Research Article |
Corresponding author: Nelson Colihueque ( ncolih@ulagos.cl ) Academic editor: Simone Sommer
© 2020 Nelson Colihueque, Aldo Arriagada, Andrea Fuentes.
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:
Colihueque N, Arriagada A, Fuentes A (2020) Distribution modelling of the Pudu deer (Pudu puda) in southern Chile. Nature Conservation 41: 47-69. https://doi.org/10.3897/natureconservation.41.53748
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The Pudu deer (Pudu puda) is endemic to the temperate rainforest of Chile and Argentina and currently faces serious conservation problems related to habitat loss. However, studies undertaken on this species are not sufficient to identify suitable areas for conservation purposes across its distribution range. In order to estimate the current and future distribution of the Pudu deer in southern Chile, we modelled the potential distribution of this species, based on occurrence points taken from seven contiguous provinces of this area using the Maxent modelling method. The Pudu deer distribution covered an estimated area of 17,912 km2 (24.1% of the area analysed), using a probability of occurrence above 0.529, according to the threshold that maximises the sum of sensitivity and specificity. In contrast to the Andes mountain range, areas with higher probabilities of occurrence were distributed mainly on the eastern and western slopes of the Coastal Mountain Range, where extensive coverage of native forest persists, as occurs in the provinces of Ranco, Osorno and Llanquihue. Projections to 2070, with global warming scenarios of 2.6 and 8.5 rcp, revealed that large areas will conserve their habitability, especially in the Coastal mountain range. Our results reveal that the Coastal mountain range has a high current and future habitability condition for the Pudu deer, a fact which may have conservation implications for this species.
conservation, habitability, niche modelling, Pudu deer, temperate rainforest, threatened species
The Pudu deer, Pudu puda (Molina, 1782), is a cervid endemic to southern South America, characterised by being one of the smallest deer in the world due to its short shoulder height (30–40 cm) and lower body weight (< 15 kg) (
Although the Pudu deer is under threat, few studies have been carried out on this species and available information is insufficient to clarify its density or identify suitable areas for conservation plans. With regard to density data, available estimations suggest that the Pudu deer population may be fewer than 10,000 individuals across its distribution range (
Osorno Province (40°13'‒41°00'S) is a geographic area located in the northernmost part of the Los Lagos Region. Around 15 native terrestrial mammals have been described in this Province, with the Pudu deer being the only one native deer currently distributed in this area (
The conservation of the Pudu deer in Chile requires combined efforts in several research areas, such as ecology, genetic structuring of populations and determination of the relative effect of different threats affecting the species in its natural environment. Amongst these issues, a top priority is to determine the current status of populations distributed in areas affected by significant loss or fragmentation of native forest or where it has been replaced by grasslands for agricultural purposes or by exotic forest plantations (Silva-Rodriguez et al. 2011). In the case of Osorno Province, this is a matter of particular concern, given that, between 2006 and 2013, the area planted with exotic tree species increased significantly (+20.6%), a large part of this growth being at the expense of native forest (
Mathematical modelling of species distributions based on maximum entropy (
The objective of this paper was to determine the distribution of the Pudu deer in seven Provinces from southern Chile, including the Osorno Province, by using modelling of species distribution, based on several recent occurrence data. We also modelled the future distribution of the species in the climate change scenario to determine how this phenomenon could affect its potential geographical distribution in the study area. This analysis may provide important clues as to how the species could respond to climate change, for example, in terms of variations in geographic range.
The area used for modelling the Pudu deer geographical distribution corresponded to the terrestrial environments between 39° and 44° South latitude of Chile. This geographic area comprises 74,295.5 km2 and includes, from north to south, the Provinces of Cautín (8,207.6 km2), Valdivia (9,146.8 km2), Ranco (9,053.1 km2), Osorno (9,246.6 km2), Llanquihue (14,706.8 km2), Chiloé (8,982.8 km2) and Palena (14,952 km2). This region contains a significant remnant of native temperate rainforest that covers a large proportion of each Province, as occurs in Osorno (42.9%), Llanquihue (54.5%), Chiloé (68.3%) and Palena (65.7%) (
Occurrence records of the Pudu deer were retrieved from several sources, including national park records (Puyehue National Park), incidents of individuals found (alive or injured) in rural areas of the province and reported in the local newspaper supported by photographs (El Diario Austral of Osorno), from records of native fauna rescue operations compiled by the Agricultural and Livestock Inspection Service (Servicio Agrícola y Ganadero (SAG)) Osorno, from direct observation of free-ranging individuals detected by using a camera trap and the naked eye and from indirect signs of the species revealed by footprints (Fig.
