Indicator Climate

Topic Core indicator DPSIR Main topic
Climate State
Landscape State

Greenhouse gas balance of land use

The Land Use sector records greenhouse gas fluxes that occur in connection with land use or as the result of a change in land use, such as building houses on former cropland. Unlike the other sectors, which only produce emissions, the amount of carbon stored in vegetation and soils can increase or decrease. In this way, carbon dioxide (CO2) is removed from or added to the atmosphere.

Assessment of the state
medium medium
Assessment of the trend
impossible to evaluate impossible to evaluate
Greenhouse gas balance of land use and land-use changes 2023: 1.2991981067909 Greenhouse gas balance of land use and land-use changes 2022: -1.42947979444433 Greenhouse gas balance of land use and land-use changes 2021: -0.390988071364952 Greenhouse gas balance of land use and land-use changes 2020: -1.22277951180146 Greenhouse gas balance of land use and land-use changes 2019: -3.14501384246626 Greenhouse gas balance of land use and land-use changes 2018: 1.11986481455206 Greenhouse gas balance of land use and land-use changes 2017: -1.82169735979359 Greenhouse gas balance of land use and land-use changes 2016: -3.20459276358274 Greenhouse gas balance of land use and land-use changes 2015: 1.17359083734508 Greenhouse gas balance of land use and land-use changes 2014: -3.99663183213275 Greenhouse gas balance of land use and land-use changes 2013: -0.232899544749637 Greenhouse gas balance of land use and land-use changes 2012: -0.426176831560173 Greenhouse gas balance of land use and land-use changes 2011: -3.35811547838528 Greenhouse gas balance of land use and land-use changes 2010: -2.2109190740954 Greenhouse gas balance of land use and land-use changes 2009: -2.26447368583772 Greenhouse gas balance of land use and land-use changes 2008: -1.86334031325355 Greenhouse gas balance of land use and land-use changes 2007: -1.56097326522866 Greenhouse gas balance of land use and land-use changes 2006: -0.56569938005413 Greenhouse gas balance of land use and land-use changes 2005: -2.39705780645702 Greenhouse gas balance of land use and land-use changes 2004: -4.82417145104904 Greenhouse gas balance of land use and land-use changes 2003: -2.03542615074345 Greenhouse gas balance of land use and land-use changes 2002: -2.68717555386484 Greenhouse gas balance of land use and land-use changes 2001: -0.151570605169347 Greenhouse gas balance of land use and land-use changes 2000: 3.92746670067404 Greenhouse gas balance of land use and land-use changes 1999: -1.38656580771803 Greenhouse gas balance of land use and land-use changes 1998: -3.60227529769966 Greenhouse gas balance of land use and land-use changes 1997: -4.18093740648032 Greenhouse gas balance of land use and land-use changes 1996: -7.47661440877372 Greenhouse gas balance of land use and land-use changes 1995: -4.17031982309947 Greenhouse gas balance of land use and land-use changes 1994: -1.92567753817987 Greenhouse gas balance of land use and land-use changes 1993: -5.33293840287514 Greenhouse gas balance of land use and land-use changes 1992: -4.70404973220465 Greenhouse gas balance of land use and land-use changes 1991: -6.83602516429632 Greenhouse gas balance of land use and land-use changes 1990: -2.66645536558919
A positive balance equates to a net emission of greenhouse gases in the year in question, while a negative balance means that more CO2 was removed from the atmosphere than was emitted.

