Mitigation of urbanisation effects on aquatic ecosystems by synchronous ecological restoration
Data files
Apr 18, 2024 version files 138.62 KB
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Poject_data_.xlsx
40.41 KB
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R6000_rISA.csv
77.17 KB
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README.md
2.28 KB
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waterDATA.xlsx
18.76 KB
Abstract
Ecosystem degradation and biodiversity loss have been caused by economic booms in developing countries over recent decades. In response, ecosystem restoration projects have been advanced in some countries but the effectiveness of different approaches and indicators at large spatio-temporal scales (i.e., whole catchments) remains poorly understood. Our datasets with a diverse array of 440 aquatic restoration projects including wastewater treatment, constructed wetlands, plant/algae salvage, and dredging of contaminated sediments implemented and maintained from 2007 to 2017 across more than 2000km2 of the northwest Taihu basin (Yixing, China). Synchronized investigations of water quality and invertebrate communities were conducted before and after restoration. Our datasets showed that even though there was rapid urbanization at this time, nutrient concentrations (NH4+-N, TN, TP) and biological indices of benthic invertebrates (taxonomic richness, Shannon diversity, sensitive taxon density) improved significantly across most of the study area. Improvements were associated with the type of restoration project, with projects targeting pollution sources leading to the clearest ecosystem responses compared with those remediating pollution sinks. However, in some locations, the recovery of biotic communities appears to lag behind nutrients (e.g. nitrogen and phosphorus), likely reflecting long-distance re-colonization routes for invertebrates given the level of pre-restoration degradation of the catchment.
https://doi.org/10.5061/dryad.547d7wm8f
This repository contains datasets as well as the R-code used in our study:
- The response ratio of water nutrients and macroinvertebrates indices between 2007 and 2017 (“waterDATA.xlsx”). wNH3_N, the response ratio of NH4+-N in the natural water between 2007 and 2017; wTN, the response ratio of TN in the natural water between 2007 and 2017; wTP, the response ratio of TP in the natural water between 2007 and 2017; H’, Shannon–Wiener index of macroinvertebrates between 2007 and 2017; beta.sim, turnover dissimilarity of macroinvertebrates between 2007 and 2017; beta.nes, nestedness dissimilarity of macroinvertebrates between 2007 and 2017; beta.sor, Sørensen dissimilarity of macroinvertebrates between 2007 and 2017; TaxaRichness, response ratio of taxonomic richness of macroinvertebrates between 2007 and 2017; FBI, response ratio of the Hilsenhoff Family Biotic Index between 2007 and 2017; rOligochaeta, response ratio of percent Oligochaeta between 2007 and 2017.
- The restoration project data (“Poject_data.xlsx”): the restoration projects implemented and maintained from 2007 to 2017 in Yixing, China. Investment, main measures, and project scale, longitude, latitude, etc. were included in this file. Data in grey were not used because there were no specific measures, or project scale or those measures couldn’t be calculated and converted into the removal quantity of nitrogen and phosphorus.
- The response ratio of the impervious surface area between 2007 and 2017, when the spatial moving window radius is 6000 km: (“R6000_rISA.csv”). ID: the generated 4080 spatial moving windows’ ID; rISA: the response ratio of the impervious surface area between 2007 and 2017.
- The R-code (“Cleancode_afu.R”) was used to analyse the relationship between restoration projects, water quality, and the expansion of urbanization.
NA in all the files means data is not available because of sample analysis problems or they couldn’t be calculated by the limited samples.
If anything is not clear, please contact Hong Fu: fuhong@ihb.ac.cn
We collected the data of restoration projects from the Development and Reform Commission of Jiangsu province. And monitored the recovery of 63 locations by sampling each site both before (2007) and after (2017) the implementation of the restoration works, indices include benthic macroinvertebrates and water nutrients.