| Literature DB >> 34043157 |
Martin Hvarregaard Thorsøe1, Mikael Skou Andersen2, Mark V Brady3, Morten Graversgaard1, Emils Kilis4, Anders Branth Pedersen5, Samuli Pitzén6, Helena Valve6.
Abstract
Following decades of international collaboration to restore the Baltic Sea, we provide an assessment of the domestic implementation of measures agreed to limit diffuse agricultural pollution and the patterns of policy instruments applied. Despite the Helsinki Convention being unusually specific in detailing what measures countries should introduce, we find many shortcomings. These are most pronounced in the larger countries (Poland, Germany and Russia), while smaller countries perform better, notably Sweden and Estonia. The patterns of policy instruments applied differ, influenced by domestic politics. The limited use of complementary policy instruments suggests that other priorities overrule full and effective implementation, with engagement mirroring the advantages that a restored Baltic Sea can bring to countries. Using the European Agricultural Fund for Rural Development to support farmers in managing nutrients, particularly advisory services and investments in modern manure management technologies, represents a significant opportunity for reducing agricultural pollution in most countries.Entities:
Keywords: Agri-environment; CAP; HELCOM; Marine policy; Policy instrument; Rural development
Mesh:
Year: 2021 PMID: 34043157 PMCID: PMC8651915 DOI: 10.1007/s13280-021-01549-3
Source DB: PubMed Journal: Ambio ISSN: 0044-7447 Impact factor: 5.129
Fig. 1Algal blooms. Eutrophication situation on 16 July 2018 in the Finnish coastal waters of the Baltic Sea.
Source ESA Copernicus Sentinel Data
Measures for nutrient management
Policy instruments for nutrient management
Average annual nutrient surplus per unit of farmland
| 1997–2003 (kg N/ha) | 2015–2017 (kg N/ha) | Change (kg N/ha) | Change (%) | 1997–2003 (kg P/ha) | 2015–2017 (kg P/ha) | Change (kg P/ha) | Change (%) | |
|---|---|---|---|---|---|---|---|---|
| DK | 127 | ¤80 | − 47 | − 37 | 13.1 | ¤7.0 | − 6.1 | − 47 |
| DEa | 103 | 70 | − 33 | − 32 | 3.1 | − 3.3 | − 6.5 | − 206 |
| EE | ¤36 | ¤22 | − 14 | − 39 | − 5.0 | ¤− 7.0 | − 2.0 | − 40 |
| FI | 61 | 49 | − 12 | − 20 | 9.3 | 4.7 | − 4.6 | − 50 |
| LV | 14 | 25 | + 11 | + 80 | 0.4 | 1.3 | + 0.9 | + 211 |
| LT | 34 | ¤25 | − 9 | − 27 | 5.5 | ¤1.0 | − 4.5 | − 82 |
| PL | 43 | 47 | + 4 | + 8 | 3.7 | 1.5 | − 2.2 | − 60 |
| RUb | 144 | ¤130 | − 14 | − 9 | 10.5 | ¤16.5 | + 6.0 | + 57 |
| SE | 52 | 35 | − 17 | − 33 | 2.3 | 0.7 | − 1.6 | − 71 |
1997–2003 is BSAP baseline
aDE: national
bRU: Baltic Sea catchment; ¤EE: base year 2004; DK, EE, LT: 2015 data only; RU: no 2017 data
Sources Eurostat and own calculations based on Russia’s Federal State Statistics Service by Knoema.com