Research Article |
Corresponding author: Rubén Ramírez-Rodríguez ( rubenrr2608@gmail.com ) Academic editor: M. Nazre
© 2021 Rubén Ramírez-Rodríguez, Manuel Melendo-Luque, Juan Diego Rus-Moreno, Francisco Amich.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Ramírez-Rodríguez R, Melendo-Luque M, Rus-Moreno JD, Amich F (2021) Potential changes in the distribution of Delphinium bolosii and related taxa of the series Fissa from the Iberian Peninsula under future climate change scenarios. Nature Conservation 43: 147-166. https://doi.org/10.3897/natureconservation.43.63876
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A particular threat posed by climate change for biodiversity conservation, one which has scarcely been studied, is the overlap of the potential distribution areas in phylogenetically closely related species. In this study, Species Distribution Modelling (SDM) was used to investigate the potential changes in the distribution of Delphinium bolosii and D. fissum subsp. sordidum under future climatic scenarios. These two closely related and endangered endemic species from the Iberian Peninsula do not have complete reproductive barriers between them. The two models selected different predictors with a similar effect in the biological cycle. Both taxa need low winter temperatures to break seed dormancy and sufficient rainfall to complete the flowering and fruiting stages. The current potential distribution areas of both taxa do not currently overlap. However, the results showed that potential changes may take place in the species’ distribution range under future climate scenarios. The models predict a reduction of the potential distribution area of D. bolosii while, conversely, the potential distribution area of D. fissum subsp. sordidum increased. In both cases, the predicted contraction in range is very high, and loss of habitat suitability in some current localities is worrying. Notwithstanding, the models do not predict overlaps of potential areas under climate change scenarios. Our findings can be used to define areas and populations of high priority for conservation or to take action against the impacts of climate change on these endangered species.
changes in range, endangered species, larkspur, MaxEnt, range overlap, species distribution models
Recent studies suggest that climatic change may well be one of the most important challenges that humanity will face in forthcoming decades to avoid precisely what models forecast, in the worst-case scenarios – namely the sixth mass extinction in the history of the Earth (
Rare species are more susceptible to environmental changes (e.g. climate warming) than common species (
The interpretation and usefulness of SDMs have been discussed in several works (e.g.
The origin of Delphinium series Fissa (Delphinieae, Ranunculaceae) lies in Central Asian mountains and extended westward throughout the Mediterranean Basin in the Late Miocene, namely during the Messinian Salinity Crisis (6–5.3 Ma) (
Recently,
The present study aims to: (1) generate the current model for D. bolosii with the same methodology used for D. fissum subsp. sordidum, and compare the predictors of both models; (2) determine and evaluate the potential impacts of climate change on the distribution range of the series Fissa species in the Iberian Peninsula, as an example of closely related species without complete reproductive barriers; and (3) provide information for the medium and long-term conservation of these taxa under climate change scenarios.
The study area corresponds to the Iberian Peninsula, which is located to the southwest of the European continent (Fig.
Location of the Iberian Peninsula in the south-western Europe. The main Iberian mountain ranges are pointed out as well as the known localities for D. bolosii and D. fissum subsp. sordidum.
According to the phylogenetic results obtained by cpDNA (
Delphinium fissum subsp. sordidum is a rhizomatous hemicryptophyte endemic of the central-western and southern Iberian Peninsula (Fig.
Fourteen occurrences for D. bolosii were obtained, but those that occurred in the same 1 × 1 grid cell were removed to reduce spatial correlation (
For the future predictions, the CCSM4 model was used, which was downloaded from the Fifth Assessment Report of the International Panel on Climate Change (
The model for D. bolosii was created using Maxent v. 3.3.3 (
To determine the potential distribution areas, binary outputs of presence/absence were generated by setting thresholds in the logistic models. Firstly, the 10th percentile training presence logistic threshold (10P) was used to transform habitat suitability, as estimated by the models, into a binary prediction. This method is well recognised for distinguishing suitable regions from unsuitable ones (
The AUC value was 0.962 ± 0.032 for the D. bolosii model, indicating that the model performed well at predicting the current distribution of the species. The current potential distribution area was 35814.9 km2 for threshold 10P = 0.4585, of which 14127.1 km2 (39%) showed a medium-high suitable habitat probability (HS ≥ 0.6). This potential distribution was found mainly in two areas of the north-eastern Iberian Peninsula: the Pre-Pyrenean, along with Catalan Mediterranean System, and the south-eastern Iberian System (Fig.
