What does the future hold for Biodiversity Hotspots?
Systematic mapping of patterns, clusters & knowledge gaps for ecological range shift in plants
Summary
Research into ecological range shift has increased exponentially in recent years as ecologists attempt to understand responses to global change drivers. To our knowledge, we produced one of the first global systematic maps investigating terrestrial plant range shift studies. After screening >7,000 articles, we used ArcGIS Pro and ArcGIS Dashboard to synthesise the data spatially. The results highlight Sub-Saharan Africa and Central-America as understudied Hotspot regions. Most studies opt for correlative species distribution modelling techniques, rather than process-based (mechanistic) models. The application of most studies is to supply evidence on the impacts of climate change, and for conservation and invasion management purposes.
The Process
Background
Read on to hear more about Biodiversity Hotspots, range shift, and the latest research in this field of interest.
Further along, you will also find out more about how we conducted this systematic map, before getting to have a sneak peak at our preliminary results and what this means for range shift research going forward.
What and Where are Biodiversity Hotspots?
According to Myers et. al, (2000) [1a] and Hoffman et. al, (2016) [1b] there are currently 36 recognised Biodiversity Hotspots globally.
To qualify as a biodiversity hotspot, an area must meet two strict criteria:
- Contain at least 1,500 species of vascular plants found nowhere else on Earth (known as "endemic" species)
- Have lost at least 70 percent of its primary native vegetation
Unfortunately many of the hotspots shown here exceed these criteria.
What is 'Range Shift'?
Range shift is where a species may move its known ranges to track changes in its environment, (the basics of which are shown here). It is one way plants may adapt to a changing environment which may also include land use/land cover change, and habitat fragmentation. Species distribution modelling (aka ecological niche, or bioclimatic envelope modelling) has become a common way to predict where plants may disperse in future - so essentially seeing where these circles are moving over time. A lot of work exists on range shift to date, and this work specifically aims to develop the accuracy of future predictions, so conservationists and ecologists can prioritise how to conserve species and their habitat, and ultimately try to limit extinction risk as our climate and landscapes change.
Existing Range Shift Research
The last thirty years of range shift research have led to an accumulation of studies, suggesting species are likely to alter their distributions globally in response to climate change [1c-10]. Anthropogenic change is heightening the effects of global change at local levels, resulting in multiple taxa being forced from their original habitats, with less opportunities to successfully adapt due to fragmentation and other alterations to the landscape mosaic. Many studies have modelled ways in which plants may respond to climatic change via range shifts, however, most have tended to focus on climate-only, correlative models, due to time or cost constraints.
Objectives
Our aim was to conduct a global systematic map (similar to a systematic review but with a spatial focus) to synthesise plant range shift studies to date, and identify knowledge and geographical clusters and gaps to inform direction of ongoing ecological shift research on terrestrial plant species globally.
Stages of the Systematic Map
Stage 1: We used multiple databases to search for published peer-reviewed range shift studies.
Stage 2: We blind-screened the titles and abstracts of thousands of papers [11]. This took months!
Stage 3: After deciding which papers were relevant, we read them in full and collected many pieces of information about each article.
Stage 4: The creation of the systematic map where we collated the final studies together into an interactive web map using ArcGIS Pro and ArcGIS Dashboard.
Stage 1: Database searches
When collating range shift articles, we used Scopus, Web of Science and Science Direct as the main source journal databases.
Using a combination of multi-query keyword terms (green diagram), over 13,000 papers were collated.
We then used Endnote reference managing software to remove nearly 6,000 duplicate articles.
Stage 2: Article Screening
During stage 2 we blind screened the remaining 7,336 studies, assessed for relevance to four main criteria using the R package "MetaGear" [12]:
- flora-only (e.g., fauna studies removed)
- terrestrial-only (e.g., marine studies removed)
- thirty year time slice (e.g., 1990-2020)
- predictive range shift research (e.g., studies looking back in time removed).
During this process, 6,987 studies that were not solely focused on plant range shift and did not conform to this criteria were removed.
Stage 3: Coding and Full Text Screening
Articles that passed screening were then "coded" to record the nature and techniques used within each study including scale, geographical location, plant major group, number of species, software, modelling parameters, and range-shift measurements.
Stage 4: Building the Systematic Map
We used ArcGIS Pro to visualise the studies as a global heatmap, and ArcGIS Dashboard to show key statistics collected when conducting the full text searches. We are working on producing Getis Ord Gi* statistical analyses to look at the relationship between studies and their geographic location.
The Systematic Map
A Systematic Map of Plant Range Shift Studies. Green crosses depict individual study locations. The darker the green, the higher density of studies located in the region. Zoom in to areas of interest and click on individual crosses to see more about each study.
Heatmap Scroller
Spatial analysis highlighted that 74% of all studies were situated north of the Equator, and only 28% of studies fell within a terrestrial Biodiversity Hotspot. Use the scroll to view the heatmap both with and without the Biodiversity Hotspot boundaries.
14% of all studies have taken place within the latitudes of the Tropics, and of those, two thirds predicted contractions to species current ranges in future.
There are visible geographical gaps in Central America and Sub-Saharan Africa (with the exception of South Africa) where few range shift studies currently exist. This shows a clear geographical bias towards range shift studies being conducted in the northern hemisphere to date.
A scroller of two heat maps showing the locations of plant range shift studies between 1990-2020. The left scroller shows a global map, and the right shows the same map, with Biodiversity Hotspot boundaries (beige) and Tropics lines added.
Analysis & Next Steps
ArcGIS Dashboard: Systematic Map Analysis of Plant Range Shift Studies published between 1990-2020. Left: Map highlighting study predictions for range changes. Right: a pie chart highlighting the proportions of different study predictions.
ArcGIS Dashboard: Systematic Map Analysis of Plant Range Shift Studies published between 1990-2020. Top: Chart highlighting modelling techniques. Correlative refers to statistical based models, and mechanistic models are process-based. Bottom: Popularity of modelling techniques used by studies across the study period.
We found that most studies (86%) used correlative approaches to predict range shift e.g., statistical predictions that take into account the current suitable climate/habitat and predict where species may be present based on future climate variables.
Few studies (6%) took a mechanistic approach where localised processes are considered such as plant physiology, traits, biotic interactions, dispersal and migration capbility, deforestation and forest fragmentation.
About the Author
Emma Underwood (Hall), PhD Candidate at Kingston University, London, UK.
Thanks for joining my journey so far via this Story Map. I'm Emma, and I am studying for a PhD in plant ecology with the Department of Geography, Geology and the Environment at Kingston University, London, UK. My main focus is developing modelling techniques capable of accurately predicting how endemic plants may adapt to increasing pressures of climate, land use, and land cover changes in tropical Biodiversity Hotspots.
To keep up to date with my research journey, please feel free to follow my social media channels using the handle @geospatialemma . I share content on GIS methods, maps, plants and the environment.