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    Brazilian road proposal threatens famed biodiversity hotspot

    NEWS
    17 August 2021

    Brazilian road proposal threatens famed biodiversity hotspot

    Scientists and environmentalists say the road, slated to pass through Iguaçu National Park, could harm research projects and precious ecosystems.

    Meghie Rodrigues

    Meghie Rodrigues

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    Protesters oppose the Caminho do Colono at Iguaçu Falls.Credit: Marcos Labanca

    Brazil’s National Congress could soon vote on a bill proposing to construct a road through the country’s Iguaçu National Park. If the proposal moves ahead, researchers fear that it will threaten the park’s lush forest, a biodiversity hotspot that is home to almost 1,600 animal species, including endangered animals such as the purple-winged ground dove.Environmentalists and researchers have fought off construction of the 17.5-kilometre road for years, arguing that it will not only bring pollution to the park, but also poachers, who would threaten animals such as jaguars and tapirs. Even research in the park could be affected. In a portion of the park that dips into Argentina, for example, “poachers often steal our cameras”, says Julia Pardo, a mammal conservation and ecology researcher at the Subtropical Biology Institute in Misiones, Argentina.
    ‘Apocalyptic’ fires are ravaging the world’s largest tropical wetland
    Under the leadership of President Jair Bolsonaro, Brazil’s government has weakened protection of the country’s forests in favour of industries such as mining, logging and ranching. The lower house of Brazil’s Congress, the Chamber of Deputies, put the bill on a fast track in June, allowing it to skip regular debate among its committees and head straight for a vote — a move that has researchers worried.If passed, the legislation would establish a dangerous precedent that could weaken environmental law in Brazil, says Sylvia Torrecilha, a biologist at the Secretariat of Environment, Economic Development, Production and Family Agriculture in Mato Grosso do Sul. In addition to cutting Iguaçu Park in two with a road that will connect towns to its north and south (see ‘Contested route’), the bill seeks to create a new type of protected area — the estrada-parque, or park road — within Brazil’s System of Natural Conservation Units, which regulates environmentally protected areas. Approving the construction of the ‘Caminho do Colono’ (the Settler’s Road) in Iguaçu could literally pave the way for creating through-ways in other parks and conservation areas in Brazil, says Torrecilha.Normally, the idea of a park road is to preserve the green areas along an already-existing scenic route, she says, not to bring commercial or economic advancement to a state — the argument lawmakers have made in favour of the road. The proposal, from its very beginning, is “inappropriate”, she adds.A historical routeEstablished in 1939, Iguaçu National Park is famous for the waterfall — one of the world’s largest — on the border with Argentina along its southwestern tip. But it is also notable because it contains the largest remaining patch of Atlantic Forest in southern Brazil. Although less well-known than the Amazon rainforest, the Atlantic Forest is rich in plant and animal species, and originally stretched along the coast of southeastern Brazil and down to Argentina and Paraguay. However, the forest is rapidly disappearing: it has lost almost 90% of its tree cover, accelerated by deforestation from urbanization, and agricultural and industrial activities in the twentieth century. Because of these attributes, the park was designated as a World Heritage site by the United Nations cultural organization UNESCO in 1986.

