Biochar Application and Soil Transfer in Tree Restoration: A Meta-Analysis and Field Experiment

2021 ◽  
Vol 39 (3) ◽  
pp. 158-167
Author(s):  
Edith Juno ◽  
Inés Ibáñez
2014 ◽  
Vol 34 (13) ◽  
Author(s):  
田康 TIAN Kang ◽  
赵永存 ZHAO Yongcun ◽  
徐向华 XU Xianghua ◽  
黄标 HUANG Biao ◽  
孙维侠 SUN Weixia ◽  
...  

2015 ◽  
Vol 105 (2) ◽  
pp. 234-244 ◽  
Author(s):  
A.B. Allema ◽  
W. van der Werf ◽  
J.C.J. Groot ◽  
L. Hemerik ◽  
G. Gort ◽  
...  

AbstractQuantification of the movement of insects at field and landscape levels helps us to understand their ecology and ecological functions. We conducted a meta-analysis on movement of carabid beetles (Coleoptera: Carabidae), to identify key factors affecting movement and population redistribution. We characterize the rate of redistribution using motility μ (L2 T−1), which is a measure for diffusion of a population in space and time that is consistent with ecological diffusion theory and which can be used for upscaling short-term data to longer time frames. Formulas are provided to calculate motility from literature data on movement distances. A field experiment was conducted to measure the redistribution of mass-released carabid, Pterostichus melanarius in a crop field, and derive motility by fitting a Fokker–Planck diffusion model using inverse modelling. Bias in estimates of motility from literature data is elucidated using the data from the field experiment as a case study. The meta-analysis showed that motility is 5.6 times as high in farmland as in woody habitat. Species associated with forested habitats had greater motility than species associated with open field habitats, both in arable land and woody habitat. The meta-analysis did not identify consistent differences in motility at the species level, or between clusters of larger and smaller beetles. The results presented here provide a basis for calculating time-varying distribution patterns of carabids in farmland and woody habitat. The formulas for calculating motility can be used for other taxa.


Author(s):  
Gavin B. Stewart ◽  
Isabelle M. Côté ◽  
Hannah R. Rothstein ◽  
Peter S. Curtis

This chapter discusses the initiation of the process of systematic research synthesis. Without a systematic approach to defining, obtaining, and collating data, meta-analyses may yield precise but erroneous results, with different types of sampling error (biases) and excess subjectivity in choice of methods and definition of thresholds; these devalue the rigor of any statistical approaches employed. The chapter considers exactly the same issues that face an ecologist designing a field experiment. What's the question? How can I define my sampling universe? How should I collect my data? What analyses should I undertake? How should I interpret my results robustly? These questions are considered in the context of research synthesis.


PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0260048
Author(s):  
Dikla Perez ◽  
Yael Steinhart ◽  
Amir Grinstein ◽  
Meike Morren

Consumers often make decisions that reflect either personal or social identities. In many cases, such decisions are made along a sequence. Our research introduces a central factor that influences consumers’ likelihood of expressing a consistent identity type along a sequence of decisions: the extent to which their usage of the product involved in the first decision is expected to be observable by others (the product’s expected visibility). A field experiment, and four lab studies, coupled with an internal meta-analysis, show that when the product involved in the first decision has high (as opposed to low) expected visibility, consumers are more likely to make a subsequent decision that is consistent with the first. Results show that self-presentation mediates this effect, and suggest that low integration between the identities involved in the decisions might attenuate it. Our findings offer implications for identity research and practical implications for marketers seeking to develop products and design communications that encourage consistent (or inconsistent) behavior.


2021 ◽  
Author(s):  
Andreas Lachner ◽  
Leonie Jacob ◽  
Vincent Hoogerheide

Research demonstrated that oral explaining to a fictitious student improves learning. Whether these findings replicate in written contexts, and whether instructional explaining is more effective than other explaining strategies such as self-explaining is unclear. In two experiments, we compared written instructional explaining to written self-explaining, and also included written retrieval and a baseline control condition. In Experiment 1 (N = 147, between-participants-design, laboratory experiment), we obtained no effect of explaining. In Experiment 2 (N = 51, within-participants-design, field-experiment), only self-explaining was more effective than our control conditions for attaining transfer. Self-explaining was more effective than instructional explaining. A cumulating meta-analysis on students’ learning revealed a small effect of instructional explaining (conceptual knowledge: g = 0.29, transfer: g = 0.22), which was moderated by the modality of explaining (oral explaining > written explaining). These findings indicate that when students writing explanations are better off self-explaining than explaining to a fictitious student.


2021 ◽  
Author(s):  
Yali Wei ◽  
Yan Meng ◽  
Na Li ◽  
Qian Wang ◽  
Liyong Chen

The purpose of the systematic review and meta-analysis was to determine if low-ratio n-6/n-3 long-chain polyunsaturated fatty acid (PUFA) supplementation affects serum inflammation markers based on current studies.


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