Loading [Contrib]/a11y/accessibility-menu.js
Research article

Forest planning, rural practices, and woodland cover in an 18th-century Alpine Valley (Val di Fiemme, Italy): A geohistorical and GIS-based approach to the history of environmental resources

  • The importance of past human activities in determining the extent and composition of current woodland cover has long been recognized. Understanding the environmental dynamics that have characterized vegetation over time, as well as the productive rural practices associated with them, can have significant repercussion on the current and future management of environmental resources. Scholars have identified a significant shift in woodland exploitation regimes in Europe, occurring between the late 18th and early 19th centuries. During this period, several states introduce modern forestry which gradually replaced local agro-silvo-pastoral structures. Geohistorical sources can help reconstruct these previous management systems and provide information on past environments. This paper has two main objectives: to increase knowledge of environmental and landscape dynamics in the Alpine context through a specific case study, and demonstrate the potential of geographic information systems (GIS) software in handling geohistorical sources. The case study of Val di Fiemme (Italy) has been chosen for two reasons: it is an area that has high forest presence and peculiar vegetation cover and the local archive contains a great deal of documentation. Specifically, the documents drafted by an Austrian Commission for forest management in the 18th century have been interpreted as an attempt by the Habsburg Crown to restructure the valley towards a timber economy. Documentation was collected, digitized, and mapped to build a historical GIS, showing woodland ownership status, tree species, and practices in the 18th century. As a result, a socio-ecological system was identified that significantly differs from the current one, revealing a greater diversity of species. The establishment of Habsburg norms represents a watershed in forest management with direct environmental effects that can be seen over the subsequent century. In conclusion, the study demonstrates the potential of using GIS-based approaches to analyze textual geohistorical sources and extend the analyzed diachrony to periods prior to the geometrical cartographic ones.

    Citation: Nicola Gabellieri, Ettore Sarzotti. Forest planning, rural practices, and woodland cover in an 18th-century Alpine Valley (Val di Fiemme, Italy): A geohistorical and GIS-based approach to the history of environmental resources[J]. AIMS Geosciences, 2024, 10(4): 767-791. doi: 10.3934/geosci.2024038

    Related Papers:

    [1] Elysson Marcks G. Andrade, Geovani S. de Lima, Vera Lúcia A. de Lima, Saulo S. da Silva, Hans R. Gheyi, Auryclennedy C. Araújo, Josivanda P. Gomes, Lauriane A. dos A. Soares . Production and postharvest quality of yellow passion fruit cultivated with saline water and hydrogen peroxide. AIMS Agriculture and Food, 2019, 4(4): 907-920. doi: 10.3934/agrfood.2019.4.907
    [2] Gregorio Gullo, Antonio Dattola, Vincenzo Vonella, Rocco Zappia . Performance of the Brasiliano 92 orange cultivar with six trifoliate rootstocks. AIMS Agriculture and Food, 2021, 6(1): 203-215. doi: 10.3934/agrfood.2021013
    [3] Yenni, Mohd Hafiz Ibrahim, Rosimah Nulit, Siti Zaharah Sakimin . Influence of drought stress on growth, biochemical changes and leaf gas exchange of strawberry (Fragaria × ananassa Duch.) in Indonesia. AIMS Agriculture and Food, 2022, 7(1): 37-60. doi: 10.3934/agrfood.2022003
    [4] Nurul Amalina Mohd Zain, Mohd Razi Ismail, Norazrin Ariffin, Wan Abd Al Qadr Imad Wan-Mohtar, Fairuz Fatini Mohd Yusof . Potassium fertilisation reduced late embryogenesis abundant (LEA) gene expression in Malaysian rice (MR220) under water stress condition. AIMS Agriculture and Food, 2019, 4(2): 376-385. doi: 10.3934/agrfood.2019.2.376
    [5] Alaika Kassim, Tilahun S. Workneh, Mark D. Laing . A review of the postharvest characteristics and pre-packaging treatments of citrus fruit. AIMS Agriculture and Food, 2020, 5(3): 337-364. doi: 10.3934/agrfood.2020.3.337
    [6] Geovani S. de Lima, Vicente Elias da S. Neto, Hans R. Gheyi, Reginaldo G. Nobre, Genilson L. Diniz, Lauriane A. dos Anjos Soares, Pedro D. Fernandes, Fernandes A. de Almeida, Francisco Wesley A. Pinheiro . Photosynthetic pigments and photochemical efficiency of precocious dwarf cashew (Anacardium occidentale L.) under salt stress and potassium fertilization. AIMS Agriculture and Food, 2019, 4(4): 1007-1019. doi: 10.3934/agrfood.2019.4.1007
    [7] Tuan Syaripah Najihah, Mohd Hafiz Ibrahim, A'fifah Abd Razak, Rosimah Nulit, Puteri Edaroyati Megat Wahab . Effects of water stress on the growth, physiology and biochemical properties of oil palm seedlings. AIMS Agriculture and Food, 2019, 4(4): 854-868. doi: 10.3934/agrfood.2019.4.854
    [8] Diana N. Sholehah, Sucipto Hariyanto, Hery Purnobasuki . Effect of salinity on growth, physiology, and production of groundcherry (Physalis angulata L.). AIMS Agriculture and Food, 2022, 7(4): 750-761. doi: 10.3934/agrfood.2022046
    [9] Supriyono Loekito, Afandi, Auliana Afandi, Naomasa Nishimura, Hiroyuki Koyama, Masateru Senge . Gypsum supplies calcium to Ultisol soil and its effect on Phytophthora nicotianae, pineapple (Ananas comosus) growth, yield and fruit quality in lower single row bed under climate change issue. AIMS Agriculture and Food, 2022, 7(3): 721-736. doi: 10.3934/agrfood.2022044
    [10] Francyelli Regina Costa-Becheleni, Enrique Troyo-Diéguez, Alan Amado Ruiz-Hernández, Fernando Ayala-Niño, Luis Alejandro Bustamante-Salazar, Alfonso Medel-Narváez, Raúl Octavio Martínez-Rincón, Rosario Maribel Robles-Sánchez . Determination of bioactive compounds and antioxidant capacity of the halophytes Suaeda edulis and Suaeda esteroa (Chenopodiaceae): An option as novel healthy agro-foods. AIMS Agriculture and Food, 2024, 9(3): 716-742. doi: 10.3934/agrfood.2024039
  • The importance of past human activities in determining the extent and composition of current woodland cover has long been recognized. Understanding the environmental dynamics that have characterized vegetation over time, as well as the productive rural practices associated with them, can have significant repercussion on the current and future management of environmental resources. Scholars have identified a significant shift in woodland exploitation regimes in Europe, occurring between the late 18th and early 19th centuries. During this period, several states introduce modern forestry which gradually replaced local agro-silvo-pastoral structures. Geohistorical sources can help reconstruct these previous management systems and provide information on past environments. This paper has two main objectives: to increase knowledge of environmental and landscape dynamics in the Alpine context through a specific case study, and demonstrate the potential of geographic information systems (GIS) software in handling geohistorical sources. The case study of Val di Fiemme (Italy) has been chosen for two reasons: it is an area that has high forest presence and peculiar vegetation cover and the local archive contains a great deal of documentation. Specifically, the documents drafted by an Austrian Commission for forest management in the 18th century have been interpreted as an attempt by the Habsburg Crown to restructure the valley towards a timber economy. Documentation was collected, digitized, and mapped to build a historical GIS, showing woodland ownership status, tree species, and practices in the 18th century. As a result, a socio-ecological system was identified that significantly differs from the current one, revealing a greater diversity of species. The establishment of Habsburg norms represents a watershed in forest management with direct environmental effects that can be seen over the subsequent century. In conclusion, the study demonstrates the potential of using GIS-based approaches to analyze textual geohistorical sources and extend the analyzed diachrony to periods prior to the geometrical cartographic ones.



