Climate change impacts on the ecological dynamics of two coral reef species, the humphead wrasse (Cheilinus undulatus) and crown-of-thorns starfish (Ancanthaster planci)
暂无分享,去创建一个
[1] L. Kumar,et al. Assessing Accuracy Methods of Species Distribution Models : AUC , Specificity , Sensitivity and the True Skill Statistic , 2018 .
[2] D. Burkepile,et al. A global analysis of coral bleaching over the past two decades , 2019, Nature Communications.
[3] O. Thas,et al. Constrained Ordination Analysis with Enrichment of Bell-Shaped Response Functions , 2016, PloS one.
[4] R. Murtugudde,et al. A reduction in marine primary productivity driven by rapid warming over the tropical Indian Ocean , 2016 .
[5] Benjamin L. Richards,et al. Environmental Factors Affecting Large-Bodied Coral Reef Fish Assemblages in the Mariana Archipelago , 2012, PloS one.
[6] Damaris Zurell,et al. Collinearity: a review of methods to deal with it and a simulation study evaluating their performance , 2013 .
[7] Brendan A. Wintle,et al. Is my species distribution model fit for purpose? Matching data and models to applications , 2015 .
[8] R. Chesher. Destruction of Pacific Corals by the Sea Star Acanthaster planci , 1969, Science.
[9] Arjen M. Krikken,et al. Phosphorylation of Pex11p does not regulate peroxisomal fission in the yeast Hansenula polymorpha , 2015, Scientific Reports.
[10] P. Klesius,et al. Influence of the Dietary Level of Iron from Iron Methionine and Iron Sulfate on Immune Response and Resistance of Channel Catfish to Edwardsiella ictaluri , 1997 .
[11] H. Sweatman. No-take reserves protect coral reefs from predatory starfish , 2008, Current Biology.
[12] Robert P. Anderson,et al. Maximum entropy modeling of species geographic distributions , 2006 .
[13] M. Byrne,et al. The thermal tolerance of crown-of-thorns (Acanthaster planci) embryos and bipinnaria larvae: implications for spatial and temporal variation in adult populations , 2013, Coral Reefs.
[14] Wei Wu,et al. Predicting the current and future cultivation regions of Carthamus tinctorius L. using MaxEnt model under climate change in China , 2018, Global Ecology and Conservation.
[15] J. Romano,et al. IMPACT OF NATURAL AND ARTIFICIAL CHEMICAL INPUTS ON THE MARINE ECOSYSTEM OF BATROUN REGION (NORTH LEBANON) , 2005 .
[16] Rubén G. Mateo,et al. Impact of model complexity on cross-temporal transferability in Maxent species distribution models: An assessment using paleobotanical data , 2015 .
[17] M. Recio,et al. Resource selection by an ancient taxon (Onychophora) in a modern urban landscape: A multi-scale analysis approach to assist in the conservation of an animal phylum , 2016 .
[18] R. Harris,et al. Nonlethal Injury to Organisms as a Mechanism of Population Regulation , 1989, The American Naturalist.
[19] Alexandre Antonelli,et al. Estimating species diversity and distribution in the era of Big Data: to what extent can we trust public databases? , 2015, Global ecology and biogeography : a journal of macroecology.
[20] C. Birkeland,et al. Terrestrial runoff as a cause of outbreaks of Acanthaster planci (Echinodermata: Asteroidea) , 1982 .
[21] S. Mitarai,et al. Spatial and temporal population dynamics of the crown-of-thorns starfish, Acanthaster planci, over a 24-year period along the central west coast of Okinawa Island, Japan , 2014, Marine Biology.
[22] Sunil Kumar,et al. Field validation of an invasive species Maxent model , 2016, Ecol. Informatics.
[23] Pippa J. Moore,et al. Climate velocity and the future global redistribution of marine biodiversity , 2015 .
[24] P. Munday. Transgenerational acclimation of fishes to climate change and ocean acidification , 2014, F1000prime reports.
[25] J. Engler,et al. Mapping Species Distributions with MAXENT Using a Geographically Biased Sample of Presence Data: A Performance Assessment of Methods for Correcting Sampling Bias , 2014, PloS one.
[26] S. Wilson,et al. Recent Advances in Understanding the Effects of Climate Change on Coral Reefs , 2016 .
