From mycelia to mastodons - A general approach for simulating biotic disturbances in forest ecosystems

[1]  Paul D. Henne,et al.  Reviving extinct Mediterranean forest communities may improve ecosystem potential in a warmer future , 2015 .

[2]  P. Townsend,et al.  Spatial dynamics of a gypsy moth defoliation outbreak and dependence on habitat characteristics , 2013, Landscape Ecology.

[3]  B. Marçais,et al.  Tracking the invasion: dispersal of Hymenoscyphus fraxineus airborne inoculum at different scales. , 2018, FEMS microbiology ecology.

[4]  K. Weathers,et al.  Forest Ecosystem Responses to Exotic Pests and Pathogens in Eastern North America , 2006 .

[5]  Robert J. Pabst,et al.  Multi-scale Drivers of Spatial Variation in Old-Growth Forest Carbon Density Disentangled with Lidar and an Individual-Based Landscape Model , 2012, Ecosystems.

[6]  P. R. Guy,et al.  The feeding behaviour of elephant (Loxodonta africana) in the Sengwa Area Rhodesia , 1976 .

[7]  J. Bullock,et al.  Global trade networks determine the distribution of invasive non‐native species , 2017 .

[8]  David A. Orwig,et al.  An invasive urban forest pest invades natural environments — Asian longhorned beetle in northeastern US hardwood forests , 2011 .

[9]  David B. Collinge,et al.  The ash dieback crisis: genetic variation in resistance can prove a long‐term solution , 2014 .

[10]  Gregory A. Elmes,et al.  Gypsy moth invasion in North America: a quantitative analysis , 1992 .

[11]  M. Keeling Models of foot-and-mouth disease , 2005, Proceedings of the Royal Society B: Biological Sciences.

[12]  Joachim Denzler,et al.  Deep learning and process understanding for data-driven Earth system science , 2019, Nature.

[13]  A. Dróżdż,et al.  Intake and digestibility of natural feeds by roe-deer , 1973 .

[14]  R. Seidl,et al.  Natural disturbance impacts on ecosystem services and biodiversity in temperate and boreal forests , 2015, Biological reviews of the Cambridge Philosophical Society.

[15]  J. Heikkinen,et al.  Modelling the mechanisms behind the key epidemiological processes of the conifer pathogen Heterobasidion annosum , 2017 .

[16]  W. O. Kermack,et al.  A contribution to the mathematical theory of epidemics , 1927 .

[17]  T. Marques,et al.  Living on the Edge: Roe Deer (Capreolus capreolus) Density in the Margins of Its Geographical Range , 2014, PloS one.

[18]  B. Buma Disturbance interactions: characterization, prediction, and the potential for cascading effects , 2015 .

[19]  Ross K. Meentemeyer,et al.  Multi‐scale patterns of human activity and the incidence of an exotic forest pathogen , 2008 .

[20]  Jordi Bascompte,et al.  The Allee effect, stochastic dynamics and the eradication of alien species , 2003 .

[21]  Daniel B. Stouffer,et al.  A modeling framework for the establishment and spread of invasive species in heterogeneous environments , 2017, Ecology and evolution.

[22]  M. Ciampitti,et al.  Anoplophora species in Europe : infestations and management processes , 2006 .

[23]  Werner Rammer,et al.  Climate change amplifies the interactions between wind and bark beetle disturbances in forest landscapes , 2016, Landscape Ecology.

[24]  Ronald J. Hall,et al.  Biotic disturbances in Northern Hemisphere forests – a synthesis of recent data, uncertainties and implications for forest monitoring and modelling , 2017 .

[25]  C. Macquarrie,et al.  Chemical control in forest pest management , 2016, The Canadian Entomologist.

[26]  D. Bebber,et al.  Crop pests and pathogens move polewards in a warming world , 2013 .

[27]  B. Økland,et al.  Range expansion of the small spruce bark beetle Ips amitinus: a newcomer in northern Europe , 2019, Agricultural and Forest Entomology.

