A5041626013- Ecology and Vegetation Dynamics Studies
- Species Distribution and Climate Change
- Land Use and Ecosystem Services
- Forest Ecology and Biodiversity Studies
- Forest Management and Policy
- Wildlife Ecology and Conservation
- Forest ecology and management
- Plant and animal studies
- Conservation, Biodiversity, and Resource Management
- Meta-analysis and systematic reviews
- Rangeland and Wildlife Management
- Data Analysis with R
- Fire effects on ecosystems
- Rangeland Management and Livestock Ecology
- Urban Green Space and Health
- Animal Ecology and Behavior Studies
- Sustainability and Climate Change Governance
- Artificial Intelligence in Healthcare and Education
- Sustainable Agricultural Systems Analysis
- Urban Agriculture and Sustainability
- Botany, Ecology, and Taxonomy Studies
- Peatlands and Wetlands Ecology
- Environmental Conservation and Management
- Morphological variations and asymmetry
- Insect and Arachnid Ecology and Behavior
University of Reading
2022-2025
University of Southampton
2015-2025
German Centre for Integrative Biodiversity Research
2022-2023
Forest Research
2021
Meta-analysis plays a crucial role in syntheses of quantitative evidence ecology and biodiversity conservation. The reliability estimates meta-analyses strongly depends on unbiased sampling primary studies. Although earlier studies have explored potential biases ecological meta-analyses, reported statistical results associated study characteristics published different languages never been tested environmental sciences. We address this knowledge gap by systematically searching comparing...
The past 35 years has seen an accumulation of empirical evidence suggesting a positive association between greenspace and mental health. Existing reviews are narrow in scope, do not adequately represent the broad range disciplines working this field. This study is first systematic map studies investigating effects on A total 6059 papers were screened for their relevance, 276 which met inclusion criteria map. revealed several methodological limitations hindering practical applications...
Meta-analysis is a quantitative way of synthesizing results from multiple studies to obtain reliable evidence an intervention or phenomenon. Indeed, increasing number meta-analyses are conducted in environmental sciences, and resulting meta-analytic often used policies decision-making. We survey recent sciences found poor standards current practice reporting. For example, only ~ 40% the 73 reviewed reported heterogeneity (variation among effect sizes beyond sampling error), publication bias...
ABSTRACT Ecologists routinely use statistical models to detect and explain interactions among ecological drivers, with a goal evaluate whether an effect of interest changes in sign or magnitude different contexts. Two fundamental properties are often overlooked during the process hypothesising, visualising interpreting between drivers: measurement scale – response is analysed on additive multiplicative scale, such as ratio logarithmic scale; symmetry dependencies considered both directions....
A systematic review and meta-analysis were used to assess the current state of knowledge quantify effects land use change (LUC) second generation (2G), non-food bioenergy crops on soil organic carbon (SOC) greenhouse gas (GHG) emissions relevance temperate zone agriculture. Following analysis from 138 original studies, transitions arable short rotation coppice (SRC, poplar or willow) perennial grasses (mostly Miscanthus switchgrass) resulted in increased SOC (+5.0 ± 7.8% +25.7 6.7%...
Ecological thresholds comprise relatively fast changes in ecological conditions, with respect to time or external drivers, and are an attractive concept both scientific policy arenas. However, there is considerable debate concerning the existence, underlying mechanisms, generalizability of across a range subdisciplines. Here, we usethe general scale as unifying framework which systematically navigate variability within threshold research. We review literature show how observational adopted...
The use of functional information in the form species traits plays an important role explaining biodiversity patterns and responses to environmental changes. Although relationships between composition, their traits, environment have been extensively studied on a case-by-case basis, results are variable, it remains unclear how generalizable these across ecosystems, taxa spatial scales. To address this gap, we collated 80 datasets from trait-based studies into global database for metaCommunity...
Abstract Deer ( Cervidae ) populations are increasing across the temperate zone, threatening forest biodiversity and ecosystem services. However, fundamental question of what factors make a susceptible to deer damage remains unanswered, hampering efforts mitigate against damage. Previous research has assumed that density consistently increases effect is likely be contingent on range other drivers, such as climate landscape structure. Mitigation measures expensive, so sound understanding...
Abstract Anthropogenic climate change is altering precipitation regimes at a global scale. While changes have been linked to in the abundance and diversity of soil litter invertebrate fauna forests, general trends remained elusive due mixed results from primary studies. We used meta‐analysis based on 430 comparisons 38 studies address associated knowledge gaps, (i) quantifying impacts forest diversity, (ii) exploring reasons for variation (iii) examining biases affecting realism accuracy...
Abstract Context Habitat suitability models (HSM) can improve our understanding of a species’ ecology and are valuable tools for informing landscape-scale decisions. We increase HSM predictive accuracy derive more realistic conclusions by taking multi-scale approach. However, this process is often statistically complex computationally intensive. Objectives provide an easily implemented, flexible framework sequential multi-level, compare it to two other commonly-applied approaches:...
The increasing expansion of cropland is major driver global carbon emissions and biodiversity loss. However, predicting plausible future distributions croplands remains challenging. Here, we show that, in general, existing data aligned with classical economic theories explain the current (1992) extent reasonably well, but not recent (1992–2015). Deviations from models 1992 ("frontierness") can be used to improve expansion, most likely as these deviations are a proxy for under frontier...
Meta-analysis functions to increase the precision of empirical estimates and broaden scope inference, making it a powerful tool for informing forest management conservation actions around world. Despite substantial advances in adapting meta-analytical techniques use ecological sciences from their foundations medical social sciences, biodiversity research still presents particular challenges its application. These relate long timescales successional stages, often precluding experimental...
Abstract Meta‐analyses conventionally weight study estimates on the inverse of their error variance, in order to maximize precision. Unbiased variability these study‐level variances increases with replication. Here, we demonstrate how this accumulates asymmetrically across studies precision‐weighted meta‐analysis, cause undervaluation meta‐level effect size or its variance (the meta‐effect and meta‐variance). Small samples, typical ecological literature, induce big sampling errors...
Functional diversity (FD) is increasingly used as a metric to evaluate the impact of forest management strategies on ecosystem functioning. Management interventions that aim maximise FD require knowledge multiple environmental drivers FD, which have not been studied date in temperate coniferous production forests. We quantified relative importance abiotic (forest management) and biotic (ground vegetation community) carabid trait distribution 44 plantation stands across UK. Carabid declined...
A key aim of ecology is to understand the drivers ecological patterns, so that we can accurately predict effects global environmental change. However, in many cases, predictors are measured at a finer resolution than response. We therefore require data aggregation methods avoid loss information on fine-grain heterogeneity.We present method that, unlike current approaches, reduces spatial structure heterogeneity for use with coarse-grain datasets. Our contains three steps: (a) define analysis...
Setting aside overmature planted forests is currently seen as an option for preserving species associated with old-growth forests, such those dispersal limitation. Few data exist, however, on the utility of set-aside plantations this purpose, or value habitat type biodiversity relative to semi-natural ecosystems. Here, we evaluate contribution forest characteristics in determining richness and composition seven blocks, each containing ancient stand (> 1000 yrs) paired a even-aged (ca. 180...
Abstract Aims Contemporary climate change and biological invasions are two main drivers of biodiversity redistribution. Interactive effects between these have been reported in a variety studies, yet results conflicting. Some studies find that contemporary facilitates the spread success non‐native species, especially those with broad physiological tolerances. Other conclude non‐natives vulnerable to current future changes climatic conditions. Given most focused on terrestrial here we...