Progressive fragmentation of a traditional Mediterranean landscape by hazelnut plantations: The impact of CAP over time in the Langhe region (NW Italy)

Godone, Danilo Francesco; Garbarino, Matteo; Sibona, Emanuele; Garnero, Gabriele; Godone, Franco

doi:10.1016/j.landusepol.2013.08.018

Cited by 31 publications

(16 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In anthropogenic ecoregions like the Mediterranean basin, LULCC are of extreme interest because they can affect the conservation of "cultural landscapes" [14,15]. In Italy for example, the literature on LULCC has increased in the last three decades.…”

Section: Introductionmentioning

confidence: 99%

70 Years of Land Use/Land Cover Changes in the Apennines (Italy): A Meta-Analysis

Malandra

Vitali

Urbinati

et al. 2018

Forests

Self Cite

View full text Add to dashboard Cite

Land use science usually adopts a case study approach to investigate landscape change processes, so we considered a meta-analysis an appropriate tool for summarizing general patterns and heterogeneous findings across multiple case studies over a large geographic area. Mountain landscapes in the Apennines (Italy) have undergone significant variations in the last century due to regional and national socio-economic changes. In this work, we reviewed 51 manuscripts from different databases and examined 57 case studies. We explored heterogeneous data sets, adopting a stepwise approach to select the case studies: Step 1, a general overview of the main studies; Step 2, an analysis of the features of the study sites and of land-use/cover transitions; Step 3, a landscape pattern analysis. We standardized the processing methods to obtain a new set of homogeneous data suitable for comparative analysis. After some pre-processing of the selected paper due to the broad heterogeneity of the data, we calculated common landscape metrics ex novo. We obtained digital images used to perform automatic segmentation with eCognition Developer 64 software. Our review indicated that most case studies were in Central and Southern Italy, 83% were examined at local scale, 77% carried out change detection, but only 38% included both change detection and landscape spatial pattern analysis. The results revealed a clear trend of forest expansion (+78%) and the reduction of croplands (−49%) and grasslands (−19%). We did not find significant changes in the landscape spatial patterns.

show abstract

Section: Introductionmentioning

confidence: 99%

70 Years of Land Use/Land Cover Changes in the Apennines (Italy): A Meta-Analysis

Malandra

Vitali

Urbinati

et al. 2018

Forests

Self Cite

View full text Add to dashboard Cite

show abstract

“…This rapid expansion is radically transforming the rural landscape of a few Italian districts in Piedmont [23] and Lazio. The GEE procedure which we developed has the potential to detect land use change to new orchard plantations, needed to support policy makers in evaluating rural policies for valuable crops (e.g., the EU's Common Agricultural Policy) and their effects on landscape, production, and society [29].…”

Section: Discussionmentioning

confidence: 99%

Towards a Tool for Early Detection and Estimation of Forest Cuttings by Remotely Sensed Data

Puletti

Bascietto²

2019

Land

View full text Add to dashboard Cite

Knowing the extent and frequency of forest cuttings over large areas is crucial for forest inventories and monitoring. Remote sensing has amply proved its ability to detect land cover changes, particularly in forested areas. Among various strategies, those focusing on mapping using classification approaches of remotely sensed time series are the most frequently used. The main limit of such approaches stems from the difficulty in perfectly and unambiguously classifying each pixel, especially over wide areas. The same procedure is of course simpler if performed over a single pixel. An automated method for identifying forest cuttings over a predefined network of sampling points (IUTI) using multitemporal Sentinel 2 imagery is described. The method employs normalized difference vegetation index (NDVI) growth trajectories to identify the presence of disturbances caused by forest cuttings using a large set of points (i.e., 1580 "forest" points). We applied the method using a total of 51 S2 images extracted from the Google Earth Engine over two years (2016 and 2017) in an area of about 70 km 2 in Tuscany, central Italy. Author Contributions: Conceptualization and Methodology N.P.; Formal Analysis N.P. and M.B.; Writing-Original Draft Preparation, Review and Editing, N.P. and M.B. Funding: This research received no external funding. Conflicts of Interest:The authors declare no conflicts of interest.

show abstract

“…The availability of aerial and satellite imagery in recent years and the development and free distribution of powerful GIS software made easier to perform remote sensing inquires over a specific territory (Rocchini et al, 2012) (Tattoni et al, 2010) (Neteler , Mitasova, 2008). Techniques such as image classification are a consolidated method for studying multi-temporal forest evolution (Gaitanis et al, 2015) (Godone et al, 2014) (Gautam et al, 2004).…”

Section: Methodsmentioning

confidence: 99%

Fine Spatial Scale Modelling of Trentino Past Forest Landscape (Trentinoland): A Case Study of Foss Application

Gobbi

Cantiani

Rocchini

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

Abstract. Trentino is an Italian alpine region (about 6200&thinsp;km2) with a forest coverage exceeding 60% of its whole surface. In the past, forest landscape has changed dramatically, especially in periods of forest over-exploitation.Previous studies in some Trentino sub-regions (Val di Fassa, Paneveggio) have identified these changes and the current trend of forest growth at the expenses of open areas, such as pastures and grasslands, due to the abandonment of rural areas. This phenomenon leads to the rapid Alpine landscape change and profoundly affects the ecological features of mountain ecosystems. To be able to monitor and to take future actions about this trend it is fundamental to know in detail the historical situation of the progressive changes on the land use that occurred over Trentino.The work aims to comprehensively reconstruct the forest cover of whole Trentino at high resolution (5&thinsp;m&thinsp;&times;&thinsp;5&thinsp;m pixels) using a series of maps spanning a long period, consisting in historical maps, aerial images, remote sensed information and historical archives. The datasets were archived, processed and analyzed using the Free and Open Source Software (FOSS) GIS GRASS and QGIS. Historical maps include Atlas Tyrolensis (dated 1770), Theresianischer Kataster (dated 1859) and Italian Kingdom Forest Map (IKFM) of 1936. The aerial imagery dataset includes aerial images taken in 1954, which have been orthorectified during this research, and orthophotos available for years 1973, 1994, 2000, 2006, 2010 and 2016. Remote sensed information includes Landsat and recent Lidar data, while historical archives consist mostly in Forest Management Plans available since around 1950.The versatility of the wide variety of modules supplied from the FOSS GRASS and QGIS enabled to perform a diverse set of analysis and pre-processing (e.g.:orthorectification) on a heterogeneous dataset of input images. We will focus on the different strategies and methodologies implemented in the FOSS GIS used to process the various types of geographic data, challenges for the future of the research and the fundamental role of the FOSS systems in this process.Quantifying forest change in the time-span of our dataset can be used to perform further analysis on ecosystem services, such as protection from soil erosion, and on modification of biome diversity and to create future change scenarios.

show abstract

Progressive fragmentation of a traditional Mediterranean landscape by hazelnut plantations: The impact of CAP over time in the Langhe region (NW Italy)

Cited by 31 publications

References 50 publications

70 Years of Land Use/Land Cover Changes in the Apennines (Italy): A Meta-Analysis

70 Years of Land Use/Land Cover Changes in the Apennines (Italy): A Meta-Analysis

Towards a Tool for Early Detection and Estimation of Forest Cuttings by Remotely Sensed Data

Fine Spatial Scale Modelling of Trentino Past Forest Landscape (Trentinoland): A Case Study of Foss Application

Contact Info

Product

Resources

About