Background to forest research in Ireland
Since the early 20th century, Irish forest policy has focussed on the restoration of forest cover and considerable progress has been achieved; forest cover has increased from 1.5% of the land area in 1900 to 11% of the land area in 2020. Early forestry establishment practice was informed by trial plantings, learned experiences and shared knowledge from Britain and Europe, the former whose programme shared many similarities with the Irish programme. The 1950s saw a rapid expansion in state planting, with national policy targets of 10,000 ha/yr. The demand for eligible land to support the new programme (land deemed unsuitable for productive agriculture) resulted in crops being planted on previously avoided areas (O’Carroll, 1962). In 1957, a research branch was established in the Department of Lands to provide technical information to assist the expanding state afforestation programme. The research branch had a mandate to conduct a forest inventory of state and private forests and included a soils and nutrition section whose work focussed on species selection, innovations in soil cultivation techniques and fertiliser application. Research into thinning and spacing of forest crops, forest genetics, forest pathology and vegetation control was added as the research branch became more established (Gallagher, 2021). Research into wood resource utilisation was conducted by the Forest Products Department of IIRS/Eolas/Forbairt based in Glasnevin in 1963. From this basis, the concept of career forest researchers working in specified areas was established and researchers became recognised national experts. From the mid-1970s to the mid-1980s, the research branch had 42 permanent staff, 14 of whom were permanent researchers, 20 field foresters, 3 lab technicians and 5 support staff. In 1989, the forest enterprise and the research branch were vested in a newly established state forestry company, Coillte Teoranta. It focussed on operational research and tree improvement. In the 1990s, Coillte rearranged its research effort into five key areas: genetics and tree improvement; crop structure; silviculture; site studies; and forest protection. However, forest research effort was gradually phased out with tree improvement research and development continuing up until 2015. Early research was also conducted by An Foras Taluntais (now Teagasc) as part of the National Soil Survey (1958–1990) focussing on the capacity of Irish soils to grow various forest crops (Bulfin et al., 1973) and latterly research on the potential of farm forestry as a viable farming enterprise (Frawley & Leavy, 2001).
In 1992, the National Council for Forest Research and Development (COFORD) was set up to coordinate national forest research and fund competitive research projects; this role was subsequently taken up by Department of Agriculture Food and the Marine (DAFM) in 2009 and remains part of the Firm/Stimulus/COFORD call for competitive research. The competitive call for proposals from COFORD has resulted in the emergence of forest research providing organisations (RPOs) at the third level (e.g. University College Dublin (UCD), National University of Ireland-Galway (NUIG), Waterford Institute of Technology (WIT), University College Cork (UCC), Trinity College Dublin (TCD), University of Limerick (UL)) and encouraged the increased involvement of Teagasc in contract forest research (Hendrick, 2017). Many of the outcomes of forestry research programmes have been incorporated into policy and practice (e.g. codes of forest practice, national forestry standard). In more recent years, research is reflecting the increasing awareness of the services provided by forests and there has been a growing awareness of the environmental role and impact of forests (Hendrick, 2010). The requirements to meet national and international commitments on climate change, biodiversity, water quality and forest health are becoming increasingly important drivers of forest policy (e.g. the Kyoto Protocol and the Paris Agreement). The European Green Deal (European Commission, 2019) also puts a focus on ensuring healthy and resilient forests so that they can contribute significantly to biodiversity and climate goals, reduce and mitigate natural disasters, while securing livelihoods and supporting a circular bioeconomy and rural communities. The role of research to address the potential negative impacts of climate change, increase sustainability and the circular bioeconomy is becoming increasingly important.
The objective of this paper is to provide the reader with an overview of forest research achievements across areas relating to forestry practice and policy covering the last 60 yr. The review is intended to provide the reader with a perspective on how the outcomes of research have informed policy and practice and the potential role of this and future research to assist in the achievement of sectoral targets and wider national and international goals.
Establishing new forests
Increasing forest cover is at the heart of current government policy to develop a competitive and sustainable forest sector and is central to the government’s Climate Action Plan (DAFM, 2014; Anon, 2019a). Here, we look at research which may assist policy development in this area.
