Climate change both facilitates and inhibits invasive plant ranges in New England

Significance Invasive species are often expected to benefit from novel conditions encountered with global change. Our range models based on demography show that invasive Alliaria petiolata (garlic mustard) may have much lower establishment in New England under future climate, despite prolific success under current climate, whereas other invasive and native plants may expand their ranges. Forecasts suggest that management should focus on inhibiting northward spread of A. petiolata into unoccupied areas and understanding source–sink population dynamics and how community dynamics might respond to loss of A. petiolata (it modifies soil properties). Our methods illustrate inadequacy of current approaches to forecasting invasions in progress, which are based on correlations between species’ occurrence and environment and illustrate critical need for mechanistic studies. Forecasting ecological responses to climate change, invasion, and their interaction must rely on understanding underlying mechanisms. However, such forecasts require extrapolation into new locations and environments. We linked demography and environment using experimental biogeography to forecast invasive and native species’ potential ranges under present and future climate in New England, United States to overcome issues of extrapolation in novel environments. We studied two potentially nonequilibrium invasive plants’ distributions, Alliaria petiolata (garlic mustard) and Berberis thunbergii (Japanese barberry), each paired with their native ecological analogs to better understand demographic drivers of invasions. Our models predict that climate change will considerably reduce establishment of a currently prolific invader (A. petiolata) throughout New England driven by poor demographic performance in warmer climates. In contrast, invasion of B. thunbergii will be facilitated because of higher growth and germination in warmer climates, with higher likelihood to establish farther north and in closed canopy habitats in the south. Invasion success is in high fecundity for both invasive species and demographic compensation for A. petiolata relative to native analogs. For A. petiolata, simulations suggest that eradication efforts would require unrealistic efficiency; hence, management should focus on inhibiting spread into colder, currently unoccupied areas, understanding source–sink dynamics, and understanding community dynamics should A. petiolata (which is allelopathic) decline. Our results—based on considerable differences with correlative occurrence models typically used for such biogeographic forecasts—suggest the urgency of incorporating mechanism into range forecasting and invasion management to understand how climate change may alter current invasion patterns.

[1]  H. Pulliam On the relationship between niche and distribution , 2000 .

[2]  Norman A. Bourg,et al.  Nonconsumptive effects of a generalist ungulate herbivore drive decline of unpalatable forest herbs. , 2010, Ecology.

[3]  Brian C. McCarthy,et al.  Responses of the biennial forest herb Alliaria petiolata to variation in population density, nutrient addition and light availability , 2000 .

[4]  L. Birch,et al.  Experimental Background to the Study of the Distribution and Abundance of Insects: I. The Influence of Temperature, Moisture and Food on the Innate Capacity for Increase of Three Grain Beetles , 1953 .

[5]  John A. Silander,et al.  The role of land-use history in major invasions by woody plant species in the northeastern North American landscape , 2009, Biological Invasions.

[6]  V. Nuzzo Invasion Pattern of Herb Garlic Mustard (Alliaria petiolata) in High Quality Forests , 2004, Biological Invasions.

[7]  Ted Hart,et al.  Interface to Species Occurrence Data Sources , 2016 .

[8]  H. Pulliam,et al.  Probabilistic and spatially variable niches inferred from demography , 2014 .

[9]  Jane Elith,et al.  What do we gain from simplicity versus complexity in species distribution models , 2014 .

[10]  Usda Nrcs The PLANTS Database , 2015 .

[11]  Vikki L. Rodgers,et al.  Ready or Not, Garlic Mustard Is Moving In: Alliaria petiolata as a Member of Eastern North American Forests , 2008 .

[12]  J. Ehrenfeld Structure and Dynamics of Populations of Japanese Barberry (Berberis Thunbergii DC.) in Deciduous Forests of New Jersey , 1999, Biological Invasions.

[13]  Bethany A. Bradley,et al.  Out of the weeds? Reduced plant invasion risk with climate change in the continental United States , 2016 .

[14]  C. Plutzar,et al.  Extinction debt of high-mountain plants under twenty-first-century climate change , 2012 .

[15]  Cory Merow,et al.  Developing Dynamic Mechanistic Species Distribution Models: Predicting Bird-Mediated Spread of Invasive Plants across Northeastern North America , 2011, The American Naturalist.

[16]  Damaris Zurell,et al.  Does probability of occurrence relate to population dynamics? , 2014, Ecography.

[17]  Finite-Sample Equivalence of Several Statistical Models for Presence-Only Data , 2012 .

[18]  T. Hastie,et al.  Finite-Sample Equivalence in Statistical Models for Presence-Only Data. , 2012, The annals of applied statistics.

[19]  Boris Schröder,et al.  How to understand species’ niches and range dynamics: a demographic research agenda for biogeography , 2012 .

