Dataset: Habitat restoration database

Name: Database of published habitat restoration studies from 1995, 2005, and 2015
Published: 2018-09-04
Keywords: oceans

Cite This Dataset

DOI:10.26008/1912/bco-dmo.747668.1

Temporal Extent: 1995 - 2015

Project:

CAREER: Linking genetic diversity, population density, and disease prevalence in seagrass and oyster ecosystems (Seagrass and Oyster Ecosystems)

Principal Investigator:

A. Randall Hughes (Northeastern University)

BCO-DMO Data Manager:

Mathew Biddle (Woods Hole Oceanographic Institution, WHOI BCO-DMO)

Version:

Version Date:

2018-09-04

Restricted:

Validated:

Yes

Current State:

Final no updates expected

Database of published habitat restoration studies from 1995, 2005, and 2015

Abstract:

Database of published habitat restoration studies from 1995, 2005, and 2015.

Expand/Collapse All

Archival Copy

Version Date	Archive	Persistent Identifier (PID)	Date PID Issued
2018-09-04	Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)	10.26008/1912/bco-dmo.747668.1	2021-05-20

Description

We systematically searched 27 international general science, conservation, and restoration-specific journals for published studies in 3 representative years (1995, 2005, 2015). Once studies were identified (N=559), we examined each individually to determine whether it was an empirical restoration (i.e., including a specific restoration action for which data were collected) or not. For empirical restorations, we identified the ecosystem, the habitat within the ecosystem, if the restoration project involved the active planting or translocation of target species, and how many, and whether the restoration included a biodiversity component (i.e., consideration of taxonomic richness, diversity, or composition). Finally, for those studies including a biodiversity component, we examined the stage of restoration incorporating biodiversity (design/implementation or monitoring/response), and the level of biodiversity (genetic, species, functional, or trophic).

Data Processing Description

In our targeted analysis of specific journals, we then tested whether the proportion of empirical restorations varied by year (1995, 2005, 2015) or by journal, using a binomial generalized linear model (GLM) with logit link, with each study categorized as empirical (181 studies) or not empirical (378 studies). Within the 181 empirical studies, we evaluated whether the proportion of studies including a biodiversity component differed across years, ecosystem, or habitat within ecosystem, again using a binomial GLM with logit link. Finally, we examined whether the proportion of studies including biodiversity (108 studies) in the design / implementation stage vs. in the monitoring stage varied across ecosystems or habitats within ecosystems using a binomial GLM with logit link. All analyses were conducted in R Studio.

BCO-DMO Processing Notes:

added conventional header with dataset name, PI name, version date
modified parameter names to conform with BCO-DMO naming conventions
removed special characters from Authors field.
replaced commas with semi-colons in the Authors field.

Data Files

File
hab_res.csv (Comma Separated Values (.csv), 48.82 KB) MD5:32a772bab08c21ea5d8ee27b8839062c Primary data file for dataset ID 747668

More Information about this dataset

Funding Sources

Funding Source	Award Number
NSF Division of Ocean Sciences	OCE-1652320

Deployments

None available yet

Instruments

None available yet

Parameters

Date and time formats are described in python strftime() syntax.

Supplied Name	Supplied description	Supplied Units	Standard Name
ID	Unique numerical identifier for each study	unitless	sample
Journal	Journal the study was published in	unitless	no_bcodmo_term
Year	Year of publication	unitless	no_bcodmo_term
Authors	Abbreviated author list of publication	unitless	no_bcodmo_term
Empirical	Binomial variable categorizing each study as an empirical restoration study: 0 = not empirical; 1 = empirical	unitless	sample_descrip
Not_empirical	Binomial variable categorizing each study as non empirical restoration study or not: 1 = not empirical; 0 = empirical	unitless	sample_descrip
Ecosystem	Categorical variable describing focal ecosystem of the study: terrestrial; estuarine/marine; freshwater	unitless	sample_descrip
Biodiversity	Binomial variable categorizing each study as having a biodiversity component: 0 = no; 1 = yes	unitless	sample_descrip
No_biodiversity	Binomial variable categorizing each study as not having a biodiversity component: 0 = yes; 1 = no	unitless	sample_descrip
Biodiversity_in_design	Binomial variable categorizing each study as having a biodiversity component in the design phase of the restoration: 0 = no; 1 = yes	unitless	sample_descrip
Biodiversity_in_monitoring	Binomial variable categorizing each study as having a biodiversity component in the monitoring phase of the restoration: 0 = no; 1 = yes	unitless	sample_descrip
Genetic_diversity	Binomial variable for whether the biodiversity component included genetic diversity: yes or no	unitless	sample_descrip
Species_diversity	Binomial variable for whether the biodiversity component included species diversity: yes or no	unitless	sample_descrip
Functional_diversity	Binomial variable for whether the biodiversity component included functional diversity (number or composition of functional groups): yes or no	unitless	sample_descrip
Trophic_diversity	Binomial variable for whether the biodiversity component included trophic diversity (number or composition of trophic levels): yes or no	unitless	sample_descrip
Species_actively_transplanted	Binomial variable for whether species were actively added or transplanted during the restoration process: yes or no	Number of species	count
Total_number_species_restored	If species were actively transplanted; the total number of species reported to have been restored across the entire project	Number of species	count
Max_number_species_restored_per_plot_patch	If species were actively transplanted; the maximum number of species planted in a given plot or patch	Number of species	count

Status message

Database

Contribute Data

Dataset: Habitat restoration database