To achieve planting targets of 8,000 ha/yr, additional land will be required to be planted; is this feasible? Farrelly & Gallagher (2015a) identified an area of 3.75 million ha of land suitable for afforestation in Ireland, of which 1.3 million ha was classified as marginal agricultural land. In the 1980s, Bulfin (1987) performed a similar analysis and concluded that much of the marginal agricultural land had the potential for forestry to provide good yields over relatively short rotations, providing alternative sources of incomes for farmers. As a result, many farmers on marginal land availed of forestry grants and premiums to plant, particularly in the 1990s and 2000s, and many owners’ forests have reached the final harvest age. The technical feasibility of planting land is well established and forms current operational practice (Forest Service, 2015). The outcomes of early research succeeded in providing guidelines to enable tree growth on a range of soils, with a limited history of agricultural usage (e.g. O’Carroll, 1962, 1975). However, as better land has been planted, opportunities to diversify species and plant broadleaves will require prior knowledge of the species site requirements. Much of the current knowledge base for species selection comes from practical research and development and uptake by state foresters, supplemented by knowledge of similar species and soils in the UK and wider afield. While disseminated within the state sector, many research outcomes were not formally published in peer-reviewed journals. Some of the results were synthesised in the COFORD book “A Guide to Species Selection” published in 2003 (Horgan et al., 2003).
Research into species selection can provide a deeper understanding of the cause-and-effect mechanisms that affect forest tree growth and yield, the aim being to predict the forest growth for investment decisions or to quantify the impact of climate change on the species growth (Farrelly et al., 2011). Vegetation and indicator species have been used to provide an indication of the inherent wetness and nutritional status of soils and their suitability for various tree species (Anderson, 1950). More recently, vegetation criteria have been used to provide an assessment of the eligibility of land for afforestation grant aid (Farrelly & Gallagher, 2015b).
To assess national and regional opportunities for afforestation, soil maps, such as those completed by the National Soil Survey (An Foras Taluntais 1958–1990; now Teagasc), can be used to assess the potential of forest tree species based on the occurrence of certain soil types (e.g. Conry & Clinch, 1989). Advancements in geographic information systems (GIS) have used these principles to assess the suitability of Irish soils for forestry (Loftus et al., 2002). In recent years, more complex GIS modelling techniques incorporate multiple competing land use objectives to provide a more realistic assessment of the amount of land available for afforestation (Farrelly & Gallagher, 2015a). The advent of climate change creates uncertainty in the current state of knowledge surrounding tree species selection and new research into the adaptive potential of key forest tree species to climate change in Ireland is necessary (Farrelly, 2021).
Forest genetics and tree improvement
Tree improvement is at the heart of increasing the competitiveness of the forest sector and offers the potential to increase carbon sequestration and harvest output. Here, we consider the advancements in tree breeding over the last 60 yr.
Tree improvement has been conducted in Ireland since the 1950s, with most of the early work focussing on provenance testing (Fennessy et al., 2012). Early provenance testing focussed on lodgepole pine (Pinus contorta Douglas), assessing provenances that offered a combination of acceptable yield and acceptable stem form (Pfeifer, 1993). In the 1960s and 1970s, an extensive provenance testing of Sitka spruce (Picea sitchensis (Bong.) Carr) took place. Results of the trials confirmed that selecting Sitka spruce origins from the southern part of its native range (Washington and Oregon) provided significant increases in productivity of up to one yield-class (2 m3/ha per year) over conventional Queen Charlotte Island sources (Pfeifer, 1984). Based on these results, Coillte, the Irish Forestry Board, recommends the planting of Washington and north Oregon seed origins for all sites except those above 300 m and those that are susceptible to autumn frosts (Thompson et al., 2005). For some species, provenance selection may be the final step in the tree improvement process, mainly because further returns on any investment on breeding are likely to be low (or even negative) (O’Reilly et al., 2014). For Sitka spruce, an improvement programme has been in place since the 1970s and individuals (parents) have been selected for breeding based on their progeny achieving a 15% increase in height gain over an untested control (Thompson, 2013). Typically, parent trees are grafted and put into seed orchards to produce improved seed, and Coillte currently has seed orchards of Sitka spruce and Lodgepole pine, for use in its reforestation programme. Research as part of the DAFM FORM project focussed on developing methods for early selection of improved parents and assessment of the performance of full-sib families under drought conditions (Grant et al., 2016). More recently, the GeneSIS project hopes to evaluate the potential of using genomics and genomic selection tools to accelerate the Sitka spruce tree improvement programme (Farrelly et al., 2020). The research hopes to identify good parental combiners using genomic and progeny test data to develop a genomic prediction model; the aim is to reduce the time associated with progeny testing (often 15+ yr). The impacts of the Sitka spruce improvement programme are estimated to generate a potential annual benefit of €5.7 million, assuming an annual planting programme of 9,000 ha/yr (O’Reilly et al., 2014).
Research into broadleaved tree improvement has been conducted by Teagasc since the late 1990s and is focussed on the development of a sustainable supply of improved, adapted and healthy seed and plant material to satisfy the European Union (EU) Forest Reproductive Material (FRM) regulations. The research to date has brought about the commercial supply of improved birch (Betula spp.) and alder (Alnus glutinosa L. Gaertn.) seed which is available to farmers and landowners wishing to plant broadleaves (Sheridan, 2021). Other research carried out as part of the DAFM FORM project seeks to select ash (Fraxinus excelsior L.) genotypes which show tolerance to the ash dieback disease (Hymenoscyphus fraxineus (T. Kowalski) Baral, Queloz & Hosoya) and identify the primary method of infection of ash plants (Nemesio-Gorriz et al., 2019). The research is focussed on identifying genotypes which show tolerance to the disease. Tolerant genotypes have been sourced after screening under high disease pressure in Lithuania, and others have been obtained by sourcing tolerant genotypes from European institutions. A gene bank of selected material has been established in Co. Kilkenny, and further research will continue to monitor which genotypes continue to show tolerance to the disease.
Forest management
The EU Green Deal (EC COM [2019] 640) and the New EU Forest Strategy for 2030 (European Commission, 2021) promotes the sustainable production of timber from well-managed forests. In the following section, we consider research in broadleaved management and timber forecasting.
Broadleaved management
The production of high-quality sawlog is dependent on timely management. A management intervention carried out decades prior to felling can have a large impact on whether the timber is high grade and suitable for sawlog, or low grade and suitable for firewood. Considerable loss of expertise in broadleaved management exists in Ireland; this can be traced back to the Industrial Revolution, when the importance of growing high-quality stems for industrial needs was less important as iron and steel displaced many timber products (Bulfin & Radford, 2001). Thus, the decline in management of broadleaves required research commensurate with the renewed interest in planting broadleaves. Early work in broadleaved management focussed on the establishment and management of broadleaf species to replace those cleared for fuel and food production during the Second World War for use as shelterbelts (Petrie, 1943). The growing of ash for hurley production was a subject of much research. Fitzsimons & Luddy (1986) provided the silviculture prescriptions for growing of ash for hurley production, incorporating planting rate, fertiliser, protection from browsing and thinning. Other options for growing ash included the planting of ash in mixtures with silver fir (Abies alba Mill.), Norway spruce (Picea abies (L.) H. Karst.) or noble fir (Abies procera Rehder). The use of the mixture provided protection from frost and exposure and served to suppress ground vegetation and provided much-needed revenue in the early years through the sale of Christmas trees (Fitzsimons & Luddy, 1986). Further research by Culleton & Bulfin (1992) and Culleton et al. (1995) examined the impact of vegetation control on the early height growth of ash concluding that it was vital for rapid and consistent establishment. Research into the management of young broadleaved crops concluded the benefits of formative shaping – the pruning of young trees – with the objective of producing a single straight stem of at least 5 m in length with small branches that will quickly die at the onset of canopy closure leaving the bole virtually defect free (Kerr, 1992). Research conducted by Bulfin & Radford (1998a, 1998b) on formative shaping on eight broadleaf species concluded that formative shaping improved stem form over that period and should commence ideally when the trees are 1.0 - 1.6 m in height. As better land was beginning to be planted by farmers in the early 1990s, COFORD published a book, “Growing Broadleaves” (Joyce et al., 1996), to assist practice development and an updated publication, “Broadleaf Forestry in Ireland” (Huss et al., 2016), which integrates forest research across soils, forest genetics, silviculture, forest growth and yield. More recent research has focussed on early tending and thinning of broadleaved crops and developing methods for rehabilitating poorly performing broadleaved stands where research is used to inform management practice (Short & Hawe, 2012, 2018).
Timber forecasting
Efficient forest management requires estimates of stand development and productivity to enable forest managers to plan operations and arrange timber sales and for financial managers to forecast costs and revenue. The British Forestry Commission yield tables have traditionally been used for forecasting production in Irish stands since the first table was produced in 1953 (Hummel & Christie, 1953). The yield tables are based on the yield class system (the maximum mean annual increment of a stand) and allow growth projections to be made following a prescribed management regime (Edwards & Christie, 1981). While the range of yield classes available covered yield class 6–24 m3/ha per year, early indications from assessments of the growth of Irish stands suggested that the yield classes in Ireland were often more than this range, owing to differences in growth rate, tree form and provenances grown in Ireland (Joyce & O’Carroll, 2002). This precipitated the development of yield tables for lodgepole pine in 1966 (Gallagher et al., 1987). The increased use of mathematical models and, later, computers assisted developments in yield research as it allowed complex functions to be fitted to large datasets and provided flexibility to incorporate diverse management objectives which were not dependent on a defined course of management. As a result, dynamic yield models were developed for Sitka spruce, Norway spruce and Douglas fir (Pseudotsuga menziesii (Mirbel) Franco) (Broad & Lynch, 2006), followed by the development of yield models for ash and Japanese larch (Larix kaempferi (Lamb.) Carr.) (McCullagh, 2013). The Irish dynamic yield models are available from COFORD as a software program called Growfor and are used primarily to assist the management of forest stands and produce forecasts for even-aged mono-species stands. Another yield model called Carbware has been developed for use in Irish forestry and has been used to assess carbon stocks in Irish forests (Hawkins & Black, 2012). The Carbware model is a single-tree growth model that simulates carbon dynamics in the forest, is useful at the individual tree level and can be used for uneven-aged and mixed stands. Single-tree modelling is data intensive, requiring that each tree is measured, and data costs and computing time can be significantly greater than those of stand model approaches. Future research may require re-development of models to incorporate the impact of genetic improvement and climate change and their impact on the growth and yield of forest crops.
Forest protection
Ensuring healthy and resilient forests is central to the new EU forest strategy for 2030 (European Commission, 2021); in this section, we consider two areas where research can assist with these objectives, notably windblow and insect pests and diseases.
Windblow
Given the climate and historical trends in planting, it is not surprising that the most significant abiotic factor causing damage to forests in Ireland is wind. Climate change is expected to bring about an increase in the frequency and intensity of winter storms in Ireland (Ní Dhubháin & Farrelly, 2018). Wind causes trees to be uprooted (windthrow) or break (windsnap), leading to significant financial losses for forest owners (Nieuwenhuis & Fitzpatrick, 2002). The impact of these storms can also result in the provision of ideal breeding grounds for insects and fungi (Peltola, 2006). Research has shown that management of forests, particularly on poorly drained soils, can result in the onset of windblow. In a survey of research plots by Gallagher (1974), those which had been unthinned suffered less damage than thinned plots. In a study of forests in Northern Ireland, the effect of altitude, soil type, and aspect were factors linked to increased windblow with high elevation sites, planted on gleyed soils on windward slopes, being more vulnerable to windblow (O’Cinneide, 1974). Hendrick (1989) and Rodgers et al. (2006) investigated the impact of site cultivation methods on tree stability and concluded that the force required to overturn trees planted on mole drains was greater than those planted where furrow ploughing had been used.
Useful tools have been developed to assist forest managers to quantify the risk of windblow. Ní Dhubháin et al. (2001, 2009) produced a model to predict the probability of windthrow risk in Sitka spruce stands based on site and crop factors. The model requires the height of the forest (risk increases as height increases), thinning status (thinning increases risk), soil type (risk is higher on poorly drained soils) and site elevation (risk increases with increasing elevation). Future research should build on established research and focus on methods for mitigating risk, especially as the frequency of winter storms is expected to increase. Forest management operations and those which predispose forest stands to windblow need further study (Ní Dhubháin & Farrelly, 2018).
Insect pests and diseases
In the 1950s, a strategic forest protection research programme was set up by the research branch of the Forest Service. Early work included an investigation into pine shoot dieback (putatively linked to Pullularia pullulans (de Bary) G. Arnaud) (de Brit, 1967) and group dieback (causal agent Rhizina undulata Fr.) of conifers (McKay & Clear, 1955). Research into the ongoing threat of fungal pathogens such as Heterobasidion annosum (Fr.) Bref. which caused heart rot of many forest species was conducted by McAree (1975) and subsequent control resulted in the use of urea on tree stumps to promote the growth of saprophytic fungi and limit the opportunities for the spread of the pathogen. Often collaborative work with the UK facilitated the quick discovery of pathogens and surveys for Dutch elm disease (Ophiostoma ulmi (Buisman) Melin & Nannf.) in Ireland (Mangan & Walsh, 1980) were conducted after it had been discovered on elm (Ulmus glabra Huds.) several years earlier in Britain. It is likely that the increase in the numbers of threatening non-native pests and pathogens being detected in Ireland can be linked to imports of lumber and wood packaging material as far back as the 1970s (e.g. O’Connor & Nash, 1979). In 1977, the first species-specific horizon scans for current and future pest threats were carried out for Sitka spruce (de Brit & McAree, 1977). Extensive work has also been done on control methods for the large pine weevil (Hylobius abietis L.) (e.g. Dillon et al., 2006); however, the pest remains a serious issue on reafforestation sites and control measures are becoming more difficult as pesticide options are becoming more limited. The outbreak of Phytophthora ramorum Werres, De Cock & Man in ’t Veld. in Japanese larch provided insights into the pathogen behaviour and efficient controls (O’Hanlon et al., 2017). The ash dieback epidemic has resulted in research to understand the epidemiology of the pathogen (Burns et al., 2017) and more latterly to understand optimal ways to control the disease and in the selection of tolerant genotypes (DAFM funded FORM and NEXCELSIOR projects).
The FORM project provided additional horizon scanning and pest risk assessment research findings for the benefit of Irish forestry (Truffen & Grogan, 2018). Preventative research through EU and the European and Mediterranean Plant Protection Organisation Pest Risk Assessments has succeeded in identifying over 200 EU-regulated pests and pathogens and protected zones to exclude pests indigenous to Europe from areas they are not already present. Routine surveys and protective measures are being implemented to prevent establishment of such pests in Ireland (Anon, 2019b) and updates to the regulated lists are recommended as research progresses (Anon, 2019c).
Forestry and carbon
Ireland’s commitment to emission reduction under the Kyoto Protocol (UNFCC, 1997) and Paris Agreements (United Nations, 2015) has resulted in significant research effort to provide increased knowledge about the carbon balance in forest ecosystems.
Research into forest carbon sequestration of Irish forests began to be funded by COFORD in the early 2000s, beginning with the CARBiFOR project (Black & Farrell, 2006). Research focussed on improving inventory-based estimates of forest carbon sequestration in the most commonly occurring Sitka spruce dominated forest type in Ireland. An ecosystem approach was used to examine stocks and fluxes between the soil, tree and ground debris/vegetation pools. Biometric inventories of chronosequence sites were used with biomass models to estimate tree biomass and carbon accumulation (Tobin & Nieuwenhuis, 2007). Deadwood (Tobin et al., 2007) stocks were also examined, as were soil (Saiz et al., 2007) and tree respiration. Eddy covariance measurements from a core research site (Dooary, Co. Laois) were used to estimate the net ecosystem exchange, which was used to validate estimates made based on inventory-based measurements (Black et al., 2009). The research was instrumental in determining that over the first Kyoto commitment period from 2008 to 2012, annual sequestration rates were higher than previously reported (4–8 t C/ha per year compared to 3.36 t C/ha per year as reported by Kilbride et al. (1999). Research included the development of a national accounting software system for forestry called CARBWARE (Hawkins & Black, 2012) which estimated that Irish forests sequestered 17 Mt CO2 eq. during the period 2008–2012, representing 20% of Ireland’s national greenhouse gas emissions reduction target for the period (Black et al., 2012).
Further research by Saunders et al. (2012) reported a climate-dependent impact of thinning on forest carbon uptake. Higher air temperatures and solar radiation in the growing season following the thinning were responsible for an immediate compensatory increase in photosynthesis by the remaining trees. Forest soil carbon stocks have been investigated by Wellock et al. (2011b), who found that the afforestation resulted in no significant changes in soil carbon, citing the high degree of uncertainty arising from a low sampling number. For the estimation of peat soil stocks, Wellock et al. (2011a) found peat depth and type to be significant factors. Byrne & Milne (2006) found that the afforestation of peat soils resulted in net emissions of carbon, but this finding depended heavily on a range of assumptions regarding the rate of peat carbon loss. However, Byrne & Farrell (2005) demonstrated that losses due to afforestation of blanket peat soils could be compensated by carbon taken up by tree growth. However, the difficulties presented by the drying of such large carbon stores by forests growing on peat soils, as anticipated by Farrell & Boyle (1990) and Tomlinson (2005), will continue to be a challenge for future management in light of expected changes in climate (Jovani-Sancho et al., 2021).
Forestry economics
Early economic research focused on qualitative analysis of planting policy with reference to the area planted (Attwood, 1964) and critiques of the poor quality of the land being acquired for planting by the state. Given the focus on increasing afforestation rates, it is not surprising that the comparison of agriculture and forestry in terms of land use change is a frequent point of discussion in the early literature (Clear, 1948), later analysed in detail in Frank Convery’s work (1973). Other early topics of interest included assessing the wider benefits of the forest estate in relation to its economic value (Durand, 1992) and the social impact of forestry (Convery, 1970; Clinch, 2000). Research into the economics of crop types was conducted for lodgepole pine (O’Driscoll, 1980) and Sitka spruce (O’Brien, 1986). The economics of timber production and the relative merits of management operations such as spacing and re-spacing to improve returns were studied by O’Brien (1981) and the economic merits of thinning by Gerely & Phillips (1999). The 1970s and the oil crisis saw research into the economics of wood energy (Neenan, 1977) and short rotation forestry (Neenan & Lyons, 1981). Research into the timber processing sector was also conducted to include sawmilling and the economy by Convery (1981), while Anderson et al. (1994) examined the wood processing and forest products wood chain.
The 1970s and 1980s saw early research into biodiversity (Long & Whelan, 1984), and recreation economics were examined by Murphy & Gardiner (1983). Later studies of the ecosystem services provided by forests included the “tourists” perception of the landscape (O’Leary et al., 1998), forests and water quality (Kelly-Quinn et al., 1997), the role of forest carbon sequestration (Hendrick & Ryan, 2001) and the amenity value of forests (Hynes et al., 2007). Bullock et al. (2016) undertook a comprehensive review of ecosystem services and their valuation, while more recently, Duffy et al. (2020) examined the impact on water quality of agriculture replacing forests.
Research into the factors influencing planting accompanied the rapid uptake of forestry grants by farmers (e.g. Ní Dhubháin & Gardiner, 1994; Ní Dhubháin, 1995; McCarthy et al., 2003). However, as planting rates began to decline in the 2000s, research into the barriers to farmer planting was initiated. McDonagh et al. (2011) found that the most important barrier to afforestation was that farmers needed their land for agriculture and the permanent nature of the planting decision. The relativity of agricultural and forest incomes was investigated by Behan & McQuinn (2005), while Ryan et al. (2017) investigated the impact of taxation and benefits. Duesberg et al. (2013) undertook qualitative analyses to provide more nuanced information on farmers’ attitudes to forestry that concurred with findings from a detailed farm-level quantitative analysis (Ryan et al., 2018), namely that while financial drivers are important, other factors such as non-pecuniary benefits (Howley et al., 2015) are also important drivers or barriers to land use change.