    The Passiflora genus consists of over 500 species of passion fruit, which are distributed in tropical and subtropical areas worldwide, with Passiflora edulis Sims being the most prevalent [1,2]. Among these species, Passiflora edulis Sims, also known as sour passion fruit, is the most widely grown commercially [3] due to its nutrient-rich fruit and the presence of various biologically active compounds that have immunological and disease-preventive properties [4].

    In 2022, the passion fruit production in Brazil exceeded 697 thousand tons, with an average yield of 15,303 kg ha−1. The Northeast region accounted for nearly 70% of the total national production [5]. However, analyzing the historical data from 2013 to 2022, it becomes evident that this region has consistently recorded lower average yields compared to the national average and other regions like the South, Southeast, and Midwest, despite its significant contribution to the annual production.

    One potential reason for this situation may be the utilization of water containing elevated salt levels, a prevalent approach adopted by producers in this area due to the water scarcity caused by climatic conditions. The presence of salts in irrigation water reduces the osmotic potential of the soil, thereby limiting the availability of water and nutrients to plants. Additionally, it leads to the accumulation of sodium (Na+) and chloride (Cl) ions to harmful levels [6], which adversely affects the transportation of water within the plant by increasing the hydraulic resistance of the xylem in the root, stem, and leaves [7,8].

    Under the condition of salt stress, various crucial processes for plant growth and development, including photosynthesis, lipid and hormonal metabolism, protein synthesis, and enzymatic activity [9], are impacted. As a result, the production and postharvest quality [10,11] are reduced, and in severe cases, cell death occurs due to the generation of reactive oxygen species (ROS) [12].

    In this particular scenario, it becomes imperative to employ management strategies that aim to mitigate the detrimental effects of salt stress on crops. One such strategy involves the fertilization with potassium, which directly influences photosynthetic activity, water retention in plant tissues, protein synthesis, and the formation, transportation, and storage of carbohydrates in the phloem [13,14].

    Potassium has the ability to alleviate the negative impacts of salt stress through various mechanisms, including reducing the intercellular content of ROS, enhancing the activity of antioxidant enzymes, and promoting nitrogen uptake in plants [15]. Additionally, the provision of K can decrease the uptake of Na and Cl by plants, as these nutrients compete for absorption sites, which can reduce the effects of salt stress. The impact of K on the metabolic processes mentioned above significantly influences the pre- and post-harvest quality of fruits, affecting their morphological, biochemical, and nutritional characteristics, as well as aspects related to their commercialization and industrialization [16].

    This research raises the hypothesis that K fertilization plays a role in regulating the metabolic activity of plants, thereby reducing the impact of salt stress on the production, physical, and chemical attributes of sour passion fruit. The aim of this study was to assess the production and postharvest quality of the 'BRS Sol do Cerrado' passion fruit cultivar, irrigated with brackish water and K fertilization in field conditions in the Brazilian semi-arid region.

    The study was conducted from November 2021 to July 2022 in the fruit cultivation sector at the 'Rolando Enrique Rivas Castellón' Experimental Farm, which is part of the Center of Sciences and Agrifood Technology of the Federal University of Campina Grande situated in the municipality of São Domingos, PB, Brazil. The coordinates of the farm are 06º48'50" S latitude and 37º56'31" W longitude, at an elevation of 190 m.

    A randomized block design was implemented in a 5 × 4 factorial arrangement. Treatments consisted of combination of five levels of electrical conductivity of irrigation water (ECw): 0.3, 1.1, 1.9, 2.7, and 3.5 dS m−1, and four potassium doses (KD): 60, 80,100, and 120% of the recommended amount, with 3 replications, resulting in a total of 60 experimental plots. The ECw levels were based on a previous study [17]. The 100% dose of potassium corresponded to 345 g of K2O per plant annually, as per [18], and applications started 20 days after transplanting (DAT). The sour passion fruit genotype used was 'BRS Sol do Cerrado' (BRS SC1), chosen for its demonstrated tolerance to salinity [19]. Seedlings were produced in a controlled ambient on benches. Polyethylene bags measuring 15 × 20 cm were utilized as containers, filled with a substrate (mixture of soil and well-decomposed cattle manure in a 2:1 ratio on volume basis, respectively).

    The experimental setup and implementation involved planting three seeds per bag at a depth of 0.5 cm. Once the seedlings emerged, thinning was conducted to retain only one plant per bag. Throughout the seedling production phase, irrigation was carried out using water with an ECw of 0.3 dS m−1. The study was conducted under field conditions using recepients adopted as drainage lysimeters, each with a capacity of 100 L. These recepients were filled with approximately 110 kg of Entisol with a loamy sand texture collected from a nearby private farm. The physical-hydraulic, and chemical properties were analyzed according to the methodologies recommended by [20], obtaining the following values: Ca2+, Mg2+, Na+, K+, and Al3+ + H+ = 3.00, 2.44, 0.05, 0.12, and 0.69 cmolc kg−1, respectively; pH (soil:water, 1:2.5) = 6.01; ECse = 0.71 dS m−1; organic matter = 0.21 dag kg−1; sand, silt, and clay = 75.65, 20.21, and 4.34 dag kg−1, respectively; P = 0.53 mg kg−1; SARse = 0.61 (mmol L−1)0.5; ESP = 0.8%; and CEC = 6.25 cmolc kg−1.

    Plants were supported by a vertical trellis system constructed with galvanized steel wire (no. 12) at a height of 1.2 m from the soil surface in the recepient. Nylon twine was used to stake the plants, and once they grew beyond 10 cm above the trellis, the apical bud was pruned to promote the development of two secondary branches, each extending to a length of 1.50 m in opposite directions. After reaching the specified length, the apical buds were pruned again to obtain tertiary branches, which were allowed to grow downwords until they reached 30 cm from the soil surface to prevent potential contamination. Plant spacing was set at 3.0 m between plants and 2.5 m between rows.

    Seedlings were transplanted into the recepients 60 days after sowing, coinciding with the emergence of tendrils. For the initial 30 days post-transplantation, all plants received irrigation with an ECw of 0.3 dS m−1; starting from day 31, irrigation was performed using the respective electrical conductivity water.

    Urea (45% N), single superphosphate (20% P2O5), and potassium sulfate (51.5% K2O) were utilized for fertilization to provide nitrogen, phosphorus, and potassium, respectively. The nitrogen and potassium fertilization was divided and applied monthly during the crop cycle, maintaining an N/K ratio of 1/1 during flowering, 1/2 at the start of harvest, and 1/3 until the end of harvest. Phosphorus was applied as a single basal dose and mixed into the soil as the recepients were filled, following the guidelines of [18].

    Micronutrients were applied every two weeks using Dripsol® micro (Mg = 1.1%; B = 0.85%; Cu (Cu-EDTA) = 0.5%; Fe (FeEDTA) = 3.4%; Mn (Mn-EDTA) = 3.2%; Mo = 0.05%; Zn = 4.2%; with 70% EDTA chelating agent) at a concentration of 1 g L−1 through foliar spraying. The Haiten® adhesive spreader was used at a concentration of 0.15 mL L−1 during micronutrient applications.

    The irrigation water utilized in the treatment with the lowest salinity level (ECw = 0.3 dS m−1) originated from a well situated in the experimental area of the CCTA/UFCG. The analysis of this water showed the following characteristics: Ca2+, Mg2+, K+, SO42−, HCO3, CO32−, and Cl = 0.17, 0.61, 1.41, 0.29, 0.18, 0.81, and 1.26 mmolc L−1, respectively. The water had an electrical conductivity (EC) of 0.30 dS m−1, pH of 7.10, and sodium adsorption ratio (SAR) of 2.25 (mmol L−1)0.5. To obtain waters with varying electrical conductivity levels, sodium chloride (NaCl) was added to the well water and adjusted to the desired electrical conductivities, taking into consideration the relationship between EC and salt concentration [21].

    A drip irrigation system was employed, with each plant receiving two pressure-compensating drippers having a flow rate of 10 L h−1. Irrigation was conducted daily starting at 7:00 a.m., with the volume determined by the water balance applied to each recepient. A leaching fraction of 0.2 was applied every 15 days to prevent the excessive accumulation of salts in the root zone.

