Habitat for the endangered ephemeral Monotaxis macrophylla (Euphorbiaceae) in New South Wales: how do predictions compare with the evidence?
Stephen A. J. Bell
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Abstract
The endangered ephemeral herb Monotaxis macrophylla (Euphorbiaceae) has limited (~211) records throughout its known range in eastern Australia. In New South Wales (NSW), the 127 occurrences are spread over more than half of the state, and for regulatory purposes this has led to 262 Plant Community Types (PCTs) being predicted as suitable habitat for the species in the BioNet Threatened Biodiversity Data Collection (TBDC). Under the Biodiversity Assessment Method currently in use in NSW, Monotaxis macrophylla is to be specifically addressed for any development site where one or more of the 262 PCTs occur.
To assess how predicted habitats for Monotaxis macrophylla as shown in the TBDC compare with evidence of occurrence.
Examination of all available voucher collections, observations records, and the literature for eastern Australia was undertaken, and reviewed against the New South Wales PCT classification.
Monotaxis macrophylla was found to be affiliated with only 15 PCTs in NSW at best, but only 10 of these are currently included in the list of predicted PCTs for the species. The weight of evidence from existing presence data clearly shows that 10 heath and rocky scrub PCTs identified for Monotaxis macrophylla in NSW comprise 121 (95%) of all NSW records. Analysis of records in Queensland against Regional Ecosystems did not identify additional PCT-affiliated vegetation that might also support the species elsewhere in NSW.
The revised suite of 15 PCTs known or expected to support Monotaxis macrophylla occupies just 14,660 km2 or 1.8% of the State (potentially less if low-confidence PCTs are removed), compared with more than 27,000 km2 or 3.4% for the predicted 262 PCTs.
Currently, if any development is proposed within land that supports one or more of the 262 PCTs linked to Monotaxis macrophylla, appropriately timed targeted surveys are required to discount its presence, or it must be assumed to be present. This review has highlighted that predicted habitats should be evidence based by using known presence data, rather than assumed using broad understandings of possible habitat, and regular revision of predicted habitats within regulatory frameworks for all threatened species is recommended.
Keywords: endangered, ephemeral, evidence, habitat, Monotaxis macrophylla, PCT mapping, regulation, surrogate.
References
Abdo L, Griffin S, Kemp A, Coupland G (2021) Disparity in biodiversity offset regulation across Australia may reduce effectiveness. Australasian Journal of Environmental Management 28, 81-103.
| Crossref | Google Scholar |
Ayers D, Nash S, Baggett K (Eds) (1996) ‘Threatened Species of Western New South Wales.’ (NSW National Parks and Wildlife Service: Hurstville, NSW, Australia) Available at https://nswdpe.intersearch.com.au/nswdpejspui/handle/1/8497
Bachman SP, Brown MJM, Leão TCC, Lughadha EN, Walker BE (2024) Extinction risk predictions for the world’s flowering plants to support their conservation. New Phytologist 242, 797-808.
| Crossref | Google Scholar | PubMed |
Baker DJ, Maclean IMD, Goodall M, Gaston KJ (2021) Species distribution modelling is needed to support ecological impact assessments. Journal of Applied Ecology 58, 21-26.
| Crossref | Google Scholar |
Bell SAJ (2019) Additions and amendments to the rare or threatened vascular plants of Wollemi National Park, central eastern New South Wales. Cunninghamia 19, 43-56 Available at https://www.botanicgardens.org.au/sites/default/files/2023-06/Cunninghamia-10-3-331-Bell-331.pdf.
| Google Scholar |
Bell S, Holzinger B (2015) Wildfire reveals new populations of the endangered Commersonia rosea and Monotaxis macrophylla in northern Wollemi National Park, NSW. Australasian Plant Conservation 23, 2-4.
| Crossref | Google Scholar |
Bell SAJ, Lamrock P, Haines HA, Turney C (2022) Multiple lines of evidence infer centurial-scale habitat change and resilience in a threatened plant species at Mount Dangar, Hunter Valley, New South Wales. Australian Journal of Botany 70, 432-446.
| Crossref | Google Scholar |
Briggs S (2011) Avoiding madness in the method: best practice methodologies for regulatory biodiversity assessment. Pacific Conservation Biology 17, 94-96.
| Crossref | Google Scholar |
Cramer MD, Verboom GA (2017) Measures of biologically relevant environmental heterogeneity improve prediction of regional plant species richness. Journal of Biogeography 44, 579-591.
