Article
Ornithology
Holly Isabelle Mynott, David Charles Lee, Rhea Aranas Santillan, Christian Jurgen Schwarz, Benjamin Tacud, Arcel Dryden Fernandez, Daphne Kerhoas
Summary: The study reveals that Visayan Hornbills prefer primary forests, with about 2109 individuals in and around the Northwest Panay Peninsula, and a total of 2673 individuals across the entire range. This highlights the crucial role of the Northwest Panay Peninsula Natural Park in the conservation of this species.
Article
Multidisciplinary Sciences
Shane Patterson, Jonathan Harris, Stephen Dinsmore, Karen Kinkead
Summary: This study evaluated the butterfly density estimates derived from Pollard-Yates line transects and distance sampling, and found that detection probability varied beyond 2.5 m, with distance sampling estimating higher butterfly densities.
Article
Ecology
Zhilin Li, Xiaoyi Shi, Jiayu Lu, Xiaohang Fu, Yu Fu, Yating Cui, Lu Chen, Li'an Duo, Le Wang, Tianming Wang
Summary: This study compared the population densities of invasive and indigenous mammals in response to urbanization in rural-urban landscapes of Tianjin, China using camera trap distance sampling. The results showed that the densities of dogs, cats, Siberian weasels, and Amur hedgehogs were influenced by the level of urbanization. Dogs and cats were only influenced by urban-related variables, while Siberian weasels and Amur hedgehogs were influenced by both urban- and nature-related variables. This highlights the importance of considering both urban and nature-related factors in urban wildlife management.
ECOLOGY AND EVOLUTION
(2023)
Article
Ecology
Kevin Felix Arno Darras, Ellena Yusti, Joe Chun-Chia Huang, Delphine-Clara Zemp, Agus Priyono Kartono, Thomas Cherico Wanger
Summary: The study demonstrates the potential of emerging technologies in biodiversity sampling, particularly in bat point counts, to improve sampling efficiency and accuracy. Bat point counts proved to be similarly effective but more time-efficient than traditional methods in sampling bat species in oil palm plantations.
ECOLOGY AND EVOLUTION
(2021)
Article
Statistics & Probability
Jonathan Niles-Weed, Quentin Berthet
Summary: This paper studies nonparametric density estimation problems with error measured in the Wasserstein distance, and provides minimax-optimal rates for two classes of densities for general Wasserstein distances. Unlike classical nonparametric density estimation, these rates also depend on whether the densities are bounded below.
ANNALS OF STATISTICS
(2022)
Article
Biodiversity Conservation
Jose L. Tella, Pedro Romero-Vidal, Francisco Denes, Fernando Hiraldo, Bernardo Toledo, Federica Rossetto, Guillermo Blanco, Dailos Hernandez-Brito, Erica Pacifico, Jose A. Diaz-Luque, Abraham Rojas, Alan Bermudez-Cavero, Alvaro Luna, Jomar M. Barbosa, Martina Carrete
Summary: Researchers found that roadside car surveys are effective in covering large areas and increasing the probability of detecting parrots, especially larger and more gregarious species. They also discovered that two different estimation methods provided similar results, but one method (DS) cannot be used to study parrot communities or monitor the population trends of all parrot species.
Article
Environmental Sciences
Cornelia S. Oedekoven, Tiago A. Marques, Danielle Harris, Len Thomas, Aaron M. Thode, Susanna B. Blackwell, Alexander S. Conrad, Katherine H. Kim
Summary: This study summarizes three methods for passive acoustic density estimation: plot sampling, DS, and SECR. Through simulation and a case study, it was found that discrepancies between estimates derived using SECR and other methods were primarily caused by manual detection procedures and errors in estimated distances between detected calls and sensors.
