Downloads provided by UsageCounts
{"references": ["Chevalier, M., 2019. Enabling possibilities to quantify past climate from fossil assemblages at a global scale. Glob. Planet. Change 175, 27\u201335. doi:10.1016/j.gloplacha.2019.01.016", "Chevalier, M., Cheddadi, R., Chase, B.M., 2014. CREST (Climate REconstruction SofTware): a probability density function (PDF)-based quantitative climate reconstruction method. Clim. Past 10, 2081\u20132098. doi:10.5194/cp-10-2081-2014", "Chevalier, M., 2018. GBIF database for CREST. doi:10.6084/m9.figshare.6743207", "Fick, S.E., Hijmans, R.J., 2017. WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas. Int. J. Climatol. 37, 4302\u20134315. doi:10.1002/joc.5086", "Trabucco, A., Zomer, R.J., Bossio, D.A., van Straaten, O., Verchot, L. V., 2008. Climate change mitigation through afforestation/reforestation: A global analysis of hydrologic impacts with four case studies. Agric. Ecosyst. Environ. 126, 81\u201397. doi:10.1016/j.agee.2008.01.015", "Trabucco, A., Zomer, R.J., 2019. Global Aridity Index and Potential Evapotranspiration (ET0) Climate Database v2. doi:10.6084/m9.figshare.7504448.v3", "Olson, D. M., Dinerstein, E., Wikramanayake, E. D., Burgess, N. D., Powell, G. V. N., Underwood, E. C., D'amico, J. A., Itoua, I., Strand, H. E., Morrison, J. C., Loucks, C. J., Allnutt, T. F., Ricketts, T. H., Kura, Y., Lam- oreux, J. F., Wettengel, W. W., Hedao, P., and Kassem, K. R.: Terrestrial ecoregions of the world a new map of life on Earth, BioScience, 51, 933\u2013938, 2001.", "GBIF: Global Biodiversity Information Facility [WWW Document], 2018. URL https://www.gbif.org", "GBIF.org, 2020a. Anthocerotopsida occurrence data downloaded on September 24th, 2020. doi:10.15468/dl.t9zenf", "GBIF.org, 2020b. Cycadopsidae occurrence data downloaded on September 24th, 2020. doi:10.15468/dl.sfjzxu", "GBIF.org, 2020c. Liliopsida occurrence data downloaded on September 24th, 2020. doi:10.15468/dl.axv3yd", "GBIF.org, 2020d. Polypodiopsida occurrence data downloaded on September 24th, 2020. doi:10.15468/dl.87tbp6", "GBIF.org, 2020e. Gnetopsidae occurrence data downloaded on September 24th, 2020. doi:10.15468/dl.h2kjnc", "GBIF.org, 2020f. Gingkoopsidae occurrence data downloaded on September 24th, 2020. doi:10.15468/dl.da9wz8", "GBIF.org, 2020g. Pinopsidae occurrence data downloaded on September 24th, 2020. doi:10.15468/dl.x2r7pa", "GBIF.org, 2020h. Magnoliopsida occurrence data downloaded on September 24th, 2020. doi:10.15468/dl.ra49dt", "GBIF.org, 2020i. Lycopodiopsida occurrence data downloaded on September 24th, 2020. doi:10.15468/dl.ydhyhz"]}
Interpretations of fossil pollen data are often limited to broad, qualitative assessments of past climatic and environmental conditions (e.g. colder vs. warmer, wetter vs. drier, open vs. closed landscape). These assessments can be particularly imprecise in regions such as southern Africa, where botanical biodiversity is high, and there exists an associated uncertainty regarding the climatic/environmental sensitivities of the plants contributing to a given pollen type. This atlas addresses this limitation by characterising the climate sensitivities of the 140 pollen morphotypes most often recorded in late Quaternary palaeoecology studies in southern Africa, relying on their parent plant distributions as one of the basic factors that determine their presence. The atlas is designed as a suite of graphical diagnostic tools and photographs together with analyses of the modern geographical distribution of more than 22,000 plant species to identify their primary climatic sensitivities across southern Africa. Together, the elements included span the complete workflow from pollen identification through interpretation and climate reconstruction.
gbif, plant distributions, crest, Pollen, pdf, Southern Africa, climate, palaeoclimate, late Quaternary
gbif, plant distributions, crest, Pollen, pdf, Southern Africa, climate, palaeoclimate, late Quaternary
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 55 | |
| downloads | 434 |

Views provided by UsageCounts
Downloads provided by UsageCounts