| Crossref | Google Scholar |
Crisfield VE, Dennett JM, Denny CK, Mao L, Nielsen SE (2020) Species richness is a surrogate for rare plant occurrence, but not conservation value, in boreal plant communities. Biodiversity and Conservation 29, 99-114.
| Crossref | Google Scholar |
DAWE (2020) National Vegetation Information System (NVIS) data products V5.0. Department of Agriculture, Water and the Environment. Available at https://www.environment.gov.au/land/native-vegetation/national-vegetation-information-system/data-products
DCCEEW (2023) NSW State Vegetation Type Map Release C2.0M2.0 (December 2023). Department of Climate Change, Energy, the Environment and Water. Available at https://datasets.seed.nsw.gov.au/dataset/nsw-state-vegetation-type-map
DPE (2022) A revised classification of plant communities of Eastern New South Wales. Department of Planning and Environment. Available at https://www.environment.nsw.gov.au/-/media/OEH/Corporate-Site/Documents/BioNet/a-revised-classification-of-plant-communities-of-eastern-new-south-wales-220178-2.pdf
DPE (2023) Biodiversity Assessment Method 2020 Operational Manual – Stage 2, April 2023. (NSW and Department of Planning and Environment). Available at https://www.environment.nsw.gov.au/-/media/OEH/Corporate-Site/Documents/Animals-and-plants/Biodiversity/biodiversity-assessment-method-operational-manual-stage-2-230164.pdf
DPIE (2020) Surveying threatened plants and their habitats: NSW survey guide for the Biodiversity Assessment Method, April 2020. (NSW Department of Planning, Industry and Environment) Available at https://www.environment.nsw.gov.au/-/media/OEH/Corporate-Site/Documents/Animals-and-plants/Biodiversity/surveying-threatened-plants-and-habitats-nsw-survey-guide-biodiversity-assessment-method-200146.pdf
Elith J, Graham CH, Anderson RP, Dudik M, Ferrier S, Guisan A, Hijmans RJ, Huettmann F, Leathwick JR, Lehmann A, Li J, Lohmann LG, Loiselle BA, Manion G, Moritz C, Nakamura M, Nakazawa Y, Overton JMM, Peterson AT, Phillips SJ, Richardson K, Scachetti-Pereira R, Schapire RE, Soberón J, Williams S, Wisz MS, Zimmermann NE (2006) Novel methods improve prediction of species’ distributions from occurrence data. Ecography 29, 129-151.
| Crossref | Google Scholar |
Environment Australia (2000) Revision of the Interim Biogeographical Regionalisation of Australia (IBRA) and the development of Version 5.1 – Summary Report. Department of Environment and Heritage, Canberra, ACT, Australia. Available at https://www.dcceew.gov.au/sites/default/files/documents/revision-ibra-development-5-1-summary-report.pdf
Faith DP, Walker PA (1996) Environmental diversity: on the best-possible use of surrogate data for assessing the relative biodiversity of sets of areas. Biodiversity and Conservation 5, 399-415.
| Crossref | Google Scholar |
Gibson C (2002) Along the Prostanthera Trail. Lasianthos 3, 12-17.
| Google Scholar |
Guisan A, Thuiller W (2005) Predicting species distribution: offering more than simple habitat models. Ecology Letters 8, 993-1009.
| Crossref | Google Scholar | PubMed |
Halford DA, Henderson RJF (2002) Studies in Euphorbiaceae A.L. Juss. sens lat. 4. A revision of Monotaxis Brongn. (Acalyphoideae Ascherson, Ampereae Mull.Arg.). Austrobaileya 6, 273-292 Available at https://archive.org/details/biostor-257094.
| Google Scholar |
Hunter JT (1998) Notes on the occurrence of Monotaxis macrophylla Benth. (Euphorbiaceae), with particular reference to New South Wales. The Queensland Naturalist 36, 21-24.
| Google Scholar |
Hunter JT (2005) Vegetation and floristics of Warra National Park and Wattleridge, Northern Tablelands, NSW. Cunninghamia 9, 255-274 Available at https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://www.researchgate.net/publication/228658066_Vegetation_and_floristics_of_Warra_National_Park_and_Wattleridge_Northern_Tablelands_NSW&ved=2ahUKEwiD7qjDvYWIAxXHp1YBHZnlAy0QFnoECBEQAQ&usg=AOvVaw2pfU2x-_7zn_p1FwEHolFR.
