Relationships between species richness and ecosystem services in Amazonian forests strongly influenced by biogeographical strata and forest types.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
08 04 2022
Historique:
received: 17 12 2021
accepted: 28 03 2022
entrez: 9 4 2022
pubmed: 10 4 2022
medline: 13 4 2022
Statut: epublish

Résumé

Despite increasing attention for relationships between species richness and ecosystem services, for tropical forests such relationships are still under discussion. Contradicting relationships have been reported concerning carbon stock, while little is known about relationships concerning timber stock and the abundance of non-timber forest product producing plant species (NTFP abundance). Using 151 1-ha plots, we related tree and arborescent palm species richness to carbon stock, timber stock and NTFP abundance across the Guiana Shield, and using 283 1-ha plots, to carbon stock across all of Amazonia. We analysed how environmental heterogeneity influenced these relationships, assessing differences across and within multiple forest types, biogeographic regions and subregions. Species richness showed significant relationships with all three ecosystem services, but relationships differed between forest types and among biogeographical strata. We found that species richness was positively associated to carbon stock in all biogeographical strata. This association became obscured by variation across biogeographical regions at the scale of Amazonia, resembling a Simpson's paradox. By contrast, species richness was weakly or not significantly related to timber stock and NTFP abundance, suggesting that species richness is not a good predictor for these ecosystem services. Our findings illustrate the importance of environmental stratification in analysing biodiversity-ecosystem services relationships.

Identifiants

pubmed: 35395860
doi: 10.1038/s41598-022-09786-6
pii: 10.1038/s41598-022-09786-6
pmc: PMC8993798
doi:

Substances chimiques

Carbon 7440-44-0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

5960

Informations de copyright

© 2022. The Author(s).