[28]  Christopher N. Johnson,et al.  Combining paleo-data and modern exclosure experiments to assess the impact of megafauna extinctions on woody vegetation , 2015, Proceedings of the National Academy of Sciences.

[29]  Alexander Arpaci,et al.  Modelling natural disturbances in forest ecosystems: a review , 2011 .

[30]  Werner Rammer,et al.  Tree species diversity mitigates disturbance impacts on the forest carbon cycle , 2015, Oecologia.

[31]  J. P. Skovsgaard,et al.  Patterns and Severity of Crown Dieback in Young Even-Aged Stands of European Ash (Fraxinus excelsior L.) in Relation to Stand Density, Bud Flushing Phenotype, and Season , 2018 .

[32]  M. Turner,et al.  Looking beyond the mean: Drivers of variability in postfire stand development of conifers in Greater Yellowstone. , 2018, Forest ecology and management.

[33]  J. Elkinton,et al.  EFFECTS OF SYNCHRONY WITH HOST PLANT ON POPULATIONS OF A SPRING-FEEDING LEPIDOPTERAN , 2000 .

[34]  H. H. Birks,et al.  Evidence for the diet and habitat of two late Pleistocene mastodons from the Midwest, USA , 2018, Quaternary Research.

[35]  M. Turner Disturbance and landscape dynamics in a changing world. , 2010, Ecology.

[36]  Andrew M. Liebhold,et al.  Circumpolar variation in periodicity and synchrony among gypsy moth populations , 2005 .

[37]  M. Garbelotto,et al.  Biology, epidemiology, and control of Heterobasidion species worldwide. , 2013, Annual review of phytopathology.

[38]  Mike J Jeger,et al.  Modelling disease spread and control in networks: implications for plant sciences. , 2007, The New phytologist.

[39]  D. Panchenko,et al.  The European roe deer (Capreolus capreolus L.) at the northern boundary of its range in Eastern Fennoscandia , 2017, Russian Journal of Ecology.

[40]  J. Terborgh,et al.  Megafauna and ecosystem function from the Pleistocene to the Anthropocene , 2016, Proceedings of the National Academy of Sciences.

[41]  R. Seidl,et al.  The impact of future forest dynamics on climate: interactive effects of changing vegetation and disturbance regimes. , 2017, Ecological monographs.

[42]  A. Chandelier,et al.  Temporal evolution of collar lesions associated with ash dieback and the occurrence of Armillaria in Belgian forests , 2016 .

[43]  N. G. Miller,et al.  Mastodon herbivory in mid-latitude late-Pleistocene boreal forests of eastern North America , 2012, Quaternary Research.

[44]  M. Heurich,et al.  Simulation and analysis of outbreaks of bark beetle infestations and their management at the stand level , 2011 .

[45]  Ingolf Kühn,et al.  No saturation in the accumulation of alien species worldwide , 2017, Nature Communications.

[46]  L. V. McKinney,et al.  Adaptive potential of ash (Fraxinus excelsior) populations against the novel emerging pathogen Hymenoscyphus pseudoalbidus , 2011, Evolutionary applications.

[47]  Benjamin Smith,et al.  Vegetation demographics in Earth System Models: A review of progress and priorities , 2018, Global change biology.

[48]  J. Rishbeth Observations on the Biology of Fomes annosus, with Particular Reference to East Anglian Pine PlantationsII. Spore Production, Stump Infection, and Saprophytic Activity in Stumps , 1951 .

[49]  D. Richardson,et al.  Novel ecosystems: theoretical and management aspects of the new ecological world order , 2006 .

[50]  B. Bentz,et al.  Phenology and density-dependent dispersal predict patterns of mountain pine beetle (Dendroctonus ponderosae) impact , 2014 .

[51]  Alexei A. Sharov,et al.  A model for testing hypotheses of gypsy moth, Lymantria dispar L., population dynamics , 1996 .

[52]  Andrew M. Liebhold,et al.  POPULATION DYNAMICS OF GYPSY MOTH IN NORTH AMERICA , 1990 .