Records of occurrence of the Pudu deer in the geographic area studied. Free-ranging individuals registered by using a camera trap at Los Riscos (Coastal mountain range, Purranque district) (A), near Hueyusca village (Coastal mountain range, Purranque district) (B), injured juvenile individual found in a rural area at Choroy (Coastal mountain range, San Juan de la Costa district) and reported in the local newspaper (C) and footprints registered in Puyehue National Park (Andes mountains, Puyehue district) (D).
To evaluate the potential geographical distribution of the Pudu deer in the study area and to identify suitable habitats currently occupied by the species, a set of bioclimatic variables from the WorldClim database (http://www.worldclim.org/) were used (
To build geographical distribution models of the species under current and future environmental conditions, we used the MAXENT v.3.2.0 programme (
The fitted model, trained in the study area, was later projected to the terrestrial environments of provinces from southern Chile included between 39° and 44° south latitude, to estimate distribution of the species. The original map was converted to a binary map (0 = not suitable, 1 = suitable), applying a threshold, based on maximising the sum of sensitivity and specificity (SSS) (
Our dataset does not show significant (P > 0.05) spatial autocorrelation according to Moran’s I index, either at the longitudinal (I = 0.7790, P = 0.0845) or latitudinal (I = 0.0465, P = 0.8978) geographic coordinates. Therefore, this result indicates that, in both cases, the occurrence points are randomly distributed. The best fitting model has a gain in AUC training of 0.910, an AUC of 0.908 and a standard deviation of 0.037. The evaluation value of AUC above 0.9 indicates that the model has a high ability to discriminate between sites with species presence versus sites where species is absent (background sites). Based on the seven WorldClim bioclimatic variables, in addition to the variables of land cover and altitude, the Maxent model predicts that the Pudu deer probabilities of occurrence in the study area varied between 0.0 and 0.9 (Table
Projection of the fitted geographical distribution model of the Pudu deer in southern Chile. Projection under the current conditions (A), land use in the study area (B) and overlapping of suitable areas (grey areas) according to the SSS threshold value (> 0.529 of occurrence probability) on land use (C). In (A), red variations represent the predicted probability of suitable habitat conditions for the species.
Bar chart representing the size of estimated current Pudu deer distribution areas in different Provinces of southern Chile. The estimated distribution area was determined as the areas with high probability of occurrence (> 0.529), based on the threshold that maximises the sum of sensitivity and specificity. Total areas of each Province and size of estimated distribution areas (km2) are shown. Percentage of estimated distribution area with respect to total area of the Province is also indicated.
Occurrence probabilities and projected area for the current distribution of the Pudu deer in southern Chile.
Occurrence probabilities | Projected area (km2) | Contribution (%) |
---|---|---|
0.0‒0.1 | 6,401.0 | 8.6 |
0.1‒0.2 | 5,438.3 | 7.3 |
0.2‒0.3 | 8,652.6 | 11.6 |
0.3‒0.4 | 13,628.9 | 18.3 |
0.4‒0.5 | 17,545.7 | 23.6 |
0.5‒0.6 | 13,676.0 | 18.4 |
0.6‒0.7 | 7,056.0 | 9.5 |
0.7‒0.8 | 17,14.4 | 2.3 |
0.8‒0.9 | 182.6 | 0.2 |
0.9‒1.0 | 0.0 | 0.0 |
Total | 74,295.5 | 100 |
SSS threshold | 17,912.0 | 24.1 |
Estimates of relative contributions of the environmental variables to the Maxent model for the current geographical distribution of the Pudu deer in southern Chile.
