The contribution of small collections to species distribution modelling: A case study from Fuireneae (Cyperaceae) |
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| Institution: | 1. Central Michigan University, Institute for Great Lakes Research, Mount Pleasant, MI, USA;2. Central Michigan University, Department of Biology, Mount Pleasant, MI, USA;3. Central Michigan University, Department of Geography, Center for Geographic Information Science, Mount Pleasant, MI, USA;4. Department of Biology, Valdosta State University, Valdosta, GA, USA;1. Department of Forestry and Environmental Conservation, Clemson University, Clemson, SC, USA;2. Environmental Engineering and Earth Sciences, Clemson University, Anderson, SC, USA;1. CBNA, National Botanical Conservatory of the Alps, 148 rue Pasteur, 73000 Chambéry, France;2. Irstea — National Research Institute of Science and Technology for Environment and Agriculture, UR EMGR Mountain Ecosystems Unit, Grenoble, France;3. University of St Andrews, School of Biology, St Andrews, Fife KY16 9ST, Scotland UK;1. Facultad de Ciencias, Universidad de Vigo, 36310 Vigo, Spain;2. Departamento de Informática, Edificio Fundición, Universidad de Vigo, 36310 Vigo, Spain;3. Escuela Superior de Ingeniería Informática, Edificio Politécnico s/n, Campus As Lagoas, Universidad de Vigo, 32004 Orense, Spain;4. Departamento de Biogeografía y Cambio Global, Museo Nacional de Ciencias Naturales (CSIC), c/ José Gutiérrez Abascal 2, 28006 Madrid, Spain;1. State Engineering Laboratory of Bio-Resource Eco-Utilization (Heilongjiang), Northeast Forestry University, Haerbin, Heilongjiang Province, China;2. Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, Liaoning Province, China;3. College of agricultural resource and environment, Heilongjiang University, Haerbin, Heilongjiang Province, China;1. Instituto de Pesquisas Jardim Botânico do Rio de Janeiro, Rua Pacheco Leão 915-sala 125, Rio de Janeiro, RJ, CEP 22460-030, Brazil;2. Fundação Instituto de Pesca do Estado do Rio de Janeiro, Av. das Américas 31501, Rio de Janeiro CEP 23032-050, RJ, Brazil |
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| Abstract: | The recent and rapid digitization of biodiversity data from natural history collection (NHC) archives has enriched collections based data repositories; this data continues to inform studies of species' geographic distributions. Here we investigate the relative impact of plant data from small natural history collections (collections with < 100,000 specimens) on species distributional models in an effort to document the potential of data from small NHCs to contribute to and inform biodiversity research. We modelled suitable habitat of five test case species from Fuireneae (Cyperaceae) in the United States using specimen records available via the Global Biodiversity Information Facility and that of data ready to mobilize from two regional small herbaria. Data were partitioned into three datasets based on their source: 1) collections-based records from large NHCs accessed GBIF, 2) collections-based records from small NHCs accessed from GBIF, and 3) collections-based records from two small regional herbaria not yet mobilized to GBIF. We extracted and evaluated the ecological niche represented for each of the three datasets by applying dataset occurrences to 14 environmental factors, and we modelled habitat suitability using Maxent to compare the represented distribution of the environmental values among the datasets. Our analyses indicate that the data from small NHCs contributed unique information in both geographic and environmental space. When data from small collections were combined with data from large collections, species models of the ecological niche resulted in more refined predictions of habitat suitability, indicating that small collections can contribute unique occurrence data which enhance species distribution models by bridging geographic collection gaps and shifting modelled predictions of suitable habitat. Inclusion of specimen records from small collections in ongoing digitization efforts is essential for generating informed models of a species' niche and distribution. |
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