Références

Myers, N., Mittermeier, R. A., Mittermeier, C. G., da Fonseca, G. A. B. & Kent, J. Biodiversity hotspots for conservation priorities. Nature 403, 853–858 (2000).
pubmed: 10706275 doi: 10.1038/35002501
Liu, Y. Y. et al. Recent reversal in loss of global terrestrial biomass. Nat. Clim. Change 5, 470–474 (2015).
doi: 10.1038/nclimate2581
Putz, F. E. et al. Sustaining conservation values in selectively logged tropical forests: the attained and the attainable. Conserv. Lett. 5, 296–303 (2012).
doi: 10.1111/j.1755-263X.2012.00242.x
Ros-Tonen, M. A. F. & Wiersum, K. F. The scope for improving rural livelihoods through non-timber forest products: an evolving research agenda. For. Trees Livelihoods 15, 129–148 (2005).
doi: 10.1080/14728028.2005.9752516
Mitchard, E. T. A. The tropical forest carbon cycle and climate change. Nature 559, 527–534 (2018).
pubmed: 30046067 doi: 10.1038/s41586-018-0300-2
Steur, G., Verburg, R. W., Wassen, M. J. & Verweij, P. A. Shedding light on relationships between plant diversity and tropical forest ecosystem services across spatial scales and plot sizes. Ecosyst. Serv. 43, 101107 (2020).
doi: 10.1016/j.ecoser.2020.101107
Quijas, S. et al. Linking biodiversity, ecosystem services, and beneficiaries of tropical dry forests of Latin America: Review and new perspectives. Ecosyst. Serv. 36, 100909 (2019).
doi: 10.1016/j.ecoser.2019.100909
Barlow, J. et al. The future of hyperdiverse tropical ecosystems. Nature 559, 517–526 (2018).
pubmed: 30046075 doi: 10.1038/s41586-018-0301-1
Phelps, J., Webb, E. L. & Adams, W. M. Biodiversity co-benefits of policies to reduce forest-carbon emissions. Nat. Clim. Change 2, 497–503 (2012).
doi: 10.1038/nclimate1462
Tilman, D., Lehman, C. L. & Thomson, K. T. Plant diversity and ecosystem productivity: theoretical considerations. Proc. Natl. Acad. Sci. 94, 1857–1861 (1997).
pubmed: 11038606 pmcid: 20007 doi: 10.1073/pnas.94.5.1857
Poorter, L. et al. Diversity enhances carbon storage in tropical forests. Glob. Ecol. Biogeogr. 24, 1314–1328 (2015).
doi: 10.1111/geb.12364
Shen, Y. et al. Tree aboveground carbon storage correlates with environmental gradients and functional diversity in a tropical forest. Sci. Rep. 6, 1–10 (2016).
Sullivan, M. J. P. P. et al. Diversity and carbon storage across the tropical forest biome. Sci. Rep. 7, 39102 (2017).
pubmed: 28094794 pmcid: 5240619 doi: 10.1038/srep39102
van der Sande, M. T. et al. Biodiversity in species, traits, and structure determines carbon stocks and uptake in tropical forests. Biotropica 49, 593–603 (2017).
doi: 10.1111/btp.12453
Yachi, S. & Loreau, M. Biodiversity and ecosystem productivity in a fluctuating environment: the insurance hypothesis. Proc. Natl. Acad. Sci. U. S. A. 96, 1463–1468 (1999).
pubmed: 9990046 pmcid: 15485 doi: 10.1073/pnas.96.4.1463
Cardinale, B. J. et al. Biodiversity loss and its impact on humanity. Nature 486, 59–67 (2012).
pubmed: 22678280 doi: 10.1038/nature11148
Isbell, F. et al. High plant diversity is needed to maintain ecosystem services. Nature 477, 199–202 (2011).
pubmed: 21832994 doi: 10.1038/nature10282
Gamfeldt, L. et al. Higher levels of multiple ecosystem services are found in forests with more tree species. Nat. Commun. 4, 1340 (2013).
pubmed: 23299890 doi: 10.1038/ncomms2328
Chisholm, R. A. et al. Scale-dependent relationships between tree species richness and ecosystem function in forests. J. Ecol. 101, 1214–1224 (2013).
doi: 10.1111/1365-2745.12132
Bravo-Oviedo, A., Kastendick, D. N., Alberdi, I. & Woodall, C. W. Similar tree species richness-productivity response but differing effects on carbon stocks and timber production in eastern US and continental Spain. Sci. Total Environ. 793, 148399 (2021).
pubmed: 34171808 doi: 10.1016/j.scitotenv.2021.148399
Aldana, A. M. et al. Drivers of biomass stocks in Northwestern South American forests: contributing new information on the Neotropics. For. Ecol. Manage 389, 86–95 (2017).
doi: 10.1016/j.foreco.2016.12.023
Gonzalez, P., Kroll, B. & Vargas, C. R. Tropical rainforest biodiversity and aboveground carbon changes and uncertainties in the Selva Central Peru. For. Ecol. Manage 312, 78–91 (2014).
doi: 10.1016/j.foreco.2013.10.019
Ruiz-Jaen, M. C. & Potvin, C. Can we predict carbon stocks in tropical ecosystems from tree diversity? Comparing species and functional diversity in a plantation and a natural forest. New Phytol. 189, 978–987 (2011).
pubmed: 20958305 doi: 10.1111/j.1469-8137.2010.03501.x
Steur, G., Verburg, R. W., Wassen, M. J., Teunissen, P. A. & Verweij, P. A. Exploring relationships between abundance of non-timber forest product species and tropical forest plant diversity. Ecol. Ind. 121, 107202 (2021).
doi: 10.1016/j.ecolind.2020.107202
Stropp, J., Ter Steege, H. & Malhi, Y. Disentangling regional and local tree diversity in the Amazon. Ecography (Cop.) 32, 46–54 (2009).
doi: 10.1111/j.1600-0587.2009.05811.x
