Meta‐analysis of the effects of upstream land cover on stream recovery

2018 ◽  
Vol 33 (2) ◽  
pp. 351-360 ◽  
Author(s):  
Bronwen Stanford ◽  
Holly Jones ◽  
Erika Zavaleta
Keyword(s):  
Land Cover ◽  
Meta Analysis ◽  
Stream Recovery

Land-cover effects on red soil rehabilitation in China: a meta-analysis

2008 ◽  
Vol 32 (5) ◽  
pp. 491-502 ◽  
Author(s):  
Yihe Lü ◽  
Liding Chen ◽  
Bojie Fu
Keyword(s):  
Land Cover ◽  
Meta Analysis ◽  
Mixed Forest ◽  
Red Soil ◽  
Environmental Research ◽  
Ecological Rehabilitation ◽  
Soil Rehabilitation ◽  
Spatiotemporal Trends ◽  
Land Covers

To reverse the soil degradation problems resulting from overexploitation, ecological soil rehabilitation has already been an important pursuit in ecological and environmental research and applications. Based on journal publications and a meta-analysis approach, this paper investigates the effects, and their spatiotemporal variations, of different land covers on red soil rehabilitation in China. Results indicate that all the land covers used in red soil rehabilitation had been effective in improving degraded red soils but the degrees of effectiveness varied. Soil organic carbon was the most sensitive of the three major soil nutrients considered with regard to land-cover change during ecological rehabilitation. Coniferous and broadleaf mixed forest was detected as the most effective land cover in red soil rehabilitation. Some spatiotemporal trends of land-cover effectiveness on red soil rehabilitation exist in a statistically significant sense. These findings are important for land use and ecological rehabilitation decision-making such as the selection of a soil rehabilitation pathway and the determination of priority areas for ecological rehabilitation.

scholarly journals Chytrid infection in Asia: How much do we know and what else do we need to know?

2020 ◽  
pp. 99-111 ◽  
Author(s):  
Md. Mokhlesur Rahman
Keyword(s):  
Land Cover ◽  
Batrachochytrium Dendrobatidis ◽  
Meta Analysis ◽  
Systematic Research ◽  
Amphibian Species ◽  
Monitoring Strategies ◽  
Significant Difference ◽  
Positive Rate ◽  
Kernel Density Analysis ◽  
Elevation Model

We conducted a systematic review to evaluate the knowledge base for amphibian chytrid Batrachochytrium dendrobatidis (Bd) infection in the continent of Asia. Despite an indication of geographic bias in terms of studying chytrid fungus distribution in Asia, 167 amphibian species (145 spp. native to Asia) from 16 countries have been reported as infected with Bd. Our meta-analysis shows that overall prevalence is 8.19 % (out of 28,433 samples), and Bd-positive rate in amphibia significantly varies among sampling sources (χ2= 380.57, DF= 6, P< 0.001) and age categories (χ2= 22.09, DF= 2, P< 0.001). We used Kernel Density analysis to produce a hotspot map for chytrid infection, and Digital Elevation Model to understand the distribution of chytrid positive locations across different elevations. In our meta-analysis, most of the Bd-positive sites range between 4.45–27.49 °C, 167–4,353 mm rainfall, 10–40°N, and at lower elevations (<500 m). Using land cover analysis, we did not find a statistically significant difference among six different land cover categories in relation to the prevalence of Bd across Asia. Although no mass die-off events have been reported so far, Maximum Entropy modelling shows that Bd distribution and infection may potentially occur across a vast region of south-east Asia. In conclusion, we call for more systematic research and monitoring strategies in place for countries with little to no information, but have a moderately higher risk of chytrid distribution and infection.

scholarly journals Assessing Independent Variables Used in Econometric Modeling Forest Land Use or Land Cover Change: A Meta-Analysis

Forests ◽  
2014 ◽  
Vol 5 (7) ◽  
pp. 1532-1564
Author(s):  
James Jeuck ◽  
Frederick Cubbage ◽  
Robert Abt ◽  
Robert Bardon ◽  
James McCarter ◽  
...  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Cover Change ◽  
Meta Analysis ◽  
Econometric Modeling ◽  
Forest Land ◽  
Independent Variables

scholarly journals Hydrologic Characteristics of Streamflow in the Southeast Atlantic and Gulf Coast Hydrologic Region during 1939–2016 and Conceptual Map of Potential Impacts

Hydrology ◽  
2018 ◽  
Vol 5 (3) ◽  
pp. 42 ◽  
Author(s):  
Aavudai Anandhi ◽  
Christy Crandall ◽  
Chance Bentley
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Gulf Coast ◽  
Meta Analysis ◽  
Land Use Land Cover ◽  
Characteristic Parameters ◽  
Temperature Changes ◽  
Hydrologic Characteristic ◽  
Precipitation Changes

