scholarly journals Pest Insect Species, Distribution and Densities in Olive Orchards in Mardin Province

2019 ◽  
pp. 1901-1907
Author(s):  
Mehmet KAPLAN
Keyword(s):  
Species Distribution ◽  
Insect Species ◽  
Pest Insect

Interspecific competition drives gall‐inducing insect species distribution on leaves of Matayba guianensis Aubl. (Sapindaceae)

2021 ◽  
Author(s):  
Jean Carlos Santos ◽  
Yurixhi Maldonado‐López ◽  
Henrique Venâncio ◽  
Wanessa Rejane Almeida ◽  
Daniel Tirapeli Felício ◽  
...  
Keyword(s):  
Interspecific Competition ◽  
Species Distribution ◽  
Insect Species

scholarly journals Sampling bias in presence-only data used for species distribution modelling: theory and methods for detecting sample bias and its effects on models

Sommerfeltia ◽  
2018 ◽  
Vol 38 (1) ◽  
pp. 1-53 ◽  
Author(s):  
Bente Støa ◽  
Rune Halvorsen ◽  
Sabrina Mazzoni ◽  
Vladimir I. Gusarov
Keyword(s):  
Species Distribution ◽  
Sampling Bias ◽  
Species Distribution Modelling ◽  
Insect Species ◽  
Assessment Framework ◽  
Distribution Models ◽  
Theoretical Understanding ◽  
Distribution Modelling ◽  
Bias Assessment ◽  
Background Data

Abstract This paper provides a theoretical understanding of sampling bias in presence-only data in the context of species distribution modelling. This understanding forms the basis for two integrated frameworks, one for detecting sampling bias of different kinds in presence-only data (the bias assessment framework) and one for assessing potential effects of sampling bias on species distribution models (the bias effects framework). We exemplify the use of these frameworks to museum data for nine insect species in Norway, for which the distribution along the two main bioclimatic gradients (related to oceanicity and temperatures) are modelled using the MaxEnt method. Models of different complexity (achieved by use of two different model selection procedures that represent spatial prediction or ecological response modelling purposes, respectively) were generated with different types of background data (uninformed and background-target-group [BTG]). The bias assessment framework made use of comparisons between observed and theoretical frequency-of-presence (FoP) curves, obtained separately for each combination of species and bioclimatic predictor, to identify potential sampling bias. The bias effects framework made use of comparisons between modelled response curves (predicted relative FoP curves) and the corresponding observed FoP curves for each combination of species and predictor. The extent to which the observed FoP curves deviated from the expected, smooth and unimodal theoretical FoP curve, varied considerably among the nine insect species. Among-curve differences were, in most cases, interpreted as indications of sampling bias. Using BTG-type background data in many cases introduced strong sampling bias. The predicted relative FoP curves from MaxEnt were, in general, similar to the corresponding observed FoP curves. This indicates that the main structure of the data-sets were adequately summarised by the MaxEnt models (with the options and settings used), in turn suggesting that shortcomings of input data such as sampling bias or omission of important predictors may overshadow the effect of modelling method on the predictive performance of distribution models. The examples indicate that the two proposed frameworks are useful for identification of sampling bias in presence-only data and for choosing settings for distribution modelling options such as the method for extraction of background data points and determining the appropriate level of model complexity.

Exploiting a pest insect species Sphenarium purpurascens for human consumption: ecological, social, and economic repercussions

2015 ◽  
Vol 1 (1) ◽  
pp. 75-84 ◽  
Author(s):  
R. Cerritos Flores ◽  
R. Ponce-Reyes ◽  
F. Rojas-García
Keyword(s):  
Chemical Control ◽  
Insect Species ◽  
Human Consumption ◽  
Human Populations ◽  
Pest Species ◽  
Control Methods ◽  
Mechanical Method ◽  
Pest Insect ◽  
Mechanical Control ◽  
Economic Profit

Insect species, especially those considered to be pests, can be exploited for human consumption. One of the most devastating pest insect species in central Mexico is the grasshopper Sphenarium purpurascens. Here we develop a sustainable exploitation strategy that produces a considerable biomass of S. purpurascens while minimising the damage they cause to agricultural fields by changing the chemical control methods to a mechanical method. In this model the biomass-per-stage of grasshoppers that can be extracted annually using the mechanical method was calculated and their potential abundance was estimated using Maxent. With a calculated population density of 10-55 individuals of S. purpurascens per m2 over approximately 1,050,000 ha of the agroecosystems in Mexico, the estimated biomass of this insect averaged 350,000 tons per year (generating a gross income of US$ 3.5×108 million). Unlike chemical control methods, mechanical control has no toxic effects on human populations or other species inside or outside of the agroecosystems. Promoting a change from chemical to mechanical control methods of pest species could greatly impact on the health of millions of people globally and on the environment, reducing carbon dioxide and methane emissions, land clearing and the use of pesticides while obtaining economic profit.

