factors associated with forest transitions at multiple spatial and temporal scales. Ecol. Soc. 16, 15 (2011).
Fick, S. E. & Hijmans, R. J. WorldClim 2: new 1 km spatial resolution climate surfaces for global land areas. Int. J. Climatol. 37, 4302–4315 (2017). (PMID: 10.1002/joc.5086)
R Core Team. R: a Language and Environment for Statistical Computing (R Foundation for Statistical Computing, 2021).
Piffer, P. R., Rosa, M. R., Tambosi, L. R., Metzger, J. P. & Uriarte, M. Turnover rates of regenerated forests challenge restoration efforts in the Brazilian Atlantic forest. Environ. Res. Lett. 17, 045009 (2022). (PMID: 10.1088/1748-9326/ac5ae1)
Schiavina, M., Freire, S. & MacManus, K. GHS Population Grid Multitemporal (1975, 1990, 2000, 2015) R2019A (European Commission JRC, 2019).
Redo, D. J., Grau, H. R., Aide, T. M. & Clark, M. L. Asymmetric forest transition driven by the interaction of socioeconomic development and environmental heterogeneity in Central America. Proc. Natl Acad. Sci. USA 109, 8839–8844 (2012). (PMID: 22615408338415310.1073/pnas.1201664109)
Kummu, M., Taka, M. & Guillaume, J. H. A. Data from: Gridded global datasets for gross domestic product and human development index over 1990–2015, v2. Dryad https://doi.org/10.5061/dryad.dk1j0 (2020).
Thomlinson, J. R. et al. Land-use dynamics in a post-agricultural Puerto rican landscape (1936-1988). Biotropica 28, 525 (1996). (PMID: 10.2307/2389094)
Meijer, J. R., Huijbregts, M. A. J., Schotten, K. C. G. J. & Schipper, A. M. Global patterns of current and future road infrastructure. Environ. Res. Lett. 13, 064006 (2018). (PMID: 10.1088/1748-9326/aabd42)
Maillard, O. Post-fire natural regeneration trends in Bolivia: 2001–2021. Fire 6, 18 (2023). (PMID: 10.3390/fire6010018)
Scheper, A. C., Verweij, P. A. & van Kuijk, M. Post-fire forest restoration in the humid tropics: a synthesis of available strategies and knowledge gaps for effective restoration. Sci. Total Environ. 771, 144647 (2021). (PMID: 3373617710.1016/j.scitotenv.2020.144647)
Artés, T. et al. A global wildfire dataset for the analysis of fire regimes and fire behaviour. Sci. Data 6, 296 (2019). (PMID: 31784525688463310.1038/s41597-019-0312-2)
Kummu, M., de Moel, H., Ward, P. J. & Varis, O. How close do we live to water? A global analysis of population distance to freshwater bodies. PLoS ONE 6, e20578 (2011). (PMID: 21687675311078210.1371/journal.pone.0020578)
Williams, B. A. et al. Data for ‘Global potential for natural regeneration in deforested tropical regions’. Zenodo https://doi.org/10.5281/zenodo.7428803 (2024). - Publication Date: Date Created: 20241031 Date Completed: 20241205 Latest Revision: 20241211
- Publication Date: 20241211
- Accession Number: PMC11618091
- Accession Number: 10.1038/s41586-024-08106-4
- Accession Number: 39478216
- Source:
Contact CCPL
Copyright 2022 Charleston County Public Library Powered By EBSCO Stacks 3.3.0 [350.3] | Staff Login
No Comments.