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.

Powered by Esri

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.

Model Parameters

We were interested in what data was used to build models that produced the range shift predictions, in particular, which parameters were used in the computer models.

Model Parameters

The two most popular parameters (aside from bioclimatic which were present in 99% of all studies) were edaphic (20%) and topographic (32%) parameters. In contrast, the least popular parameters were lithological (3%), dispersal (7%) and disturbance (5%).

Range Shift Measurements

We also wanted to see how range shift was being measured through the predictive models. Most papers published a figure showing a geographic distribution change based on climatic and habitat suitability, and 24% studies included a combination of measurement types. Few were specifically studying elevational (8%) or latitudinal shifts (2%).

Range Shift Measurements

The funnel chart shows a high level net summary of shifting results for all studies in the systematic map, so whether the species in a study overall tended to be contracting or expanding across the predicted time period.

Range Shift Measurements

Overall, 162 (57%) studies predicted net contractions to the ranges of species measured, 67 (24%) had an overall net expansion, 42 (15%) tended to equally expand and contract (both), and 12 studies (4%) showed stasis.

Range Shift Measurements

In the Tropics where climate and weather patterns are already extreme compared to other parts of the world, only one study predicted that species would remain in stasis with its environment in the next one hundred years.

Why are we looking at Range Shift?

There are of course many reasons why plant range shift research is undertaken. Here we summarise the main four categories of reasons for conducting range shift research over the time period from 1990-2020.

Why are we looking at Range Shift?

We found that most studies are increasingly looking at range shift in the context of climate change and how this may affect species moving forward.

Why are we looking at Range Shift?

An increasingly popular reason is to support species conservation, by assessing for vulnerability and contributing to extinction risk research.

What we have learned from the Systematic Map

Large geographical gaps where range shift studies have not yet been situated to date, especially across Central America and Sub-Saharan Africa.

Geographical clusters in Europe, North America and Asia.

What we have learned from the Systematic Map

We have exposed knowledge gaps where few studies have used mechanistic approaches to predict how plants may shift their ranges in response to climatic and other global change drivers.

Where Next?

Looking ahead, development of the methodologies we use to predict what is a likely trajectory for plant species is crucial for informing practical conservation efforts aiming to reduce biodiversity loss and extinction risk.

Where Next?

We would like to adopt a research strategy that emphasises use of demographic, physiological, and species -or- genera-specific data as we feel this is important for constructing models capable of accurately predicting future range shift [13-14].

Where Next?

I will be heading out to Madagascar soon to work with collaborators in Ranomafana National Park to study and track lemur dispersal. I hope to use this field collected information to bolster future range shift models for endemic plant species. This will also be a great opportunity to meet and work with researchers from University of Antananarivo and University of California, Berkeley, and staff at Centre ValBio.

Thank you for reading

This content was originally part of a research poster presented at GISRUK2022 in April 2022 in collaboration with my supervisors: Dr. Kerry Brown (Kingston University), Prof. Nigel Walford (Kingston University) and Prof. Mark Mulligan (King's College London).

Utilising Esri products, especially Dashboards and Story Maps has really brought this story and research to life and I am grateful to be able to share my work more widely this way.


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.

References

1a. Myers, N., et al., Biodiversity hotspots for conservation priorities. Nature, 2000. 403: p. 853-858 DOI: 10.1038/35002501.

1b. Michael Hoffman, Kellee Koenig, Gill Bunting, Jennifer Costanza, & Williams, Kristen J. 2016. Biodiversity Hotspots (version 2016.1) (2016.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3261807.

1c. Klausmeyer, K. R. & Shaw, M. R. 2009. Climate change, habitat loss, protected areas and the climate adaptation potential of species in mediterranean ecosystems worldwide; 19641600. PLoS ONE, 4 DOI: 10.1371/journal.pone.0006392.

2. Kuhn, E., Lenoir, J., Piedallu, C. & Gégout, J.-C. 2016. Early signs of range disjunction of submountainous plant species: an unexplored consequence of future and contemporary climate changes. Global Change Biology, 22, 2094-210 DOI: 10.1111/gcb.13243.

3. Malcolm, J. R., Liu, C. R., Neilson, R. P., Hansen, L. & Hannah, L. 2006. Global warming and extinctions of endemic species from biodiversity hotspots. Conservation Biology, 20, 538-548 DOI: 10.1111/j.1523-1739.2006.00364.x.

4. Wróblewska, A. & Mirski, P. 2018. From past to future: impact of climate change on range shifts and genetic diversity patterns of circumboreal plants. Regional Environmental Change, 18, 409-424 DOI: 10.1007/s10113-017-1208-3.

5. Austin, Mike P., and Kimberly P. Van Niel. 2011. Impact of Landscape Predictors on Climate Change Modelling of Species Distributions: A Case Study with Eucalyptus Fastigata in Southern New South Wales, Australia. Journal of Biogeography 38, (1) 9–19. http://www.jstor.org/stable/40996127.

6. Dullinger, S., Gattringer, A., Thuiller, W. et al. 2012. Extinction debt of high-mountain plants under twenty-first-century climate change. Nature Clim Change 2, 619–622. DOI: 10.1038/nclimate1514.

7. F. Cortini, P.G. Comeau, T. Wang, D.E. Hibbs, A. Bluhm. 2012. Climate effects on red alder growth in the Pacific Northwest of North America, Forest Ecology and Management, 277, 98-101. DOI: 10.1016/j.foreco.2012.04.024.

8. Carlos Martorell, Delfín M. Montañana, Carolina Ureta, María C. Mandujano. 2015. "Assessing the importance of multiple threats to an endangered globose cactus in Mexico: Cattle grazing, looting and climate change", Biological Conservation, 181, 73-81, DOI: 10.1016/j.biocon.2014.10.035.

9. Storkey, J., Stratonovitch, P., Chapman, D.S., Vidotto, F. & Semenov, M.A. 2015. A Process-Based Approach to Predicting the Effect of Climate Change on the Distribution of an Invasive Allergenic Plant in Europe, PLoS One, (9)2.

10. Engler, R., Randin, C.F., Thuiller, W., et al. 2011. 21st century climate change threatens mountain flora unequally across Europe. Global Change Biology, 17: 2330-2341. DOI: 10.1111/j.1365-2486.2010.02393.x.

11. James, K.L., Randall, N.P. and Haddaway, N.R. 2016. A methodology for systematic mapping in environmental sciences. Environmental Evidence. 5 (1), pp.7.

12. Lajeunesse, M. J. 2016. Facilitating systematic reviews, data extraction and meta-analysis with the metagear package for r. Methods in Ecology and Evolution, 7, 323-330 DOI: 10.1111/2041-210X.12472.

13. Briscoe, N.J., et al., 2019. Forecasting species range dynamics with process-explicit models: matching methods to applications, Ecology Letters, (11) 1940-1956.

14. Higgins, S.I., et al., 2020. Predictive ability of a process‐based versus a correlative species distribution model, Ecology and evolution, 10(20) 11043-11054.

ArcGIS Pro & ArcGIS Dashboard

ESRI

Emma Underwood (Hall), PhD Candidate at Kingston University, London, UK.

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.