scholarly journals Extending Marine Species Distribution Maps Using Non-Traditional Sources

2015 ◽  
Vol 3 ◽  
pp. e4900 ◽  
Author(s):  
John Wood ◽  
Fabio Moretzsohn ◽  
James Gibeaut
Keyword(s):  
Species Distribution ◽  
Marine Species ◽  
Distribution Maps

scholarly journals Combining fisheries surveys to inform marine species distribution modelling

2020 ◽  
Vol 77 (2) ◽  
pp. 539-552 ◽  
Author(s):  
Meadhbh Moriarty ◽  
Suresh A Sethi ◽  
Debbi Pedreschi ◽  
T Scott Smeltz ◽  
Chris McGonigle ◽  
...  
Keyword(s):  
Survey Data ◽  
Relative Abundance ◽  
Species Distribution ◽  
Distribution Patterns ◽  
Marine Species ◽  
Species Distribution Modelling ◽  
Distribution Maps ◽  
Modelling Framework ◽  
Combining Data ◽  
Gear Efficiency

Abstract Ecosystem-scale examination of fish communities typically involves creating spatio-temporally explicit relative abundance distribution maps using data from multiple fishery-independent surveys. However, sampling performance varies by vessel and sampling gear, which may influence estimated species distribution patterns. Using GAMMs, the effect of different gear–vessel combinations on relative abundance estimates at length was investigated using European fisheries-independent groundfish survey data. We constructed a modelling framework for evaluating relative efficiency of multiple gear–vessel combinations. 19 northeast Atlantic surveys for 254 species-length combinations were examined. Space-time variables explained most of the variation in catches for 181/254 species-length cases, indicating that for many species, models successfully characterized distribution patterns when combining data from disparate surveys. Variables controlling for gear efficiency explained substantial variation in catches for 127/254 species-length data sets. Models that fail to control for gear efficiencies across surveys can mask changes in the spatial distribution of species. Estimated relative differences in catch efficiencies grouped strongly by gear type, but did not exhibit a clear pattern across species’ functional forms, suggesting difficulty in predicting the potential impact of gear efficiency differences when combining survey data to assess species’ distributions and highlighting the importance of modelling approaches that can control for gear differences.

Using Open-Source Data in Correlative Species Distribution Modeling of Marine Species

2018 ◽  
Vol 80 (6) ◽  
pp. 457-461
Author(s):  
Carlos A. Morales-Ramirez ◽  
Pearlyn Y. Pang
Keyword(s):  
Open Source ◽  
Species Distribution ◽  
Open Source Software ◽  
Species Distribution Modeling ◽  
Science Research ◽  
Marine Species ◽  
Distribution Modeling ◽  
Open Source Data ◽  
Rapid Changes ◽  
Source Data

Open-source data are information provided free online. It is gaining popularity in science research, especially for modeling species distribution. MaxEnt is an open-source software that models using presence-only data and environmental variables. These variables can also be found online and are generally free. Using all of these open-source data and tools makes species distribution modeling (SDM) more accessible. With the rapid changes our planet is undergoing, SDM helps understand future habitat suitability for species. Due to increasing interest in biogeographic research, SDM has increased for marine species, which were previously not commonly found in this modeling. Here we provide examples of where to obtain the data and how the modeling can be performed and taught.

Illustrated guide to Pentatominae (Hemiptera: Pentatomidae) species associated with the four main grain crops in Rio Grande do Sul state, Brazil

Zootaxa ◽  
2021 ◽  
Vol 4958 (1) ◽  
pp. 430-478
Author(s):  
LURDIANA D. BARROS ◽  
MARCELO R. PAIM ◽  
VERÔNICA KREIN ◽  
VICTOR CARABAJAL ◽  
MARCELA N. BRANDÃO ◽  
...  
Keyword(s):  
Species Distribution ◽  
New Records ◽  
Species Recognition ◽  
Rio Grande ◽  
Economic Importance ◽  
Stink Bugs ◽  
Rio Grande Do Sul ◽  
Distribution Maps ◽  
Grain Crops ◽  
Scientific Collections

Several stink bugs in the subfamily Pentatominae are crop pests or have the potential to damage plants of economic importance. In the Brazilian state of Rio Grande do Sul, where agriculture plays a major role in the economy, the knowledge about pest stink bugs is fragmented and, in some instances, outdated. This work provides a summary of Pentatominae species recorded in Rio Grande do Sul feeding on the four most important grain crops for the state, i.e. soybean, rice, maize, and wheat, plus canola, an emerging crop. This survey is enhanced with new records from scientific collections, a short diagnosis for each species, distribution maps, an identification key, and carefully illustrated to allow for species recognition in the field. With this work, we aim to reunite the scattered knowledge of the group in one single revision, and provide a useful tool for identifying the pest stink bugs of Rio Grande do Sul. 

