@Article{LouzadaBerDinGueRoq:2022:PrSeRe,
               author = "Louzada, R{\^o}mullo O. and Bergier, Ivan and Diniz, Juliana 
                         Maria Ferreira de Souza and Guerra, A. and Roque, F{\'a}bio de 
                         O.",
          affiliation = "{Universidade Federal de Mato Grosso do Sul (UFMS)} and {Embrapa 
                         Pantanal} and {Instituto Nacional de Pesquisas Espaciais (INPE)} 
                         and {Instituto Homem Pantaneiro} and {Universidade Federal de Mato 
                         Grosso do Sul (UFMS)}",
                title = "Priority setting for restoration in surrounding savannic areas of 
                         the Brazilian Pantanal based on soil loss risk and agrarian 
                         structure",
              journal = "Journal of Environmental Management",
                 year = "2022",
               volume = "323",
                pages = "e116219",
                month = "Dec.",
             keywords = "Agrarian structure, Check dams, Gullies, Palisades, Soil erosion, 
                         USLE.",
             abstract = "Soil health is at the core of the sustainability agenda. As in 
                         many agroecosystems in the tropics, soil erosion is a major issue 
                         in poorly managed pasturelands. A noteworthy case is located in 
                         the Upper Taquari River Basin (UTRB), as part of the Upper 
                         Paraguay Basin on the plateau with drainage waters for the Taquari 
                         megafan in the Brazilian Pantanal. Here we combine slope 
                         (S-factor), erodibility (E-factor), rainfall-rainy day ratio 
                         (R-factor), and vegetation and soil indices (C-factor) to locate 
                         erosion risk and prioritize eco-engineering interventions via 
                         palisades and small dams in UTRB. The method consisted of 
                         assessing distinct weights between Universal Soil Loss Equation 
                         (USLE) factors in a GIS platform, providing 35 combinations of 
                         classes as low, moderate, high, and very high erosive risk. The 
                         validation of the method was based on the ravine and plain ground 
                         truths obtained from high-resolution raster data. The best weight 
                         of USLE factors aids to locate critical erosive sites and 
                         vegetation patterns. Then, erosion risk and interventions were 
                         analyzed according to land use and rural property sizes in the 
                         government's Rural Environmental Registry (CAR) database. Overall, 
                         the natural factors of slope and erodibility in a proportion of 
                         25% and 75% in GIS algebra provided the best mapping accuracy 
                         result. About 65% of the UTRB has high or very high erosion risks, 
                         and 70% of the available area can be acknowledged as degraded 
                         pasturelands. A total of 4744 erosion interventions were recorded, 
                         with an accuracy of 65.28% and 61.15% for check dams and palisades 
                         interventions, respectively. The number of necessary interventions 
                         in areas of native vegetation was almost 50% higher than in 
                         pasturelands. Even though micro landowners occupy most of the 
                         watershed, large properties have about ten times as many areas at 
                         high risk of erosion. The mutual cooperation between properties, 
                         independently of size, is supported by governmental public 
                         policies like incentives for ecosystem services restoration of 
                         critical gullies, with CAR compliance and fiscalization.",
                  doi = "10.1016/j.jenvman.2022.116219",
                  url = "http://dx.doi.org/10.1016/j.jenvman.2022.116219",
                 issn = "0301-4797",
             language = "en",
           targetfile = "1-s2.0-S0301479722017923-main.pdf",
        urlaccessdate = "21 maio 2024"
}