1. Introduction
Argentine Patagonia region includes the provinces Neuquén, Río Negro, Chubut, Santa Cruz and Tierra del Fuego. Water has been the greatest limiting factor for this area, conditioning the development of the region. Thus, the population has settled near the watercourses to fulfill the main needs of potable water.
The topography of the study area is complex with a succession of valleys and mountains. In general the altitude increases towards the west but near some rivers and lakes, like Azul River and Puelo Lake, the height is low (200–300 m). Some important cities are situated at 800 meters (San Carlos de Bariloche, San Martin de los Andes, Esquel, etc.) but they are located very near to mountains such as Tronador, Lanin and Fitz Roy which reach 3,000 meters.
Patagonia draws tourists for the quality and the diversity of its natural attractions, as well as for its geographic location, which make it particularly attractive to foreign tourists. In fact, although the main market of Patagonia is still national tourism, the arrival of foreign tourists has increased considerably in the last decade.
The two main ecosystems are the forest and the steppe. The Patagonian forest extends along the Andes from Neuquén province to Tierra del Fuego province, occupying a total surface of 1.2 million hectares. Only 4% of this area is occupied by afforested forest producing in a few years timber with the value of 2 million $US. This percentage of forest changed to afforested land in the according provinces is 23% in Neuquén, 5% in Chubut and 4% in Río Negro [
1]. The native forest contains mainly
Nothofagus sp. (lenga, cohiue, ñire,
etc.) while the afforested forest contains exotic species, above all, the
Pinus sp. characterized by quicker growth than the native species.
In this paper the study area is northwestern Patagonia (20 million hectares) which contains part of Neuquén, Río Negro and Chubut provinces. This region is very important for tourism, forestry, water power generation and agriculture. The goal of this study is to analyze the climate variation, as well as the demography and the main land coverage of this subregion.
Precipitation is scarce, with the exception of areas in or near the Andes Mountain Chain where the rivers crossing the Patagonian plateau start.
The region has scarcely available meteorological data mainly because the National Meteorological Service (NMS) has few stations. There is only one station belonging to the National Institute of Agronomic Technology—INTA (Bariloche INTA), which is located very close to the corresponding one from NMS. National Water Resources holds precipitation measurements but the data series have serious problems: they are not of the same period, the locations of the pluviometers do not answer the specifications of the Meteorological World Organization, they are not complete records and so they cannot be used to study climate variation.
Barros
et al. [
2] used all the available information of Patagonia—and more stations located in other Argentine areas—to show that monthly precipitation has negative trends over the northwestern of Patagonia and the simulations carried out using climate models suggest that this variability is related to the atmospheric circulation changes in the Southern Hemisphere and is linked with climate change. In fact, the Antarctic Oscillation (AAO) exerts a significant influence on the precipitation trends in the region, when the sea level pressure decreases at polar latitudes it increases at middle latitudes altering the precipitation regimes in the entire region.
At the mid- and high latitudes, the Arctic and Antarctic oscillation (AO and AAO) are the dominant modes of the interannual climate variability. The AAO, also referred to as Southern Annular Mode (SAM), is the dominant pattern of non-seasonal tropospheric circulation variations below 20 °S, and it is characterized by positive pressure anomalies over Antarctica and negative anomalies over an area centered at about 40–50 °S, or
vice versa. According to New
et al. [
3], the AO explains 48% and 35% of the area-averaged winter precipitation variability over land in the latitude bands 60–80 °N and 40–60 °N, respectively. On the contrary, in the area included between 40 °S and 60 °S a marked and univocal trend has not been observed, the land precipitation was inferior to the average until 1930, above the average in the period from 1930 to 1960 and again below average until 2005. It should, however, be noted that this domain is represented only by southern South America and New Zealand, and therefore has a relatively small land area.
Recent studies realized by Kayano and Andreoli [
4] provided diagnostic evidence on modulations of El Niño–Southern Oscillation (ENSO) teleconnections by lower frequency climate modes. One of these modes is the well known Pacific (inter-)Decadal Oscillation (PDO), which explains part of the decadal–multidecadal variability in the tropical and mid latitude Pacific.