[53]  J. Pratt,et al.  Two studies to assess the risk to Pinus sylvestris from Heterobasidion spp. in southern Sweden , 2006 .

[54]  Alexander J. Hernández,et al.  Root disease can rival fire and harvest in reducing forest carbon storage , 2016 .

[55]  Greg Dwyer,et al.  Induced plant defenses, host–pathogen interactions, and forest insect outbreaks , 2013, Proceedings of the National Academy of Sciences.

[56]  O. Holdenrieder,et al.  The teleomorph of Chalara fraxinea, the causal agent of ash dieback , 2009 .

[57]  K. Korhonen,et al.  Spatial distribution and persistence of Heterobasidion parviporum genets on a Norway spruce site , 2007 .

[58]  D. Eyre,et al.  Invasive Cerambycid Pests and Biosecurity Measures , 2017 .

[59]  Mark Altaweel,et al.  Modeling micro-scale ecological processes and emergent patterns of mountain pine beetle epidemics , 2014 .

[60]  Anthony R. Taylor,et al.  Globally consistent climate sensitivity of natural disturbances across boreal and temperate forest ecosystems , 2020, Ecography.

[61]  Günther Klonner,et al.  Invasive alien pests threaten the carbon stored in Europe’s forests , 2018, Nature Communications.

[62]  Rupert Seidl,et al.  To Model or not to Model, That is no Longer the Question for Ecologists , 2016, Ecosystems.

[63]  M. Scheffer,et al.  Trajectories of the Earth System in the Anthropocene , 2018, Proceedings of the National Academy of Sciences.

[64]  Jean J Turgeon,et al.  Managing invasive populations of Asian longhorned beetle and citrus longhorned beetle: a worldwide perspective. , 2010, Annual review of entomology.

[65]  Brian R. Miranda,et al.  Modeling epidemiological disturbances in LANDIS-II , 2018 .

[66]  Aaron S. Weed,et al.  Ips typographus and Dendroctonus ponderosae Models Project Thermal Suitability for Intra- and Inter-Continental Establishment in a Changing Climate , 2019, Front. For. Glob. Change.

[67]  P. Capretti,et al.  Forest pathogens with higher damage potential due to climate change in Europe , 2008 .

[68]  M. Garbelotto,et al.  Invasion of European pine stands by a North American forest pathogen and its hybridization with a native interfertile taxon , 2007, Molecular ecology.

[69]  J. Senn,et al.  Ungulate browsing on silver fir (Abies alba) in the Swiss Alps: beliefs in search of supporting data , 2003 .

[70]  D. Simberloff How Much Information on Population Biology Is Needed to Manage Introduced Species? , 2003 .

[71]  N. Pettorelli,et al.  Variations in adult body mass in roe deer: the effects of population density at birth and of habitat quality , 2002, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[72]  M. Mcmanus,et al.  History and Impact of Gypsy Moth in North America and Comparison to Recent Outbreaks in Europe , 2007, Acta Silvatica et Lignaria Hungarica.

[73]  Nik J Cunniffe,et al.  Modeling when, where, and how to manage a forest epidemic, motivated by sudden oak death in California , 2016, Proceedings of the National Academy of Sciences.

[74]  M. Garbelotto,et al.  The American forest pathogen Heterobasidion irregulare colonizes unexpected habitats after its introduction in Italy. , 2012, Ecological applications : a publication of the Ecological Society of America.

[75]  P. Duncan,et al.  Are European roe deer browsers ? A review of variations in the composition of their diets , 1996, Revue d'Écologie (La Terre et La Vie).

[76]  J. P. Skovsgaard,et al.  Silvicultural strategies for Fraxinus excelsior in response to dieback caused by Hymenoscyphus fraxineus , 2017 .

[77]  V. Mastro,et al.  New York's battle with the Asian long-horned beetle , 1997 .

[78]  J. Pratt,et al.  Fomes root rot in Thetford Forest, East Anglia: past, present and future , 2002 .

[79]  R. Seidl,et al.  Harnessing landscape heterogeneity for managing future disturbance risks in forest ecosystems. , 2018, Journal of environmental management.