Streamflow is one the most important variables controlling and maintaining aquatic ecosystem integrity, diversity, and sustainability. This study identified and quantified changes in 34 hydrologic characteristics and parameters at 30 long term (1939–2016) discharge stations in the Southeast Atlantic and Gulf Coast Hydrologic Region (Region 3) using Indicators of Hydrologic Alteration (IHA) variables. The southeastern United States (SEUS) is a biodiversity hotspot, and the region has experienced a number of rapid land use/land cover changes with multiple primary drivers. Studies in the SEUS have been mostly localized on specific rivers, reservoir catchments and/or species, but the overall region has not been assessed for the long-term period of 1939–2016 for multiple hydrologic characteristic parameters. The objectives of the study were to provide an overview of multiple river basins and 31 hydrologic characteristic parameters of streamflow in Region 3 for a longer period and to develop a conceptual map of impacts of selected stressors and changes in hydrology and climate in the SEUS. A seven step procedure was used to accomplish these objectively: Step 1: Download data from the 30 USGS gauging stations. Steps 2 and 3: Select and analyze the 31 IHA parameters using boxplots, scatter plots, and PDFs. Steps 4 and 5: Synthesize the drivers of changes and alterations and the various change points in streamflow in the literature. Step 6: Synthesize the climate of the SEUS in terms of temperature and precipitation changes. Step 7: Develop a conceptual map of impacts of selected stressors on hydrology using Driver–Pressure–State-Impact–Response (DPSIR) framework and IHA parameters. The 31 IHA parameters were analyzed. The meta-analysis of literature in the SEUS revealed the precipitation changes observed ranged from −30% to +35% and temperature changes from −2 °C to 6 °C by 2099. The fiftieth percentile of the Global Climate Models (GCM) predict no precipitation change and an increase in the temperature of 2.5 °C in the region by 2099. Among the GCMs, the 5th and 95th percentile of precipitation changes range between −40% and 110% and temperature changes between −2 °C and 6 °C by 2099. Meta-analysis of land use/land cover show the region has experienced changes. A number of rapid land use/land cover changes in 1957, 1970, and 1998 are some of the change points documented in the literature for precipitation and streamflow in the region. A conceptual map was developed to represent the impacts of selected drivers and the changes in hydrology and climate in the study region for three land use/land cover categories in three different periods.

scholarly journals Geographic Setting and Groundwater Table Control Carbon Emission from Indonesian Peatland: A Meta-Analysis

Forests ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 832
Author(s):  
Nisa Novita ◽  
Nurul Silva Lestari ◽  
Mega Lugina ◽  
Tatang Tiryana ◽  
Imam Basuki ◽  
...  
Keyword(s):  
Land Cover ◽  
Co2 Emissions ◽  
Water Table ◽  
Emission Reduction ◽  
Meta Analysis ◽  
Water Table Depth ◽  
Climate Mitigation ◽  
Soil Emissions ◽  
Emission Reduction Target ◽  
The Impact

Peat restoration is a key climate mitigation action for achieving Indonesia’s Nationally Determined Contribution (NDC) emission reduction target. The level of carbon reduction resulting from peat restoration is uncertain, owing in part to diverse methodologies and land covers. In this study, a meta-analysis was conducted to assess the impact of rewetting on reduction of total CO2 in soil and heterotrophic emissions at the country level. The tier 2 emission factor associated with the land cover category in Indonesia was also calculated. The analysis included a total of 32 studies with 112 observations (data points) for total CO2 emissions and 31 observations for heterotrophic emissions in Indonesia. The results show that the land cover category is not a significant predictor of heterotrophic and total soil emissions, but the highest observed soil emissions were found in the plantation forest. Using the random-effects model, our results suggest that an increase in the water table depth of 10 cm would result in an increase in total CO2 emissions of 2.7 Mg CO2 ha−1 year−1 and an increase in heterotrophic emissions of 2.3 Mg CO2 ha−1 year−1. Our findings show that managing water table depth in degraded peatlands in various land cover types is important to achieve Indonesia’s emission reduction target by 2030.

The effects of low-ratio n-6/n-3 PUFA on biomarkers of inflammation: a systematic review and meta-analysis

2021 ◽  
Author(s):  
Yali Wei ◽  
Yan Meng ◽  
Na Li ◽  
Qian Wang ◽  
Liyong Chen
Keyword(s):  
Systematic Review ◽  
Fatty Acid ◽  
Polyunsaturated Fatty Acid ◽  
Meta Analysis ◽  
Chain Polyunsaturated Fatty Acid ◽  
Inflammation Markers ◽  
Pufa Supplementation ◽  
Long Chain

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.

A meta-analysis of individualized instruction in dental education

1992 ◽  
Vol 56 (3) ◽  
pp. 183-189 ◽  
Author(s):  
LS Dacanay ◽  
PA Cohen
Keyword(s):  
Dental Education ◽  
Meta Analysis ◽  
Individualized Instruction
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