    If the legislation is successful, it would actually enable the creation of the Caminho do Colono for the second time. The government of Paraná, the state where Iguaçu National Park is located, transformed an existing walking path into an unpaved version of the road during the 1950s. “Nobody cared much at the time because there wasn’t much difference between the inside and the outside of the park, as the Atlantic Forest stretched all over the place,” says former park chief Ivan Baptiston. “With all the deforestation of the last decades, nowadays, the scenario is a lot different.”In 1986 — the same year the park received its UNESCO World Heritage Site designation — Brazil’s Federal Prosecutor’s Office filed a civil suit to close the road, and the following year, a federal judge officially closed it. Since then, vegetation has overtaken the route, and some local residents have tried and failed to force it back open, claiming economic hardships associated with not being able to travel efficiently through the area.
    ‘We are being ignored’: Brazil’s researchers blame anti-science government for devastating COVID surge
    The new bill states that re-establishing the road would offer a “solution to a logistical problem in Paraná state”. Sponsored by Nelsi Coguetto Maria, a member of the Chamber of Deputies, the proposal also says it “answers a decades-old outcry of Paraná inhabitants, salvaging the region’s history and its socioeconomic, environmental and tourism relations.”Environmentalists have criticized Coguetto Maria for backing the bill. And local media outlets have reported that his family stands to potentially gain from the Caminho do Colono; two of his sons are partners in construction companies that could pave the road. Coguetto Maria’s office did not respond to Nature’s queries about this, or about researchers’ concerns over the road. When the Chamber of Deputies approved fast-tracking of the bill, he argued that the Brazil of today is “responsible”, and has the “competence and capacity to build an ecologically correct road”, pointing out that the road existed as a walking path before the park was even created.Research interruptedFor many conservationists and researchers, the economic argument to open the road doesn’t hold water. The damage caused to the park’s highly valued Atlantic Forest would far outweigh the potential economic gains for the surrounding towns1, they say. Furthermore, the species protected by the park are irreplaceable, they add. Iguaçu is the only location in the world where the jaguar population is increasing instead of declining. If the road opens, says Pardo, pressure on the animals will skyrocket. “Easy access is the main enabler for poachers,” she says.

    Iguaçu Falls is located along the border of Argentina and Brazil, on the Iguaçu River.Credit: Thiago Trevisan/Alamy

    Cars using the road will also cause air, soil, water and even sound pollution, says Victor Prasniewski, a conservation biologist at the Federal University of Mato Grosso in Brazil. Sound pollution, in particular, changes communication patterns among a number of species. “Birds that attract females by singing will be forced to sing louder or longer to get noticed,” says Prasniewski, who published a paper last year2 listing the potential negative impacts of the Caminho do Colono.“These changes can affect the reproduction and even the evolution of some birds,” says Carlos Araújo, a bioacoustics ecologist at Argentina’s Subtropical Biology Institute. “The building of a road would be catastrophic to research in my field,” he says.He works on a large-scale monitoring project looking for the purple-winged ground-dove, the last confirmed sighting of which was more than three decades ago. “It’s a rare animal, and we leave recorders spread over the forest to try and catch her singing. We often capture helicopter noise, which disturbs our work.” Cars and trucks on the road would create similar low-frequency noise, he says. “It will be a lot harder to find birds like this dove.”
    Brazil’s lawmakers renew push to weaken environmental rules
    For some, the argument that the road will enhance tourism in Paraná doesn’t make sense either. Reopening the road, says Carmel Croukamp Davies, chief executive of Parque das Aves, a private bird sanctuary and shelter near the park, could threaten Iguaçu’s UNESCO World Heritage title if it damages the park’s biodiversity and severs the Atlantic Forest. Visitors come because they want to experience nature, she adds: “Whoever doesn’t understand the impact of a proposal like this doesn’t understand an inch of tourism nor biodiversity.”With Brazil’s Congress having returned from holiday earlier this month, the bill could soon be put to a vote. And when it is, environmentalists worry it will be passed, given how many representatives within the Chamber of Deputies currently align with Bolsonaro. Then it would face the Senate, and finally, Bolsonaro, who is expected to ultimately approve it.

    doi: https://doi.org/10.1038/d41586-021-02199-x

    References1.Ortiz, R. A. Ambientalia 1, 141–160 (2009).
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    2.Prasniewski, V. M. et al. Ambio 49, 2061–2067 (2020).
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    Dayara bugyal restoration model in the alpine and subalpine region of the Central Himalaya: a step toward minimizing the impacts