[20]  M. Oppenheimer,et al.  Climate change increases risk of plant invasion in the Eastern United States , 2009, Biological Invasions.

[21]  M. Kearney,et al.  Mechanistic niche modelling: combining physiological and spatial data to predict species' ranges. , 2009, Ecology letters.

[22]  M. Brand,et al.  Four Cultivars of Japanese Barberry Demonstrate Differential Reproductive Potential under Landscape Conditions , 2006 .

[23]  David S Wilcove,et al.  Predicting plant invasions in an era of global change. , 2010, Trends in ecology & evolution.

[24]  Martha M. Ellis,et al.  Ability of Matrix Models to Explain the Past and Predict the Future of Plant Populations , 2013, Conservation biology : the journal of the Society for Conservation Biology.

[25]  C. Kolar,et al.  Progress in invasion biology: predicting invaders. , 2001, Trends in ecology & evolution.

[26]  P. Newton,et al.  Warming and free-air CO2 enrichment alter demographics in four co-occurring grassland species. , 2007, The New phytologist.

[27]  T. Knight,et al.  Will the use of Less Fecund Cultivars Reduce the Invasiveness of Perennial Plants? , 2011 .

[28]  A M Latimer,et al.  Hierarchical models facilitate spatial analysis of large data sets: a case study on invasive plant species in the northeastern United States. , 2009, Ecology letters.

[29]  S. Kalisz,et al.  In a long-term experimental demography study, excluding ungulates reversed invader's explosive population growth rate and restored natives , 2014, Proceedings of the National Academy of Sciences.

[30]  I. Ibáñez,et al.  EXPLOITING TEMPORAL VARIABILITY TO UNDERSTAND TREE RECRUITMENT RESPONSE TO CLIMATE CHANGE , 2007 .

[31]  H. Caswell Matrix population models : construction, analysis, and interpretation , 2001 .

[32]  John A. Silander,et al.  A comparison of Maxlike and Maxent for modelling species distributions , 2014 .

[33]  John A Silander,et al.  Multivariate forecasts of potential distributions of invasive plant species. , 2009, Ecological applications : a publication of the Ecological Society of America.

[34]  J. Olden,et al.  Integrated assessment of biological invasions. , 2014, Ecological applications : a publication of the Ecological Society of America.

[35]  M. Brand,et al.  Fecundity of Japanese Barberry (Berberis thunbergii) Cultivars and Their Ability to Invade a Deciduous Woodland , 2012, Invasive Plant Science and Management.

[36]  Robert P. Anderson,et al.  Maximum entropy modeling of species geographic distributions , 2006 .

[37]  Wilfried Thuiller,et al.  Consequences of climate change on the tree of life in Europe , 2011, Nature.

[38]  J. Olden,et al.  Will Extreme Climatic Events Facilitate Biological Invasions , 2012 .

[39]  S. Ellner,et al.  SIZE‐SPECIFIC SENSITIVITY: APPLYING A NEW STRUCTURED POPULATION MODEL , 2000 .

[40]  J. Silander,et al.  The Invasion Ecology of Japanese Barberry (Berberis thunbergii) in the New England Landscape , 1999, Biological Invasions.

[41]  E. Welk,et al.  Present and potential distribution of invasive garlic mustard (Alliaria petiolata) in North America , 2002 .

[42]  Gordon Morrison,et al.  New England Wild Flower Society's Flora Novae Angliae , 2011 .

[43]  M. Oppenheimer,et al.  Climate change and plant invasions: restoration opportunities ahead? , 2009 .

[44]  Greta Bocedi,et al.  RangeShifter: a platform for modelling spatial eco‐evolutionary dynamics and species' responses to environmental changes , 2014 .

[45]  T. Caughlin,et al.  Combining mesocosm and field experiments to predict invasive plant performance: a hierarchical Bayesian approach. , 2015, Ecology.

[46]  William F. Morris,et al.  Demographic compensation and tipping points in climate-induced range shifts , 2010, Nature.

[47]  Jonathan M. Chase,et al.  Complex population dynamics and control of the invasive biennial Alliaria petiolata (garlic mustard). , 2009, Ecological applications : a publication of the Ecological Society of America.

[48]  A. Latimer,et al.  Comparative performance of invasive and native Celastrus species across environmental gradients , 2007, Oecologia.

[49]  P. V. Tienderen,et al.  ELASTICITIES AND THE LINK BETWEEN DEMOGRAPHIC AND EVOLUTIONARY DYNAMICS , 2000 .

[50]  Cory Merow,et al.  Advancing population ecology with integral projection models: a practical guide , 2014 .

[51]  Sean M. McMahon,et al.  On using integral projection models to generate demographically driven predictions of species' distributions: development and validation using sparse data , 2014 .

[52]  J. Maron,et al.  Biogeographic effects on early establishment of an invasive alien plant. , 2015, American journal of botany.