All these climate variations influence the ecosystems of Patagonia and so the treelines.
According to Daniels and Veblen [
5], despite the broad-scale constraints on treelines imposed by global-scale thermal trends, factors other than temperature influence treeline elevation and structure at fine spatial scales. Regional- to local-scale factors are particularly important in mountainous terrain, where topographic effects modify coarse-scale climate trends. They studied one of the species of
Nothofagus (
N. pumilio). The
Nothofagus sp. are very important in Patagonia. The tree radial growth and seedling establishment of
Nothofagus pumilio, at alpine treeline near 40 °S latitude in Chile and Argentina, showed time- and site-dependent relationships to interannual-and decadal-scale climate variation. A shift in climate from cool–wet to warm–dry conditions facilitated comparison of climate–vegetation relationships during two distinct periods: 1957–1976 and 1977–1996. Consistent with the Pacific trend, Argentine moisture indices were mostly positive from 1914 to 1976, and warm, dry conditions have dominated since 1977. The 1976–1977 shift in Argentine climate coincides with shifts in ENSO and the PDO, and suggests hemispheric-scale climatic controls. After 1976, there was an increase in the relative importance of El Niño years (negative phase) compared to La Niña years (positive phase), which is linked with marked changes in regional climates worldwide. Understanding climatic influences on
Nothofagus pumilio growing at treeline at mid-latitudes in Argentina has proven complex. Temperature and moisture availability do not have significant influences on tree radial growth and seedling establishment at treeline, but the traditional temperature paradigm nor moisture availability explains treeline dynamics adequately for all sites or during both warm-dry and cool-wet periods. Rather, temperature and precipitation interact and climate relationships have been unstable through time and among study areas.
2. Materials and Methods
Figure 1 shows the study area which comprises sixteen departments (counties): five in the province of Neuquén (Collón Curá, Confluencia, Lacar, Los Lagos and Picun Leufú), six of the province of Chubut (Cushamen, Futaleufú, Gastre, Languiñeo, Paso de los Indios and Tehuelches) and five in the province of Río Negro (25 de Mayo, San Carlos de Bariloche, El Cuy, Ñorquinco and Pilcaniyeu). This area was selected because data of climate and vegetation were available.
INDEC Argentina (acronym for National Institute of Statistic and Census) has provided the Population Census data. The corresponding statistics referring to the 1991 and 2001 censuses have been studied for each departments of the study area, with the aim of carrying out a comparative analysis of both censuses. The considered indicators are total population, population growth and population density for the period 1991–2001 [
6,
7].
Figure 1.
Location of the departments in the northwestern Patagonia region, adapted from [
10].
Figure 1.
Location of the departments in the northwestern Patagonia region, adapted from [
10].
Daily precipitation data and the daily mean values of maximum and mean minimum temperatures were provided by the National Meteorological Service.
Table 1 and
Table 2 show the meteorological stations used, their coordinates and the period of available data and
Figure 2 shows the location of the stations.
According to the data, for all stations the warmest month is January (summer) and the coldest is July (winter), considering the minimum and maximum temperatures.
The Mann Kendall non parametric test, one of the most commonly used tools for detecting trends in climatic and hydrologic time series has been applied to meteorological data by taking as null hypothesis the assumption that the data are independent and randomly ordered. This method has the advantage of being insensitive to the true (unknown) form of the distribution involved. Moreover, as indicated by Yue
et al. [
8] the power of the Mann–Kendall and Spearman's rho tests depend on the pre-assigned significance level, magnitude of trend, sample size, and the amount of variation within a time series after both tests are analyzed by Monte Carlo simulation.
Table 1.
Characteristics of the meteorological stations used for the temperature analysis.
Table 1.
Characteristics of the meteorological stations used for the temperature analysis.