| Google Scholar |
Hunter JT (2011) Vegetation and Floristics of the Pilliga East State Conservation Area, Willala Aboriginal Area, Pilliga Nature Reserve and the Ukerbarley Addition. Available at https://www.researchgate.net/profile/John-Hunter-7/publication/279963204_Vegetation_and_flora_of_the_Pilliga_Nature_Reserve/links/55a0661008aef92d04ce371b/Vegetation-and-flora-of-the-Pilliga-Nature-Reserve.pdf
Hunter JT, Bruhl JJ (1997) Significant range extensions for 10 species of vascular plants in northern New South Wales. Austrobaileya 4, 691-694.
| Crossref | Google Scholar |
Hunter JT, Copeland LM (2007) Field Survey of Western Granite Threatened Flora Species, Identified as Priority by the Namoi Catchment Management Authority, January 2007. Report to the Namoi Catchment Management Authority. Available at https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://www.researchgate.net/publication/281366338_Field_Survey_of_Western_Granite_Threatened_Flora_Species_Identified_as_Priority_by_the_Namoi_Catchment_Management_Authority&ved=2ahUKEwj0kJDQuoWIAxWL7DQHHevcEPoQFnoECAYQAQ&usg=AOvVaw0YKQwu53s8eUbFKXG7v3jW
Hunter M, Westgate M, Barton P, Calhoun A, Pierson J, Tulloch A, Beger M, Branquinho C, Caro T, Gross J, Heino J, Lane P, Longo C, Martin K, McDowell WH, Mellin C, Salo H, Lindenmayer D (2016) Two roles for ecological surrogacy: indicator surrogates and management surrogates. Ecological Indicators 63, 121-125.
| Crossref | Google Scholar |
Lannuzel G, Balmot J, Dubos N, Thibault M, Fogliani B (2021) High-resolution topographic variables accurately predict the distribution of rare plant species for conservation area selection in a narrow-endemism hotspot in New Caledonia. Biodiversity and Conservation 30, 963-990.
| Crossref | Google Scholar |
Lombard AT, Cowling RM, Pressey RL, Rebelo AG (2003) Effectiveness of land classes as surrogates for species in conservation planning for the Cape Floristic Region. Biological Conservation 112, 45-62.
| Crossref | Google Scholar |
Mainali K, Hefley T, Ries L, Fagan WF (2020) Matching expert range maps with species distribution model predictions. Conservation Biology 34, 1292-1304.
| Crossref | Google Scholar | PubMed |
Metcalfe L, Sivertsen DP, Tindall D, Ryan KM (2003) Natural vegetation of the New South Wales wheat-belt (Cobar–Nyngan–Gilgandra, Nymagee–Narromine–Dubbo 1:250 000 vegetation sheets). Cunninghamia 8, 253-284 Available at https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://www.botanicgardens.org.au/sites/default/files/2023-06/Volume-8%25282%2529-2003-Cun8Met253-284.pdf&ved=2ahUKEwiZpPaovoWIAxVfslYBHcc_E8IQFnoECB8QAQ&usg=AOvVaw2DOo3mo8rkBQ5-Tp5oNTTp.
| Google Scholar |
Mod HK, Scherrer D, Luoto M, Guisan A (2016) What we use is not what we know: environmental predictors in plant distribution models. Journal of Vegetation Science 27, 1308-1322.
| Crossref | Google Scholar |
Muñoz J, Felicísimo AM (2004) Comparison of statistical methods commonly used in predictive modelling. Journal of Vegetation Science 15, 285-292.
| Crossref | Google Scholar |
Murray BR, Thrall PH, Lepschi BJ (2002) Relating species rarity to life history in plants of eastern Australia. Evolutionary Ecology Research 4, 937-950 Available at http://www.evolutionary-ecology.com/issues/v04n07/ccar1407.pdf.
| Google Scholar |
Muscatello A, Elith J, Kujala H (2021) How decisions about fitting species distribution models affect conservation outcomes. Conservation Biology 35, 1309-1320.
| Crossref | Google Scholar | PubMed |
Olivares-Rojas J, Cook CN, Ward MS, Walsh JC (2024) Species and ecological communities as management surrogates for threatened biodiversity. Biodiversity and Conservation 33, 987-1008.
| Crossref | Google Scholar |
Pharo EJ, Beattie AJ (2001) Management forest types as a surrogate for vascular plant, bryophyte and lichen diversity. Australian Journal of Botany 49, 23-30.
| Crossref | Google Scholar |
PlantNET (2024) The NSW Plant Information Network System. Royal Botanic Gardens and Domain Trust, Sydney. Available at https://plantnet.rbgsyd.nsw.gov.au [accessed 21 August 2024]
Ponce-Fontenla S, Serrano M, Carballal R, Regos A (2021) Sentinel 2 images enable reliable prediction of fine-scale habitat dynamics of narrow endemic plant species in serpentine soils. Applied Vegetation Science 24, e12614.