Hawes, J. E., Peres, C. A., Riley, L. B. & Hess, L. L. Landscape-scale variation in structure and biomass of Amazonian seasonally flooded and unflooded forests. For. Ecol. Manage 281, 163–176 (2012).
doi: 10.1016/j.foreco.2012.06.023
Quesada, C. A. et al. Basin-wide variations in Amazon forest structure and function are mediated by both soils and climate. Biogeosciences 9, 2203–2246 (2012).
doi: 10.5194/bg-9-2203-2012
ter Steege, H. et al. Continental-scale patterns of canopy tree composition and function across Amazonia. Nature 443, 444–447 (2006).
pubmed: 17006512 doi: 10.1038/nature05134
Mitchard, E. T. A. et al. Markedly divergent estimates of Amazon forest carbon density from ground plots and satellites. Glob. Ecol. Biogeogr. 23, 935–946 (2014).
pubmed: 26430387 pmcid: 4579864 doi: 10.1111/geb.12168
Stropp, J. Towards an Understanding of Tree Diversity. (PhD Thesis Utrecht University. ISBN:9789039355268, 2011).
Slik, J. W. F. et al. Large trees drive forest aboveground biomass variation in moist lowland forests across the tropics. Glob. Ecol. Biogeogr. 22, 1261–1271 (2013).
doi: 10.1111/geb.12092
ter Steege, H. et al. Rarity of monodominance in hyperdiverse Amazonian forests. Sci. Rep. 9, 13822 (2019).
pubmed: 31554920 pmcid: 6761143 doi: 10.1038/s41598-019-50323-9
Finegan, B. et al. Does functional trait diversity predict above-ground biomass and productivity of tropical forests? Testing three alternative hypotheses. J. Ecol. 103, 191–201 (2015).
doi: 10.1111/1365-2745.12346
Simpson, E. H. The Interpretation of interaction in contingency tables. J. R. Stat. Soc. 13, 238–241 (1951).
Quesada, C. A. et al. Soils of Amazonia with particular reference to the RAINFOR sites. Biogeosciences 8, 1415–1440 (2011).
doi: 10.5194/bg-8-1415-2011
Piponiot, C. et al. Can timber provision from Amazonian production forests be sustainable?. Environ. Res. Lett. 14, 64014 (2019).
doi: 10.1088/1748-9326/ab195e
Selaya, N. G. et al. Economically important species dominate aboveground carbon storage in forests of southwestern Amazonia. Ecol. Soc. 22, art40 (2017).
Strand, J. et al. Spatially explicit valuation of the Brazilian Amazon Forest’s Ecosystem Services. Nat. Sustain. 1, 657–664 (2018).
doi: 10.1038/s41893-018-0175-0
van Andel, T. R., Bánki, O. S. & Mackinven, A. Commercial Non-Timber Forest Products of the Guiana Shield - An inventory of commercial NTFP extraction. https://portals.iucn.org/library/node/8319 (2003).
Baraloto, C. et al. Trade-offs among forest value components in community forests of southwestern Amazonia. Ecol. Soc. 19, (2014).
Oldekop, J. A., Holmes, G., Harris, W. E. & Evans, K. L. A global assessment of the social and conservation outcomes of protected areas. Conserv. Biol. 30, 133–141 (2016).
pubmed: 26096222 doi: 10.1111/cobi.12568
Areendran, G. et al. A systematic review on high conservation value assessment (HCVs): challenges and framework for future research on conservation strategy. Sci. Total Environ. 709, 135425 (2020).
pubmed: 31884271 doi: 10.1016/j.scitotenv.2019.135425
R Core Team. R: A Language and Environment for Statistical Computing. (2020).
Stöckli, R., Vermote, E., Saleous, N., Simmon, R. & Herring, R. The Blue Marble Next Generation - A true color earth dataset including seasonal dynamics from MODIS. (2005). https://visibleearth.nasa.gov/images/74218/december-blue-marble-next-generation/74219l
ter Steege, H. et al. Hyperdominance in the Amazonian tree flora. Science (80-) 342, 1243092 (2013).
doi: 10.1126/science.1243092
ter Steege, H. & Zondervan, G. A preliminary analysis of large-scale forest inventory data of the Guiana Shield. In Plant diversity in Guyana. With recommendation for a protected areas strategy (ed. Ter Steege, H.) 35–54 (Wageningen, Tropenbos Foundation, 2000). https://doi.org/10.1007/s117-002-8112-z .
doi: 10.1007/s117-002-8112-z
ter Steege, H. et al. Towards a dynamic list of Amazonian tree species. Sci. Rep. 9, 3501 (2019).
pubmed: 30837572 pmcid: 6401171 doi: 10.1038/s41598-019-40101-y
Chave, J. et al. Improved allometric models to estimate the aboveground biomass of tropical trees. Glob. Change Biol. 20, 3177–3190 (2014).
doi: 10.1111/gcb.12629
Feldpausch, T. R. et al. Tree height integrated into pantropical forest biomass estimates. Biogeosciences 9, 3381–3403 (2012).
doi: 10.5194/bg-9-3381-2012
Chave, J. et al. Towards a worldwide wood economics spectrum. Ecol. Lett. 12, 351–366 (2009).
pubmed: 19243406 doi: 10.1111/j.1461-0248.2009.01285.x
Chave, J. et al. Tree allometry and improved estimation of carbon stocks and balance in tropical forests. Oecologia 145, 87–99 (2005).
pubmed: 15971085 doi: 10.1007/s00442-005-0100-x
Crawley, M. J. Statistics—an introduction using R (John Wiley & Sons Inc., New Jersey, 2015). https://doi.org/10.1002/9781119941750 .
doi: 10.1002/9781119941750
Lindeman, R. H., Merenda, P. F. & Gold, R. Z. Introduction to bivariate and multivariate analysis (Glenview, IL, Scott, Foresman and Comp, 1980).