Data for the graph: Excel
Source: Federal Office for the Environment
Harvested wood products 2023: 0.0419755966666667 Other land 2023: 0.095748184232908 Settlements 2023: 0.112999097660088 Wetlands 2023: 0.161514842064338 Grassland 2023: 0.756462416765892 Cropland 2023: 0.515019478958722 Forest land 2023: -0.384521509557717 Harvested wood products 2022: -0.0456871433333334 Other land 2022: 0.100828267144278 Settlements 2022: 0.120753997225914 Wetlands 2022: 0.176280791031434 Grassland 2022: 0.327063582115212 Cropland 2022: -0.206629609298233 Forest land 2022: -1.90208967932961 Harvested wood products 2021: -0.145268053333333 Other land 2021: 0.0913780013483145 Settlements 2021: 0.140694862620123 Wetlands 2021: 0.162390271302021 Grassland 2021: 0.479624636238429 Cropland 2021: 1.86358194338957 Forest land 2021: -2.98338973293007 Harvested wood products 2020: -0.0219538733333334 Other land 2020: 0.0958725163488622 Settlements 2020: 0.130834739051696 Wetlands 2020: 0.166473308568065 Grassland 2020: 0.995023263371606 Cropland 2020: 0.150136202223357 Forest land 2020: -2.73916566803171 Harvested wood products 2019: 0.0512791033333332 Other land 2019: 0.0992592261095223 Settlements 2019: 0.152471329923469 Wetlands 2019: 0.171746051767768 Grassland 2019: 0.00589454421209704 Cropland 2019: -0.852650154092469 Forest land 2019: -2.77301394371998 Harvested wood products 2018: -0.0802548266666668 Other land 2018: 0.106681242383178 Settlements 2018: 0.161899076571332 Wetlands 2018: 0.165469379572344 Grassland 2018: 1.24846434652354 Cropland 2018: 1.01106611077545 Forest land 2018: -1.49346051460711 Harvested wood products 2017: -0.0183244233333333 Other land 2017: 0.104609329982667 Settlements 2017: 0.173107847505376 Wetlands 2017: 0.17114259350002 Grassland 2017: 1.3575584965008 Cropland 2017: -0.450958004049242 Forest land 2017: -3.15883319989988 Harvested wood products 2016: 0.00146446666666654 Other land 2016: 0.101178274362238 Settlements 2016: 0.153329169217489 Wetlands 2016: 0.180279906394346 Grassland 2016: -0.718061687416719 Cropland 2016: 0.707775110181539 Forest land 2016: -3.6305580029883 Harvested wood products 2015: -0.03650757 Other land 2015: 0.0962116588114255 Settlements 2015: 0.161906935116868 Wetlands 2015: 0.166774819814279 Grassland 2015: 1.99028599440279 Cropland 2015: 2.00803838789098 Forest land 2015: -3.21311938869126 Harvested wood products 2014: -0.05940231 Other land 2014: 0.0973319981120983 Settlements 2014: 0.166412168904993 Wetlands 2014: 0.168913428176575 Grassland 2014: -0.403645517174672 Cropland 2014: -1.42076482829195 Forest land 2014: -2.54547677185979 Harvested wood products 2013: 0.12641805 Other land 2013: 0.101107145537321 Settlements 2013: 0.185360385888961 Wetlands 2013: 0.183062301120773 Grassland 2013: 1.23332354372039 Cropland 2013: 1.50320160680167 Forest land 2013: -3.56537257781876 Harvested wood products 2012: -0.0697195400000001 Other land 2012: 0.0985684077275567 Settlements 2012: 0.192723420625671 Wetlands 2012: 0.186931137041706 Grassland 2012: 0.744909159949716 Cropland 2012: 1.08912022959883 Forest land 2012: -2.66870964650365 Harvested wood products 2011: -0.25889391 Other land 2011: 0.0865569548559568 Settlements 2011: 0.18015427357309 Wetlands 2011: 0.168732710977048 Grassland 2011: -0.0165269111959351 Cropland 2011: -1.13082284762249 Forest land 2011: -2.38731574897295 Harvested wood products 2010: -0.34730212 Other land 2010: 0.0988958526357318 Settlements 2010: 0.194267249290501 Wetlands 2010: 0.178705803117779 Grassland 2010: 0.668898085606619 Cropland 2010: 0.888563610616791 Forest land 2010: -3.89294755536282 Harvested wood products 2009: -0.290499696666667 Other land 2009: 0.0936967911437806 Settlements 2009: 0.182941105598036 Wetlands 2009: 0.180364937910817 Grassland 2009: 0.361282502004356 Cropland 2009: 0.119364800334533 Forest land 2009: -2.91162412616258 Harvested wood products 2008: -0.29276588 Other land 2008: 0.099317130114167 Settlements 2008: 0.191887899772037 Wetlands 2008: 0.185674572586238 Grassland 2008: 0.423166114549891 Cropland 2008: 0.349491271832547 Forest land 2008: -2.82011142210843 Harvested wood products 2007: -0.672120496666667 Other land 2007: 0.104111191616742 Settlements 2007: 0.218347014012144 Wetlands 2007: 0.168472718194624 Grassland 2007: 0.465043416307869 Cropland 2007: -0.164359319102148 Forest land 2007: -1.68046778959123 Harvested wood products 2006: -0.381615006666667 Other land 2006: 0.0994662180791862 