Discussion and conclusion
It is sometimes stated that research meets society’s needs only when it contributes to policy aims being met. However, research also has a role in ensuring that policy goals are well founded, so research must inform policymakers, as well as practitioners, through scientific, timely and effectively communicated information. This review is intended to give a perspective on some of the outcomes of forestry research over the last 60 yr and how many have been taken up in policy and practice (e.g. Code of practice and Forestry Standards Manual [Forest Service, 2000, 2015]). Perhaps the most important goal commensurate with forest policy is to increase forest cover. Recent low planting levels suggest that there is an uncertainty as to whether goals and targets can be achieved. The outputs of research have informed afforestation scenario modelling and had a significant impact in providing input to forest policy development and public discourse on forestry in relation to economic impact of forestry. To achieve desired afforestation targets, the work of Farrelly & Gallagher (2015a) suggests that in principle sufficient land resources exist to increase forest cover, while the research of Ryan et al. (2018) suggests that considerable effort will be required to initiate future land use change, perhaps requiring a deeper understanding of the drivers of land use change. The incorporation of behavioural economics, particularly in relation to long-term decisions and attitudes associated with afforestation, is necessary. The importance of carbon as an ecosystem service is a key driver, and further research in relation to its implications for carbon policy needs to be conducted. The role of harvested wood products in carbon sequestration and the circular economy will only increase in importance.
Research in forest establishment, particularly on the nutrition of forest crops (e.g. O’Carroll, 1975), did much to enable tree growth on a range of soils associated with early state afforestation which was confined to marginal and sub-marginal soils to avoid competition with agriculture (Gray, 1964). This research contributed significantly to continuing wood production and harvest on these soils. Research on species selection synthesised in the book by Horgan et al. (2003) has been instrumental in informing the Forest Service, who use it to inform the list of approved species and provenances for afforestation. The benefits of various tree improvement programmes are currently being realised with the availability of improved seed for various tree species (e.g. Thompson, 2013). The outcomes of this research will play a key role to increase carbon sequestration, improving the quality of timber products from forests and increasing the competitiveness of the forest sector. The uncertainties posed by climate change are creating uncertainties in Irish forestry. Increasing the knowledge base of how tree species respond to climatic stresses will become increasingly important to evaluate tree planting decisions to promote forest health and resilience of the resource (Farrelly, 2021). Forest management decisions have been assisted by the development of Growfor, a dynamic yield model for forest management which has been the outcome of much research into crop growth and yield (e.g. Broad & Lynch, 2006) and is widely used within the forest sector to forecast future growth and yield of stands and the likely impact of management interventions on crop development.
Methods to mitigate the risk of windblow will be necessary which may include alternative management strategies, these will require further research (Ní Dhubháin & Farrelly, 2018). To assist the development of broadleaved silviculture which was lacking, many research outcomes on soils, forest genetics, silviculture and forest growth and yield have been incorporated into two significant publications on practice – Growing Broadleaves (Joyce et al., 1996) and Broadleaf Forestry in Ireland (Huss et al., 2016) which serve as important reference guides for broadleaved forest management.
The significant afforestation programme in Ireland over the last two decades has resulted in the sequestration of a large quantity of atmospheric carbon. Research to quantify the carbon resource (e.g. CARBiFOR) has been instrumental in assisting the development of a national greenhouse gas accounting system to UNFCCC to Tier 2 and Tier 3 levels which is used for national reporting. However, the management of this carbon store and the forest resource has acquired a consequent responsibility. The impact of disturbances caused by management interventions such as thinning and clear-felling operations, as well as abiotic factors such as fire and wind and biotic factors, has a consequence for greenhouse gas dynamics in forests. It is essential therefore to maintain long-term forest monitoring datasets, where both biometric and flux measurements can be directly associated with climatic factors. Opportunity for the combined use of remote sensing with inventory measurements to monitor changes in forest health and aboveground carbon mass may assist the process (McInerney et al., 2011). The continued provision of ecosystem services requires that the resource is adequately protected. Some of the outcomes of forest protection research have been incorporated into advice and practice, notably in pine weevil control and the Forest Service schemes to control and replace Chalara-infected stands. New research into the basic biology of forest pests is necessary. Further research into pre-emptive methods and pest risk analysis (e.g. Truffen & Grogan, 2018) will be necessary to be better prepared for biotic challenges.