scholarly journals Habitat destruction in wetland affects Ostracoda (Crustacea) species occurrence patterns amid different aquatic habitats

2022 ◽  
Author(s):  
Okan Külköylüoğlu ◽  
Beyza Çelikbaş ◽  
Alper Ataman
Keyword(s):  
Habitat Destruction ◽  
Aquatic Habitats ◽  
Species Occurrence ◽  
Occurrence Patterns

scholarly journals Soundscapes predict species occurrence in tropical forests

2020 ◽  
Author(s):  
Sarab S. Sethi ◽  
Robert M. Ewers ◽  
Nick S. Jones ◽  
Jani Sleutel ◽  
Adi Shabrani ◽  
...  
Keyword(s):  
Large Scale ◽  
Area Under The Curve ◽  
Forest Degradation ◽  
Common Species ◽  
List Type ◽  
Species Occurrence ◽  
Point Count ◽  
Audio Data ◽  
Taxonomic Groups ◽  
Occurrence Patterns

AbstractAccurate occurrence data is necessary for the conservation of keystone or endangered species, but acquiring it is usually slow, laborious, and costly. Automated acoustic monitoring offers a scalable alternative to manual surveys, but identifying species vocalisations requires large manually annotated training datasets, and is not always possible (e.g., for silent species). A new, intermediate approach is needed that rapidly predicts species occurrence without requiring extensive labelled data.We investigated whether local soundscapes could be used to infer the presence of 32 avifaunal and seven herpetofaunal species across a tropical forest degradation gradient in Sabah, Malaysia. We developed a machine-learning based approach to characterise species indicative soundscapes, training our models on a coarsely labelled manual point-count dataset.Soundscapes successfully predicted the occurrence of 34 out of the 39 species across the two taxonomic groups, with area under the curve (AUC) metrics of up to 0.87 (Bold-striped Tit-babbler Macronus bornensis). The highest accuracies were achieved for common species with strong temporal occurrence patterns.Soundscapes were a better predictor of species occurrence than above-ground biomass – a metric often used to quantify habitat quality across forest degradation gradients.Synthesis and applications: Our results demonstrate that soundscapes can be used to efficiently predict the occurrence of a wide variety of species. This provides a new direction for audio data to deliver large-scale, accurate assessments of habitat suitability using cheap and easily obtained field datasets.

scholarly journals Occurrence Patterns, Photoperiod and Dispersion Ability of the Non-Marine Ostracoda (Crustacea) in Shallow Waters

2020 ◽  
Vol 21 (02) ◽  
pp. 73-85
Author(s):  
Okan Külköylüoğlu ◽  
Mehmet Yavuzatmaca ◽  
Derya Akdemir
Keyword(s):  
Habitat Preferences ◽  
Sampling Time ◽  
Shallow Waters ◽  
Species Occurrence ◽  
Natural Habitats ◽  
Effective Factor ◽  
Species Pairs ◽  
Occurrence Pattern ◽  
Species Specific ◽  
Occurrence Patterns

Patterns of species occurrence, dispersion ability, habitat preferences and sampling time can be important factors on the species composition. To understand effective roles of these factors on non-marine ostracods, samples were collected from 98 different shallow aquatic bodies from Osmaniye and Kilis provinces in Turkey. Total of 16 and 12 species were identified from the two provinces, respectively. All species are reported new for these provinces. Three species (Heterocypris incongruens, Ilyocypris inermis, I. bradyi) demonstrated the most frequent occurrences and abundances in up to seven different habitats. Species diversity and abundance were at least two times higher in natural habitats (streams, creeks) than artificial habitats (reservoirs, troughs). Numbers of species with and without swimming setae on the second antenna was not significantly different between lentic and lotic habitats. A positive co-occurrence pattern was found between Neglecandona neglecta and I. inermis while the rest of the species pairs exhibited random co-occurrences to each other. Canonical Correspondence Analysis showed 80.8% of correlation between species and environmental variables when water temperature was the major effective factor (P<0.05) on species occurrence. Sampling time did not make difference on the numbers of species between morning (06:30-11:58 a.m.) and after noon (12:05-19:52 p.m.). Results suggest that species occurrence seems to be related to species-specific characteristics in its n-dimensional niche where species deals with several other factors.

The comparative analysis of species occurrence patterns on archipelagos

Oecologia ◽  
1987 ◽  
Vol 73 (2) ◽  
pp. 282-287 ◽  
Author(s):  
R. T. Ryti ◽  
M. E. Gilpin
Keyword(s):  
Comparative Analysis ◽  
Species Occurrence ◽  
Occurrence Patterns

scholarly journals The Influence of the pH and Salinity of Water in Breeding Sites on the Occurrence and Community Composition of Immature Mosquitoes in the Green Belt of the City of São Paulo, Brazil

Insects ◽  
2021 ◽  
Vol 12 (9) ◽  
pp. 797
Author(s):  
Laura Cristina Multini ◽  
Rafael Oliveira-Christe ◽  
Antônio Ralph Medeiros-Sousa ◽  
Eduardo Evangelista ◽  
Karolina Morales Barrio-Nuevo ◽  
...  
Keyword(s):  
Species Composition ◽  
Community Composition ◽  
Physicochemical Parameters ◽  
Mosquito Species ◽  
Breeding Site ◽  
Aquatic Habitat ◽  
Aquatic Habitats ◽  
Species Occurrence ◽  
Different Types ◽  
The City

