Agriculture in Hilly and Mountainous Landscapes: Threats, Monitoring and Sustainable Management

Tarolli, Paolo; Straffelini, Eugenio

doi:10.1016/j.geosus.2020.03.003

Cited by 63 publications

(32 citation statements)

References 48 publications

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“…However, this relationship does not always see an equilibrium, affecting many agricultural terraces worldwide (Tarolli et al 2014). Land abandonment, mismanagement and inadequate maintenance are one of the most common problems that can turn into hydrogeological dysfunctions and soil erosion overall (Pijl et al 2019;Tarolli and Straffelini 2020). Landslides are quite common phenomena affecting agricultural heritage terraces causing severe damages: from the Machu Picchu archaeological site in Peru (Sassa et al 2003;Klimeš 2013), the Cinque Terre in Italy (Agnoletti et al 2019;Brandolini et al 2018) and the Slovakian and Greek landscapes (Canuti et al 2009).…”

Section: Introductionmentioning

confidence: 99%

Farmers’ landslide risk perceptions and willingness for restoration and conservation of world heritage site of Honghe Hani Rice Terraces, China

et al. 2020

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The Honghe Hani Rice Terraces (China) is an ancient world heritage agricultural landscape that has been evolved in centuries as a result of farmers' indigenous practices and knowledge. The area, however, is prone to landslides that can burden the conservation of these landscapes including their social, cultural, economic and aesthetic value. In June 2018, a landslide threatened the villages of Duosha and Mengpin affecting 138 inhabitants and the terraces structure. This event marked the need to understand how farmers coexist with these natural hazards and which are the behaviours people adopt to conserve their environment and safeguard their livelihood. Results from 125 in-person interviews showed that farmers feel threaten by landslide events derived by their personal experience, but their poor perceived preparedness and the inefficient disaster information make them more vulnerable to those events. Nevertheless, they demonstrated a desire to increase their knowledge on terraces restoration and conservation practices. This is an important signal for public authorities and practitioners that need to underpin training activities and create momentum for discussion. The demonstrated high trust in authorities' decisions is a crucial element to pursue the objective and sustain the conservation of the terraces and the tourism economy.

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Section: Introductionmentioning

confidence: 99%

Farmers’ landslide risk perceptions and willingness for restoration and conservation of world heritage site of Honghe Hani Rice Terraces, China

et al. 2020

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“…More and more studies on assessing landscapes by the utilization of remote sensing images and GIS have approached quantitative orientations, descriptions, and intuitive comparisons of researched space through various map systems. Specifically, the remarkable studies that have implemented remote sensing and GIS employment in analyzing mountainous landscapes can be reckoned as a study on assessing soil erosion in karst sites through the Enhanced Thematic Mapper (ETM) sensor of the Landsat 7 satellite and ArcGIS [27][28][29]; a study on the classification and supervision of mountainous landscapes through satellite images and digital elevation models (DEMs) [30,31]; the integration of remote sensing, GIS, and rainfall data in analyzing erosion indexes in accordance with regional landscapes [32]; and a study on the alteration of vegetation in mountainous landscapes using sensing remote technologies [33][34][35]. It is evident that GIS technology allows the simulation of researched results and the clear expression of landscape indexes with an intuitive display.…”

Section: Introductionmentioning

confidence: 99%

Constructing a spatial analysis model in assessing the sensitivity of landscape erosion in mountainous regions of Vietnam

Kieu¹,

Huong

Van³

2020

SN Appl. Sci.