    Weed control was performed by manually removing weeds between the rows of the lysimeters and around the base of the plants. Pests and diseases were prevently controlled using Ridomil Gold®, a fungicide containing Metalaxyl-M (40 g kg−1) and Mancozeb (640 g kg−1), at a concentration of 2.5 g L−1. In addition, the insecticides were also used [Cyptrin 250 CE® (Cypermethrin 250 g L−1) at a concentration of 1 mL L−1 and Connect® (Beta-cyfluthrin 12.5 g L−1) and Imidacloprid (100 g L−1) at a dose equivalent to 750 mL ha−1 of the commercial product].

    The effects of the different treatments were evaluated on the production components and postharvest quality of the sour passion fruits at harvest (160 DAT).

    The number of fruits per plant (NFP) was determined by direct counting, and the fresh fruit mass (FFM) was obtained using an analog scale. Additionally, the following physical characteristics of the fruits were assessed: equatorial (ED) and polar (PD) diameter, which were measured with a digital caliper; pulp mass (PM), which was obtained using an analog scale; pulp volume (PV), which was determined with a graduated flask; and pulp yield (PY), which was calculated by dividing PM by FFM. Fruits that had a fully yellow or reddish peel color and naturally detached from the plant were considered to be at the optimal maturity stage.

    Following the harvest, the pulp was manually extracted and promptly stored in a freezer at −10 ℃. The storage was done using hermetically sealed glass jars as containers. Furthermore, the passion fruit pulp underwent analysis for various postharvest quality traits. These traits included hydrogen potential (pH), soluble solids (SS), ascorbic acid (AA), titratable acidity (TA), total sugars (TS), and the ratio of soluble solids to titratable acidity (SS/TA).

    To determine the soluble solids content, a portable digital refractometer (Atago® PAL-1) was utilized. The titratable acidity was measured through titration with 0.1 N NaOH, following the method described by [22]. The ratio of soluble solids to titratable acidity was obtained by dividing the soluble solids content by the titratable acidity content. The hydrogen potential was determined using a pH meter 9 (pH-1900), after its calibration performed using buffer solutions at pH 4.0 and 7.0, as outlined in the methodology proposed by reference [23]. The total sugars were determined using the anthrone method, as described in the methodology provided by [24]. Lastly, the ascorbic acid contents were determined through titration with a 2, 6-dichlocrophenolindophenol (DCPIP) solution, following the methodology proposed by reference [25].

    The results were assessed through a principal component analysis (PCA) to examine the multivariate structure, condensing the information from the original dataset into fewer dimensions. The linear combinations of the original variables, derived from eigenvalues (λ ≥ 1.0) in the correlation matrix, explained over 10% of the total variance [26]. Following dimension reduction, a multivariate analysis of variance was conducted on the variables of each component using the test recommended by [27] at a probability level of 0.05 for irrigation water electrical conductivity, potassium doses, and their interaction. Only variables with a correlation coefficient of 0.65 or higher were retained in each principal component (PC) [28].

    Statistical analyses were carried out using Statistica v. 7.0 software [29]. The data underwent the Shapiro-Wilk normality test, and upon confirmation of normality, an analysis of variance was performed using the F test (p ≤ 0.05). In cases of significance, linear and quadratic polynomial regression analyses were conducted for the factors under study with the statistical software SISVAR-ESAL [30].

    The original variables' multidimensional space underwent reduction to two principal components (PC1 and PC2) with eigenvalues exceeding λ ≥ 1.0, as indicated by [31]. The eigenvalues and the percentage of explained variance for each component (Table 1) collectively accounted for 64.75% of the total variation. PC1 elucidated 40.45% of the total variance, encompassing the majority of variables, while PC2 explained 24.30% of the residual variance.

    Table 1.  Eigenvalues, percentage of total variance explained in the multivariate analysis of variance, probability of significance by Hotelling's test (p-value) for the factors electrical conductivity of irrigation water (ECw), potassium doses (KD), and ECw × KD interaction, and coefficients of correlation (r) between original variables and principal components.
    Principal Components (PCs)
    PC1 PC2
    Eigenvalues (λ) 3.64 2.18
    Percentage of total variance (S2%) 40.45 24.30
    Hotelling test (T2) for electrical conductivity of water (ECw) 0.01 0.01
    Hotelling test (T2) for potassium doses (KD) 0.01 0.05
    Hotelling test (T2) for interaction (ECw × KD) 0.01 0.01
    PCs Coefficient of correlation
    NFP PD ED FFM PM PV pH SS AA
    PC1 −0.15 0.66 0.87 0.91 0.85 0.89 0.05 −0.05 0.11
    PC2 −0.79 0.06 0.15 −0.12 −0.06 −0.05 0.74 0.73 −0.65
    ECw-Electrical conductivity of water, KD-potassium dose; NFP-number of fruits per plant, PD-polar diameter; ED-equatorial diameter; FFM-fresh fruit mass; PM-pulp mass; PV-pulp volume; pH-hydrogen potential; SS-soluble solids; AA-ascorbic acid.

     | Show Table
    DownLoad: CSV

    There was a notable impact (p ≤ 0.01) of the interaction between the electrical conductivity levels of water (ECw) and the KDs for PC1 and PC2 (Table 1). Upon separate examination, a significant effect (p ≤ 0.01) was noted for the ECw levels in both principal components and for the KDs in PC1. In PC2, the KDs showed a significant effect (p ≤ 0.05).

    The mean values for the number of fruits per plant, the polar and equatorial diameter, the fresh fruit mass, the pulp mass, the pulp volume, the hydrogen potential, the soluble solids, and ascorbic acid are detailed in Table 2.

