scholarly journals Comparing six different species distribution models with several subsets of environmental variables: Predicting the potential current distribution of Guettarda speciosa in Indonesia

2019 ◽  
Vol 20 (8) ◽  
Author(s):  
Angga Yudaputra ◽  
Inggit Puji Astuti ◽  
Wendell P. Cropper
Keyword(s):  
Distribution Pattern ◽  
Predictive Model ◽  
Species Distribution ◽  
Current Distribution ◽  
Predictive Models ◽  
Environmental Variables ◽  
Potential Distribution ◽  
Species Distribution Models ◽  
Distribution Models ◽  
Predictive Map

Abstract. Yudaputra A, Pujiastuti I, Cropper Jr. WP. 2019. Comparing six different species distribution models with several subsets of environmental variables: predicting the potential current distribution of zebra Guettarda speciosa in Indonesia. Biodiversitas 20: 2321-2328. There are many algorithms of species distribution modeling that widely used to predict the potential distribution pattern of diverse organisms. Finding the best model in terms of predicting the potential distribution of many species remains a challenge. The objective of this study is to compare six different algorithms for predicting the potential current distribution pattern of Guettarda speciosa (zebra wood). The occurrence records of G. speciosa are derived from herbarium database, Bogor Botanic Gardens’s plant inventory database and direct field surveys through NKRI expedition.  Seven climatic variables and elevation data are extracted from global data. R open-source software is used to run those algorithms and QGIS is used to prepare the spatial data.  The result shows that MAXENT outperforms other predictive models with the highest AUC score 0.89, followed by SVM (0.87), RF (0.86), and GLM (0.82), DOMAIN (0.73), and BIOCLIM (0.62). Based on the AUC score, the four predictive models (MAXENT, SVM, RF, GLM) are categorized into good predictive models, indicating those are quite better to predict the potential current distribution pattern of G. speciosa. Whereas, DOMAIN is fair predictive model and BIOCLIM is poor predictive model. The predictive map derived from four models (MAXENT, SVM, RF, and GLM) shows almost similar appearance in predicting of potential current distribution of G. speciosa. The predictive map of current distribution would be useful to provide information regarding the potential habitat of G. speciosa across the landscape of Indonesia.

Species Distribution Models (SDM) – A Strategic Tool for Predicting Suitable Habitats for Conserving the Target Species

2017 ◽  
pp. 427-440
Author(s):  
Balaguru Balakrishnan ◽  
Nagamurugan Nandakumar ◽  
Soosairaj Sebastin ◽  
Khaleel Ahamed Abdul Kareem
Keyword(s):  
Species Distribution ◽  
Spatial Data ◽  
Environmental Variables ◽  
Species Distribution Models ◽  
Species Distribution Model ◽  
Distribution Model ◽  
Suitable Habitat ◽  
Target Species ◽  
Distribution Models ◽  
Suitable Habitats

Conservation of the species in their native landscapes required understanding patterns of spatial distribution of species and their ecological connectivity through Species Distribution Models (SDM) by generation and integration of spatial data from different sources using Geographical Information System (GIS) tools. SDM is an ecological/spatial model which combines datasets and maps of occurrence of target species and their geographical and environmental variables by linking various algorithms together, that has been applied to either identify or predict the regions fulfilling the set conditions. This article is focused on comprehensive review of spatial data requirements, statistical algorithms and softwares used to generate the SDMs. This chapter also includes a case study predicting the suitable habitat distribution of Gnetum ula, an endemic and vulnerable plant species using maximum entropy (MaxEnt) species distribution model for species occurrences with inputs from environmental variables such as bioclimate and elevation.

scholarly journals Magnolia mercedesiarum (subsect. Talauma, Magnoliaceae): a new Andean species from northern Ecuador, with insights into its potential distribution

Phytotaxa ◽  
2018 ◽  
Vol 348 (4) ◽  
pp. 254 ◽  
Author(s):  
J.-ANTONIO VÁZQUEZ-GARCÍA ◽  
DAVID A. NEILL ◽  
VIACHESLAV SHALISKO ◽  
FRANK ARROYO ◽  
R. EFRÉN MERINO-SANTI
Keyword(s):  
New Species ◽  
Species Distribution ◽  
Rare Species ◽  
Potential Distribution ◽  
Species Distribution Models ◽  
Distribution Area ◽  
Distribution Models ◽  
The Andes ◽  
Vegetation Sampling ◽  
A New Species