[27] M. White,et al. Selecting thresholds for the prediction of species occurrence with presence‐only data , 2013 .
[28] Y. Sadovy,et al. Threatened fishes of the world: Cheilinus undulatus Rüppell, 1835 (Labridae) , 2001, Environmental Biology of Fishes.
[29] M. Byrne,et al. Larval cloning in the crown-of-thorns sea star, a keystone coral predator , 2019, Marine Ecology Progress Series.
[30] R. Real,et al. AUC: a misleading measure of the performance of predictive distribution models , 2008 .
[31] I. Miller,et al. Origins and Implications of a Primary Crown-of-Thorns Starfish Outbreak in the Southern Great Barrier Reef , 2015 .
[32] J. Lucas. Quantitative studies of feeding and nutrition during larval development of the coral reef asteroid Acanthaster planci (L.) , 1982 .
[33] Robert P. Anderson,et al. Species-specific tuning increases robustness to sampling bias in models of species distributions: An implementation with Maxent , 2011 .
[34] J. Jompa,et al. Management of the Grouper Export Trade in Indonesia , 2020, Reviews in Fisheries Science & Aquaculture.
[35] M. Pratchett,et al. Environmental tipping points for sperm motility, fertilization, and embryonic development in the crown-of-thorns starfish , 2017 .
[36] Joeri Rogelj,et al. Global warming under old and new scenarios using IPCC climate sensitivity range estimates , 2012 .
[37] Hugh P. Possingham,et al. Effects of climate‐driven primary production change on marine food webs: implications for fisheries and conservation , 2010 .
[38] Antoine Guisan,et al. Predictive habitat distribution models in ecology , 2000 .
[39] G. De’ath,et al. The 27–year decline of coral cover on the Great Barrier Reef and its causes , 2012, Proceedings of the National Academy of Sciences.
[40] Carolien Kroeze,et al. Past and future trends in nutrient export by 19 rivers to the coastal waters of Indonesia , 2013 .
[41] Peter John. Moran,et al. The Acanthaster phenomenon , 1988 .
[42] Robert P. Anderson,et al. Ecological Niches and Geographic Distributions , 2011 .
[43] Jeong Chang Seong,et al. All Equal-Area Map Projections Are Created Equal, But Some Are More Equal Than Others , 2001 .
[44] E. Delong,et al. Phosphate‐limited ocean regions select for bacterial populations enriched in the carbon–phosphorus lyase pathway for phosphonate degradation , 2019, Environmental microbiology.
[45] Shan Liu,et al. Marine Toxins Detection by Biosensors Based on Aptamers , 2019, Toxins.
[46] G. De’ath,et al. Estimates of the abundance of the crown-of-throns starfish Acanthaster planci in outbreaking and non-outbreaking populations on reefs within the Great Barrier Reef , 1992 .
[47] O. Hoegh‐Guldberg,et al. Securing a Long-term Future for Coral Reefs. , 2018, Trends in ecology & evolution.
[48] Robert P. Anderson,et al. Making better Maxent models of species distributions: complexity, overfitting and evaluation , 2014 .
[49] Susan L. Williams,et al. Large‐scale coral reef rehabilitation after blast fishing in Indonesia , 2018, Restoration Ecology.
[50] A. Townsend Peterson,et al. Novel methods improve prediction of species' distributions from occurrence data , 2006 .
[51] Fei-xue Fu,et al. Ocean warming alleviates iron limitation of marine nitrogen fixation , 2018, Nature Climate Change.
[52] Nicholas K. Dulvy,et al. Coral reef cascades and the indirect effects of predator removal by exploitation , 2004 .
[53] J. Wares,et al. Can Theory Improve the Scope of Quantitative Metazoan Metabarcoding , 2015 .
[54] P. Hernandez,et al. The effect of sample size and species characteristics on performance of different species distribution modeling methods , 2006 .
[55] R. Daly,et al. Investigating the efficacy of a proposed marine protected area for the Endangered humphead wrasse Cheilinus undulatus at a remote island group in Seychelles , 2020 .
[56] Matthew J. Smith,et al. Protected areas network is not adequate to protect a critically endangered East Africa Chelonian: Modelling distribution of pancake tortoise, Malacochersus tornieri under current and future climates , 2013, bioRxiv.
