Effects of errors and gaps in spatial data sets on assessment of conservation progress
P Visconti1, M Di Marco, J G Álvarez-Romero
1Global Mammal Assessment Program, Department of Biology and Biotechnologies, Sapienza University of Rome, Rome, 00185, Italy; Australian Research Council Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, Queensland, 4811, Australia.
Summary
Spatial data errors in conservation studies can significantly skew biodiversity protection assessments. Addressing these inaccuracies is crucial for accurate conservation planning and effective biodiversity protection.
Area of Science:
- Conservation Science
- Spatial Ecology
- Biodiversity Informatics
Background:
- Accurate spatial data on protected areas, ecosystems, and species distributions are vital for conservation.
- Existing datasets often contain errors in maps and metadata, which can negatively impact conservation assessments.
- These data errors are frequently overlooked, leading to potentially flawed conservation strategies.
Purpose of the Study:
- To illustrate the implications of spatial data errors on conservation objectives using three case studies.
- To highlight how inaccuracies in protected area data affect biodiversity protection estimates.
- To propose methods for improving data quality and mitigating error effects in conservation assessments.
Main Methods:
- Analysis of protected areas with unknown boundaries (buffered centroids) versus actual extents.
- Assessment of error propagation in spatial data for conservation planning.
- Evaluation of incomplete protected area datasets and their impact on protection metrics.
- Comparison of protection levels using coarse-resolution versus fine-resolution data for coral reefs.
- Inclusion of additional datasets to assess marine ecosystem protection in the Philippines.
Main Results:
- Unknown boundaries in the World Database on Protected Areas (WDPA) led to significant over- and underestimation of protection for Neotropical mammals.
- Using finer-resolution coral reef data revealed a 25% higher protection level compared to coarse-resolution data.
- Incorporating unlisted datasets increased marine ecosystem protection in the Philippines by up to 6.7%.
Conclusions:
- Spatial data errors can lead to substantial misinterpretations of conservation progress and priorities.
- Improving data accuracy and completeness is essential for reliable biodiversity assessments.
- Data providers and users must implement strategies to reduce and mitigate the impact of spatial data errors in conservation science.
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