Flower strip effectiveness for pollinating insects in agricultural landscapes depends on established contrast in habitat quality: A meta-analysis
收藏DataONE2023-07-12 更新2024-06-08 收录
下载链接:
https://search.dataone.org/view/sha256:06bf82a364b3b6a40b167fa85654de5409ae2c2ddb5d9441e2b367310deed137
下载链接
链接失效反馈官方服务:
资源简介:
Flower strips have become a prevalent measure in agricultural landscapes to counteract biodiversity loss and especially promote pollinators. Although their benefits for pollinating insects have been frequently evaluated and reported, generalized conclusions about optimal settings for effective flower strips are still difficult. From the perspective of pollinators, flower strips vary distinctly in habitat quality, and the same applies for the control sites selected for scientific studies.
In this study, we used a meta-analytic approach based on a systematic review of recent studies (2009-2020) to analyze the relationship between flower strip effectiveness for pollinators and the contrast in habitat quality between flower strips and control sites. We extracted 350 data entries from 29 out of 172 studies based on available data for richness or abundance of the pollinator taxa groups Apiformes, Lepidoptera and Syrphidae as response variables, for both flower strips and control treatments. A..., This dataset was collected from a systematic literature review based on a search in ISI Web of Science (WoS) Core collection and Elsevier Scopus databases. In total, 350 data entries from 29 out of 172 studies were extracted based on screening titles, abstracts, and full texts. Each data entry corresponds to a paired result on species richness (richness data) or pollinator abundance (abundance data) as compared between treatments (flower strip â control) per publication source. Data was gathered from the main text, tables and appendixes of publications or extracted from graphical results according to the details in the published article Pérez-Sánchez et al. (2023)., The dataset includes csv files (richness_data.csv and abundance_data.csv together with data_legend.txt). Missing values due to missing data from literature sources are labeled as \"NA\".
创建时间:
2025-07-26