[57] M. Stat,et al. Limits to the thermal tolerance of corals adapted to a highly fluctuating, naturally extreme temperature environment , 2015, Scientific Reports.
[58] S. Luque,et al. Presence-only modelling for indicator species distribution: Biodiversity monitoring in the French Alps , 2010 .
[59] Trevor Hastie,et al. A statistical explanation of MaxEnt for ecologists , 2011 .
[60] M. Byrne,et al. Superstars: Assessing nutrient thresholds for enhanced larval success of Acanthaster planci, a review of the evidence. , 2017, Marine pollution bulletin.
[61] L. Wantiez,et al. Citizen Science, a promising tool for detecting and monitoring outbreaks of the crown-of-thorns starfish Acanthaster spp. , 2020, Scientific Reports.
[62] S. Lek,et al. Effects of species prevalence on the performance of predictive models , 2017 .
[63] J. Paul Goode,et al. THE HOMOLOSINE PROJECTION: A NEW DEVICE FOR PORTRAYING THE EARTH'S SURFACE ENTIRE , 1925 .
[64] K. Okaji. Feeding ecology in the early life stages of the crown-of-thorns starfish, Acanthaster planci (L.) , 1996 .
[65] D. Dalzell,et al. The toxicity of iron to brown trout and effects on the gills: a comparison of two grades of iron sulphate , 1999 .
[66] Charles Troupin,et al. Bio‐ORACLE: a global environmental dataset for marine species distribution modelling , 2012 .
[67] J. Benzie,et al. A threat to coral reefs multiplied? Four species of crown-of-thorns starfish , 2008, Biology Letters.
[68] A. Garm,et al. Eyes and negative phototaxis in juvenile crown-of-thorns starfish, Acanthaster species complex , 2019, Biology Open.
[69] L. Wantiez,et al. Site fidelity and activity patterns of a humphead wrasse, Cheilinus undulatus (Labridae), as determined by acoustic telemetry , 2007, Environmental Biology of Fishes.
[70] Yan Du,et al. Relationship between sea surface salinity and ocean circulation and climate change , 2019, Science China Earth Sciences.
[71] R. Endean. Crown-of-thorns starfish on the great barrier reef , 1982 .
[72] G. De’ath,et al. Three lines of evidence to link outbreaks of the crown-of-thorns seastar Acanthaster planci to the release of larval food limitation , 2010, Coral Reefs.
[73] J. Elith,et al. Do they? How do they? WHY do they differ? On finding reasons for differing performances of species distribution models , 2009 .
[74] T. Dawson,et al. Predicting the impacts of climate change on the distribution of species: are bioclimate envelope models useful? , 2003 .
[75] Robert P. Anderson,et al. Evaluating predictive models of species’ distributions: criteria for selecting optimal models , 2003 .
[76] Graham J Edgar,et al. Systematic global assessment of reef fish communities by the Reef Life Survey program , 2014, Scientific Data.
[77] I. Somodi,et al. Prevalence dependence in model goodness measures with special emphasis on true skill statistics , 2017, Ecology and evolution.
[78] F. Tuya,et al. Environmental factors driving the distribution of the tropical coral Pavona varians : Predictions under a climate change scenario , 2020 .
[79] Morgan S. Pratchett,et al. Climate change and the future for coral reef fishes , 2008 .
[80] Asep K. Supriatna,et al. A mathematical model of coral reef response to destructive fishing considering some biological interactions , 2020 .
[81] Matthew J. Smith,et al. The Effects of Sampling Bias and Model Complexity on the Predictive Performance of MaxEnt Species Distribution Models , 2013, PloS one.
[82] J. C. Brito,et al. Predicting species distribution at range margins: testing the effects of study area extent, resolution and threshold selection in the Sahara–Sahel transition zone , 2014 .
[83] C. Brown,et al. Logging degrades nursery habitat for an iconic coral reef fish , 2017 .
[84] William W. L. Cheung,et al. Multi-model ensemble projections of climate change effects on global marine biodiversity , 2015 .
[85] M. Araújo,et al. Presence-absence versus presence-only modelling methods for predicting bird habitat suitability , 2004 .