The lichen genus Lepraria Ach. (Stereocaulaceae, lichenized Ascomycota) in Romania

2020 ◽  
Vol 2 (1) ◽  
pp. 42-51
Author(s):  
Florin CRISAN
Keyword(s):  
Species Distribution ◽  
High Humidity ◽  
Fruiting Bodies ◽  
Recent Period ◽  
Distribution Maps ◽  
Long Time ◽  
Low Illumination ◽  
Crustose Lichens

Introduction. The genus Lepraria includes diffuse or indefinitely delimited species, always sterile, Lendemer (1) naming it „the most unusual member of the sterile lichen crusts”. According to Tonsberg (2), the leprarioid state appeared as an adaptation to a substrate characterized by dry surfaces, in sites with high humidity and low illumination. The thallus is leprose with an entirely sorediate surface. The lack of fruiting bodies has made the lichens from this group among the least known and studied for a long time. The increase in the number of studies on sterile crustose lichens in recent period has led to an increase in the number of accepted species of the genus Lepraria. The information on the genus Lepraria is not uniformly distributed, the current checklist describes only two species, L. caesioalba and L. finkii in Romania. The recent appearance of several studies that indicate the presence in Romania of other species of the genus mentioned, created the motivation of this study. Material and methods. This study is based on material from the Babes-Bolyai University (CL) herbaria in Cluj-Napoca, Romania and literature data. For 13 species, specimens have been examined. Results. The key for the species of genus Lepraria is proposed, adapted from Wirth (3). The species distribution maps in Romania are given. Conclusions. Fifteen Romanian species are revised, Lepraria eburnea, L. ecorticata, L. umbricola were reported from two locations, L. neglecta was found only in one location. Most widely distributed species in Romania seems to be L. finkii and L. membranacea.

The genus Bittacus Latreille (Insecta: Mecoptera) in Brazil: key to species, distribution maps, new synonym, and three new species

Zootaxa ◽  
2018 ◽  
Vol 4526 (3) ◽  
pp. 303 ◽  
Author(s):  
RENATO JOSE PIRES MACHADO ◽  
DIEGO MATHEUS DE MELLO MENDES ◽  
JOSÉ ALBERTINO RAFAEL
Keyword(s):  
New Species ◽  
Species Distribution ◽  
Identification Key ◽  
Key To Species ◽  
Distribution Maps ◽  
Brazilian Species ◽  
New Synonym ◽  
Three New Species

The Brazilian species of Bittacus Latreille (Mecoptera: Bittacidae) are reviewed and one new synonym is proposed (Thyridates willmanni Collucci & Amorin syn. n. of Bittacus diversinervis Souza Lopes & Mangabeira). Three new species are herein described: Bittacus cruzi sp. n. from Amazonas, Presidente Figueiredo and Manaus, B. ferreirai sp. n. from Bahia, Aracatu and B. varzeanus sp. n. from Amazonas, Tefé, bringing the current number of Bittacus species in Brazil to 18. Illustrations, comments, and distribution maps of each species are presented. An identification key to the Brazilian genera of Mecoptera and Bittacus species is also presented. 

Revision of the taxonomy and distribution of the Neotropical Copris incertus species complex (Coleoptera: Scarabaeidae: Scarabaeinae)

2018 ◽  
Vol 150 (5) ◽  
pp. 539-577 ◽  
Author(s):  
James D.G. Darling ◽  
François Génier
Keyword(s):  
New Species ◽  
Costa Rica ◽  
Species Distribution ◽  
Male Genitalia ◽  
Species Complex ◽  
New World ◽  
Species Group ◽  
Distribution Maps ◽  
Multiple Species ◽  
A New Species

AbstractCopris incertus Say, 1835 (Coleoptera: Scarabaeidae: Scarabaeinae: Coprini) has been described as a New World coprophagous scarab distributed from Mexico to Ecuador with large discontinuities in its range between the Yucatán province and Costa Rica. The C. incertus species complex of the Copris minutus (Drury, 1773) species group consists of C. incertus, Copris laeviceps Harold, 1869, and Copris lugubris Boheman, 1858. Based on external morphology and male genitalia, we discovered that multiple species have been classified as C. incertus. Of these species, five are new: Copris amazonicusnew species, Copris brevicornisnew species, Copris davidinew species, Copris moroninew species, and Copris susanaenew species. Herein, we revise the organisation of the C. incertus species complex and propose a new species complex, the C. laeviceps species complex, which includes: C. davidi, Copris igualensis Warner, 1990, and C. laeviceps, formerly included in the C. incertus species complex. We provide an identification key along with species distribution maps, images of habitus, and diagnostic characters.