Magnolia mercedesiarum, a new species from the eastern slopes of the Andes in northern Ecuador, is described and illustrated, and a key to Ecuadorian Magnolia (subsect. Talauma) is provided. This species differs from M. vargasiana in having broadly elliptic leaves that have an obtuse base vs. suborbicular and subcordate to cordate, glabrous stipular scars, more numerous lateral veins per side and fewer stamens. It also differs from M. llanganatensis in having leaf blades broadly elliptic vs. elliptic, longer petioles, less numerous lateral leaf veins per side, larger fruits and more numerous petals and carpels. Using MaxEnt species distribution models and IUCN threat criteria, M. mercedesiarum has a potential distribution area of less than 3307 km² and is assessed as Endangered (EN): B1 ab (i, ii, iii). The relevance of systematic vegetation sampling in the discovery of rare species is highlighted.

scholarly journals Past and present potential distribution of the IberianAbiesspecies: a phytogeographic approach using fossil pollen data and species distribution models

2010 ◽  
Vol 16 (2) ◽  
pp. 214-228 ◽  
Author(s):  
Francisca Alba-Sánchez ◽  
José A. López-Sáez ◽  
Blas Benito-de Pando ◽  
Juan C. Linares ◽  
Diego Nieto-Lugilde ◽  
...  
Keyword(s):  
Species Distribution ◽  
Potential Distribution ◽  
Species Distribution Models ◽  
Fossil Pollen ◽  
Pollen Data ◽  
Distribution Models

scholarly journals Historical disturbances to rivers appear to constrain contemporary distribution of a river-dependent frog

2021 ◽  
Author(s):  
Mark A. Linnell ◽  
Raymond J. Davis
Keyword(s):  
Species Distribution ◽  
Environmental Variables ◽  
Species Distribution Models ◽  
Ensemble Model ◽  
Distribution Models ◽  
Precipitation Frequency ◽  
Historical Distribution ◽  
Large Water ◽  
Source Populations ◽  
Riparian Corridor

AbstractFrogs dependent on lotic environments are sensitive to disturbances that alter the hydrology (e.g., water impoundments), substrate (e.g., debris torrents), and riparian vegetation (e.g., wildfires) of river ecosystems. Although rivers are often very dynamic, disturbances can push environmental baselines outside of narrowly defined ecological tolerances under which a species evolved. Short-lived lotic-dependent organisms, restricted to movements within the water or the riparian corridor, are at risk of local extirpations owing to such disturbances if they fragment and isolate affected populations from recolonizing source populations. In Oregon, USA, the foothill yellow-legged frog (Rana boylii) is at its northernmost range margin and has experienced an approximately 41% range contraction compared to their historical distribution. To inform conservation and management, we used species distribution models to identify environmentally suitable watersheds based on intrinsic baseline environmental variables, and then examined potential effects of human-caused alterations to rivers, including splash dams used to ferry timber downstream prior to 1957, large water impoundments, and adjacency to agricultural croplands. We used machine-learning in program Maxent and three different river layers that varied in extent and location of mapped rivers but contained distinct information to produce species distribution models which we then combined into a single ensemble model. Stream order, annual precipitation, and precipitation frequency were the highest ranked baseline environmental variables in most models. Watersheds with highly suitable baseline conditions in our ensemble model were negatively correlated with anthropogenic disturbances to rivers. Foothill yellow-legged frogs appeared to be sensitive to human-caused disturbances to rivers, perhaps indicative of their narrow ecological tolerance to in-river conditions. We do not anticipate variables in our model to change much through time. Rather, for conservation we identified potential legacy (spash dams) and ongoing human-caused disturbances that are more likely to change conditions for the species in the short- and long-term.

Molecules meet macroecology—combining Species Distribution Models and phylogeographic studies

Zootaxa ◽  
2010 ◽  
Vol 2426 (1) ◽  
pp. 54 ◽  
Author(s):  
DENNIS RÖDDER ◽  
FRANK WEINSHEIMER ◽  
STEFAN LÖTTERS
Keyword(s):  
Gene Flow ◽  
Dna Barcoding ◽  
Species Distribution ◽  
Potential Distribution ◽  
Species Distribution Models ◽  
Integrative Taxonomy ◽  
Spatially Explicit ◽  
Distribution Models ◽  
Genetic Lineages ◽  
Flow Pathways

Combination of various techniques allows the identification of unique genetic lineages and/or taxa new to science via integrative taxonomy approaches. Next to molecular methods such as DNA ‘barcoding’ and phylogeographic analyses, Species Distribution Models may serve as compliment techniques allowing spatially explicit predictions of a species’ potential distribution even across millennia. They may facilitate the identification of possible recent and historical gene flow pathways. Herein, we highlight advantages of the combination of both molecular and macroecological approaches using the African miniature leaf litter frog Arthroleptis xenodactyloides as example.

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