[86] M. Pratchett,et al. Variation in Incidence and Severity of Injuries among Crown-of-Thorns Starfish (Acanthaster cf. solaris) on Australia’s Great Barrier Reef , 2017 .
[87] Narkis S. Morales,et al. MaxEnt’s parameter configuration and small samples: are we paying attention to recommendations? A systematic review , 2016, bioRxiv.
[88] M. Pratchett,et al. Benthic predators influence microhabitat preferences and settlement success of crown-of-thorns starfish (Acanthaster cf. solaris) , 2016 .
[89] Dan L Warren,et al. Ecological niche modeling in Maxent: the importance of model complexity and the performance of model selection criteria. , 2011, Ecological applications : a publication of the Ecological Society of America.
[90] C. Mellin,et al. Species Distribution Models of Tropical Deep-Sea Snappers , 2015, PloS one.
[91] M. Byrne,et al. Effect of sublethal predation on reproductive output of the crown-of-thorns starfish Acanthaster sp., with an overview of arm damage , 2019, Marine Ecology Progress Series.
[92] N. TemboRostern. The Effects of Some Metals in Acidified Waters on Aquatic Organisms , 2017 .
[93] J. Brodie,et al. Potential Enhanced Survivorship of Crown of Thorns Starfish Larvae due to Near-Annual Nutrient Enrichment during Secondary Outbreaks on the Central Mid-Shelf of the Great Barrier Reef, Australia , 2017 .
[94] M. Byrne,et al. Larval Starvation to Satiation: Influence of Nutrient Regime on the Success of Acanthaster planci , 2015, PloS one.
[95] M. White,et al. On the selection of thresholds for predicting species occurrence with presence‐only data , 2015, Ecology and evolution.
[96] S. Phinn,et al. Australian vegetated coastal ecosystems as global hotspots for climate change mitigation , 2019, Nature Communications.
[97] N. Moosdorf,et al. Groundwater nutrient inputs into an urbanized tropical estuary system in Indonesia. , 2018, The Science of the total environment.
[98] Miroslav Dudík,et al. Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation , 2008 .
[99] P. Boyd,et al. Marine phytoplankton and the changing ocean iron cycle , 2016 .
[100] Lucia Fanning,et al. Tackling illegal, unregulated, and unreported trade towards Humphead wrasse (Cheilinus undulatus) recovery in Sabah, Malaysia , 2012 .
[101] Robert A. Boria,et al. Spatial filtering to reduce sampling bias can improve the performance of ecological niche models , 2014 .
[102] Joy R. Petway,et al. Two alternative evaluation metrics to replace the true skill statistic in the assessment of species distribution models , 2019, Nature Conservation.
[103] F. Kroon,et al. DNA-based identification of predators of the corallivorous Crown-of-Thorns Starfish (Acanthaster cf. solaris) from fish faeces and gut contents , 2020, Scientific Reports.
[104] K. Trenberth,et al. Improved Estimates of Changes in Upper Ocean Salinity and the Hydrological Cycle , 2020, Journal of Climate.
[105] Steven J. Phillips,et al. The art of modelling range‐shifting species , 2010 .
[106] Alistair J. Hobday,et al. Projected climate change in Australian marine and freshwater environments , 2011 .
[107] Simon J. Pittman,et al. Multi-Scale Approach for Predicting Fish Species Distributions across Coral Reef Seascapes , 2011, PloS one.
[108] R. Braakman,et al. Microbial feedbacks optimize ocean iron availability , 2020, Proceedings of the National Academy of Sciences.
[109] Haroon,et al. Transcriptomic evidence that insulin signalling pathway regulates the ageing of subterranean termite castes , 2020, Scientific Reports.
[110] P. Glynn. Food-Web Structure and Dynamics of Eastern Tropical Pacific Coral Reefs: Panamá and Galápagos Islands , 2008 .
[111] J. Brashares,et al. The effects of small sample size and sample bias on threshold selection and accuracy assessment of species distribution models , 2012 .
[112] M. Pratchett,et al. Crown-of-thorns starfish larvae are vulnerable to predation even in the presence of alternative prey , 2020, Coral Reefs.
[113] J. Bell,et al. Addressing the coral reef crisis in developing countries. , 2006 .
