A web-based biodiversity toolkit as a conservation management tool for natural fragments in an urban context

Magister Scientiae (Biodiversity and Conservation Biology) - MSc (Biodiv and Cons Biol)The collection of biological information has a long history, motivated by a variety of reasons and in more recent years is largely being driven for research and academic purposes. As a result biological information is often linked to a specific species or ecosystem management and is discipline specific, not relating to general management actions at a specific conservation site. The biological data that exists is often not consolidated in a central place to allow for effective management of conservation sites. Different databases and formats are often used to cover biological, infrastructural, heritage and management information. Biological information has traditionally not influenced real-time site-specific conservation management, with long term data sets being used to draw conclusions before they can influence management actions. In order to overcome this problem of scattered and unfocused data a biodiversity database related to specific site management was developed. This study focuses on the development of this database and its links to the management of spatially defined sites. Included in the solution of scattered data are the applications of information management tools which interpret data and convert it into management actions, both in terms of long term trends and immediate real- time management actions as the information is received and processed

A web-based biodiversity toolkit as a conservation management tool for natural fragments in an urban context

>Magister Scientiae - MScThe collection of biological information has a long history, motivated by a variety of reasons and in more recent years is largely being driven for research and academic purposes. As a result biological information is often linked to a specific species or ecosystem management and is discipline specific, not relating to general management actions at a specific conservation site. The biological data that exists is often not consolidated in a central place to allow for effective management of conservation sites. Different databases and formats are often used to cover biological, infrastructural, heritage and management information. Biological information has traditionally not influenced real-time site-specific conservation management, with long term data sets being used to draw conclusions before they can influence management actions. In order to overcome this problem of scattered and unfocused data a biodiversity database related to specific site management was developed. This study focuses on the development of this database and its links to the management of spatially defined sites. Included in the solution of scattered data are the applications of information management tools which interpret data and convert it into management actions, both in terms of long term trends and immediate real- time management actions as the information is received and processed. Information systems are always difficult to describe in words as much of the layout and information is visual and hence difficult to convey I just the text of this document. A breakdown of the resultant information system is outlined in detail in the conclusion section. During the development of a Biodiversity Database it was found that management tools had to be developed to integrated data with management. Furthermore it was found that human error was a significant factor in poor data quality; as a result an observer training programme was developed

The bii4africa dataset of faunal and floral population intactness estimates across Africa’s major land uses

Sub-Saharan Africa is under-represented in global biodiversity datasets, particularly regarding the impact of land use on species’ population abundances. Drawing on recent advances in expert elicitation to ensure data consistency, 200 experts were convened using a modified-Delphi process to estimate ‘intactness scores’: the remaining proportion of an ‘intact’ reference population of a species group in a particular land use, on a scale from 0 (no remaining individuals) to 1 (same abundance as the reference) and, in rare cases, to 2 (populations that thrive in human-modified landscapes). The resulting bii4africa dataset contains intactness scores representing terrestrial vertebrates (tetrapods: ±5,400 amphibians, reptiles, birds, mammals) and vascular plants (±45,000 forbs, graminoids, trees, shrubs) in sub-Saharan Africa across the region’s major land uses (urban, cropland, rangeland, plantation, protected, etc.) and intensities (e.g., large-scale vs smallholder cropland). This dataset was co-produced as part of the Biodiversity Intactness Index for Africa Project. Additional uses include assessing ecosystem condition; rectifying geographic/ taxonomic biases in global biodiversity indicators and maps; and informing the Red List of Ecosystems

The bii4africa dataset of faunal and floral population intactness estimates across Africas major land uses.

Sub-Saharan Africa is under-represented in global biodiversity datasets, particularly regarding the impact of land use on species population abundances. Drawing on recent advances in expert elicitation to ensure data consistency, 200 experts were convened using a modified-Delphi process to estimate intactness scores: the remaining proportion of an intact reference population of a species group in a particular land use, on a scale from 0 (no remaining individuals) to 1 (same abundance as the reference) and, in rare cases, to 2 (populations that thrive in human-modified landscapes). The resulting bii4africa dataset contains intactness scores representing terrestrial vertebrates (tetrapods: ±5,400 amphibians, reptiles, birds, mammals) and vascular plants (±45,000 forbs, graminoids, trees, shrubs) in sub-Saharan Africa across the regions major land uses (urban, cropland, rangeland, plantation, protected, etc.) and intensities (e.g., large-scale vs smallholder cropland). This dataset was co-produced as part of the Biodiversity Intactness Index for Africa Project. Additional uses include assessing ecosystem condition; rectifying geographic/taxonomic biases in global biodiversity indicators and maps; and informing the Red List of Ecosystems

The bii4africa dataset of faunal and floral population intactness estimates across Africa’s major land uses

International audienceSub-Saharan Africa is under-represented in global biodiversity datasets, particularly regarding the impact of land use on species' population abundances. Drawing on recent advances in expert elicitation to ensure data consistency, 200 experts were convened using a modified-Delphi process to estimate 'intactness scores': the remaining proportion of an 'intact' reference population of a species group in a particular land use, on a scale from 0 (no remaining individuals) to 1 (same abundance as the reference) and, in rare cases, to 2 (populations that thrive in human-modified landscapes). The resulting bii4africa dataset contains intactness scores representing terrestrial vertebrates (tetrapods: ±5,400 amphibians, reptiles, birds, mammals) and vascular plants (±45,000 forbs, graminoids, trees, shrubs) in sub-Saharan Africa across the region's major land uses (urban, cropland, rangeland, plantation, protected, etc.) and intensities (e.g., large-scale vs smallholder cropland). This dataset was co-produced as part of the Biodiversity Intactness Index for Africa Project. Additional uses include assessing ecosystem condition; rectifying geographic/ taxonomic biases in global biodiversity indicators and maps; and informing the Red List of Ecosystems

bi4africa dataset - open source

The bii4africa dataset is presented in a multi-spreadsheet .ods file. The raw data spreadsheet (‘Scores_Raw’) includes 31,313 individual expert estimates of the impact of a sub-Saharan African land use on a species response group of terrestrial vertebrates or vascular plants. Estimates are reported as intactness scores - the remaining proportion of an ‘intact’ reference (pre-industrial or contemporary wilderness area) population of a species response group in a land use, on a scale from 0 (no individuals remain) through 0.5 (half the individuals remain), to 1 (same as the reference population) and, in limited cases, to 2 (two or more times the reference population). For species that thrive in human-modified landscapes, scores could be greater than 1 but not exceeding 2 to avoid extremely large scores biasing aggregation exercises. Expert comments are included alongside respective estimates

bii4africa dataset

The bii4africa dataset is presented in a multi-spreadsheet .xlsx file. The raw data spreadsheet (‘Scores_Raw’) includes 31,313 individual expert estimates of the impact of a sub-Saharan African land use on a species response group of terrestrial vertebrates or vascular plants. Estimates are reported as intactness scores - the remaining proportion of an ‘intact’ reference (pre-industrial or contemporary wilderness area) population of a species response group in a land use, on a scale from 0 (no individuals remain) through 0.5 (half the individuals remain), to 1 (same as the reference population) and, in limited cases, to 2 (two or more times the reference population). For species that thrive in human-modified landscapes, scores could be greater than 1 but not exceeding 2 to avoid extremely large scores biasing aggregation exercises. Expert comments are included alongside respective estimates