    Table 2.  Mean values of number of fruits per plant, polar diameter, equatorial diameter, fresh fruit mass, pulp mass, pulp volume, hydrogen potential, soluble solids, and ascorbic acid of sour passion fruit plants, irrigated with saline water and subjected to potassium fertilizer.
    TREAT Mean values
    NFP PD ED FFM PM PV pH SS AA
    EC1KD1 13.33 ± 3.18 82.56 ± 2.26 76.09 ± 2.35 157.64 ± 16.16 78.39 ± 6.41 79.16 ± 6.37 2.28 ± 0.00 12.93 ± 0.03 6.98 ± 0.17
    EC1KD2 16.67 ± 1.67 85.84 ± 1.58 81.81 ± 3.37 204.71 ± 2.35 97.81 ± 7.25 102.72 ± 2.82 2.36 ± 0.02 11.20 ± 0.10 6.29 ± 0.17
    EC1KD3 12.00 ± 1.73 99.72 ± 3.74 86.25 ± 2.15 213.56 ± 3.80 80.59 ± 3.03 80.94 ± 1.70 2.49 ± 0.01 13.40 ± 0.10 5.60 ± 0.11
    EC1KD4 19.67 ± 5.24 91.96 ± 7.34 83.12 ± 5.29 262.98 ± 16.40 110.87 ± 10.80 114.88 ± 10.75 2.29 ± 0.00 13.03 ± 0.13 12.16 ± 0.38
    EC2KD1 9.67 ± 0.88 89.78 ± 2.99 84.77 ± 3.05 206.71 ± 11.47 82.28 ± 0.94 94.04 ± 6.04 2.39 ± 0.01 12.30 ± 0.06 4.49 ± 0.26
    EC2KD2 17.33 ± 0.33 91.17 ± 3.15 82.86 ± 3.34 205.24 ± 20.53 90.01 ± 3.90 89.00 ± 4.91 2.30 ± 0.00 10.03 ± 0.09 18.16 ± 0.55
    EC2KD3 11.67 ± 2.67 97.09 ± 3.52 84.65 ± 3.17 201.07 ± 5.96 82.41 ± 2.29 82.70 ± 0.92 2.33 ± 0.07 11.73 ± 0.03 5.64 ± 0.42
    EC2KD4 9.00 ± 1.53 88.86 ± 2.21 78.01 ± 0.55 175.17 ± 7.52 83.55 ± 2.00 81.50 ± 3.75 2.40 ± 0.01 11.13 ± 0.20 5.65 ± 0.30
    EC3KD1 15.33 ± 0.33 88.28 ± 2.91 83.39 ± 3.07 229.82 ± 7.09 84.60 ± 3.50 86.67 ± 4.14 2.21 ± 0.01 13.57 ± 0.03 5.85 ± 0.14
    EC3KD2 13.00 ± 0.58 85.16 ± 7.21 75.98 ± 5.74 163.90 ± 4.05 53.46 ± 0.21 58.75 ± 0.72 2.23 ± 0.03 8.63 ± 0.03 4.16 ± 0.10
    EC3KD3 15.33 ± 0.88 74.95 ± 6.17 67.33 ± 3.83 108.57 ± 5.42 52.59 ± 4.53 52.75 ± 4.76 2.38 ± 0.01 14.03 ± 0.03 7.43 ± 0.14
    EC3KD4 11.67 ± 0.33 83.48 ± 3.05 79.13 ± 3.88 180.75 ± 9.75 99.11 ± 7.62 74.64 ± 7.43 2.29 ± 0.00 12.27 ± 0.03 8.43 ± 0.37
    EC4KD1 4.67 ± 0.33 84.53 ± 1.62 82.52 ± 3.22 198.81 ± 18.28 98.63 ± 5.73 99.08 ± 6.60 2.40 ± 0.00 14.90 ± 0.00 6.22 ± 0.04
    EC4KD2 15.67 ± 0.67 87.61 ± 2.22 80.84 ± 5.66 206.46 ± 21.21 103.41 ± 3.50 103.78 ± 3.92 2.28 ± 0.00 9.47 ± 0.42 18.27 ± 0.40
    EC4KD3 14.00 ± 5.65 82.15 ± 2.92 76.70 ± 2.71 219.27 ± 12.65 109.54 ± 6.62 108.50 ± 6.06 2.28 ± 0.04 11.37 ± 0.07 5.77 ± 0.18
    EC4KD4 6.33 ± 0.88 86.06 ± 1.90 78.17 ± 2.25 157.53 ± 13.51 80.54 ± 3.38 82.63 ± 3.68 2.57 ± 0.03 12.33 ± 0.12 6.78 ± 0.37
    EC5KD1 12.00 ± 1.15 83.92 ± 1.08 85.97 ± 5.77 177.81 ± 18.56 98.26 ± 15.61 95.50 ± 9.88 2.46 ± 0.00 11.27 ± 0.09 5.48 ± 0.25
    EC5KD2 11.33 ± 0.88 80.04 ± 0.74 72.16 ± 0.26 148.51 ± 0.37 70.45 ± 4.51 70.46 ± 5.03 2.30 ± 0.10 10.73 ± 0.03 17.31 ± 0.46
    EC5KD3 13.00 ± 1.73 80.40 ± 2.90 71.71 ± 1.44 157.39 ± 14.94 67.37 ± 1.86 67.08 ± 2.01 2.37 ± 0.01 12.53 ± 0.12 5.26 ± 0.14
    EC5KD4 13.67 ± 2.73 82.29 ± 4.43 82.66 ± 3.62 227.34 ± 17.52 92.47 ± 18.51 96.25 ± 17.18 2.49 ± 0.01 11.33 ± 0.03 5.81 ± 0.00
    KD-potassium dose, KD1-60% of the recommendation; KD2-80% of the recommendation; KD3-100% of the recommendation; KD4-120% of the recommendation; ±-standard deviation; NFP-number of fruits per plant, PD-polar diameter (mm); ED-equatorial diameter (mm); FFM-fresh fruit mass (g per plant); PM-pulp mass (g); PV-pulp volume (mL); pH-hydrogen potential; SS-soluble solids; AA-ascorbic acid (mg 100g−1 of pulp).

     | Show Table
    DownLoad: CSV

    Figures 1A and 1B illustrate the impact of the treatments and variables on the first and second principal components (PC1 and PC2) respectively. PC1 represents a potential interaction between the electrical conductivity levels of the irrigation water and the potassium doses (ECw × KD). The correlation coefficients for the polar diameter, equatorial diameter, fresh fruit mass, pulp mass, and pulp volume were all 0.66 or greater.

    Figure 1.  Two-dimensional projection of the scores of the principal components for the factors levels of electrical conductivity of water—EC and genotypes of sour passion fruit (A) and the variables analyzed (B) in the two principal components (PC1 and PC2).
    KD-potassium fertilization dose, KD1 (60% of the K recommendation); KD2 (80% of the K recommendation); KD3 (100% of the K recommendation); KD4 (120% of the K recommendation).

    The treatments that received a potassium dose equivalent to 100% of the recommendation [18] and an electrical conductivity of the irrigation water of 0.3 dS m−1 (EC1KD3) showed the largest diameters, both polar and equatorial, with values of 99.72 mm and 86.25 mm, respectively (Table 2). On the other hand, the plants that received K fertilization equivalent to 100% of the K recommendation and an ECw of 1.9 dS m−1 (EC3KD3) had the lowest values for both diameters. A reduction of 24.84% in the polar diameter and 21.93% in the equatorial diameter was observed when comparing the treatments EC1KD3 and EC3KD3. This suggests that increasing the potassium dose did not counteract the negative effects of salt stress on the physical parameters of the sour passion fruits. The presence of excess salts in the soil solution severely hindered the absorption of water and nutrients by the plants, which can have detrimental effects on the growth, production, and quality of the crops [32]. In a study on the production and postharvest quality of sour passion fruits irrigated with saline waters (0.6 to 3.0 dS m−1) and treated with exogenous application of H2O2 (0, 15, 30, and 45 μM), [33] also observed a reduction in the equatorial and polar diameters of the fruits with increase in electrical conductivity of the water.

    The FFM, PM, and PV values were highest when the plants were fertilized with a dose equivalent to 120% of the K recommendation and irrigated with water of 0.3 dS m−1 (EC1KD4). This resulted in 262.98 g per plant, 110.87 g, and 114.88 mL, respectively. On the other hand, the lowest values were obtained when the plants were irrigated with water of 1.9 dS m−1 under K fertilization with 100% of the recommendation (EC3KD3), resulting in 108.57 g per plant, 52.59 g, and 52.75 mL, respectively. Comparing the EC3KD3 treatment to the EC1KD4 treatment, there were reductions of 58.71% (154.41 g per plant) in the FFM, 52.56% (58.28 g) in the PM, and 54.08% (62.43 g) in the PV of the cultivated plants (Table 2). The FFM, PM, and PV increased with higher K fertilization when the plants were cultivated with water of low electrical conductivity (0.3 dS m−1). However, there was no attenuating effect of potassium observed when plants were cultivated under the highest electrical conductivity levels of the irrigation water. This lack of effect may be due to the high salt index (46%) of the fertilizer used (potassium sulfate) in the experiment, which can intensify the effects of salinity and compromise the absorption of calcium and magnesium by the plants [34]. The FFM reflects the net accumulation of water in the fruit, as it is influenced by water inflow and outflow as well as photosynthetic products [35].

    The reductions in FFM, PM, and PV are likely caused by the effects of salinity, which restrict water and nutrient uptake by the roots, leading to losses in production parameters under stress conditions [36]. In a separate study, [33] also observed a reduction in the FFM of the sour passion fruit with increasing electrical conductivity levels of the irrigation water (0.6 to 3.0 dS m−1) in the first crop cycle under protected environmental conditions. The data for the PC2 indicated that the eigenvalues were 0.65 or above for the number of fruits per plant, pH, soluble solids, and ascorbic acid (Table 3).