    Restoration response evaluationMulti-criteria response analysis has been a crucial part of restoration evaluation work as a proper practical achievement which always includes multiple objectives defined by diverse stakeholders. In current work, a new framework was designed for restoration response evaluation by assessing three categories, direct management measure (M), environmental desirability (E) and socio-economic feasibility (SE). In total, 9 sub-categories and 22 individual variables were considered for evaluation of the present work41 (Table 6).Table 6 Response evaluation parameters.Full size tableDirect management measure (M) evaluationDuring the starting phase of the work, excessive grazing, uncontrolled tourism and continuous soil erosion were identified as major drivers behind the degradation of Dayara bugyal. Therefore, in the first category of the evaluation work, direct management measures to control the above-mentioned activities were analysed. The disturbances were controlled by managing both anthropogenic (M1) and natural (M2) processes. Under anthropogenic control process, grazing (A1) and tourism (A2) control activities were measured and soil erosion (B1) control activities was considered under natural control sub-category.Livestock carrying capacityLivestock carrying capacity of the pastureland was a measure for proper control of the estimation of grazing capacity. Forage yield of the area was calculated by considering the shoot production of 10 dominant palatable species of the area. Sample plant materials at the end of the growing season, were oven-dried at 80 (^circ)C till it reached at constant weight and then weighed in the laboratory. Thereafter, density of individual plant was measured by laying 30 quadrates of 1 × 1 m randomly placed within 50 × 50 m grid in the herb community (Eq. 1)42. Total 80 grids were sampled for analysis of 40 hectare degraded grazing land of the Dayara alpine pasture from the Papad Gad and Swari Gad area. Thereafter, 10 dominant palatable species covering ~ 33% of the total dry weight of the palatable and unpalatable species were considered for forage production calculation. Peak biomass was calculated by summing up the peak biomass of each individual to get the forage yield (Eq. 2). Finally, standard dry forage yield and proper rangeland carrying capacity was calculated by using Eqs. (3) and (4)43 as follows.$${text{Density }} = frac{{text{Total number of individuals of a species in all quadrates}}}{{text{Total number of quadrates laid}}}$$
    (1)
    $$Y = Y{text{p}} times A$$
    (2)
    where, Y = forage yield in a certain area (kg), Yp i = forage yield per unit area (kg/km2), A = land area of rangeland (km2) (i.e., total grazing area of the Dayara occupies 3.235 km2).$$F = mathop sum limits_{i = 1}^{n} Y_{{text{i}}} times {text{ U}}_{{text{i}}} times {text{ C}}_{{text{i}}}$$
    (3)
    where F = yield of standard dry forage (kg), Yi = forage yield (kg), Ui = utilizable rate (%), Ci = conversion coefficient.Utilization rate 50% and conversion coefficient 1 for meadow was considered for current work43 .$$Cc = frac{{text{F}}}{{{text{I}} times {text{D}}}}$$
    (4)
    where, Cc = proper livestock numbers that meadow can bear, F = yield of standard dry forage (kg), I = daily intake for an animal unit (7.5 kg/day, Table 7)*, D = Grazing days (May to September, 153 days).Table 7 Animal unit and forage requirement.Full size table*One animal consumes 3% of its body weight as dry forage44. Animal unit conversion was done after Rawat (2020)45.Tourists’ Carrying Capacity (TCC)The general formula of carrying capacity assessment for protected areas was first proposed by Cifuentes (1992), which was further applied in different fields46. The approach is to establish the capacity of an area for maximum visits based on existing physical, biological, and management conditions through the physical carrying capacity (PCC), and real carrying capacity (RCC). TCC is divided into the following levels:Physical Carrying Capacity (PCC)The PCC is the maximum number of tourists that can physically accommodate into or onto a specific area, over a particular time. The PCC (Eq. 5) may be estimated as follows:$${text{PCC }} = {text{ A}}/{text{Au}} times {text{ Rf}}$$
    (5)