[80]  Tsuyoshi Hosoya,et al.  Hymenoscyphus fraxineus, the correct scientific name for the fungus causing ash dieback in Europe , 2014, IMA fungus.

[81]  A. Pappinen,et al.  Estimation of dispersal gradients of S- and P-type basidiospores of Heterobasidion annosum , 1997 .

[82]  J. Bérubé,et al.  Incidence of Heterobasidion irregulare aerial basidiospores at different locations in southern Quebec , 2018 .

[83]  Robert V. O'Neill,et al.  Aggregation error in ecological models , 1979 .

[84]  Hong S. He,et al.  Modeling biological disturbances in LANDIS: a module description and demonstration using spruce budworm , 2004 .

[85]  Brian J. Harvey,et al.  Changing disturbance regimes, ecological memory, and forest resilience , 2016 .

[86]  Andrew M. Liebhold,et al.  INTRODUCTION: Population dynamics of forest-defoliating insects Are population cycles and spatial synchrony a universal characteristic of forest insect populations? , 2000 .

[87]  Andrew D. Moore,et al.  Integrating pest population models with biophysical crop models to better represent the farming system , 2015, Environ. Model. Softw..

[88]  Monica G. Turner,et al.  Adapt to more wildfire in western North American forests as climate changes , 2017, Proceedings of the National Academy of Sciences.

[89]  M. Ayres,et al.  Forest pests and their management in the Anthropocene , 2018 .

[90]  R. Sequeira,et al.  Potential Effect of Anoplophora glabripennis (Coleoptera: Cerambycidae) on Urban Trees in the United States , 2001, Journal of economic entomology.

[91]  B. Heinze,et al.  Genetic analysis of inherited reduced susceptibility of Fraxinus excelsior L. seedlings in Austria to ash dieback , 2018 .

[92]  John W. Williams,et al.  Pleistocene Megafaunal Collapse, Novel Plant Communities, and Enhanced Fire Regimes in North America , 2009, Science.

[93]  Clayton C. Kingdon,et al.  A general Landsat model to predict canopy defoliation in broadleaf deciduous forests , 2012 .

[94]  Jennifer A. Miller,et al.  Modeling the risk of spread and establishment for Asian longhorned beetle (Anoplophora glabripennis) in Massachusetts from 2008-2009 , 2016 .

[95]  B. Metzler,et al.  Temporal development of ash dieback symptoms and spatial distribution of collar rots in a provenance trial of Fraxinus excelsior , 2013, European Journal of Forest Research.

[96]  Marco Heurich,et al.  Small beetle, large-scale drivers: how regional and landscape factors affect outbreaks of the European spruce bark beetle. , 2016, The Journal of applied ecology.

[97]  P. Gatto,et al.  Analysis of costs and benefits of Asian longhorned beetle eradication in Italy , 2016 .

[98]  Norway spruce at the trailing edge: the effect of landscape configuration and composition on climate resilience , 2020, Landscape Ecology.

[99]  H. Peltola,et al.  Effects of wood decay by Heterobasidion annosum on the vulnerability of Norway spruce stands to wind damage: a mechanistic modelling approach , 2017 .

[100]  R. Seidl,et al.  Harnessing Deep Learning in Ecology: An Example Predicting Bark Beetle Outbreaks , 2019, Front. Plant Sci..

[101]  Anwar Ghani,et al.  INTRODUCED BROWSING MAMMALS IN NEW ZEALAND NATURAL FORESTS: ABOVEGROUND AND BELOWGROUND CONSEQUENCES , 2001 .

[102]  R. Waring,et al.  A generalised model of forest productivity using simplified concepts of radiation-use efficiency, carbon balance and partitioning , 1997 .

[103]  Uta Berger,et al.  Pattern-Oriented Modeling of Agent-Based Complex Systems: Lessons from Ecology , 2005, Science.

[104]  Wolfgang Nentwig,et al.  Alien species in a warmer world: risks and opportunities. , 2009, Trends in ecology & evolution.

