Results 41 to 50 of about 2,754 (181)

A new method to identify and explain sources of precipitation modification, illustrated for the western Netherlands

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study develops a method to identify the source areas of precipitation events, as illustrated for the western part of the Netherlands. Radar‐based precipitation data are traced back to their source areas and machine‐learning techniques are used to identify hypothesized causes: urban heat, surface roughness, and air pollution. We find that urban and
Jelmer van der Graaff, Gert‐Jan Steeneveld   +1 more
wiley   +1 more source

Incorporating environmental DNA metabarcoding for improved benthic biodiversity and habitat mapping

Remote Sensing in Ecology and Conservation, EarlyView.
Seafloor imagery is commonly used to collect information about the distribution of benthic organisms in order to generate habitat and biodiversity maps. Recent advances in genomics (e.g., environmental DNA; eDNA) show potential to complement video surveys for habitat mapping, but there have been few examples testing this.
Rylan J. Command, Shreya Nemani, Benjamin Misiuk, Mehrdad Hajibabaei, Nicole Fahner, Emily Porter, Greg Singer, Beverly McClenaghan, Katleen Robert   +8 more
wiley   +1 more source

Surface roughness measurements using UAV LiDAR and analysis of uncertainty factors

River, EarlyView.
Abstract Surface root mean square height (SRMSH) is a key parameter characterizing surface roughness; it reflects soil hydrological properties and influences related physical processes. LiDAR offers an effective means for measuring SRMSH over large areas, yet the method involves several uncertainty factors that require further investigation.
Xiangdong Qin, Zhiguo Pang, Jingxuan Lu
wiley   +1 more source

Assessment of soil property spatial variation based on the geostatistical simulation [PDF]

Desert, 2011
The main objective in the present study was to assess the spatial variation of chemical and physical soil properties and then use this information to select an appropriate area to install a pasture rehabilitation experiment in the Zereshkin region, Iran.
Mohammad Jafari, M Tahmoures, H Mohammad Asgari, M Biniaz   +3 more
doaj   +1 more source

Landscape factors influencing predation on capercaillie nests by two competing mesopredators: pine marten and red fox

Wildlife Biology, EarlyView.
Predation by pine martens Martes martes and red foxes Vulpes vulpes is an important factor influencing the population dynamics of capercaillie Tetrao urogallus. However, there is a knowledge gap regarding the relative effects of these mesopredators on the reproductive success of capercaillie. To better understand how various landscape factors influence
Siow Yan Jennifer Angoh, Scott Michael Brainerd, Olivier Devineau, Morten Odden, Torfinn Jahren   +4 more
wiley   +1 more source

Analyzing the effect of clustered spatial distribution of mount Atlas mastic (Pistacia atlantica Desf.) trees on their biometric characteristics using mark-correlation function in Baneh Research Forest, Fars province [PDF]

تحقیقات جنگل و صنوبر ایران, 2017
The spatial distribution analysis of trees in arid and semi-arid regions presents valuable information about their interactions and impacts on one another.
Narges Kariminejad, Seyyed Yousef Erfanifard, Seyyed Rashid Fallah Shamsi, Hossein Sadeghi   +3 more
doaj   +1 more source

Elevation, soil pH and calcium availability shape regional and local scale spatial patterns of PhoD gene abundance in tropical and subtropical forests

Functional Ecology, EarlyView.
Read the free Plain Language Summary for this article on the Journal blog. Abstract Organic phosphorus mineralization is a critical process in the phosphorus cycle, governing phosphorus bioavailability for plants. The PhoD gene, which encodes the key enzyme alkaline phosphatase, serves as a valuable biomarker for this process.
Sandhya Mishra, Shangwen Xia, Wenting Wang, Xiaodong Yang   +3 more
wiley   +1 more source

Accounting for spatial interactions in the upscaling of ecosystem services

Methods in Ecology and Evolution, EarlyView.
Abstract Maps of ecosystem service (ES) supply are frequently used to guide spatial planning, policymaking and ecosystem management. However, these are typically based upon coarse land‐cover proxies. This approach lacks a strong mechanistic basis and neglects spatial biodiversity dynamics and interactions among landscape properties that can modify ES ...
Andrea Larissa Boesing, Gaëtane Le Provost, Margot Neyret, Anja Linstädter, Javier Muro, Jörg Müller, Kirsten Jung, Markus Fischer, Maximilian Lange, Olena Dubovyk, Paul Magdon, Ralph Bolliger, Sophia Leimer, Steffen Boch, Swen Renner, Till Kleinebecker, Ute Hamer, Valentin H. Klaus, Wolfgang Wilcke, Peter Manning   +19 more
wiley   +1 more source

On Spatial Point Processes With Composition‐Valued Marks

International Statistical Review, EarlyView.
Summary Methods for marked spatial point processes with scalar marks have seen extensive development in recent years. While the impressive progress in data collection and storage capacities has yielded an immense increase in spatial point process data with highly challenging non‐scalar marks, methods for their analysis are not equally well developed ...
Matthias Eckardt, Mari Myllymäki, Sonja Greven   +2 more
wiley   +1 more source

Automatic variogram inference using pre-trained Convolutional Neural Networks

Applied Computing and Geosciences
A novel approach is presented for inferring covariance functions from sparse data using Convolutional Neural Networks (CNNs). Two workflows are proposed: (1) direct prediction of variogram model parameters, and (2) prediction of experimental variogram ...
Mokdad Karim, Koushavand Behrang, Boisvert Jeff   +2 more
doaj   +1 more source