For the D. bolosii model, the mean temperature of the driest quarter had the strongest relative influence on habitat suitability (82.3%). Other predictors for this model and their contribution were: precipitation of the coldest quarter (5.2%), temperature seasonality (4.7%), precipitation seasonality (4.2%), slope (3.5%) and Isothermality (0.2%). The effects of these environmental variables on habitat suitability for D. bolosii are shown in Fig.
Response curves for environmental variables selected as predictors in the ecological niche model for D. bolosii.
Environmental variables used and its percentage contribution to the D. bolosii (this study) and D. fissum subsp. sordidum (
Code | Environmental variables | % Contribution | |
---|---|---|---|
D. bolosii | D. fissum subsp. sordidum | ||
Bio3 | Isothermality | 0.2 | |
Bio4 | Temperature seasonality | 4.7 | |
Bio7 | Temperature annual range | 25.7 | |
Bio8 | Mean temperature of wettest quarter | 26.2 | |
Bio9 | Mean temperature of driest quarter | 82.3 | |
Bio15 | Precipitation seasonality | 4.2 | |
Bio18 | Precipitation of warmest quarter | 22.1 | |
Bio19 | Precipitation of coldest quarter | 5.2 | 2.7 |
Slo | Slope | 3.5 | 21 |
Hil | Hillshade | 2.3 |
Our results showed that potential changes could take place on the distribution range of the series Fissa species, i.e., when comparing the extent and quality of the present and future suitable habitats for D. bolosii (Table
Extent of current and future potential distribution areas for D. bolosii (km2), relative to the areas and Habitat Suitability (HS). L, Low (10th Percentile=10P-0.6); M, Medium (0.6–0.8); H, High (0.8–1). Listed are the estimated range sizes (% change in range size) in current and future (2050, 2070) projections under the optimistic (RCP 4.5) and the pessimistic (RCP 8.5) models for climate change.
HS | EIS | PP-CMS | ST | T | ST/T | ||
---|---|---|---|---|---|---|---|
Current | L | 7416.3 | 14271.5 | 14127.1 | 35814.9 | 0.39 | |
M | 6848.6 | 7158.9 | |||||
H | 107.7 | 11.9 | |||||
RCP 4.5 | 2050 | L | 2139.3 | 3018.7 | 27790.8 | 32948.8 | 0.84 |
M | 6077.7 | 7070.3 | (96.7) | (–8.0) | |||
H | 3716.8 | 10926.0 | |||||
2070 | L | 1886.9 | 2081.7 | 39060.1 | 43028.7 | 0.91 | |
M | 4485.0 | 5971.8 | (176.5) | (20.1) | |||
H | 10002.3 | 18601.0 | |||||
RCP 8.5 | 2050 | L | 281.2 | 565.8 | 31654.5 | 32501.5 | 0.97 |
M | 1562.3 | 1898.4 | (124.1) | (–9.3) | |||
H | 11481.2 | 16712.6 | |||||
2070 | L | 61.5 | 163.4 | 24989.1 | 25214.0 | 0.99 | |
M | 1036.9 | 443.3 | (76.9) | (–29.6) | |||
H | 10838.0 | 12670.9 |
Extent of current and future potential distribution areas for D. fissum subsp. sordidum (km2), relative to the areas and Habitat Suitability (HS). L, Low (10th Percentile=10P-0.6); M, Medium (0.6–0.8); H, High (0.8–1). Listed are the estimated range sizes (% change in range size) in current and future (2050, 2070) projections under the optimistic (RCP 4.5) and the pessimistic (RCP 8.5) models for climate change.