    Table 3.  Summary of the analysis of variance for titratable acidity (TA), total sugars (TS), soluble solids to titratable acidity ratio (SS/TA), and pulp yield (PY), in the fruit pulp of 'BRS Sol do Cerrado' sour passion fruit cultivated under irrigation water salinity and potassium fertilization.
    Sources of variation DF Mean squares
    TA TS SS/TA PY
    Electrical conductivity (ECw) 4 101.61** 49.62** 0.002** 120.48*
    Linear Regression 1 272.55** 12.86** 0.004** 190.61*
    Quadratic Regression 1 50.23** 0.03ns 0.004** 4.28ns
    Potassium doses (KD) 3 476.55** 48.40** 0.002** 34.79ns
    Linear Regression 1 97.11** 18.24** 0.006** 3.04ns
    Quadratic Regression 1 506.63** 20.61** 0.001** 99.61ns
    Interaction (ECw × KD) 12 154.78** 29.05** 0.01** 142.31**
    Block 2 1.02 0.13 0.00 25.42
    Residual 38 1.42 0.10 0.00 45.52
    CV (%) 2.47 3.30 3.55 14.75
    DF-degrees of freedom; CV (%)-coefficient of variation; * significant at 0.05 probability level; ** significant at 0.01 probability level; ns not significant, by the F test (p > 0.05).

     | Show Table
    DownLoad: CSV

    The plants that received water with an ECw of 0.3 dS m−1 and were fertilized with 120% of the recommended K dose had the highest number of fruits per plant, reaching 19.67 fruits per plant. This was 321.2% higher than the yield of plants grown under an ECw of 2.7 dS m−1 (4.67 fruits per plant) and fertilized with 60% of the recommended potassium dose (EC4KD1). The highest fruit yield was observed when plants were irrigated with water of the lowest ECw in combination with the highest K dose (120% of the recommended amount).

    Under conditions of salt stress, various physiological processes such as photosynthesis, lipid metabolism, hormonal regulation, enzymatic activity, and protein synthesis were adversely affected. Osmotic stress and ion toxicity led to oxidative stress reactions involving reactive oxygen species (ROS), resulting in lipid peroxidation of membranes and proteins, and in severe cases, cell death [37,38]. A study by [39] on sour passion fruit cultivation with saline water (0.3 to 3.5 dS m−1) of different cationic compositions revealed that the highest fruit yield (11.33 fruits) was achieved with water of low electrical conductivity (0.3 dS m−1). Furthermore, the research indicated that an increase in ECw had a negative impact on the number of sour passion fruit plants, irrespective of the cationic nature.

    In terms of pH, the fruits from plants grown under an electrical conductivity of 2.7 dS m−1 and a potassium dose of 120% of the K recommendation (EC4KD4) recorded the highest value of.57. Conversely, the lowest pH value of 2.21 was observed in the fruit pulp from plants irrigated with water of 1.9 dS m−1 and fertilized with 60% of the K (EC3KD1), resulting in a 14% decrease (0.36 units) compared to the treatment with the highest pH value (EC4KD4) (Table 2). These pH values are lower than those reported by [40], who found an average pH of 3.00 in the fruit pulp of the sour passion fruit accession 'Guinezinho' grown with biofertilizer and saline water (4.45 dS m−1).

    The highest soluble solids (SS) content of 14.90 ºBrix was observed in the fruits from plants irrigated with water of 2.7 dS m−1 and fertilized with 60% of the K recommendation (Table 2). On the other hand, the lowest SS content of 8.63 ºBrix was observed when plants were irrigated with water of 1.9 dS m−1 and fertilized with 80% of the K (EC3KD2). It is worth noting that only treatments with ECw levels of 1.1, 1.9, 2.7, and 3.5 dS m−1, in combination with 80% of the K recommendation, did not meet the minimum commercialization requirement of 11 °Brix set by the Brazilian Ministry of Agriculture, Livestock, and Food Supply [41]. This suggests that fruits from other treatments in this study have suitable quality for commercial purposes.

    The ascorbic acid (AA) contents showed the lowest value (4.16 mg 100g−1 of pulp) when irrigated with water of 1.9 dS m−1 and fertilized with 80% of the recommended K dose (EC3KD2), which was also observed for the pulp pH (Table 2). On the other hand, the highest value (18.27 mg 100g−1 of pulp) was found in plants irrigated with water of 2.7 dS m−1 and fertilized with KD equivalent to 80% of the K (EC4KD2). The results for AA followed the same trend as that of soluble solids (Table 2), indicating that the synthesis of AA (vitamin C) is influenced by the contents of sugar present in the fruit pulp. The fruits synthesize AA from hexose sugars, specifically D-glucose or D-galactose [42,43].

    The Pearson correlation matrix (Figure 2) presents the changes in post-harvest production behavior and quality variables.

    Figure 2.  Pearson correlation matrix for the variables analyzed within the electrical conductivity levels of irrigation water and potassium fertilization of the sour passion fruit.

    The equatorial diameter (ED) shows a positive correlation with the PM (0.59), PD (0.76), FFM (0.76), and PV (0.65). Additionally, a strong positive correlation was observed between the FFM and the PM (0.74) as well as PV (0.82). The PM exhibited a strong correlation with the PV of the sour passion fruit irrigated with saline water (0.92). On the other hand, pH displayed a negative correlation with the number of fruits per plant (−0.57), which was also observed in the relationship between AA content and SS (−0.45) as well as pH (−0.32).

    The interaction between the factors (ECw × KD) had a notable impact on all the variables examined in the pulp of sour passion fruit 160 days post-transplantation (Table 3).

    The sour passion fruit exhibited varying levels of titratable acidity (TA) as shown in Figure 3A. The highest estimated values of 5.66%, 4.94%, 5.45%, and 5.91% were recorded when the plants received fertilization with doses of 60%, 80%, 100%, and 120% of the recommended dose of potassium and the irrigation was carried out with ECw of 1.5, 1.8, 1.9, and 0.3 dS m−1, respectively.

    Figure 3.  Titratable acidity-TA (A) and total sugars-TS (B) of fruits of 'BRS Sol do Cerrado' sour passion fruit as a function of the interaction between the electrical conductivity of irrigation water-ECw and potassium doses-KD. ns, **, and * represent, respectively, non-significant, significant at p ≤ 0.01, and significant at p ≤ 0.05 by the F test.

    According to a study [44], the ideal acidity range for consuming fresh passion fruit or its pulp is between 2.5% and 4.6%. Therefore, the maximum values observed in this research exceeded the optimal range recommended for consuming sour passion fruit pulp. On the other hand, as mentioned in [45], high titratable acidity is beneficial for the industrial sector as it reduces the need for adding acidifiers and enhances the nutritional and sensory qualities of the products.

    Pinheiro and collaboladores [46] assessed the postharvest quality of sour passion fruit grown under different irrigation strategies with brackish water. The study evaluated the effects of various irrigation management strategies, including SE-irrigation with water of 1.3 dS m−1 throughout the growth cycle, irrigation with water of 4.0 dS m−1 during specific stages such as the vegetative stage (VE), flowering stage (FL), fruiting stage (FR), and successively in the vegetative/flowering stages (VE/FL), and vegetative/fruiting stages (VE/FR). Additionally, two different potassium doses (KDs) were applied, representing 60% and 100% of the recommendation. The results showed that plants fertilized with 60% of the recommended potassium dose and subjected to high-salinity water during the VE/FL stages exhibited an increase in the titratable acidity of the fruit pulp.

    In terms of total sugars (TS) content (Figure 3B), plants fertilized with KDs of 80% and 100% of the recommended dose obtained the highest estimated values, with 12.70 and 13.69 mg 100g−1 of pulp under ECw of 3.5 and 0.3 dS m−1, respectively. On the other hand, plants fertilized with 120% of the recommended potassium dose showed a linear reduction in total sugar content, with a decrease of 70.56% (2.63 mg 100g−1 of pulp) between the lowest and highest ECw levels. The data related to the fertilization with 60% of the K recommendation were not adequately described by the regression models studied, but the mean value of total sugar content was found to be 10.4 mg 100g−1 of pulp.