Station | Latitude | Longitude | Height (m) | Period |
---|
Bariloche | 42°06′ S | 71°10′ W | 836 | 1980–2008 |
Esquel | 42°54′ S | 71°09′ W | 785 | 1980–2008 |
Neuquen | 38°57′ S | 68°08′ W | 271 | 1980–2008 |
Maquinchao | 41°15′ S | 68°44′ W | 888 | 1980–2008 |
Table 2.
Characteristics of the meteorological stations used for the precipitation analysis.
Table 2.
Characteristics of the meteorological stations used for the precipitation analysis.
Station | Latitude | Longitude | Height (m) | Period |
---|
Bariloche | 41°09′ S | 71°10′ W | 840 | 1960–2008 |
El Bolsón | 41°58′ S | 71°30′ W | 337 | 1978–2008 |
Maquinchao | 41°15′ S | 68°40′ W | 888 | 1960–2008 |
Chapelco | 40°05′ S | 71°10′ W | 779 | 1990–2008 |
Neuquén | 38°57′ S | 68°10′ W | 271 | 1960–2008 |
Esquel | 42°56′ S | 71°10′ W | 797 | 1960–2008 |
Paso de los Indios | 43°49′ S | 68°50′ W | 460 | 1968–2008 |
Río Colorado | 39°01′ S | 64°05′ W | 79 | 1960–2008 |
Figure 2.
Location of the meteorological stations used in this work. [Realized by the authors].
Figure 2.
Location of the meteorological stations used in this work. [Realized by the authors].
The indicators of soil coverage used are forestland, type of forestland (only one predominant specie or mixed forest), forest of native or exotic species, degraded forests and shrublands. Other forestlands are those with more than 20% of shrub in their composition and the heights of the trees are lower than 7 meters. All these data have been obtained from the National Environment [
9].
4. Conclusions
This paper aimed to present to the scientific community the results of a wide collection of several types of data in a specific region; the northwestern Patagonia in Argentina. The data collection has been difficult due to the lack of knowledge and basic information on many topics that is an obstacle for any analysis, in particular, scarce meteorological information and vegetation maps at different scales.
The study area had experienced changes in climate, demography and land uses.
The population in the studied area increased by 18.3% in the period 1991–2001 and the population density, according to Census 2001, was 2.9 inhabitants per km2, clearly lower than the national population (13 inhabitants/km2).
The growth of urban areas does not consider an urbanization plan, leading to danger for the stability of the ecosystems and the natural resources of the analyzed region, promoting environmental problems.
The development of human activities like agriculture, the construction of wooden houses and afforestation, removed the soil and caused serious disturbances to the ecosystems. The humid Andean stripe has important natural forests that are suffering diverse human pressures like deforestation and fire. Its reduction may also modify the boundaries between forest and bushes.
The climate showed interdecadal and interannual variations, so climate variability should be taken into account in future human activities, mainly when natural resources are involved. The precipitation study of the area is complicated by the high spatial and altitudinal variability. Nevertheless, a continuous decrease in rainfall is expected in future years, caused by the displacement of the Pacific anticyclone towards the south. A decline in precipitation would also lead to an increasing risk of forest fires across the area. The persistence of the precipitation negative trends would favor the advance of the Patagonian bushes over the forest.
As the impacts of climate change in this part of Argentina are not yet as severe as in other areas of the world, there is time to prepare, such as building institutional capacity to adapt to the main threats.
For example: increasing the number of afforestation projects could have consequences for water availability in the future and have other goals:
To decrease desertification in the area;
To decrease pressure on native forests;
To diversify local livelihoods; and
To contribute to global carbon dioxide (CO2) fixation.
Several investments have also been made in order to improve the forest fire management and some changes were introduced in the regeneration and the management of native forests; these are not based on climate change perceptions but would be useful adaptations to those changes.
A more coordinated approach may be necessary to specifically address the climatic risk of different forms of agriculture and forestry. Land use planning needs to take better account of the environmental thresholds of different types of agriculture or forest land use—with incentives to induce greater diversity and consequent resilience.