HS | NSP | CS | MTR | SMR | BS | WIS | ST | T | ST/T | ||
---|---|---|---|---|---|---|---|---|---|---|---|
Current | L | 7122.5 | 7872.2 | 1108.3 | 890.0 | 3773.7 | 709.3 | 2126.0 | 23602.1 | 0.09 | |
M | 80.1 | 760.3 | 108.5 | 95.3 | 275.9 | - | |||||
H | - | 427.5 | 58.9 | 133.0 | 186.6 | - | |||||
RCP 4.5 | 2050 | L | 8011.2 | 9529.8 | 3285.3 | 1106.4 | 4949.5 | 3769.0 | 9173.8 | 39825.0 | 0.23 |
M | 52.9 | 1343.3 | 478.4 | 42.3 | 783.5 | 308.4 | (331.5) | (68.7) | |||
H | - | 648.5 | 1344.6 | 29.1 | 3817.3 | 325.6 | |||||
2070 | L | 4817.2 | 7299.9 | 434.7 | 25.8 | 3137.8 | 5653.6 | 7073.5 | 28442.4 | 0.25 | |
M | 25.1 | 841.0 | 53.6 | - | 581.0 | 601.5 | (232.7) | (20.5) | |||
H | 0.7 | 1265.2 | 39.7 | - | 3022.6 | 643.2 | |||||
RCP 8.5 | 2050 | L | 11870.2 | 11428.2 | 1047.5 | 232.9 | 4774.8 | 11364.0 | 20379.6 | 61097.3 | 0.33 |
M | 1171.2 | 1846.1 | 103.2 | 7.3 | 1173.9 | 1613.9 | (858.6) | (158.9) | |||
H | 1370.4 | 7352.8 | 261.4 | 2.0 | 3976.8 | 1500.7 | |||||
2070 | L | 10552.1 | 12966.6 | 2057.6 | 275.9 | 3301.9 | 6276.9 | 22879.5 | 58310.5 | 0.39 | |
M | 1382.9 | 2990.2 | 272.0 | 15.9 | 441.4 | 641.2 | (976.2) | (147.1) | |||
H | 2819.5 | 8952.1 | 575.0 | 7.3 | 4301.7 | 480.4 |
For D. bolosii, the total potential distribution area reduced for all the studied climate change scenarios, except for one (2070 RCP 4.5) (Table
Changes in range (percent) for D. bolosii and D. fissum subsp. sordidum between current time period and future climate change scenarios.
Taxon | Change in range | 2050 RCP 4.5 | 2070 RCP 4.5 | 2050 RCP 8.5 | 2070 RCP 8.5 |
---|---|---|---|---|---|
D. bolosii | Refuge (Persistence) | 66.8 | 82.2 | 50.4 | 44.5 |
Contraction (Loss) | 33.2 | 17.8 | 49.6 | 55.5 | |
Expansion (Gain) | 24.7 | 37.8 | 40.2 | 25.4 | |
D. fissum subsp. sordidum | Refuge (Persistence) | 77.9 | 52.7 | 70.9 | 80.9 |
Contraction (Loss) | 22.1 | 47.3 | 29.1 | 19.1 | |
Expansion (Gain) | 91.6 | 67.3 | 189.2 | 167.6 |
Projected changes in range for D. bolosii under future climate change scenarios for 2050 (A, B) and 2070 (C, D).
Projected changes in range for D. fissum subsp. sordidum under future climate change scenarios for 2050 (A, B) and 2070 (C, D).
Regarding the habitat suitability of both taxa in currently known populations, models forecast some variations under climate change scenarios (Table
Habitat suitability values by areas of the current occurrences points of D. bolosii and D. fissum subsp. sordidum under future climate change scenarios.