    The results obtained in the present assay regarding the 80% K dose are in line with the results observed by [46] who studied the impact of K fertilization (60% and 100% of the recommended K dose) on sour passion fruit under different saline water irrigation strategies. It was reported that plants which received 60% K fertilization and were irrigated with water of 4.0 dS m−1 during the fruiting phase exhibited the highest total sugar levels in the fruits.

    Moreover, a decline in total sugar content was observed with an increase in the ECw when utilizing 100% and 120% of the recommended K dose. This decrease is likely linked to the positive effects of potassium, as the response mechanism to salt stress is greatly influenced by the potassium content within the cells. Potassium is crucial for protein synthesis and sugar transportation in the phloem of plants [47].

    In terms of the SS/TA ratio (Figure 4A), the highest estimated values of 3.34% and 3.66% were recorded in plants that were fertilized with 60% and 80% of the recommended K dose, and irrigated with water measuring 3.5 dS m−1, respectively. Conversely, when plants were fertilized with 100% and 120% of the recommended dose of K, the highest estimated values (2.77% and 2.48%, respectively) were achieved when the plants were cultivated under ECw levels of 0.3 and 2.0 dS m−1, respectively.

    Figure 4.  Ratio between soluble solids content and titratable acidity-SS/TA (A) and pulp yield-PY (B) in fruits of 'BRS Sol do Cerrado' sour passion fruit as a function of the interaction between the electrical conductivity of irrigation water (ECw) and potassium doses (KD). ns, **, and * represent, respectively, non-significant, significant at p ≤ 0.01, and significant at p ≤ 0.05 by the F test.

    The SS/TA ratio is a parameter that determines the sweet-acidic nature and is regarded as a rapid method to assess the flavor of fruits [48]. A decrease in the SS/TA ratio is caused by the decrease in soluble solids content and/or an increase in titratable acidity, resulting from the impact of organic acids [49]. Additionally, various factors like crop growing conditions and fruit maturity stage can significantly affect the SS/TA ratio [50].

    In terms of pulp yield (Figure 4B), the plants that received fertilization with 60, 80,100, and 120% of the recommended K dose achieved maximum estimated values of 58.07, 50.15, 48.60, and 53.78%, respectively under ECw levels of 3.5, 1.8, 2.4, and 1.9 dS m−1. It is worth noting that the relatively low pulp yield observed in this study may be attributed to the fact that, under salt stress conditions, the plant tends to allocate energy towards seed formation to ensure species propagation. Consequently, this leads to a greater accumulation of aril, which is the substance surrounding passion fruit seeds and is the part of greatest economic importance for the species.

    Assessing the production and postharvest quality of sour passion fruit irrigated with saline water (0.6 to 3.0 dS m−1) and subjected to exogenous H2O2 application (0, 15, 30, and 45 μM), [33] noted a positive correlation between PY and ECw. The highest PY value (70.54%) was recorded in plants irrigated with water of 3.0 dS m−1 in the absence of H2O2 application.

    The FFM of the 'BRS Sol do Cerrado' sour passion fruit decreased as the dose of K fertilizer was reduced and the electrical conductivity levels of the irrigation water increased.

    The sour passion fruit exhibited an increase in contents of total soluble solids and ascorbic acid when irrigated with water of an electrical conductivity of 2.7 dS m−1 and fertilized with 60 and 80% of the recommended K dose.

    Irrigation with water having an electrical conductivity of 3.5 dS m−1 and application of 60% of the potassium resulted in an increase in the pulp yield of the sour passion fruit 160 days after transplantation.

    The authors declare that they did not use Artificial Intelligence (AI) tools in the preparation of this article.

    The authors thank the Graduate Program in Agricultural Engineering of the Federal University of Campina Grande, for the support in carrying out this research.

    The authors declare no conflict of interest.

    Conceptual idea: Paiva, F. J. da S.; Lima, G. S. de; Lima, V. L. A. de; Data collection: Paiva, F. J. da S.; Souza, W. B. B. de; Torres, R. A. F.; Fátima, R. T. de; Ferreira, J. T. A.; Data analysis and interpretation: Paiva, F. J. da S.; Lima, G. S. de; Silva, A. A. R. da; Soares, L. A. dos A.; Fátima, R. T. de; Writing and editing: Paiva, F. J. da S.; Lima, G. S. de; Reviewer: Gheyi, H. R.; Pereira, M. de O.; Farias, M. S. S.



