The role of biodiversity data in High Nature Value Farmland areas identification process: A case study in Mediterranean agrosystems

被引:12
|
作者
Campedelli, Tommaso [1 ,2 ]
Calvi, Gianpiero [1 ,3 ]
Rossi, Patrizia [4 ]
Trisorio, Antonella [5 ]
Florenzano, Guido Tellini [1 ,2 ]
机构
[1] Italian Common Birds Monitoring Program, Rome, Italy
[2] DREAM Italia, Via Garibaldi 3, I-52015 Pratovecchio Stia, AR, Italy
[3] Studio Pteryx, Via Risorgimento 9, I-20060 Basiano, MI, Italy
[4] BirdLife Italia, LIPU, Via Udine 3-A, I-43122 Parma, PR, Italy
[5] CREA, Res Ctr Agr Policies & Bioecon, Via Po 14, I-00198 Rome, Italy
关键词
High nature value farming; Farmland birds; Species richness; Italian common birds monitoring program; Spatial distribution models; Mediterranean steppes; Italian rural network; PROTECTED AREAS; SPATIAL AUTOCORRELATION; SPECIES-RICHNESS; LANDSCAPE STRUCTURE; MODEL SELECTION; GAP ANALYSIS; CONSERVATION; BIRDS; FRAMEWORK; HETEROGENEITY;
D O I
10.1016/j.jnc.2018.09.002
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
The concept of High Nature Value Farmland (HNVF) was introduced in the early 1990s to highlight the crucial role of low intensity farming systems for the conservation of biodiversity in Europe. HNVF is a biodiversity indicator and the maintenance or the enhancement of HNVF is a goal of the EU's rural development policy. Several different approaches currently exist for identifying such areas, and a number of studies have shown that outcomes have often been unsatisfactory, at least as concerns biodiversity conservation. In this study, we use birds as indicators to assess the correlation between HNVF types identified according to the land cover approach and farmland areas important for biodiversity in Apulia, a southern Italian region that is among the most important in the Mediterranean area for farmland biodiversity. Our results suggest that unless the current land cover approach - which is mainly based on criteria relating to vegetation types and landscape structure - is accompanied by an objective analysis of local biodiversity levels, it risks excluding from HNVF some of the most important areas for biodiversity, thus reducing indicator effectiveness because of the lack of a proper assessment of HNVF extent and quality. Thus, our study shows a possible method to better identify HNVF type 3, thus increasing the effectiveness of the HNVF indicator.
引用
收藏
页码:66 / 78
页数:13
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