Settlements 2006: 0.209450242948676 Wetlands 2006: 0.175218718119329 Grassland 2006: -0.0181074990913726 Cropland 2006: 0.302189756912424 Forest land 2006: -0.952301810355704 Harvested wood products 2005: -0.619674623333334 Other land 2005: 0.0953591876048319 Settlements 2005: 0.234163852419453 Wetlands 2005: 0.173446740359356 Grassland 2005: 0.342863742703516 Cropland 2005: 0.877608656351786 Forest land 2005: -3.50082536256262 Harvested wood products 2004: -0.506279106666667 Other land 2004: 0.0835309112189728 Settlements 2004: 0.217586656454427 Wetlands 2004: 0.173721918450975 Grassland 2004: 0.125333486529289 Cropland 2004: -1.04396951708211 Forest land 2004: -3.87409579995393 Harvested wood products 2003: -0.342595806666667 Other land 2003: 0.0989667558664058 Settlements 2003: 0.208719553461163 Wetlands 2003: 0.177527846617705 Grassland 2003: 0.267424331059796 Cropland 2003: 0.42013339524392 Forest land 2003: -2.86560222632578 Harvested wood products 2002: -0.2710103 Other land 2002: 0.107148822956076 Settlements 2002: 0.234937569385325 Wetlands 2002: 0.171761125082439 Grassland 2002: 0.2417822415731 Cropland 2002: 0.19180481558695 Forest land 2002: -3.36359982844874 Harvested wood products 2001: -0.39927778 Other land 2001: 0.0966523752970564 Settlements 2001: 0.216031298624367 Wetlands 2001: 0.171643042261999 Grassland 2001: 0.339195391663786 Cropland 2001: 1.29226075360184 Forest land 2001: -1.86807568661839 Harvested wood products 2000: -0.705168346666667 Other land 2000: 0.0867473669598031 Settlements 2000: 0.248803597682116 Wetlands 2000: 0.176645821156003 Grassland 2000: 0.39735752210188 Cropland 2000: -0.00244991032146913 Forest land 2000: 3.72553064976237 Harvested wood products 1999: -0.354694523333334 Other land 1999: 0.0879431553770015 Settlements 1999: 0.223974398484708 Wetlands 1999: 0.175465890344237 Grassland 1999: 0.0217861131244842 Cropland 1999: 1.21792570014715 Forest land 1999: -2.75896654186227 Harvested wood products 1998: -0.26235077 Other land 1998: 0.0988594778587534 Settlements 1998: 0.221419955472956 Wetlands 1998: 0.177986869753685 Grassland 1998: 0.194470864152416 Cropland 1998: -0.255116946251731 Forest land 1998: -3.77754474868574 Harvested wood products 1997: -0.224710236666667 Other land 1997: 0.0953927575698209 Settlements 1997: 0.20726179619568 Wetlands 1997: 0.170127668395247 Grassland 1997: -0.318884339289145 Cropland 1997: 0.483200721073717 Forest land 1997: -4.59332577375897 Harvested wood products 1996: -0.253021486666667 Other land 1996: 0.0816487116113578 Settlements 1996: 0.214850307247023 Wetlands 1996: 0.169921756590591 Grassland 1996: -0.568674951107727 Cropland 1996: -0.176589243650428 Forest land 1996: -6.94474950279787 Harvested wood products 1995: -0.436309976666667 Other land 1995: 0.0950751240757276 Settlements 1995: 0.232439222305511 Wetlands 1995: 0.16824961095975 Grassland 1995: 0.20115123297663 Cropland 1995: 0.494056223704261 Forest land 1995: -4.92498126045468 Harvested wood products 1994: -0.328503743333334 Other land 1994: 0.0950259959235094 Settlements 1994: 0.211277665802659 Wetlands 1994: 0.164329376256161 Grassland 1994: -0.0141970368284888 Cropland 1994: 1.54095918003112 Forest land 1994: -3.5945689760315 Harvested wood products 1993: -0.442667793333334 Other land 1993: 0.0762110320627223 Settlements 1993: 0.206998188686117 Wetlands 1993: 0.156403950254571 Grassland 1993: -0.077172783987857 Cropland 1993: 0.524599666448688 Forest land 1993: -5.77731066300605 Harvested wood products 1992: -0.539729593333334 Other land 1992: 0.0748246649407501 Settlements 1992: 0.199930428833701 Wetlands 1992: 0.150031880591102 Grassland 1992: -0.591577984299504 Cropland 1992: 0.683272267527075 Forest land 1992: -4.68080139646445 Harvested wood products 1991: -0.755343673333334 Other land 1991: 0.0731860367074167 Settlements 1991: 0.18606098192361 Wetlands 1991: 0.147273515771777 Grassland 1991: -0.974570841884874 Cropland 1991: 0.222818205078949 Forest land 1991: -5.73544938855987 Harvested wood products 1990: -1.14912933666667 Other land 1990: 0.0804371183583334 Settlements 1990: 0.169259551109833 Wetlands 1990: 0.159714905643333 Grassland 1990: -0.438605531939547 Cropland 1990: 0.530369947236667 Forest land 1990: -2.01850201933114
A positive balance equates to a net emission of greenhouse gases (mainly CO2) in the year in question, while a negative balance means that more CO2 equivalents were removed from the atmosphere than were emitted.

Data for the graph: Excel
Source: Federal Office for the Environment
Comment

Forest land dominates the greenhouse gas balance of Switzerland’s land use. With the exception of a single year (2000), forest management has always resulted in a distinct increase in the total carbon reservoir in trees, dead wood, litter and forest soils (so-called forest sink). The forced usage following severe storms (Vivian in February 1990, Lothar in December 1999) and the rise in volumes harvested in some years (e.g. 2006 and 2007) are clearly recognisable. The data from the National Forest Inventory show that, since the 1990s, Swiss forests have tended to absorb and store less CO2 per year. It is unclear how strongly the accumulation of hot and dry summers in the past decade, which caused drastic forest damage in many European countries, affects Switzerland. In view of the climate changes already observed and emerging, sensitive forest stands must be adapted to future site conditions by means of adaptive, close-to-nature silviculture. The measures required for this are likely to reduce the sink performance of the forest temporarily, but in the long term they will reduce the risk of large-scale damage due to natural disturbances.

In terms of climate policy, sound forest management can be achieved by using the wood grown in a cascade, firstly for long-lasting, high-quality harvested wood products and subsequently as fuel. In almost all the years since 1990, more wood has been incorporated into new products (such as building timber or furniture) than has been released again (as CO2) during the disposal and/or incineration of disused wood products. However, the annual sink from harvested wood products has tended to decrease in recent decades.

The agricultural use of cropland and grassland affects the carbon stock of the soil. For example, ploughing encourages the depletion of humus, whereas spreading farmyard manure or leaving harvest residues on the fields increases their carbon stock. In addition to the farming method, the main factors influencing the annual fluctuations are the crops grown and, above all, the weather conditions. The case of drained former peatlands is a special one. When subjected to intense agricultural use, these fertile soils release large amounts of the greenhouse gases CO2 and N2O.

Wetlands now only account for a small part of the land area. As almost all of the remaining peatlands have been impaired by the consequences of previous use (particularly drainage), the build-up of peat has stopped, and many of the former sinks are now sources of greenhouse gases.

The development of new settlements has resulted in comparatively low emissions since 1990. Emissions are mainly produced if trees have to be felled during construction work. By contrast, the increasing greening of sealed surfaces in recent decades has helped to contain net emissions in urban areas.

Other land such as rocks, scree and glacier forelands have very little vegetation and only poorly developed soil or none at all. These areas play an insignificant role in the greenhouse gas balance.

With the exception of the years 2000, 2015, 2018 and 2023 Switzerland’s land use resulted in more CO2 being absorbed from the atmosphere by the vegetation and soils than was emitted. Switzerland's annual net greenhouse gas emissions decreased as a result of this ecosystem service. In particular, the unsustainable use of former peatland and the consumption of land for housing and transport continue to release greenhouse gases. Therefore, the situation is not fully satisfactory. Many factors, such as forestry and agricultural policy, spatial planning, construction activity and extreme weather events, influence the greenhouse gas balance of the land use sector. No criteria have yet been defined for evaluating the development of the indicator.

International comparison

The greenhouse gas balance of land use can be compared to the data from other countries, given that it is calculated in accordance with the IPCC guidelines.

Method

The data are taken from the inventory of greenhouse gas emissions in Switzerland (Land Use, Land-Use Change and Forestry Sector), which is drawn up annually by the FOEN in accordance with the guidelines of the UN Framework Convention on Climate Change. The methods are consistent with the guidelines of the IPCC (Intergovernmental Panel on Climate Change).

The greenhouse gas fluxes are surveyed for six categories of land use: forest land, cropland, grassland, wetlands, settlements and other land. The carbon stock of harvested wood products made from Swiss wood is also recorded. CO2 is the most important greenhouse gas by far in the Land Use sector. Methane (CH4) and nitrous oxide (N2O) from fires, humus depletion, reservoirs and drained peatlands make a minor contribution to the emissions. The emissions of CH4 and N2O are converted to CO2 equivalents and added to the CO2 emissions.

 
Last updated on: 15.04.2025

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