Can people change the ecological rules that appear general across space

Aim Projections of human impact on the environment and biodiversity patterns are crucial if we are to prevent their destruction. Such projections usually involve the assumption that the same human activities always affect biodiversity in the same way, either in geographically distant areas within the same time-scale or in the same areas in different periods. In this paper, plant and snail fossils from central Europe that cover the last 12,000 years provide evidence against this assumption. Location Central Europe. Methods We examined fossil data on central European plants and snails and extracted time-series of (1) local species richness (alpha diversity) at a scale of approximately 300 m × 300 m and decays of (2) the Jaccard index and (3) Simpson's beta with increasing distance (up to approximately 400 km) through time. Results We show that two vital biodiversity patterns follow neither oxygen-isotope nor borehole temperature proxies, but instead vary between archaeologically known periods, with the most noticeable and irreversible breaks (1) when arable agriculture was introduced into central Europe, (2) when the Roman Empire collapsed, and (3) during the event known as the 12th-century colonization in central Europe. The patterns computed from data across time sometimes contradicted the patterns computed across space. Main conclusions We therefore infer that people can, and sometimes have, contributed to temporal changes in ecological rules that are seemingly general across space. Our findings indicate that the changes in ecological rules are so substantial that efforts to project future biodiversity based on space-for-time substitution might fail, unless we gain knowledge about how these general rules are altered.

[1]  T. Benton,et al.  Biodiversity tracks temperature over time , 2012, Proceedings of the National Academy of Sciences.

[2]  S. Ferrier,et al.  Modeling the climatic drivers of spatial patterns in vegetation composition since the Last Glacial Maximum , 2013 .

[3]  R. Waide,et al.  A comparison of the species–time relationship across ecosystems and taxonomic groups , 2006 .

[4]  E. Tjørve,et al.  The species-area relationship, self-similarity, and the true meaning of the z-value. , 2008, Ecology.

[5]  H. H. Birks,et al.  Climatic changes in areas adjacent to the North Atlantic during the last glacial-interglacial transition (14-9 ka BP): a contribution to IGCP-253 , 1994 .

[6]  J. Kerr,et al.  The Macroecological Contribution to Global Change Solutions , 2007, Science.

[7]  Simon Ferrier,et al.  Space can substitute for time in predicting climate-change effects on biodiversity , 2013, Proceedings of the National Academy of Sciences.

[8]  M. Blaauw Methods and code for 'classical' age-modelling of radiocarbon sequences. , 2010 .

[9]  B. Shuman Patterns, processes, and impacts of abrupt climate change in a warm world: the past 11,700 years , 2012 .

[10]  D. Wardle,et al.  The use of chronosequences in studies of ecological succession and soil development , 2010 .

[11]  M. Hájek,et al.  The origin and vegetation development of the Rejvíz pine bog and the history of the surrounding landscape during the Holocene , 2010 .

[12]  Shaopeng Huang,et al.  A late Quaternary climate reconstruction based on borehole heat flux data, borehole temperature data, and the instrumental record , 2008 .

[13]  V. Ložek,et al.  List of malacologically treated Holocene sites with brief review of palaeomalacological research in the Czech and Slovak Republics , 2015 .

[14]  Roger Mundry,et al.  Stepwise Model Fitting and Statistical Inference: Turning Noise into Signal Pollution , 2008, The American Naturalist.

[15]  Kevin J. Gaston,et al.  The geographical structure of British bird distributions: diversity, spatial turnover and scale , 2001 .

[16]  Miska Luoto,et al.  Testing species distribution models across space and time: high latitude butterflies and recent warming , 2013 .

[17]  C. Badgley,et al.  Flat latitudinal gradient in Paleocene mammal richness suggests decoupling of climate and biodiversity , 2011 .

[18]  L. Jost,et al.  Independence of alpha and beta diversities. , 2010, Ecology.

[19]  J. Kerr,et al.  Historically calibrated predictions of butterfly species' range shift using global change as a pseudo-experiment. , 2009, Ecology.

[20]  David Storch,et al.  Power‐law species–area relationships and self‐similar species distributions within finite areas , 2004 .

[21]  Heidi Cullen,et al.  A Pervasive Millennial-Scale Cycle in North Atlantic Holocene and Glacial Climates , 1997 .

[22]  R. Gorelick,et al.  Mean Annual Precipitation Explains Spatiotemporal Patterns of Cenozoic Mammal Beta Diversity and Latitudinal Diversity Gradients in North America , 2014, PloS one.

[23]  C. N. Roterman,et al.  Chirostyloidea(十脚目: 異尾類)の系統発生に関する注釈を伴うイエティガニ(Kiwaidae)の生物地理学 , 2013 .

[24]  R. Alley,et al.  Comparison of deep ice cores , 1995, Nature.

[25]  Mollie E. Brooks,et al.  Generalized linear mixed models: a practical guide for ecology and evolution. , 2009, Trends in ecology & evolution.

[26]  Andrea Rinaldo,et al.  Predicting spatial similarity of freshwater fish biodiversity , 2009, Proceedings of the National Academy of Sciences.

[27]  J. W. Valentine,et al.  Nonlinear thermal gradients shape broad-scale patterns in geographic range size and can reverse Rapoport's rule , 2015 .

[28]  G. Skrzypek,et al.  Analogous trends in pollen percentages and carbon stable isotope composition of Holocene peat - possible interpretation for palaeoclimate studies. , 2009 .

[29]  J. Kerr,et al.  Predicting future shifts in species diversity , 2009 .

[30]  J. Lawton Are there general laws in ecology , 1999 .

[31]  John E. Kutzbach,et al.  Projected distributions of novel and disappearing climates by 2100 AD , 2006, Proceedings of the National Academy of Sciences.