    where, PCC = physical carrying capacity; A = Available area for tourists use ; 15%-18% area of the total geographical area is considered for the present work according to the expert opinion and URDPFI guidelines for hill towns47.Au = Area required per tourist; in general, it is considered 3 m2. However in the present work, 5 m2 area is considered for one person based on nature of the area is relatively more sensitive to degradation.Rf = Daily open period / average time of visit.Average opening time = 6 h (according to the field survey, tourists like timing for a day visit between 9 AM to 3 PM), time required by one tourist to visit the Dayara bugyal = 3 h.Rf = 6 h/3 h = 2.Real Carrying Capacity (RCC) (Eq. 6)Maximum permissible number of tourists to a specific site could be determined once the Correction factors (CF) becomes possible to derive out of the particular characteristics of the site. CF is applied to the PCC as follows.$${text{RCC }} = {text{ PCC }} times , left( {{text{Cf1}} times {text{ Cf2}} times {text{ Cf3}} times {text{ Cf4}} times cdots {text{Cfn}}} right)$$
    (6)
    where RCC = Real Carrying Capacity, PCC = Physical Carrying Capacity, Cf = Correction factors.Correction factors are calculated using the following formula.$${text{Cfx }} = { 1 }{-}{text{ Lmx }}/{text{ Tmx}}$$where Cfx = Correction factors of variable x, Lmx = Limiting magnitude of variable x, Tmx = Total magnitude of variable x.Tourism is dependent on nature. In the present work, number of days with heavy rain ( > 250 mm per day) and snowfall ( > 8 cm per day) were considered as limiting variables that control tourism for the area. The calculations were done by analyzing the rainfall and snowfall data from 2017 to 2019 considering March to November as rainfall months and December to February as snowfall months. Total numbers of days in the months were considered as total variables (Tmx) and the days with heavy rain/snow fall were considered as limiting variables (Lmx). For example, during 2017 to 2019 total number of days from March to November were 909 days (Tmx) and in 369 heavy rainfall occurred, therefore, Cf1 was 0.59 (1—Lmx/Tmx). Similarly, during this time heavy snowfall occurred for 51 days out of 186 days, and Cf2 was 0.72.Measurement of soil erosion controlEco-friendly bio-degradable coir geo-textile (9000 sq m) purchased from Coir Board of India, locally available pine needle (240 tonne) along with bamboo were roped in, to create a series of check dams and channels to control soil erosion, gully formation and vegetation loss. Prior to commencement, the leveling of uneven surfaces was done before laying the coir geo-textile. The open degraded sites in different patches of the bugyal, the eroded lateral sites of the gullies were then covered with geo-textile to control soil erosion. Total 38 check dams in the Swari Gad area were examined for draining soil holding capacity. After one year of the treatment, total mass of debris stored by each check dams was evaluated using core density method. The core density of bulk soil in each check dam was determined in triplicates, using an iron core of 2.5 cm radius and 30 cm height. The mass of draining soil checked by each check dam was calculated as under48:$${text{Md }} = {text{ V }} times , rho {text{b}}$$where, Md = The mass of debris in each check dam, V = Volume of check dam, ρb = Mean core density of bulk of soil in each check dam.Environmental desirability (E) assessmentIn this part, environmental desirability, the direct ecological outputs of the work were considered under this category, as habitat enhancement is the most crucial component of the activity. The sub-component considered under the category included vegetation structure (vegetation diversity, vegetation cover) and ecological progress (soil chemical properties)20. Vegetation sampling was done by considering 30 randomly placed quadrates of 1 × 1 m inside 9 sample plots of 5-50 m along three different zones of the treated water channel areas using vertical belt transact method49. The zones were: (i) geo-coir treated area, (ii) untreated degraded area, (iii) reference untreated non-degraded area along with both sides of the water channels wherein total vegetation density (Eq. 1) was analysed following the methodology of Misra (1968) and Mueller-Dombois & Ellenberg (1974)50,51.Soil samplingSoil samples (30 cm depth) were collected from the experimental site in triplicates using random sampling method from all the three investigation zones, namely, Untreated undegraded zone (R), Geo-coir Treated Zone (GTZ) and Untreated Degraded Zone (UTZ). Fresh samples were taken from each plot (50 random soil cores per replicate per investigation zones) and were mixed thoroughly as one composite sample for further study. Here, it is to mention that utmost care was taken to collect each replicate as composite soil sample to appropriately represent the investigation zones of varied topography. Hence, total 9 soil samples (3 samples per investigation zones) were collected to determine its physico-chemical characteristics. After collection, the soil samples were preserved in a portable storage box and transported to the lab immediately. After air drying and grinding, it was passed through 2-mm