[114] R. Gillett. Monitoring and management of the humphead wrasse 'Cheilinus Undulatus' , 2010 .
[115] M. Araújo,et al. Validation of species–climate impact models under climate change , 2005 .
[116] C. Mellin,et al. Thirty Years of Research on Crown-of-Thorns Starfish (1986–2016): Scientific Advances and Emerging Opportunities , 2017 .
[117] T. Dawson,et al. Selecting thresholds of occurrence in the prediction of species distributions , 2005 .
[118] M. Pratchett,et al. LIMITS TO UNDERSTANDING AND MANAGING OUTBREAKS OF CROWN-OF-THORNS STARFISH (ACANTHASTER SPP.) , 2014 .
[119] H. Rijksen,et al. Water quality and the distribution of some fishes in an area of acid sulphate soils, Kalimantan, Indonesia , 1992, Hydrobiological Bulletin.
[120] Dedmer B. Van de Waal,et al. Multiple global change stressor effects on phytoplankton nutrient acquisition in a future ocean , 2020, Philosophical Transactions of the Royal Society B.
[121] Omri Allouche,et al. Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS) , 2006 .
[122] L. Hansen,et al. n-3 PUFA biosynthesis by the copepod Apocyclops royi documented using fatty acid profile analysis and gene expression analysis , 2019, Biology Open.
[123] J. Andrew Royle,et al. Presence‐only modelling using MAXENT: when can we trust the inferences? , 2013 .
[124] K. Hayes,et al. Assessing Different Causes of Crown-of-Thorns Starfish Outbreaks and Appropriate Responses for Management on the Great Barrier Reef , 2016, PloS one.
[125] A. Townsend Peterson,et al. Transferability and model evaluation in ecological niche modeling: a comparison of GARP and Maxent , 2007 .
[126] R. Hijmans,et al. Cross-validation of species distribution models: removing spatial sorting bias and calibration with a null model. , 2012, Ecology.
[127] J. Kleypas. Climate change and tropical marine ecosystems: A review with an emphasis on coral reefs , 2019, UNED Research Journal.
[128] A. Hirzel,et al. Assessing habitat-suitability models with a virtual species , 2001 .
[129] Robert P. Anderson,et al. Estimating optimal complexity for ecological niche models: A jackknife approach for species with small sample sizes , 2013 .
[130] A. Hudson,et al. Whole genome sequencing of Rhodotorula mucilaginosa isolated from the chewing stick (Distemonanthus benthamianus): insights into Rhodotorula phylogeny, mitogenome dynamics and carotenoid biosynthesis , 2017, PeerJ.
[131] M. Phillips,et al. While stocks last : the live reef food fish trade , 2003 .
[132] Y. Sadovy de Mitcheson,et al. Quantifying the rare: Baselines for the endangered Napoleon Wrasse, Cheilinus undulatus , and implications for conservation , 2019, Aquatic Conservation: Marine and Freshwater Ecosystems.
[133] Ren-yan Duan,et al. The Predictive Performance and Stability of Six Species Distribution Models , 2014, PloS one.
[134] Sameer Saran,et al. Maxent modeling for predicting the potential distribution of medicinal plant, Justicia adhatoda L. in Lesser Himalayan foothills , 2013 .
[135] M. Pratchett,et al. Known Predators of Crown-of-Thorns Starfish (Acanthaster spp.) and Their Role in Mitigating, If Not Preventing, Population Outbreaks , 2017 .
[136] B. Gallardo,et al. Evaluating the combined threat of climate change and biological invasions on endangered species. , 2013 .
[137] H. Verbruggen,et al. Bio‐ORACLE v2.0: Extending marine data layers for bioclimatic modelling , 2018 .
[138] D. Mouillot,et al. ORIGINAL ARTICLE: Fish species richness decreases with salinity in tropical coastal lagoons , 2006 .
[139] Wei Gao,et al. Co-Occurrence of Tetrodotoxin and Saxitoxins and Their Intra-Body Distribution in the Pufferfish Canthigaster valentini , 2020, Toxins.
[140] S. Uthicke,et al. Climate change as an unexpected co-factor promoting coral eating seastar (Acanthaster planci) outbreaks , 2015, Scientific Reports.
[141] T. Done,et al. Limited scope for latitudinal extension of reef corals , 2015, Science.