[32]  Ingolf Kühn,et al.  Patterns of beta diversity in Europe: the role of climate, land cover and distance across scales , 2012 .

[33]  J. Svenning,et al.  Historic and prehistoric human‐driven extinctions have reshaped global mammal diversity patterns , 2015 .

[34]  Anne E. Magurran,et al.  Quantifying temporal change in biodiversity: challenges and opportunities , 2013, Proceedings of the Royal Society B: Biological Sciences.

[35]  Jonathan D. G. Jones,et al.  Assemblage Time Series Reveal Biodiversity Change but Not Systematic Loss , 2018 .

[36]  J. Donnelly,et al.  Abrupt climate change as an important agent of ecological change in the Northeast U.S. throughout the past 15,000 years , 2009 .

[37]  S. Gould Is uniformitarianism necessary , 1965 .

[38]  M. Hooten,et al.  On the use of log-transformation vs. nonlinear regression for analyzing biological power laws. , 2011, Ecology.

[39]  J. Lockwood,et al.  Biotic homogenization: a few winners replacing many losers in the next mass extinction. , 1999, Trends in ecology & evolution.

[40]  James H. Brown Why are there so many species in the tropics? , 2013, Journal of biogeography.

[41]  K. Willis,et al.  Post‐glacial patterns in vegetation dynamics in Romania: homogenization or differentiation? , 2010 .

[42]  P. Pokorný,et al.  Detection of the impact of early Holocene hunter-gatherers on vegetation in the Czech Republic, using multivariate analysis of pollen data , 2008 .

[43]  P. Raven,et al.  Biodiversity: Extinction by numbers , 2000, Nature.

[44]  Richard Field,et al.  Predictions and tests of climate‐based hypotheses of broad‐scale variation in taxonomic richness , 2004 .

[45]  J. W. Valentine,et al.  Out of the Tropics: Evolutionary Dynamics of the Latitudinal Diversity Gradient , 2006, Science.

[46]  Y. Bergeron,et al.  Disentangling the trajectories of alpha, beta and gamma plant diversity of North American boreal ecoregions since 15,500 years , 2014, Front. Ecol. Evol..

[47]  H. Hillebrand,et al.  The imprint of the geographical, evolutionary and ecological context on species-area relationships. , 2006, Ecology letters.

[48]  U. Cubasch,et al.  Mid- to Late Holocene climate change: an overview , 2008 .

[49]  D. Storch,et al.  The Concept of Taxon Invariance in Ecology: Do Diversity Patterns Vary with Changes in Taxonomic Resolution? , 2008, Folia Geobotanica.

[50]  D. Jablonski,et al.  Do past climate states influence diversity dynamics and the present‐day latitudinal diversity gradient? , 2014 .

[51]  K. Gaston,et al.  Species abundance distribution results from a spatial analogy of central limit theorem , 2009, Proceedings of the National Academy of Sciences.

[52]  D. Storch,et al.  Between Geometry and Biology: The Problem of Universality of the Species-Area Relationship , 2011, The American Naturalist.

[53]  Jürgen Hahne Untersuchungen zur spät- und postglazialen Vegetationsgeschichte im nordöstlichen Bayern (Bayerisches Vogtland, Fichtelgebirge, Steinwald) , 1992 .

[54]  S. K. Lyons,et al.  Holocene shifts in the assembly of plant and animal communities implicate human impacts , 2015, Nature.

[55]  J. Harte,et al.  Biodiversity scales from plots to biomes with a universal species-area curve. , 2009, Ecology letters.

[56]  David Storch,et al.  The species-area-energy relationship. , 2005, Ecology letters.

[57]  J. Kerr,et al.  Predicting the impacts of global change on species, communities and ecosystems: it takes time , 2013 .

[58]  O. Kovárík,et al.  : Czech Quaternary Palynological Database - PALYCZ: review andbasic statistics of the data , 2009 .

[59]  M. Sykes,et al.  Climate change threats to plant diversity in Europe. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[60]  Hanna Tuomisto,et al.  A diversity of beta diversities: straightening up a concept gone awry. Part 2. Quantifying beta diversity and related phenomena , 2010 .

[61]  K. Gaston,et al.  The relationships between local and regional species richness and spatial turnover , 2002 .

[62]  P. Upchurch,et al.  The latitudinal biodiversity gradient through deep time. , 2014, Trends in ecology & evolution.

[63]  J. Kerr,et al.  Contrasting spatial and temporal global change impacts on butterfly species richness during the 20th century , 2006 .

[64]  P. White,et al.  The distance decay of similarity in biogeography and ecology , 1999 .

[65]  S. David,et al.  Scaling Biodiversity: Geometry of species distributions: random clustering and scale invariance , 2007 .

[66]  A. Tomašových,et al.  Predicting the effects of increasing temporal scale on species composition, diversity, and rank-abundance distributions , 2010, Paleobiology.

[67]  K. Gaston,et al.  Scaling Biodiversity: The scaling of spatial turnover: pruning the thicket , 2007 .

[68]  Eric Young,et al.  Predicting the future of species diversity: macroecological theory, climate change, and direct tests of alternative forecasting methods , 2009 .

[69]  J. Diniz‐Filho,et al.  Spatial autocorrelation and red herrings in geographical ecology , 2003 .

[70]  M. Gaillard,et al.  Relevant Source Area of Pollen in patchy cultural landscapes and signals of anthropogenic landscape disturbance in the pollen record: A simulation approach , 2009 .

[71]  Robert P Freckleton,et al.  Why do we still use stepwise modelling in ecology and behaviour? , 2006, The Journal of animal ecology.