    [1] Kirby KJ, Watkins C (1998) Ecological History of European Forests, Oxon UK, New York, CAB International.
    [2] Szabó P (2015) Historical ecology: past, present and future. Biol Rev 90: 997–1014. https://doi.org/10.1111/brv.12141 doi: 10.1111/brv.12141
    [3] Szabó P, Müllerová J, Suchánková S, et al. (2015) Intensive woodland management in the Middle Ages: spatial modelling based on archival data. J Hist Geogr 48: 1–10. https://doi.org/10.1016/j.jhg.2015.01.005 doi: 10.1016/j.jhg.2015.01.005
    [4] Bürgi M, Ö stlund L, Mladenoff DJ (2017) Legacy Effects of Human Land Use: Ecosystems as Time-Lagged Systems. Ecosystems 20: 94–103. https://doi.org/10.1007/s10021-016-0051-6 doi: 10.1007/s10021-016-0051-6
    [5] Allende Álvarez F, Gomez-Mediavilla G, López-Estébanez N (2019) Silvicultures—Management and Conservation, IntechOpen.
    [6] Agnoletti M (2018) Storia del bosco: il paesaggio forestale italiano, Bari, Laterza. Italian.
    [7] Paniagua A (2021) Countryside, landscape and heritage in (new) historical Geography: Some considerations in the current geographical tendencies. AIMS Geosci 7: 291–299. https://doi.org/10.3934/geosci.2021017 doi: 10.3934/geosci.2021017
    [8] Rackham O (1980) Ancient woodland: its history, vegetation and uses in England, London, Arnold.
    [9] Rackham O (2000) Prospects for Landscape History and Historical Ecology. Landscapes 1: 3–17. https://doi.org/10.1179/lan.2000.1.2.3 doi: 10.1179/lan.2000.1.2.3
    [10] Grove AT, Rackham O (2001) The Nature of Mediterranean Europe: an ecological history, New Haven, Yale University Press.
    [11] Rotherham ID, Moody JA (2024) Countryside History. The Life and Legacy of Oliver Rackham, London, Pelagic Publishing.
    [12] Agnoletti M, Rotherham ID (2015) Landscape and biocultural diversity. Biodivers Conserv 24: 3155–3165. https://doi.org/10.1007/s10531-015-1003-8 doi: 10.1007/s10531-015-1003-8
    [13] Szabó P, Hédl R (2011) Advancing the Integration of History and Ecology for Conservation: History, Ecology, and Conservation. Conserv Biol 25: 680–687. https://doi.org/10.1111/j.1523-1739.2011.01710.x doi: 10.1111/j.1523-1739.2011.01710.x
    [14] Eriksson O (2018) What is biological cultural heritage and why should we care about it? An example from Swedish rural landscapes and forests. Nat Conserv 28: 1–32. https://doi.org/10.3897/natureconservation.28.25067 doi: 10.3897/natureconservation.28.25067
    [15] Fischer AP (2018) Forest landscapes as social-ecological systems and implications for management. Landscape Urban Plann 177: 138–147. https://doi.org/10.1016/j.landurbplan.2018.05.001 doi: 10.1016/j.landurbplan.2018.05.001
    [16] Moreno D, Cevasco R, Pescini V, et al. (2019) The Archeology of Woodland Ecology: Reconstructing Past Woodmanship Practices of Wooded Pasture Systems in Italy, In: Allende Álvarez F, Gomez-Mediavilla G, López-Estébanez N, Editors, Silvicultures—Management and Conservation, IntechOpen.
    [17] Cevasco R, Moreno D, Hearn R (2015) Biodiversification as an historical process: an appeal for the application of historical ecology to bio-cultural diversity research. Biodivers Conserv 24: 3167–3183. https://doi.org/10.1007/s10531-015-0943-3 doi: 10.1007/s10531-015-0943-3
    [18] Bürgi M, Gimmi U, Stuber M (2013) Assessing traditional knowledge on forest uses to understand forest ecosystem dynamics. For Ecol Manage 289: 115–122. https://doi.org/10.1016/j.foreco.2012.10.012 doi: 10.1016/j.foreco.2012.10.012
    [19] Bürgi M, Gimmi U (2007) Three objectives of historical ecology: the case of litter collecting in Central European forests. Landscape Ecol 22: 77–87. https://doi.org/10.1007/s10980-007-9128-0 doi: 10.1007/s10980-007-9128-0
    [20] Moreno D, Montanari C (2008) Más allá de la percepción: Hacia una ecología histórica del paisaje rural en Italia. Cuadernos Geográficos 43: 29–49.
    [21] Cevasco R (2010) The environmental heritage of a past cultural landscape: the alderwoods (Alnus incana Moench) in the upper Aveto Valley (NW Apennines), In: Armiero M, Hall M, Editors, Nature and History in Modern Italy, Athens, OH, Ohio University Press, 126–140.
    [22] Gabellieri N (2021) Il patrimonio bio-culturale alpino: un approccio geografico-storico al pascolo alberato di larici in Trentino (XVⅢ-XXI sec.). Rivista Geografica Italiana 128: 82–104. Italian. https://doi.org/10.3280/rgioa3-2021oa12533
    [23] Persic A, Martin G (2008) Links between biological and cultural diversity: report of the International Workshop. International Workshop on Links between Biological and Cultural Diversity: Concepts, Methods and Experiences, Paris, 2007 organized by UNESCO.
    [24] UNESCO-SCBD (2014) Florence Declaration on the Links Between Biological and Cultural Diversity. Available from: https://www.cbd.int/portals/culturaldiversity/docs/21040410-declaration-florence-en.pdf.
    [25] Bhati HV, Epstein Y (2023) Protection of Biocultural Heritage in the Anthropocene: Towards Reconciling Natural, Cultural, Tangible and Intangible Heritage. J Environ Law 35: 353–375
    [26] Virtanen PK (2019) Ancestors' times and protection of Amazonian Indigenous biocultural heritage. AlterN Int J Indigenous Peoples 15: 330–339. https://doi.org/10.1177/1177180119893132 doi: 10.1177/1177180119893132
    [27] Rotherham ID (2015) Bio-cultural heritage and biodiversity: emerging paradigms in conservation and planning. Biodivers Conserv 24: 3405–3429. https://doi.org/10.1007/s10531-015-1006-5 doi: 10.1007/s10531-015-1006-5
    [28] Zacharová J, Riezner J, Elznicová J, et al. (2022) Historical Agricultural Landforms—Central European Bio-Cultural Heritage Worthy of Attention. Land 11: 963. https://doi.org/10.3390/land11070963 doi: 10.3390/land11070963
    [29] Pathak A (2002) Law, Strategies, Ideologies: Legislating Forests in Colonial India. Oxford University Press.
    [30] Kotilainen J, Rytteri T (2011) Transformation of forest policy regimes in Finland since the 19th century. J Hist Geogr 37: 429–439. https://doi.org/10.1016/j.jhg.2011.04.003 doi: 10.1016/j.jhg.2011.04.003
    [31] Barrera De La Torre G, De La Torre Villalpando G (2022) Guarding the colonial woodlands: A genealogy of forest conservation discourses in late Bourbon's period in new Spain (Mexico). J Hist Geogr 78: 105–114. https://doi.org/10.1016/j.jhg.2022.06.002 doi: 10.1016/j.jhg.2022.06.002
    [32] Scott JC (1998) Seeing Like a State: How Certain Schemes to Improve the Human Condition Have Failed. New Haven, Yale University Press.
    [33] Moreno D (1990) Dal documento al terreno: storia e archeologia dei sistemi agro-silvo-pastorali. Bologna, Il Mulino. Italian.
    [34] Sansa R (2000) Il mercato e la legge: la legislazione forestale italiana nei secoli XVⅢ e XIX, In: Bevilacqua P, Corona G, Editors, Ambiente e risorse nel Mezzogiorno contemporaneo, Corigliano Calabro, Meridiana libri, 2–26. Italian.
    [35] Agnoletti M (2006) Man, forestry, and forest landscapes. Trends and perspectives in the evolution of forestry and woodland history research. Schweiz Z Forstwes 157: 384–392. https://doi.org/10.3188/szf.2006.0384 doi: 10.3188/szf.2006.0384
    [36] Hölzl R (2010) Historicizing Sustainability: German Scientific Forestry in the Eighteenth and Nineteenth Centuries. Sci Cult-UK 19: 431–460. https://doi.org/10.1080/09505431.2010.519866 doi: 10.1080/09505431.2010.519866
    [37] Watkins C (1984) The use of Forestry Commission censuses for the study of woodland change. J Hist Geogr 10: 396–406. https://doi.org/10.1016/0305-7488(84)90071-9 doi: 10.1016/0305-7488(84)90071-9
    [38] Beglane F (2018) Forests and chases in medieval Ireland, 1169-c.1399. J Hist Geogr 59: 90–99. https://doi.org/10.1016/j.jhg.2017.11.002 doi: 10.1016/j.jhg.2017.11.002
    [39] Bergès L, Dupouey J (2021) Historical ecology and ancient forests: Progress, conservation issues and scientific prospects, with some examples from the French case. J Veg Sci 32: 1–17. https://doi.org/10.1111/jvs.12846 doi: 10.1111/jvs.12846
    [40] Cillis G, Statuto D, Picuno P (2021) Historical GIS as a Tool for Monitoring, Preserving and Planning Forest Landscape: A Case Study in a Mediterranean Region. Land 10: 851. https://doi.org/10.3390/land10080851 doi: 10.3390/land10080851