Taxon | Areas | Current | 2050 | 2070 | 2050 | 2070 |
---|---|---|---|---|---|---|
RCP 4.5 | RCP 4.5 | RCP 8.5 | RCP 8.5 | |||
D. bolosii | Pre-Pyrenean – CMS | 0.43–0.68 | 0.02–0.94 | 0.04–0.96 | 0.04–0.99 | 0.04–0.99 |
Eastern Iberian System | 0.16–0.81 | 0.11–0.16 | 0.16–0.98 | 0.18–0.31 | 0.12–0.31 | |
D. fissum subsp. sordidum | Baetic Systems | 1 | 1 | 0.99–1 | 1 | 1 |
Central System | 0.07–0.94 | 0.07–0.96 | 0.02–0.74 | 0.24–1 | 0.21–1 | |
North Sub-Plateau | 0.04–0.51 | 0.01–0.14 | 0–0.03 | 0–0.03 | 0.02–0.61 |
The models obtained for the series Fissa species reinforce the hypothesis of the differentiation of one eastern taxon (D. bolosii) and another western taxon (D. fissum subsp. sordidum) in the Iberian Peninsula following the migratory patterns proposed by
Apparently, the D. bolosii model selected different predictors that the model provided by
Firstly, the mean temperature of the driest quarter had the strongest influence on the habitat suitability of D. bolosii. In contrast, the variable that contributed the most in the model of D. fissum subsp. sordidum was the mean temperature of the wettest quarter (
Secondly, both models’ selected variables were related to the continentality of climate: with D. bolosii it was temperature seasonality, but was temperature annual range for D. fissum subsp. sordidum (
Both models selected the precipitation of the coldest quarter (i.e. winter season), although the optimal values for D. bolosii (approximately 100 mm) were lower than those indicated for D. fissum subsp. sordidum (approximately 200 mm). This difference can be explained because when D. bolosii restarts its biological cycle at the end of winter, it depends less on winter water reserves than D. fissum subsp. sordidum as spring is generally rainier in the north-eastern than in the western Iberian Peninsula.
Regarding the precipitation of the warmest quarter (i.e. summer season), D. fissum subsp. sordidum requires approximately 50 mm to complete blooming and fruiting stages (
Our models showed potential impacts of climate change on the series Fissa species in the Iberian Peninsula, a result that is consistent with previous climate change analyses conducted with mountain species (
Both taxa have limited dispersal ability since seed dispersal occurs by boleochory. These limitations can prevent species from successfully tracking climate to the potential areas of future overlaps (
From the conservation point of view, loss of habitat suitability seems worrying for some known populations of these two endangered endemic taxa. In particular, the Delphinium fissum subsp. sordidum populations located on the northern Sub-plateau, and some Delphinium bolosii populations located in the Catalan Mediterranean and Eastern Iberian Systems. According to
During the modelling process of the studied species, biotic variables like vegetation cover, species interactions or dispersal ability were not used. Biotic interactions were implicitly considered. Thus the realized niche of the studied species was modelled, which partly incorporates these interactions. In this way, models were simplified, but provided a static representation of the biotic interactions. This implies a source of uncertainty for models if interactions between species were modified, which could occur with climate change (
Another source of uncertainty in modelling species distribution stemmed from our inability to predict how species will be able to genetically adapt or express their phenotypic plasticity when faced with changing environmental conditions (
The changes in vegetation cover associated with climate change might also be another source of uncertainty. However, we think that this might not be relevant because the studied species are able to live in wide-ranging plant communities. However, the selected spatial scale may prove more significant because, in some cases, it might not reflect the more suitable microhabitats for the studied species (
In the Iberian Peninsula, the series Fissa of the genus Delphinium has diversified into two endemic and endangered taxa, D. bolosii and D. fissum subsp. sordidum, which do not have complete reproductive barriers and need similar climatic requirements. Despite their ecological similarities, climate change would cause different effects in the distribution area of each taxon: while for D. bolosii the total potential area would decrease, it would increase for D. fissum subsp. sordidum. In both cases, the potential distribution area would shift towards areas of higher continentality at present. The aforementioned orographic barriers may play an important role in the maintenance of non-overlapping potential areas. However, some of the populations would face a high risk of local extinction; therefore, monitoring efforts would be conducted for these populations as well as a joint conservation plan which includes in situ and ex situ conservation measures for both taxa.
Table S1. Environmental variables used in this study
Data type: environmental variables