How to choose the best category for a protected area? A multicriteria analysis method based on ecosystem services conservation.

This study proposes a novel methodology to define protected area (PA) categories based on the analysis of how much a PA can protect important ecosystem services (ESs). PA are important tools to minimize the continuing global biodiversity conservation crisis. However, the contribution of PA to conservation is variable, mainly due to the diverse management categories with which they can be associated. In order to support the assignment of a PA to a management category, a multicriteria analysis (MCA) strategy was developed. Essentially, it consisted of the application of an analytic hierarchy process (AHP) and its association to management categories that could support the conservation of the most significant ESs. To test the methodology, the framework was applied to the Carijós Ecological Station (ESEC Carijós), Santa Catarina, Brazil, and its surrounding area of influence. Using the IUCN list of categories for the case study, it was found that IUCN Ia and IV could be the most efficient measures to protect important ESs at ESEC Carijós. Although the methodology was applied to a particular case, it could be employed worldwide, establishing the best category to be assigned to an existing or proposed potential PA.

An open-source geospatial framework for beach litter monitoring.

Here, we present a framework for a beach litter monitoring process, based on free and open-source software (FOSS), which allows customization for any sampling design. The framework was developed by means of a GIS project (QGIS), a GIS collector (QField), and an R code, allowing further adjustments according to the area to be surveyed and research questions. The aim is to improve data collection, accessibility, and interoperability, as well as to help to fill the currently existing gap between fieldwork and data analysis, preventing typos and allowing better data processing. Therefore, it is expected to take less than an hour from ending fieldwork to obtaining up-to-date products. To test the developed open-source geospatial framework, it was applied in different sectors and dates on an important southern Brazilian touristic beach. Results obtained from the open-source geospatial framework application produce baseline information on beach litter issues, such as amounts, sources, and spatial and temporal patterns. Adoption of the framework can facilitate data collection by local and regional stakeholders, and the results obtained from it can be applied to support management strategies. For researchers, it produces spatialized data for each item in an already tidy format, which can be used for robust and complex models. A series of supplementary files support reproducibility and provide a guide to future users.

Coastal vulnerability to wave impacts using a multi-criteria index: Santa Catarina (Brazil).

The damage of coastal infrastructure due to wave action has stimulated the need for vulnerability assessments for integrated coastal management. Vulnerability is described as the ability of people living in an area to anticipate, cope with, resist and recover from the impact produced by a coastal hazard. This study aims to develop a multi-criteria index to assess coastal vulnerability to waves. Therefore, we analyze the Santa Catarina State (southern Brazil) coastline vulnerability to the incident wave climate. The applied coastal vulnerability index (CVI) was obtained by integrating the adaptive capacity index (ACI), composed of socioeconomic and locational variables, and the susceptibility index (SI), composed of physical variables. The resulting coastal dynamics from nearshore wave processes were analyzed through numerical models and integrated with other variables in a geographic information system (GIS). The relevance of the variables to the index was obtained by the analytic hierarchy process (AHP). The variables and indices were hierarchized into five vulnerability classes and represented in the administrative sectors defined by the local State Coastal Management Plan. Based on the AHP results, the physical variables were considered more relevant than the socioeconomic and locational variables. In general, the southern portion of the state presented higher susceptibility degrees, a lower income per capita and a lower number of second residences than the northern portion. At the same time, the northern portion presented higher percentages of developed areas, which are predominantly situated along susceptible and vulnerable segments. The numerical modeling of wave propagation has a large impact on the vulnerability as a function of the higher weights assigned to the related variables by experts and the high variability of the significant wave height along the state's coastline. Our results emphasize the importance of the inclusion of physical variables, such as waves, when defining coastal management measures in coastal zones.

Multidisciplinary dataset for geological and environmental studies in the lake of Cavazzo (Southern Alps).

The present dataset was collected to evaluate the environmental stressors on a lacustrine basin in the Eastern Alps of glacial origin that has been affected in recent years by natural and anthropogenic events such as the construction of a hydroelectric power plant and a series of strong earthquakes during 1976-1977. We collected sediment cores in different sites from the lake margins to the depocenter and performed a multiproxy analysis of sediment sample to highlight lake stratigraphy and major changes occurring at a decadal scale (Polonia et al., [1]). The integrated analyses of sedimentological, geochemical, isotopic, mineralogical and micropaleontological analyses aimed at reconstructing changes in sediment composition and define the triggering mechanisms of altered environmental conditions. The dataset demonstrates that evaluating ex post the effects of artificial modification in a natural environment during relatively long time spans (decades) can provide important insights for managing and protection strategies in similar environments worldwide.

Troubles in the paradise: Litter and its scenic impact on the North Santa Catarina island beaches, Brazil.

Eight touristic beaches along the north coast of Santa Catarina Island, Brazil were assessed to determine litter influence on scenic quality. The application of the Coastal Scenic Evaluation System (CSES) categorized these beaches into four of the five available classes. Six of the investigated beaches belong to Class III (n = 3) and V (n = 3), while two beaches correspond to Class II and Class IV. Class I beaches were not found. A total amount of 4291 litter items weighing 29 kg were collected with average abundances of 0.29 items m2. Beach user's habits as well bad management practices along the adjoining river basins play an essential role on litter source, and are directly responsible for the decline of scenic quality of Santa Catarina Island Beaches. In fact, litter has a direct relation with the low scenic scores determined in the surveyed beaches.

Spatial patterns of benthic foraminifera as a support to the oceanographic characterisation of Arvoredo biological marine reserve (South Atlantic, Brazil).

This paper analyses the distribution of benthic foraminifera in a sector of the inner continental shelf of Santa Catarina State (Brazil), which comprises a Marine Protected Area (MPA). Species indicators of continental input suggest that waters under the influence of continental drainage can eventually reach the southwestern part of the reserve, which might jeopardise the ecosystems of this MPA due to the transport of contaminants related to human activities. Species known to be indicators of high marine benthic productivity were more abundant below 30 m, and were associated with areas under the stronger influence of nutrient-enriched water mass. The high density of foraminifera and the low dominance of species found in most samples inside the reserve might be evidence for the positive effects of the prohibition of bottom trawling, ensuring a higher ecological equilibrium of benthic communities. These results can contribute to the current debate about the reclassification and change in the extent of this MPA.