sieve, and selected soil properties viz. soil organic carbon (SOC) (%), soil pH, total nitrogen (N), phosphorus (P), potassium (K) contents (%), and water holding capacity (WHC) (%) were determined.Soil physico-chemical analysisThe SOC content in soil was determined by wet oxidation method using K2Cr2O752. The soil pH was measured with a suspension of soil in water at a 1:2.5 (soil : water) soil-to-solution ratio using a glass electrode. Calibration of the pH meter was done with the help of two buffer solutions of pH 7.0 and 9.253. The WHC of the soil was determined by measuring the ratio of total water in the wet soil to the weight of the air-dried soil using a Keen– Rackzowski box54. Total N was analysed following the micro Kjeldahl method55. Total phosphorous (TP) was determined using the HClO4-H2SO4 method56 and total potassium (TK) was measured by Flame Photometer (NaOH melting)57.Socio-economic feasibility (SE) assessmentTo investigate the opinion of local residents about the restoration initiative, village survey was conducted in two adjacent villages of the Dayara bugyal, Barsu (2232 m) and Raithal (2258 m). Participants had to indicate the degree of the work in above mentioned three scales (M, E and SE). The questionnaire comprising of questions covered perception about the above discussed six categories (Supplementary S10). Total 60 respondents from different households were randomly selected from each village. The sample consisted of villagers as well as administrative staff. The informants were randomly chosen across 3 different age groups, 20–40, 40–60 and  > 60 year58. Economic feasibility was the first class and parameters considered under this category included cost-effectiveness of the material used, economic efficiency, i.e., benefit–cost ratio and economic impact of the generated income. In addition, social acceptability is the next category, where two sub-parameters were considered, procedural equity (inclusivity and participatory) in response to planning and designing and social preference that covers over current practices, access to resources and services. In the fourth category, technical feasibility was considered which included three subcategories. Adoption lag means waiting period required to adopt the response, replicability of the response and technical sophistication associated with response. In sixth category, cultural acceptability was considered to deal with alignment of the work with cultural, spiritual and aesthetic heritage values, beliefs and social norms and use of traditional (indigenous and local) knowledge and practices. In the last category, political feasibility was considered, where existing policy/legislation and governance mechanism (clarity on roles/responsibilities of stakeholders) was analysed. Each restoration response is ranked using a relative effectiveness or performance rating scale of low (L), moderate (M), or high (H). These effectiveness response ratings for each sub-criterion also reflect no (or minimal), some (or moderate) and major (or substantial) improvement, respectively, relative to the initial condition (pre-response).Index score calculationRestoration success index was calculated, by considering three categories, viz., direct management measure (M), environmental desirability (E), and socio-economic feasibility (SE). In the first scoring part, all the 22 individual variables were evaluated for calculation of “variable index”, by assigning index score between 0 and 3, where 0 rated for ‘not satisfactory’ and 3 rated for ‘satisfactory’. For first two categories, i.e., direct management measure (M), environmental desirability (E), and direct field values were considered. The last category, socio-economic feasibility was indexed depending on village questionnaire survey. The second score “category index” was calculated by adding all variable index and divided by number of independent variables within that category. Finally, the “restoration evaluation index” was evaluated by summing all category scores, dividing by the maximum possible score (16) and multiplying by 10059 (Fig. 8). Ecosystem differences between reference, degraded and restored sites category and ecosystem index scores were determined using unpaired one way ANOVA by using categories viz., direct management measure (M) and environmental desirability (E). To estimate the most affected variable between references, degraded and restored sites, discriminant function analysis (DFA) was carried out, using the field values of all measured independent variables under second category.Figure 8Detailed outline of the scoring process applied for restoration evaluation index calculation for the Dayara bugyal.Full size image More

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