Results 281 to 290 of about 284,614 (340)

Contrasting effects of temperature across trophic levels in geothermally warmed soil food webs

Oikos, EarlyView.
Global warming is altering the structure and dynamics of ecological communities, with significant consequences for soil food webs. Rising temperatures are expected to accelerate metabolic rates in organisms, potentially altering species interactions, and the structure and energetics of food webs.
Estela Folch Chaos, Charlotte Alster, Louis Schipper, Andrew D. Barnes   +3 more
wiley   +1 more source

Understanding smallholder decision‐making to increase farm tree diversity: Enablers and barriers for forest landscape restoration in Western Kenya

People and Nature, EarlyView.
Abstract Integrating diverse trees and shrubs (hereafter ‘trees’) in agricultural landscapes has emerged as a crucial nature‐based solution to the triple challenge of biodiversity loss, climate change and food security. The potential benefits of on‐farm trees for both people and nature, however, are often constrained by inadequate consideration of ...
Ennia Bosshard, Harrison Carter, Lillian Aluso, Reuben Chumba, Christopher N. Kaiser‐Bunbury, Chris J. Kettle, Ana Nuno   +6 more
wiley   +1 more source

Do cultural taboos regulate hunting in transitioning Indigenous communities? The case of the Idu Mishmi of Northeast India

People and Nature, EarlyView.
Abstract There is rising recognition of resource‐use rights of Indigenous Peoples and Local Communities (IPLCs) within wildlife conservation. Historically, sociocultural institutions ensured wildlife sustainability in many IPLC areas. However, the future viability of such institutions is uncertain as IPLCs change in response to external pressures and ...
Sahil Nijhawan, Achili Mihu, Iho Tapo, Alinji Rondo, Jibi Pulu, Marcus Rowcliffe   +5 more
wiley   +1 more source

New nonparametric measures for instantaneous and granger-causality tail co-dependence. [PDF]

J Appl Stat
Diks C, Wolski M.
europepmc   +1 more source

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Testing for time-varying Granger causality

The Stata Journal, 2022
The concept of Granger causality is an important tool in applied macroeconomics. Recently, recursive econometric methods have been developed to analyze the temporal stability of Granger-causal relationships. This article offers an implementation of these
Christopher F. Baum, S. Hurn, Jesús Otero   +2 more
semanticscholar   +1 more source

Investor attention and cryptocurrency: Evidence from wavelet-based quantile Granger causality analysis

, 2021
This paper investigates the relationship between investor attention and the major cryptocurrency markets by wavelet-based quantile Granger causality. The wavelet analysis illustrates the interdependence between investor attention and the cryptocurrency ...
Rong Li, Sufang Li, Di Yuan, Huiming Zhu
semanticscholar   +1 more source

Granger Causality

2011
As one of the most successful approaches to uncover complex network structures from experimental data, Granger causality has been widely applied to various reverse engineering problems. This chapter first reviews some current developments of Granger causality and then presents the graphical user interface (GUI) to facilitate the application.
Tian Ge, Jianfeng Feng
  +4 more sources

A Copula Nonlinear Granger Causality

Economic Modelling, 2020
We propose a new copula nonlinear Granger causality test that is more robust than the current available linear and nonlinear Granger causality tests when there exists an asymmetric and nonlinear directional dependence.
Jong‐Min Kim, Namgil Lee, Sun Young Hwang   +2 more
semanticscholar   +1 more source

Investor attention and crude oil prices: Evidence from nonlinear Granger causality tests

Energy Economics, 2019
Using the Google search volume index (GSVI) to measure investor attention, this paper investigates the relationships between investor attention and crude oil prices for the main crude oil markets worldwide.
Sufang Li, Hu Zhang, Di Yuan
semanticscholar   +1 more source

Conditional Granger causality and partitioned Granger causality: differences and similarities

Biological Cybernetics, 2015
Neural information modeling and analysis often requires a measurement of the mutual influence among many signals. A common technique is the conditional Granger causality (cGC) which measures the influence of one time series on another time series in the presence of a third. Geweke has translated this condition into the frequency domain and has explored
Malekpour, Sheida, Sethares, William A.
openaire   +2 more sources