Revision of New World Spalangiinae (Hymenoptera: Pteromalidae)

Zootaxa ◽  
2009 ◽  
Vol 2259 (1) ◽  
pp. 1-159 ◽  
Author(s):  
GARY A. P. GIBSON
Keyword(s):  
Species Distribution ◽  
New World ◽  
Single Species ◽  
Similar Species ◽  
World Species ◽  
European Species ◽  
Distribution Maps ◽  
Nomen Dubium ◽  
Species Groups

Spalangia Latreille and Playaspalangia Yoshimoto, the only two genera classified in Spalangiinae (Chalcidoidea: Pteromalidae) are revised for the New World. Thirty-one species of Spalangia and a single species of Playaspalangia, P. rothi Yoshimoto, are recognized from the New World. One further name, Spalangia tarsalis Brèthes, is treated as a nomen dubium. European species of Spalangia not yet known from the New World are also discussed and illustrated relative to regional species, but are not treated formally. The following new synonymies are proposed: Spalangia erythromera brachyceps Bouček under Spalangia erythromera Förster n. syn., Spalangia bakeri Kieffer under Spalangia chontalensis Cameron n. syn., and Spalangia lanaiensis Ashmead under Spalangia impunctata Howard n. syn. Spalangia simplex Perkins is newly recorded from the New World and the following 13 species are described as new: Spalangia alyxia n. sp., Spalangia flavicrus n. sp., Spalangia imitator n. sp., Spalangia innuba n. sp., Spalangia leiopleura n. sp., Spalangia masneri n. sp., Spalangia nigroides n. sp., Spalangia noyesi n. sp., Spalangia plaumanni n. sp., Spalangia rugosifrons n. sp., Spalangia stictocephala n. sp., Spalangia stictocyla n. sp., and Spalangia xanthoscapa n. sp. The 2 genera and the 32 regional species of Spalangiinae are keyed, described and illustrated, and regional hosts and distributions are summarized for each species. Distribution maps document the known range of each of the species in the New World. For purposes of comparison of morphologically similar species, 7 informal species groups are recognized in Spalangia to include 29 of the 31 New World species: the attae-group (S. attae Burks, S. rugosifrons, S. stictocyla and S. stictocephala), the cameroni-group (S. cameroni Perkins, S. longepetiolata Bouček and S. gemina Bouček), the drosophilae- group (S. bethyloides Bouček, S. drosophilae Ashmead, S. flavicrus, S. impunctata, S. innuba, S. leiopleura and S. plaumanni), the endius group (S. endius Walker and S. nigripes), the nigra-group (S. alyxia, S. chontalensis, S. masneri, S. nigra Latreille, S. nigroides and S. nigroaenea Curtis), the noyesi-group (S. noyesi and S. xanthoscapa), and the subpunctata-group (S. erythromera, S. fuscipes, S. haematobiae Ashmead, S. imitator and S. subpunctata Förster).

scholarly journals Multispectral Approach for Identifying Invasive Plant Species Based on Flowering Phenology Characteristics

2019 ◽  
Vol 11 (8) ◽  
pp. 953 ◽  
Author(s):  
Tarin Paz-Kagan ◽  
Micha Silver ◽  
Natalya Panov ◽  
Arnon Karnieli
Keyword(s):  
Plant Species ◽  
Species Distribution ◽  
Invasive Plant ◽  
Remote Sensing Data ◽  
Hyperspectral Data ◽  
Support Vector ◽  
Temperature Pattern ◽  
Multispectral Images ◽  
Invasive Plant Species ◽  
Distribution Maps

Invasive plant species (IPS) are the second biggest threat to biodiversity after habitat loss. Since the spatial extent of IPS is essential for managing the invaded ecosystem, the current study aims at identifying and mapping the aggressive IPS of Acacia salicina and Acacia saligna, to understand better the key factors influencing their distribution in the coastal plain of Israel. This goal was achieved by integrating airborne-derived hyperspectral imaging and multispectral earth observation for creating species distribution maps. Hyperspectral data, in conjunction with high spatial resolution species distribution maps, were used to train the multispectral images at the species level. We incorporated a series of statistical models to classify the IPS location and to recognize their distribution and density. We took advantage of the phenological flowering stages of Acacia trees, as obtained by the multispectral images, for the support vector machine classification procedure. The classification yielded an overall Kappa coefficient accuracy of 0.89. We studied the effect of various environmental and human factors on IPS density by using a random forest machine learning model, to understand the mechanisms underlying successful invasions, and to assess where IPS have a higher likelihood of occurring. This algorithm revealed that the high density of Acacia most closely related to elevation, temperature pattern, and distances from rivers, settlements, and roads. Our results demonstrate how the integration of remote-sensing data with different data sources can assist in determining IPS proliferation and provide detailed geographic information for conservation and management efforts to prevent their future spread.

Sign in / Sign up

Export Citation Format

Share Document