Results 191 to 200 of about 220,397 (309)

Updated Chorotypes of Terrestrial Vertebrates Shed New Light on Zoogeographical Regions in China

Integrative Zoology, EarlyView.
Chorotype represents a fundamental concept for identifying groups of species that share similar distribution patterns. However, the last comprehensive revision of animal chorotypes in China was performed more than a decade ago. Here, we update the chorotype classifications for 1040 species and propose an updated zoogeographical regionalization scheme ...
Baoming Zhang, Minghui Zhou, Zhipeng Xie, Ludan Zhang, Haoting Duan, Jiehua Yu, Jiekun He   +6 more
wiley   +1 more source

Evaluating the impact of anthropogenic activities and climate change on distribution dynamics and habitat suitability of Lophira alata in Nigeria. [PDF]

Sci Rep
Oyebanji O, Chukwuma E, Mambo WW, Adeonipekun PA, Bolaji T, Agbo-Adediran AO, Nneji LM.   +6 more
europepmc   +1 more source

Host Phylogeny and Feeding Habit Jointly Govern Mammalian Gut Microbiota Composition

Integrative Zoology, EarlyView.
Herbivores showed higher alpha diversity than carnivores/omnivores, while omnivores had the highest beta diversity. Host phylogeny influenced gut microbiota more strongly in herbivores/omnivores, with phylogenetic distance correlating to microbiota dissimilarity.
Chaoyuan Cheng, Hongjuan Zhai, Jiajia Feng, Zhibin Zhang   +3 more
wiley   +1 more source

Integration of geospatial techniques and artificial neural networks for groundwater potential zonation in India. [PDF]

Sci Rep
Badapalli PK, Nakkala AB, Pujari PS, Gugulothu S, Kottala RB, Mannala P, Alkhuraiji WS, Thamaga KH, Zhran M.   +8 more
europepmc   +1 more source

Estimating the Carbon Footprint of External Beam Radiotherapy: Should This Be a Concern for LMICs?

Journal of Medical Imaging and Radiation Oncology, EarlyView.
ABSTRACT Purpose This study aims to estimate the carbon footprint associated with external beam radiotherapy in a low‐ and middle‐income country (LMIC) context, specifically at the Uganda Cancer Institute (UCI), and to evaluate whether sustainability should be a priority alongside treatment access in such radiation therapy settings.
Afua A. Yorke, Komakech Ignatius, John L. Schreiner, Tomas Kron   +3 more
wiley   +1 more source

Leveraging remote sensing, geophysical methods and AHP model to determine optimal locations for green hydrogen production on Egypt's Mediterranean coast. [PDF]

Sci Rep
El Hateem YY, Diab AI, El-Sayed HM, El Maghraby MMS, Fahil AS.   +4 more
europepmc   +1 more source

Uncovering temporal patterns of wildlife activity, habitat use and habitat preference from camera‐trap data

Methods in Ecology and Evolution, EarlyView.
Abstract An understanding of habitat use and levels of active behaviour is foundational to wildlife behaviour, ecology, conservation and management. These variables are commonly measured by tracking individuals in space and time using biologging. In principle, camera‐trap data also contain information about both activity level and habitat use; however,
J. Marcus Rowcliffe, Laurens R. Dijkhuis, Patrick A. Jansen   +2 more
wiley   +1 more source

Cultural ecology perspective on mechanisms influencing the spatial morphology of traditional villages in Suichang County, China. [PDF]

Sci Rep
Zhao X, Shi L, Liu F.
europepmc   +1 more source

Burrow Persistence and Spatial Distribution of Federally and State‐Protected Gopher Tortoise (Gopherus polyphemus) Populations in Southwest Alabama

Animal Conservation, EarlyView.
The gopher tortoise (Gopherus polyphemus), a keystone species and ecosystem engineer, has declined by ~80% over the past century due to primarily habitat loss. In a 28‐year resurvey of federally protected Mobile County and state‐protected Baldwin County, we found tortoise populations persisted at ~59% and ~31% of sites, respectively, with significant ...
Robin B. Lloyd Jr., Jeremiah A. Henning, Steven R. Schultze, David H. Nelson, Adam D. Chupp   +4 more
wiley   +1 more source

Desertification monitoring in arid oasis environment using Google Earth Engine, machine learning, and field-based hydrogeological assessment. [PDF]

Sci Rep
Moumane A, Azougarh Y, Enajar AA, Alkhuraiji WS, Bahdou I, Al Karkouri J, Nahas F, Rebouh NY, Youssef YM.   +8 more
europepmc   +1 more source