DIETARY SILVER NANOPARTICLES REDUCE FITNESS IN A BENEFICIAL, BUT NOT PEST, INSECT SPECIES

2016 ◽  
Vol 93 (4) ◽  
pp. 190-201 ◽  
Author(s):  
Zahra Afrasiabi ◽  
Holly J.R. Popham ◽  
David Stanley ◽  
Dhananjay Suresh ◽  
Kristen Finley ◽  
...  
Keyword(s):  
Silver Nanoparticles ◽  
Insect Species ◽  
Pest Insect

scholarly journals INVENTARISASI HAMA PASCAPANEN JAGUNG DALAM PENYIMPANAN DI TINGKAT PETANI DAN PEDAGANG DI KUPANG

AGRICA ◽  
2020 ◽  
Vol 1 (1) ◽  
pp. 24-28
Author(s):  
Yustina Maria Silvia Wonga Puu ◽  
Samuel Pakan ◽  
Lince Makkun
Keyword(s):  
Water Level ◽  
Insect Species ◽  
Pest Insect ◽  
Corn Sample ◽  
Damage Level ◽  
Corn Seed ◽  
Seed Damage ◽  
Level Data ◽  
Percentage Weight ◽  
Weight Decrease

This research was conducted at pest and plant disease laboratory,  faculty of agriculture Nusa Cendana University in Kupang. Corn sample is taken from fanner in Amarasi, Kupang Timur, Kupang Barat and from the trader in Oesapa, Oesao, Penfui. This research intends to inventory pest after yields corn and to know the damage level of corn in farmer and trader. This research used a 32 kg corn sample for quotation methods. The observed variable is pest insect species, imago population, damage seed percentage, Weight decrease percentage,  water level, temperature and moisturizer. Pest insect population and species observed on 1 kg corn. While seed damage and weight decrease per cent on 100 g corn seed and 5 g for water level. Data result tabulated and descriptively analyzed. The result of the research showed 1 pest insect species in the farmer corn storage is S.zeanmys and 2 species in trader corn storage is S.zeanmys and T confusum. Highest population S.zeamays founded in Penfui trader by 50,50/kg and lowest population 4,50/kg in farmer at Amarasi. T.confusum population only founded in trader not in farmer level. Highest population 2,17/kg in Penfui trader and lowest 0,17/kg in Oesapa trader. While highest seed damage percentage founded in Penfui trader by 11,13% and  lowest  1,22% in farmer at Amarasi and highest weight decrease percentage founded in Oesapa trade by 0,77% and lowest 0,25% in farmer at Kupang Barat  

Using species distribution modeling to improve conservation of medicinal plants in Southwest China

Planta Medica ◽  
2016 ◽  
Vol 81 (S 01) ◽  
pp. S1-S381
Author(s):  
B Liu ◽  
F Li ◽  
Z Guo ◽  
L Hong ◽  
W Huang ◽  
...  
Keyword(s):  
Medicinal Plants ◽  
Species Distribution ◽  
Southwest China ◽  
Species Distribution Modeling ◽  
Distribution Modeling

Preliminary Results on Aquatic Insects in the Me Linh Station for Biodiversity, Vinh Phuc Province

2017 ◽  
Vol 33 (4) ◽  
Author(s):  
Nguyen Van Hieu ◽  
Nguyen Van Vinh
Keyword(s):  
Quantitative Analysis ◽  
Aquatic Insects ◽  
Field Survey ◽  
Aquatic Insect ◽  
Insect Species ◽  
Functional Feeding Groups ◽  
Species Number ◽  
Feeding Groups ◽  
Preliminary Results

An intensive field survey on aquatic insects of Me Linh Station for Biodiversity in Vinhphuc province was conducted in December 2015. Specimens were collected at 8 different sites and aquatic insects were collected both quantitatively by Surber net and qualitatively by hand net, pond net. As a result, a total of 110 aquatic insect species belonging to 98 genera, 49 families and 9 orders were recognized. Among these, the order Ephemeroptera had the highest species number with 26 species, followed by Odonata with 25 species, Trichoptera with 18 species, Coleoptera with 15 species, Hemiptera with 11 species, Diptera with 9 species. Lepidoptera, Plecoptera and Megaloptera had the lowest of species number, represented by 3 species of Lepidoptera, 2 species of Plecoptera and 1 species of Megaloptera. Besides, the quantitative analysis results and the functional feeding groups were provided.

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