The physicochemical parameters of water, such as pH, salinity, conductivity, and total dissolved solids, can influence mosquito larval development, survival, and abundance. Therefore, it is important to elucidate how these factors influence mosquito occurrence. We hypothesized that the occurrence and community composition of immature mosquito species are driven not only by the availability of suitable aquatic habitats, but also by the physicochemical factors of these habitats. The primary objective of this study was therefore to investigate the influence of the physicochemical parameters of water in different types of aquatic habitats on the occurrence of mosquito species in two remnants of Atlantic Forest in the city of São Paulo, Brazil. Collections of immature mosquitoes and assessment of the physicochemical characteristics of the water in the collection sites were carried out for twelve months. The variation in species composition and occurrence with the measured physicochemical parameters and the type of breeding site was assessed using constrained ordination methods. The results indicate that there was a statistically significant difference in species composition as a function of the different types of aquatic habitats, and that pH had an influence on species occurrence even when the variance explained by the type of aquatic habitat was removed from the analysis. There was a statistically significant association between mosquito species occurrence and pH and salinity, and the former had a significant influence on the mosquito species collected regardless of the type of aquatic habitat, showing that the pH of the breeding site water is an important factor in driving mosquito population dynamics and species distribution.

scholarly journals A comment on priors for Bayesian occupancy models

2017 ◽  
Author(s):  
Joseph M. Northrup ◽  
Brian D. Gerber
Keyword(s):  
Bayesian Modeling ◽  
Prior Information ◽  
Sensitivity Analyses ◽  
Occupancy Models ◽  
Species Occurrence ◽  
Imperfect Detection ◽  
Data Set ◽  
Online Tool ◽  
Influence Parameter ◽  
Occurrence Patterns

AbstractUnderstanding patterns of species occurrence and the processes underlying these patterns is fundamental to the study of ecology. One of the more commonly used approaches to investigate species occurrence patterns is occupancy modeling, which can account for imperfect detection of a species during surveys. In recent years, there has been a proliferation of Bayesian modeling in ecology, which includes fitting Bayesian occupancy models. The Bayesian framework is appealing to ecologists for many reasons, including the ability to incorporate prior information through the specification of prior distributions on parameters. While ecologists often intend to choose priors so that they are “uninformative”; or “;vague”;, such priors can easily be unintentionally highly informative. Here we report on how the specification of a “vague” normally distributed (i.e., Gaussian) prior on coefficients in Bayesian occupancy models can unintentionally influence parameter estimation. Using both simulation and empirical examples, we illustrate how this issue likely compromises inference about species-habitat relationships. While the occurrence of this issue likely depends on the data set, researchers fitting Bayesian occupancy models should conduct sensitivity analyses to ensure intended inference, or use priors other than those most commonly used in the literature. We provide further suggestions for addressing this issue in occupancy studies, and an online tool for exploring this issue under different contexts.

scholarly journals Plant species occurrence patterns in Eurasian grasslands reflect adaptation to nutrient ratios

Oecologia ◽  
2018 ◽  
Vol 186 (4) ◽  
pp. 1055-1067 ◽  
Author(s):  
Ineke S. Roeling ◽  
Wim A. Ozinga ◽  
Jerry van Dijk ◽  
Maarten B. Eppinga ◽  
Martin J. Wassen
Keyword(s):  
Plant Species ◽  
Nutrient Ratios ◽  
Species Occurrence ◽  
Occurrence Patterns

Isolation and characterization of ten mycelial organisms from different aquatic habitats of Dhaka, Bangladesh

1970 ◽  
Vol 36 (1) ◽  
pp. 61-68
Author(s):  
Mahbubar Rahman Khan ◽  
Mihir Lal Saha ◽  
Tania Hossain
Keyword(s):  
Aquatic Habitats ◽  
Isolation And Characterization

Bangladesh J. Bot. 36(1): 61-68, 2007 (June)

STUDY OF POND STATUS IN INDIA : A REVIEW

2017 ◽  
Vol 23 (1) ◽  
Author(s):  
V.K. YADAV ◽  
SONAM SHARMA ◽  
A.K. SRIVASTAVA ◽  
P.K. KHARE
Keyword(s):  
Fresh Water ◽  
Land Surface ◽  
Human Population ◽  
Climate Changes ◽  
Hydrological Cycle ◽  
Habitat Destruction ◽  
Conservation Strategy ◽  
Goods And Services ◽  
Human Use ◽  
Over Exploitation

Ponds are an important fresh water critical ecosystem for plants and animals providing goods and services including food, fodder, fish, irrigation, hydrological cycle, shelter, medicine, culture, aesthetic and recreation. Ponds cover less than 2 percent of worlds land surface. Ponds are important source of fresh water for human use. These are threatened by urbanization, industrialization, over exploitation, fragmentation, habitat destruction, pollution, illegal capturing of land and climate changes. These above factors have been destroying ponds very rapidly putting them in danger of extinction of a great number of local biodiversity. It is necessary to formulate a correct conservation strategy for pond restoration in order to meet the growing needs of fresh water by increasing the human population. Some measures have been compiled and proposed in the present review.

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