Auteurs

Gijs Steur (G)

Copernicus Institute of Sustainable Development, Utrecht University, Utrecht, The Netherlands. g.steur@uu.nl.
Utrecht University Botanic Gardens, Utrecht, The Netherlands. g.steur@uu.nl.

Hans Ter Steege (H)

Naturalis Biodiversity Center, Leiden, The Netherlands.
Systems Ecology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.

René W Verburg (RW)

Copernicus Institute of Sustainable Development, Utrecht University, Utrecht, The Netherlands.

Daniel Sabatier (D)

AMAP, IRD, Cirad, CNRS, INRAE, Université de Montpellier, Montpellier, France.

Jean-François Molino (JF)

AMAP, IRD, Cirad, CNRS, INRAE, Université de Montpellier, Montpellier, France.

Olaf S Bánki (OS)

Naturalis Biodiversity Center, Leiden, The Netherlands.

Hernan Castellanos (H)

Universidad Nacional Experimental de Guayana, Puerto Ordaz, Bolivar, Venezuela.

Juliana Stropp (J)

Museo Nacional de Ciencias Naturales, Madrid, Spain.

Émile Fonty (É)

AMAP, IRD, Cirad, CNRS, INRAE, Université de Montpellier, Montpellier, France.
Direction Régionale de La Guyane, ONF, Cayenne, French Guiana.

Sofie Ruysschaert (S)

Ghent University, Ghent, Belgium.

David Galbraith (D)

University of Leeds, Leeds, UK.

Michelle Kalamandeen (M)

University of Cambridge, Cambridge, UK.
Living with Lakes Centre, Laurentian University, Sudbury, ON, Canada.

Tinde R van Andel (TR)

Naturalis Biodiversity Center, Leiden, The Netherlands.
Biosystematics group, Wageningen University, Wageningen, The Netherlands.

Roel Brienen (R)

University of Leeds, Leeds, UK.

Oliver L Phillips (OL)

University of Leeds, Leeds, UK.

Kenneth J Feeley (KJ)

University of Miami, Coral Gables, USA.
Fairchild Tropical Botanic Garden, Coral Gables, FL, USA.

John Terborgh (J)

University of Florida, Gainesville, USA.
Centre for Tropical Environmental and Sustainability Science and College of Science and Engineering, James Cook University, Cairns, QLD, Australia.

Pita A Verweij (PA)

Copernicus Institute of Sustainable Development, Utrecht University, Utrecht, The Netherlands.

Articles similaires

India Carbon Sequestration Environmental Monitoring Carbon Biomass
Lakes Salinity Archaea Bacteria Microbiota
Rivers Turkey Biodiversity Environmental Monitoring Animals
1.00
Iran Environmental Monitoring Seasons Ecosystem Forests

Classifications MeSH