    [41] Dai Prà E, Gabellieri N (2021) Geostoria applicata del bosco e fonti cartografiche geodetiche e pre-geodetiche: casi studio di foreste trentine colpite dalla tempesta Vaia. Bollettino dell'Associazione Italiana di Cartografia 173: 16–30. https://doi.org/10.13137/2282-572X/33625 doi: 10.13137/2282-572X/33625
    [42] Bonan G (2016) The communities and the comuni: The implementation of administrative reforms in the Fiemme Valley (Trentino, Italy) during the first half of the 19th century. Int J Commons 10: 589. https://doi.org/10.18352/ijc.741 doi: 10.18352/ijc.741
    [43] Ministero dell'Ambiente e della Sicurezza Energetica (IT) Geoportale Nazionale, Digital Terrain Model. Available from: https://gn.mase.gov.it/portale/wcs.
    [44] Pettenella DM (1998) L'ecocertificazione della Magnifica Comunità di Fiemme. Sherwood Foreste ed alberi oggi 4: 43–48. Italian.
    [45] Gabellieri N (2019) Il paesaggio scomparso della gelsicoltura in Vallagarina: un approccio geografico-storico a fonti integrate. Geostorie 27: 57–78. Italian.
    [46] Mariani MA (1673) Trento con il Sacro Concilio et altri notabili. Aggiunte varie cose miscellanee universali. Descrittion' historica libri tre, di D. Michel' Angelo Mariani. Con un ristretto del Trentin Vescovato, l'indice delle cose notabili e le figure in rame, Augusta, L'Ariete.
    [47] Franceschini I (2016) Le paludi dell'Adige. Diritti di sfruttamento e tentativi di bonifica tra XⅢ e XV secolo, In: Rovigo V, Editor, Il fiume, le terre, l'immaginario. L'Adige come fenomeno storiografico complesso, Rovereto, Accademia Roveretana degli Agiati, Edizioini Osiride, 251–272. Italian.
    [48] Nequirito M (2010) La montagna condivisa: l'utilizzo collettivo dei boschi e dei pascoli in Trentino dalle riforme settecentesche al primo Novecento. Milano, Giuffrè. Italian.
    [49] Martellozzo N (2021) Condividere il bosco. Un confronto tra regimi del patrimonio in Val di Fiemme. EtnoAntropologia 8: 33–50. Italian.
    [50] Nequirito M (2015) Le 'Regole' nel Trentino dall'Antico Regime alla realtà contemporanea, Predazzo, Regola Feudale di Predazzo. Italian.
    [51] Azzari M, Berti C, Dolfi L (2023) Usi del suolo e superfici boscate: dinamiche in Val di Fiemme, In: Banini T, Editor, MAESTRI (Museo virtuaAlE dei Saperi e delle Tecniche popolaRI). Il progetto-pilota sui boschi della Magnifica Comunità di Fiemme, Roma, Società geografica italiana, 121–160. Italian.
    [52] Piussi P (1965) Alcune osservazioni ed esperienze sulla rinnovazione naturale della Picea nella foresta di Paneveggio (Trento). Annali Accademia Italiana di Scienze Forestali 14: 345–400. Italian.
    [53] Piussi P (1977) Problemi di Ecologia Nei Boschi di Picea Delle Alpi: Il Punto di Vista di un Forestale. Bolletino di zoologia 44: 87–96. Italian. https://doi.org/10.1080/11250007709430156
    [54] Berretti R, Lingua E, Motta R, et al. (2004) Classificazione strutturale dei popolamenti forestali nella Riserva forestale integrale della Valbona a Paneveggio (TN). Ital For Mont 59: 99–118. Italian.
    [55] Dellagiacoma F, Motta R, Piussi P (1996) Ricerche sull'ecologia della pecceta subalpina nella foresta di Paneveggio (TN). Dendronatura 17: 77–86. Italian.
    [56] Motta R, Nola P, Piussi P (2002) Long‐term investigations in a strict forest reserve in the eastern Italian Alps: spatio‐temporal origin and development in two multi‐layered subalpine stands. J Ecol 90: 495–507. https://doi.org/10.1046/j.1365-2745.2002.00685.x doi: 10.1046/j.1365-2745.2002.00685.x
    [57] Tattoni C, Ciolli M, Ferretti F, et al. (2010) Monitoring spatial and temporal pattern of Paneveggio forest (northern Italy) from 1859 to 2006. IFOREST 3: 72–80. https://doi.org/10.3832/ifor0530-003 doi: 10.3832/ifor0530-003
    [58] Agnoletti M (1998) Segherie e foreste nel Trentino: dal Medioevo ai nostri giorni, Museo di San Michele All'Adige. Italian.
    [59] Regole della Val di Fiemme (Regole of Val di Fiemme) (1788 1787) Located at: ASPT, Trento, IT; Amministrazioni delle foreste di Fiemme, Fassa e Primiero, Carteggio ed atti, sc. 11–13, f. 15.1.12. Italian.
    [60] Atti della Commissione (Commission Proceedings) (1789 1787) Located at: ASPT, Trento, IT; Amministrazioni delle foreste di Fiemme, Fassa e Primiero, Carteggio ed atti, sc. 34–38, f. 1.3.34. Italian.
    [61] Atti dell'indagine della commissione sullo stato dei boschi)Proceedings of the investigation of the commitee on the state of the forest) (1789 1787) Located at: AMCF, Cavalese, IT; Cavalese, Miscellanea, sc. 68, f. 369. Italian.
    [62] Regole e diritti della Val di Fiemme (Regole and rights of Val di Fiemme) (1799 1788) Located at: ASPT, Trento, IT; Amministrazioni delle foreste di Fiemme, Fassa e Primiero, Carteggio ed atti, sc. 11–13, f. 15.1.13. Italian.
    [63] Bellabarba M (2010) I giudici trentino-tirolesi della Restaurazione: prime ricerche, In: Bellabarba M, Forster E, Heiss H, et al., editors, Eliten in Tirol zwischen Ancien Régime und Vormärz: le élites in Tirolo tra Antico Regime e Vormärz, Innsbruck, Wien, Bolzano, Studien Verlag, 351–366.
    [64] Piano e Regolamento (Plan and regulamentation) Located at: ASPT, Trento, IT; f. 1.3.34. Italian.
    [65] Cavalesi Coram Commissione Austriaco-Tridentina (Cavalesi Coram Austrian-Tridentine Commission) (15 August 1787) Located at: ASPT, Trento, IT; sc. 11–13, f. 15.1.12. Italian.
    [66] QGIS. Available from: http://test.qgis.org/html/en/site/index.html.
    [67] Provincia di Trento, Portale Geocartografico Trentino (Trentino Geocartographic Portal), Carta Tecnica Provinciale (Provincial Technical Map), 2020. Available from: http://www.territorio.provincia.tn.it/portal/server.pt/community/carta_tecnica_provinciale/920/carta_tecnica_provinciale/40052.
    [68] Mappa dei territori delle Regole, (Map of the territories of the Regole) Located at: AMCF, Cavalese, IT; Fondo cartografico, Miscellanea, b. 11. Italian.
    [69] Mappa della Magnifica Comunità, (Map of the Magnifica Comunità) Located at: AMCF, Cavalese, IT; Fondo cartografico, Miscellanea, b. 3. Italian.
    [70] Gregory IN, Kemp KK, Mostern R (2001) Geographical Information and historical research: Current progress and future directions. Hist Comput 13: 7–23. https://doi.org/10.3366/hac.2001.13.1.7 doi: 10.3366/hac.2001.13.1.7
    [71] Taylor JE, Donaldson C, Gregory IN, et al. (2018) Mapping Digitally, Mapping Deep: Exploring Digital Literary Geographies. Lit Geographies 4: 10–19.
    [72] Provincia di Trento—Servizio Foreste (IT), Geocatalogo della Provincia Autonoma di Trento (Geocatalogue of the Autonomous Province of Trento), Carta dei tipi forestali reali (Map of real forest types), 2017. Available from: https://siat.provincia.tn.it/geonetwork/srv/ita/catalog.search#/home.
    [73] Istituto Nazionale di Statistica (ISTAT), Confini delle unità amministrative, 2024. Available from: https://www.istat.it/notizia/confini-delle-unita-amministrative-a-fini-statistici-al-1-gennaio-2018-2/.
    [74] Visita[Survey] (26 August 1787) Located at: ASPT, Trento, IT; sc. 11–13, f. 15.1.12. Italian.
    [75] Visita[Survey] (9 June 1788) Located at: ASPT, Trento, IT; sc. 11–13, f. 15.1.12. Italian.
    [76] Visita[Survey] (13 May 1788) Located at: ASPT, Trento, IT; sc. 11–13, f. 15.1.12. Italian.
    [77] Visita[Survey] (16 September 1787) Located at: ASPT, Trento, IT; sc. 11–13, f. 15.1.12. Italian.
    [78] Panecki T, Związek T (2016) The so-called Dutch Colonization in 18 th c. Greater Poland: Research Project on AtlasFontium.pl WebGIS Platform, Riga 2016 Conference Proceedings, Thessaloniki, CartoGeoLab.
    [79] Garbarino M, Weisberg PJ, Motta R (2009) Interacting effects of physical environment and anthropogenic disturbances on the structure of European larch (Larix decidua Mill.) forests. For Ecol Manage 257: 1794–1802. https://doi.org/10.1016/j.foreco.2008.12.031 doi: 10.1016/j.foreco.2008.12.031
    [80] Garbarino M, Lingua E, Martinez Subirà M, et al. (2011) The larch wood pasture: structure and dynamics of a cultural landscape. Eur J Forest Res 130: 491–502. https://doi.org/10.1007/s10342-010-0437-5 doi: 10.1007/s10342-010-0437-5
  • Reader Comments
  • © 2024 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(1253) PDF downloads(66) Cited by(1)

Figures and Tables

Figures(7)

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog