RPG Explorer: A new tool to ease the analysis of agricultural landscape dynamics with the Land Parcel Identification System

被引:34
作者
Levavasseur, F. [1 ,2 ]
Martin, P. [1 ]
Bouty, C. [1 ]
Barbottin, A. [1 ]
Bretagnolle, V. [3 ,4 ]
Therond, O. [5 ,6 ]
Scheurer, O. [7 ]
Piskiewicz, N. [8 ]
机构
[1] Univ Paris Saclay, UMR SADAPT, INRA, AgroParisTech, F-78850 Thiverval Grignon, France
[2] Univ Paris Saclay, UMR ECOSYS, INRA, AgroParisTech, F-78850 Thiverval Grignon, France
[3] Univ Rochelle, UMR CNRS 7372, CEBC, F-79360 Beauvoir Sur Niort, France
[4] CNRS, Ctr Etud Biol Chize, LTER Zone Atelier Plaine & Val Sevre, F-79360 Villiers En Bois, France
[5] INPT, INRA, UMR AGIR, F-31326 Castanet Tolosan, France
[6] Univ Lorraine, UMR LAE, INRA, F-68000 Colmar, France
[7] Inst Polytech Lasalle Beauvais, F-60000 Beauvais, France
[8] Soc Nicolas Piskiewicz, F-14000 Caen, France
关键词
Land Parcel Identification System; Agricultural landscape; GIS; Rotation; Farm cropping area; Crop proportions; REGIONAL-SCALE; SPATIAL DATA; ARABLE LAND; PROTECTION; FRANCE; MODEL; POPULATIONS; RESOLUTION; GRASSLAND; PATTERNS;
D O I
10.1016/j.compag.2016.07.015
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
In the early 2000s a Land Parcel Identification System (LPIS) was set up by each member state of the European Union, to manage agricultural subsidies. These databases describe field geometry and land cover, and provide information on farm characteristics. LPIS data could therefore be used to describe agricultural landscape dynamics, but are seldom put to this purpose by scientists and local stakeholders because it requires the use of GIS software and programming skills. The objective of this paper is thus to present RPG Explorer, a new tool that we developed to analyze agricultural landscape dynamics with LPIS data. RPG Explorer doesn't require any specific skills in GIS and programming allowing non specialist to deal with complex data. RPG Explorer includes a first module which computes the changes in crop proportions and farm characteristics (numbers of farm, farm area, farm type). A second module computes crop sequences on each farmer block of LPIS data. We also included a crop rotation model in a third module. We illustrated the use of RPG Explorer for two example neighboring catchments located in western France, the Vivier catchment (16,000 ha) and the Courance catchment (15,000 ha). For example, RPG Explorer easily revealed the evolution of crop proportions, such as the increase of temporary grasslands in the Courance catchment (from 7.2% of the Utilized Agricultural Area (UAA) in 2007 to 11.7% in 2013). The number of farms was also shown to vary a lot: from 230 in 2007 to 207 in 2013 for the Vivier catchment, with a subsequent increase of their mean UAA (from 101 ha to 119 ha). RPG Explorer also showed that more than half of the Vivier catchment UAA (59%) was occupied by only 50 farms in 2013. Concerning crop sequences, the sunflower winter wheat sequence was the most frequent 2-year sequence in both catchments, but some differences appeared with for example, a higher proportion of winter wheat winter wheat sequence in the Courance catchment (7.2% against 3.6%). Crop rotation modeling indicated that the rapeseed -> winter wheat sunflower -> winter wheat -> sunflower -> winter wheat and maize monoculture were the three main crop rotations. Finally, these examples illustrate well the ability for scientist and local stakeholders to easily describe some major agricultural landscape dynamics with RPG Explorer. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:541 / 552
页数:12
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