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This study demonstrates the steps of building a spatial analysis model that is applicable in synthetically assessing the sensitivity of landscape erosion in mountainous regions. Field testing was carried out at Ngu Chi Son commune, Sa Pa district, Lao Cai Province, Vietnam. The primary basis is the application of the GIS spatial analysis model in mapping the landscape structure. Subsequently, depending on the landscape structure map, the analysis model of erosion levels due to erosion factors (rainfall, terrain, the thickness of soil layers, mechanical compositions, vegetation cover, and cultivation measures of human beings) was constructed. The employed algorithms included spatial overlay, spatial interpolation, attribute reclassification, and average indexes. The results of this study have indicated the erosion sensitivity of every landscape unit, which is categorized into five levels: very low, low, medium, high, and very high. Obtained appraisals and sensitivity categorization are important fundaments to issue exploitation orientations and reasonable usages of resources within the researched region. This proves to be a new direction of research with overall potentials in assessing mountainous landscapes.

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“…Indeed, an increasing occurrence of slope failure (e.g., landslide, debris flow, and dry-stone wall collapse) has been documented, with direct consequences for people when these processes are triggered in densely populated areas [26]. Observing the evolution of agricultural landscapes cultivated in hilly and mountainous areas, often with terracing practiced, through HRT gives us important information on how to protect these sensitive environments [25,27,28]. HRT can provide suitable information through the extraction of 3D models, profiles, sections, scaled plans, and orthomosaics, simplifying and speeding-up the field geomorphological analysis [29].…”

Section: Introductionmentioning

confidence: 99%

Multiplatform-SfM and TLS Data Fusion for Monitoring Agricultural Terraces in Complex Topographic and Landcover Conditions

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Agricultural terraced landscapes, which are important historical heritage sites (e.g., UNESCO or Globally Important Agricultural Heritage Systems (GIAHS) sites) are under threat from increased soil degradation due to climate change and land abandonment. Remote sensing can assist in the assessment and monitoring of such cultural ecosystem services. However, due to the limitations imposed by rugged topography and the occurrence of vegetation, the application of a single high-resolution topography (HRT) technique is challenging in these particular agricultural environments. Therefore, data fusion of HRT techniques (terrestrial laser scanning (TLS) and aerial/terrestrial structure from motion (SfM)) was tested for the first time in this context (terraces), to the best of our knowledge, to overcome specific detection problems such as the complex topographic and landcover conditions of the terrace systems. SfM–TLS data fusion methodology was trialed in order to produce very high-resolution digital terrain models (DTMs) of two agricultural terrace areas, both characterized by the presence of vegetation that covers parts of the subvertical surfaces, complex morphology, and inaccessible areas. In the unreachable areas, it was necessary to find effective solutions to carry out HRT surveys; therefore, we tested the direct georeferencing (DG) method, exploiting onboard multifrequency GNSS receivers for unmanned aerial vehicles (UAVs) and postprocessing kinematic (PPK) data. The results showed that the fusion of data based on different methods and acquisition platforms is required to obtain accurate DTMs that reflect the real surface roughness of terrace systems without gaps in data. Moreover, in inaccessible or hazardous terrains, a combination of direct and indirect georeferencing was a useful solution to reduce the substantial inconvenience and cost of ground control point (GCP) placement. We show that in order to obtain a precise data fusion in these complex conditions, it is essential to utilize a complete and specific workflow. This workflow must incorporate all data merging issues and landcover condition problems, encompassing the survey planning step, the coregistration process, and the error analysis of the outputs. The high-resolution DTMs realized can provide a starting point for land degradation process assessment of these agriculture environments and supplies useful information to stakeholders for better management and protection of such important heritage landscapes.

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Agriculture in Hilly and Mountainous Landscapes: Threats, Monitoring and Sustainable Management

Cited by 63 publications

References 48 publications

Farmers’ landslide risk perceptions and willingness for restoration and conservation of world heritage site of Honghe Hani Rice Terraces, China

Farmers’ landslide risk perceptions and willingness for restoration and conservation of world heritage site of Honghe Hani Rice Terraces, China

Constructing a spatial analysis model in assessing the sensitivity of landscape erosion in mountainous regions of Vietnam

Multiplatform-SfM and TLS Data Fusion for Monitoring Agricultural Terraces in Complex Topographic and Landcover Conditions

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