| Crossref | Google Scholar |
Queensland Herbarium (2024) Regional Ecosystem Description Database (REDD). Version 13.1 (May 2024). (Queensland Department of Environment, Science and Innovation: Brisbane, Qld, Australia) Available at https://www.qld.gov.au/__data/assets/file/0010/411112/REDD_v13.1_2024.zip
Robinson NM, Scheele BC, Legge S, Southwell DM, Carter O, Lintermans M, Radford JQ, Skroblin A, Dickman CR, Koleck J, Wayne AF, Kanowski J, Gillespie GR, Lindenmayer DB (2018) How to ensure threatened species monitoring leads to threatened species conservation. Ecological Management and Restoration 19, 222-229.
| Crossref | Google Scholar |
Roff A, Day M, Thonell J, Denholm B (2022) NSW State Vegetation Type Map: Technical Notes. NSW Department of Planning and Environment, Sydney, NSW, Australia. Available at https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://www.environment.nsw.gov.au/-/media/OEH/Corporate-Site/Documents/BioNet/nsw-state-vegetation-type-map-technical-notes-220275.pdf&ved=2ahUKEwichNGLu4WIAxUCqVYBHTKBL4AQFnoECAwQAQ&usg=AOvVaw3xn1gYsUBCT22j6wjEQUQX
Saunders ME, Andrew RL, Mitchell-Williams J, Pemberton P, Wandrag EM, Hunter JT (2024) Rapid on-ground assessment after the 2019–2020 megafires reveals new information on rare and threatened plants in northern New South Wales, Australia. Austral Ecology 49, e13514.
| Crossref | Google Scholar |
Scheele BC, Legge S, Armstrong DP, Copley P, Robinson N, Southwell D, Westgate MJ, Lindenmayer DB (2018) How to improve threatened species management: an Australian perspective. Journal of Environmental Management 223, 668-675.
| Crossref | Google Scholar | PubMed |
Silcock JL, Fensham RJ (2018) Using evidence of decline and extinction risk to identify priority regions, habitats and threats for plant conservation in Australia. Australian Journal of Botany 66, 541-555.
| Crossref | Google Scholar |
Sousa-Baena MS, Garcia LC, Peterson AT (2014) Knowledge behind conservation status decisions: data basis for ‘Data Deficient’ Brazilian plant species. Biological Conservation 173, 80-89.
| Crossref | Google Scholar |
Stockwell DRB, Peterson AT (2002) Effects of sample size on accuracy of species distribution models. Ecological Modelling 148, 1-13.
| Crossref | Google Scholar |
Tälle M, Ranius T, Öckinger E (2023) The usefulness of surrogates in biodiversity conservation: a synthesis. Biological Conservation 288, 110384.
| Crossref | Google Scholar |
Thuiller W, Araújo MB, Lavorel S (2003) Generalized models vs. classification tree analysis: predicting spatial distributions of plant species at different scales. Journal of Vegetation Science 14, 669-680.
| Crossref | Google Scholar |
Wall WA, Just MG, Huskins SD, Hohmann MG (2024) Enhancing rare plant population predictions through demographic modeling of seed predation, dispersal, and habitat suitability. Plant Ecology 225, 63-74.
| Crossref | Google Scholar |
Wang HH, Wonkka CL, Treglia ML, Grant WE, Smeins FE, Rogers WE (2019) Incorporating local-scale variables into distribution models enhances predictability for rare plant species with biological dependencies. Biodiversity and Conservation 28, 171-182.
| Crossref | Google Scholar |
Ware C, Williams KJ, Harding J, Hawkins B, Harwood T, Manion G, Perkins GC, Ferrier S (2018) Improving biodiversity surrogates for conservation assessment: a test of methods and the value of targeted biological surveys. Diversity and Distributions 24, 1333-1346.
| Crossref | Google Scholar |
Wilson KA, Westphal MI, Possingham HP, Elith J (2005) Sensitivity of conservation planning to different approaches to using predicted species distribution data. Biological Conservation 122, 99-112.
| Crossref | Google Scholar |
Wisz MS, Hijmans RJ, Li J, Peterson AT, Graham CH, Guisan A, NCEAS Predicting Species Distributions Working Group (2008) Effects of sample size on the performance of species distribution models. Diversity and Distributions 14, 763-773.
| Crossref | Google Scholar |
Woinarski JCZ, Price O, Faith DP (1996) Application of a taxon priority system for conservation planning by selecting areas which are most distinct from environments already reserved. Biological Conservation 76, 147-159.
| Crossref | Google Scholar |