Variable | Relative Contribution (%) | Permutation importance (%) | Jackknife of regularised training gain | |
---|---|---|---|---|
With only variable | Without variable | |||
Bio13 | 40.9 | 15.3 | 0.54 | 1.05 |
Bio15 | 34.5 | 11.0 | 0.37 | 1.00 |
Bio6 | 11.2 | 43.3 | 0.50 | 1.05 |
Bio18 | 4.0 | 14.2 | 0.51 | 1.08 |
Altitude | 3.4 | 6.2 | 0.27 | 1.07 |
Bio3 | 2.8 | 7.4 | 0.18 | 1.03 |
Bio5 | 2.8 | 1.4 | 0.19 | 1.07 |
Land cover | 0.5 | 1.3 | 0.02 | 1.08 |
Bio7 | 0 | 0 | 0.10 | 1.08 |
Since no projection data were available for land cover and altitude variable provided a limited contribution to the model, we excluded these variables when estimating the future geographical distribution of the Pudu deer. Thus, using the seven bioclimatic variables of WorldClim, Maxent predicts that the species currently develops over an area of 34,124.4 km2 (SSS threshold value > 0.443), in environments whose habitat probabilities of occurrence fluctuated between 0.0 and 0.9 (Table
Future geographical distribution of the Pudu deer in southern Chile. Estimations for current conditions (A) and for projections to 2070 under 2.6 rcp (B) and 8.5 rcp (C). Red variations represent the predicted probability of suitable habitat conditions for the species.
Binary maps showing future geographical distribution of the Pudu deer in southern Chile. Estimations for current conditions (A) and for projections to 2070 under 2.6 rcp (B) and 8.5 rcp (C). Grey areas represent the predicted probability of suitable habitat conditions for the species based on the SSS threshold value. SSS threshold values were as follows: > 0.443 for current scenario, > 0.435 for 2.6 rcp and > 0.540 for 8.5 rcp.
Probability ranges of occurrence of the Pudu deer in southern Chile for current conditions and projections for 2070 in two global warming scenarios.
Occurrence probabilities | Current potential distribution (km2) | 2.6 rcp scenario | 8.5 rcp scenario | ||
---|---|---|---|---|---|
km2 | Reduction (%) | km2 | Reduction (%) | ||
0.0‒0.1 | 6,900.7 | 6,346.1 | -8.0 | 6,596.0 | -4.4 |
0.1‒0.2 | 6,273.2 | 5,269.9 | -16.0 | 5,921.6 | -5.6 |
0.2‒0.3 | 9,043.1 | 8,351.5 | -7.6 | 8,874.2 | -1.9 |
0.3‒0.4 | 11,776.0 | 13,073.4 | +11.0 | 13,227.3 | +12.3 |
0.4‒0.5 | 15,874.9 | 16,063.0 | +1.2 | 12,622.2 | -20.5 |
0.5‒0.6 | 14,521.2 | 15,389.5 | +6.0 | 16,397.3 | +12.9 |
0.6‒0.7 | 7,271.4 | 7,076.3 | -2.7 | 7,905.3 | +8.7 |
0.7‒0.8 | 2,348.5 | 2,391.0 | +1.8 | 2,384.0 | +1.5 |
0.8‒0.9 | 286.5 | 334.4 | +16.7 | 367.5 | +28.3 |
0.9‒1.0 | 0.0 | 0.0 | – | 0.0 | – |
Total | 74,295.4 | 74,295.0 | 0.0 | 74,295.4 | 0.0 |
SSS threshold | 34,124,4 | 35,717.8 | +4.7 | 20,056.3 | -41.2 |
Relative contribution of the environmental variables used to model the future geographical distribution of the Pudu deer in southern Chile.
Variable | Future 2070 with 2.6 rcp | Future 2070 with 8.5 rcp | ||||||
---|---|---|---|---|---|---|---|---|
Relative Contribution (%) | Permutation importance (%) | Jackknife of regularised training gain | Relative Contribution (%) | Permutation importance (%) | Jackknife of regularised training gain | |||
With only variable | Without variable | With only variable | Without variable | |||||
Bio13 | 50.5 | 48.9 | 0.59 | 1.02 | 47.5 | 24.6 | 0.54 | 1.03 |
Bio15 | 28.1 | 4.7 | 0.31 | 1.03 | 26.3 | 5.1 | 0.26 | 1.02 |
Bio6 | 13.2 | 25.1 | 0.51 | 1.02 | 15.5 | 42.8 | 0.53 | 1.01 |
Bio3 | 3.3 | 7.1 | 0.11 | 1.02 | 6.3 | 17.3 | 0.12 | 0.98 |
Bio5 | 2.9 | 4.6 | 0.12 | 1.02 | 3.8 | 8.5 | 0.12 | 0.99 |
Bio7 | 1.2 | 0.8 | 0.10 | 1.07 | 0 | 0 | 0.12 | 1.04 |
Bio18 | 0.9 | 8.8 | 0.51 | 1.04 | 0.6 | 1.7 | 0.47 | 1.04 |
Our prediction of the current geographical distribution of the Pudu deer was consistent with the habitat hypothesis proposed for the species in southern Chile by
The potential distribution model shows that the areas with the best habitability conditions were located in the western Provinces of Ranco, Osorno and Llanquihue, overlapping with areas where the vegetation formations of the Valdivian Laurifolio Forest and Evergreen Forest of the Coastal Range predominate (
The AUC value above 0.9 suggests that our model describes the current potential of the Pudu deer distribution with a high degree of precision. Amongst the variables that mainly influenced probability of occurrence of the Pudu deer were precipitation of wettest month (Bio13), seasonality of precipitation (Bio15) and minimum temperature of coldest month (Bio6), which together contributed to 86.6% of the model. In contrast,
The evaluated climate change scenarios suggest that, in the future, Pudu deer would be prone to maintain their presence in large areas where habitability conditions are currently appropriate. However, as has been reported in other studies (e.g.
In contrast to the Andes mountain range, Maxent modelling predicted high probabilities of occurrence for the Pudu deer on the eastern and western slopes of the Coastal mountain range, located to the west of the Ranco, Osorno and Llanquihue Provinces, where extensive coverage of native forest persists, in addition to the northern sector part of the Province of Chiloé. In projections to 2070, with global warming scenarios of 2.6 and 8.5 rcp, this geographic area could conserve its habitability conditions that are currently appropriate for the species. Our prediction of potential Pudu deer geographical distribution is similar to the habitat identified for this species in southern Chile in a previous study. Since the Pudu deer is classified as Vulnerable in Chile, with a declining population size due to several factors, the distribution study performed here provides important data to identify specific geographic areas to develop conservation plans for this species. This is an important goal for the long-term conservation of the species.
We would like to thank the following people for collaborating with occurrence records of the Pudu deer from different sites of the analysed provinces: Carlos Oyarzún, Museo de Historia Natural de Purranque; Carlos Hernández, Parque Nacional Puyehue, Osorno; Gloria Rantul, Departamento de Recursos Naturales Renovables, Servicio Agrícola y Ganadero, Osorno; Mario Prussing, Centro de Reproducción del Pudu, Osorno; Hugo Oyarzo, Sitio Paleontológico de Pilauco, Osorno; Soraya Sade, Laboratorio de Ecología, Universidad de Los Lagos, Osorno; Javier Cabello, Centro de Rehabilitación de Fauna Silvestre, Universidad San Sebastián, Puerto Montt. The mapping support by Alicia Vásquez Parraguez is also appreciated. The English language editing of the manuscript was supported by the Dirección de Investigación of the Universidad de Los Lagos. This study was partially supported by grant R25-19 of the Dirección de Investigación of the Universidad de Los Lagos.
Table S1
Data type: species data
Explanation note: Details of the occurrence points of the Pudu deer (Pudu puda) from southern Chile, including locality, coordinate, date, type of evidence and source.
Table S2
Data type: species data
Explanation note: Details of the occurrence points of the Pudu deer (Pudu puda) from southern Chile obtained from previous studies, including locality, coordinate, date and source.