ENVIRONMENTAL AND ECOLOGICAL STATISTICS
(2022)
Article
Multidisciplinary Sciences
Ziwei Zhao, Zuoquan Zhao, Pei Zhang
Summary: This study proposes an ellipse-based approach to identify industrial clusters, utilizing group-based nearest neighbor and spatial compactness matrix to determine the parameters of the ellipses. The cutoff criterion is used to determine the border point of the clusters based on significant changes, especially in the area. The approach is illustrated using the location pattern of firms in Shanghai City and compared with four well-known clustering methods, showing potential for future industrial clustering research.
SCIENTIFIC REPORTS
(2023)
Article
Ornithology
Pooja Yashwant Pawar, Divya Mudappa, T. R. Shankar Raman
Summary: The study conducted monthly surveys of Great Hornbills and Malabar Grey Hornbills in shade-coffee plantations and continuous rainforests over 15 months. While both hornbill species were found to use the habitats year-round, density estimates were higher in the protected area, especially during nesting seasons. Male bias in the sex ratio of observed adult birds during the nesting season indicated a higher proportion of breeding pairs in the protected area compared to plantations.
Article
Engineering, Marine
Aidi Yu, Yujia Wang, Sixing Zhou
Summary: A distance-independent background light estimation method is proposed for underwater overhead images, which addresses the challenge of the absence of the farthest point. The method selects the optimal solution using a global perspective and estimates the background light by minimizing the loss function. It also employs a translation function to adjust the transmission map values and capitalizes on image information redundancy and similarity of adjacent frames for higher computational efficiency.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Biodiversity Conservation
Rajan Amin, Hannah Klair, Tim Wacher, Constant Ndjassi, Andrew Fowler, David Olson, Tom Bruce
Summary: Traditional transect survey methods may underestimate common species and lack data for rarer species, leading to the increasing use of camera trapping in forest habitats. Utilizing distance sampling and active time estimates to correct for biases in density estimates, along with covariate distance sampling techniques, improves accuracy for monitoring forest antelope species and supports conservation efforts.
Article
Geochemistry & Geophysics
Yunping Chen, Chuangjiang Lu, Xuan Huang, Siyuan Xie, Yuan Sun
Summary: This study proposes a novel approach called the vector distance algorithm (VDA) to quantitatively evaluate the accuracy of burned area (BA) estimations. The effectiveness of this approach is validated using Sentinel-2 images for BA estimation and field survey and GaoFen-6 (GF-6) image for accuracy evaluation based on VDA. The results show that the proposed algorithm provides both the percent accuracy and confidence interval of the BA estimation, and confirms the accuracy of BA extracted by the normalized burn ratio (NBR) index while detecting large error in the normalized difference vegetation index (NDVI) index.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2023)
Article
Engineering, Mechanical
Zhuo Wang, Pengjian Shang
Summary: This paper proposes a new approach called generalized distance components (GDISCO) for estimating the complexity of time series from the perspectives of time and space. Compared with existing methods, GDISCO not only provides the total complexity, but also calculates the complexity within and between the components of pooled samples. The effectiveness of GDISCO is verified through simulated data, showing consistent and monotonic variation of the complexity measure as parameters change.
NONLINEAR DYNAMICS
(2022)
Article
Chemistry, Multidisciplinary
Kai Guo, Hu Ye, Junhao Gu, Ye Tian
Summary: Absolute orientation estimation is a critical step in computer vision. This paper proposes a fast and simple method for absolute orientation estimation using a single vanishing point. The method utilizes the inertial measurement unit to simplify the estimation process and uses a non-linear optimization algorithm for solution refining. Experimental results demonstrate that the proposed method outperforms state-of-the-art solvers in terms of numerical stability, noise sensitivity, and computational speed in both synthetic data and real images.
APPLIED SCIENCES-BASEL
(2022)
Article
Mathematics, Interdisciplinary Applications
Alan Benson, Nial Friel
Summary: This study examines the COM-Poisson distribution and introduces a new rejection sampler to reduce the CPU time required for inference in COM-Poisson regression models. By developing this sampler, unbiased estimators for any intractable likelihood function with associated rejection sampler can be constructed, which is useful for model selection or for use in pseudo-marginal MCMC algorithms.