[105]  O. Holdenrieder,et al.  European ash (Fraxinus excelsior) dieback - a conservation biology challenge. , 2013 .

[106]  K. Heliövaara,et al.  Interaction of disturbance agents on Norway spruce: A mechanistic model of bark beetle dynamics integrated in simulation framework WINDROT , 2018, Ecological Modelling.

[107]  Hong S. He,et al.  The past and future of modeling forest dynamics: from growth and yield curves to forest landscape models , 2017, Landscape Ecology.

[108]  Youqing Luo,et al.  Ecology and management of exotic and endemic Asian longhorned beetle Anoplophora glabripennis , 2009 .

[109]  Daniel Simberloff,et al.  Introduced species policy, management, and future research needs , 2005 .

[110]  P. Beck,et al.  Predicting the spread of an invasive tree pest: The pine wood nematode in Southern Europe , 2018, Journal of Applied Ecology.

[111]  J. Gershenzon,et al.  Tree defence and bark beetles in a drying world: carbon partitioning, functioning and modelling. , 2019, The New phytologist.

[112]  Michael S. Watt,et al.  Linking Climate Suitability, Spread Rates and Host-Impact When Estimating the Potential Costs of Invasive Pests , 2013, PloS one.

[113]  H. Solheim,et al.  Progression of Ash Dieback in Norway Related to Tree Age, Disease History and Regional Aspects , 2017 .

[114]  R. Slotow,et al.  The utilization of large savanna trees by elephant in southern Kruger National Park , 2008, Journal of Tropical Ecology.

[115]  T. Cech,et al.  Biogeographical patterns and determinants of invasion by forest pathogens in Europe. , 2013, The New phytologist.

[116]  M. Déqué,et al.  Simulating the effects of a climate-change scenario on the geographical range and activity of forest-pathogenic fungi , 2007 .

[117]  A. Edwards,et al.  Estimating mortality rates of European ash ( Fraxinus excelsior ) under the ash dieback ( Hymenoscyphus fraxineus ) epidemic , 2018, PLANTS, PEOPLE, PLANET.

[118]  J. J. Colbert,et al.  Tree mortality risk of oak due to gypsy moth , 1998 .

[119]  R. Seidl,et al.  Legacies of past land use have a stronger effect on forest carbon exchange than future climate change in a temperate forest landscape , 2018, Biogeosciences.

[120]  Steven F Railsback,et al.  Pattern-oriented modelling: a ‘multi-scope’ for predictive systems ecology , 2012, Philosophical Transactions of the Royal Society B: Biological Sciences.

[121]  Demetrios Gatziolis,et al.  The relationship between trees and human health: evidence from the spread of the emerald ash borer. , 2013, American journal of preventive medicine.

[122]  S. Thurner,et al.  Modelling the multi-scaled nature of pest outbreaks , 2019, Ecological Modelling.

[123]  G. Pegg,et al.  Lessons from the Incursion of Myrtle Rust in Australia. , 2018, Annual review of phytopathology.

[124]  J. Hicke,et al.  Cross-scale Drivers of Natural Disturbances Prone to Anthropogenic Amplification: The Dynamics of Bark Beetle Eruptions , 2008 .

[125]  Miroslav Svoboda,et al.  Forest disturbances under climate change. , 2017, Nature climate change.

[126]  Eric J. Gustafson When relationships estimated in the past cannot be used to predict the future: using mechanistic models to predict landscape ecological dynamics in a changing world , 2013, Landscape Ecology.

[127]  D. Simberloff,et al.  BIOTIC INVASIONS: CAUSES, EPIDEMIOLOGY, GLOBAL CONSEQUENCES, AND CONTROL , 2000 .

[128]  Laura Dobor,et al.  Is salvage logging effectively dampening bark beetle outbreaks and preserving forest carbon stocks? , 2019, Journal of Applied Ecology.

[129]  S. Higgins,et al.  How many elephants can you fit into a conservation area , 2012 .

[130]  T. Spies,et al.  An Individual-Based Process Model to Simulate Landscape-Scale Forest Ecosystem Dynamics , 2012 .