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Changing climatic drivers of European spruce bark beetle outbreaks: a comparison of locations around the Northern Baltic Sea 欧洲云杉树皮甲虫爆发的气候变化驱动因素:波罗的海北部地区的比较
3区 农林科学 Q2 FORESTRY Pub Date : 2023-01-01 DOI: 10.14214/sf.23003
Olli-Pekka Tikkanen, Ilari Lehtonen
European spruce bark beetle (Ips typographus [L.]; SBB) damage has reached extreme and unprecedented levels in East Central Sweden, likely driven by increasing temperatures and severe drought due to climate change. However, SBB outbreaks have been less severe on the eastern side of the Baltic Sea, in Estonia and Finland, than in Sweden. This study investigated how precipitation, temperature sum, and droughts (hydrothermic index) have varied in land areas surrounding the Baltic Sea. We studied past meteorological observations from 1950 to 1999. We modeled the effect of climate change on precipitation and temperature using three representative concentration pathway (RCP) scenarios for greenhouse gas emissions (RCP2.6, RCP4.5, and RCP8.5) and multiple (17–23) climate models. Future climate projections (up to 2100) were made for Southeastern Estonia, Southern Finland, and East Central Sweden. Weather data showed that temperature sums had been high and droughts severe in the 2010s, particularly in East Central Sweden, where SBB outbreaks have been a more significant problem than on the eastern shores of the Baltic Sea. Future climate projections suggest that increases in temperature sum will further enhance SBB reproduction, especially in the RCP4.5 and RCP8.5 scenarios. In all climate change scenarios, drought continues to be a problem in East Central Sweden, potentially facilitating SBB outbreaks. In addition, moderate and severe droughts may become more frequent in Southeastern Estonia and Southern Finland if climate change proceeds as predicted in the RCP4.5 or RCP8.5 scenarios.
云杉皮甲虫(ipstypographus) [l];在瑞典中东部,SBB造成的破坏达到了前所未有的极端水平,这可能是由气候变化导致的气温升高和严重干旱造成的。然而,在波罗的海东岸的爱沙尼亚和芬兰,SBB疫情的严重程度低于瑞典。本研究调查了波罗的海周围陆地地区的降水、温度总和和干旱(水热指数)的变化情况。我们研究了1950年至1999年的气象观测资料。利用3种具有代表性的温室气体排放浓度路径情景(RCP2.6、RCP4.5和RCP8.5)和多种(17-23)气候模式模拟了气候变化对降水和温度的影响。对爱沙尼亚东南部、芬兰南部和瑞典中东部的未来气候进行了预测(直到2100年)。气象数据显示,2010年代气温很高,干旱严重,特别是在瑞典中东部,SBB在那里爆发的问题比在波罗的海东岸更为严重。未来气候预估表明,温度总和的增加将进一步促进SBB的繁殖,特别是在RCP4.5和RCP8.5情景下。在所有气候变化情景中,干旱仍然是瑞典中东部的一个问题,可能促进SBB的爆发。此外,如果气候变化按照RCP4.5或RCP8.5情景的预测进行,爱沙尼亚东南部和芬兰南部的中度和重度干旱可能会变得更加频繁。
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引用次数: 0
Habitat associations of red-listed epiphytic lichens in Finland 芬兰红色名单附生地衣的生境关联
3区 农林科学 Q2 FORESTRY Pub Date : 2023-01-01 DOI: 10.14214/sf.22019
Aleksi Nirhamo, Juha Pykälä, Kimmo Jääskeläinen, Jari Kouki
The Finnish red list shows that the epiphytic lichen flora of Finnish forests is highly threatened and declining steeply. Red lists provide limited information on the habitat associations of threatened species, which could be relevant in informing management and conservation measures. We used documented empirical data and expert assessments to determine for each red-listed (IUCN categories Near Threatened, NT; Vulnerable, VU; Endangered, EN; Critically Endangered, CR; Regionally Extinct, RE) epiphytic lichen species of Finland the following key habitat associations: host tree species, substrate type, habitat type, geographical distribution, preferred microclimate, and minimum required forest and tree age. The most important host tree species were Picea abies (L.) H. Karst. and Populus tremula L. Other tree species of high importance included Sorbus aucuparia L. and Salix caprea L. One fourth of red-listed epiphytic lichens were primarily lignicolous. Most species required old-growth forests (required by 41% of species) or old trees (52%), but many species required only mature forests (36%) or trees (35%). The microclimatic preferences of most red-listed epiphytic lichens consisted of high or intermediate light availability and humidity. Most species whose status had deteriorated were dependent on deciduous trees. The continuous availability of old deciduous trees (especially Populus, Salix and Sorbus) requires special attention in both managed and protected forests. Red-listed epiphytic lichens would be aided by increased forest protection or transitioning to less intensive management regimes.
芬兰的红色名录显示,芬兰森林的附生地衣植物群受到高度威胁,并急剧减少。红色名录提供了关于受威胁物种栖息地关联的有限信息,这些信息可能与通知管理和保护措施有关。我们使用记录的经验数据和专家评估来确定每个红色名单(IUCN类别近危,NT;脆弱,VU;濒危,;极度濒危;芬兰区域灭绝的附生地衣物种:寄主树种、基质类型、栖息地类型、地理分布、偏好的小气候、最小森林和树龄。主要寄主树种为云杉(Picea abies)。h .岩溶。红皮书附生地衣中,四分之一的地衣以木质为主。大多数物种需要原生林(41%的物种需要)或古树(52%),但许多物种只需要成熟林(36%)或树(35%)。大多数红名单附生地衣的小气候偏好包括高或中等光效度和湿度。大多数状态恶化的物种依赖于落叶乔木。在管理和受保护的森林中,需要特别注意老落叶树(特别是杨树、柳和酢浆草)的持续供应。列入红色名单的附生地衣将得到加强森林保护或过渡到较不密集的管理制度的帮助。
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引用次数: 2
Effect of arginine-phosphate addition on early survival and growth of Scots pine, Norway spruce and silver birch 添加精氨酸-磷酸对苏格兰松、挪威云杉和白桦早期存活和生长的影响
3区 农林科学 Q2 FORESTRY Pub Date : 2023-01-01 DOI: 10.14214/sf.22013
Bodil Häggström, Reimo Lutter, Tomas Lundmark, Fredrik Sjödin, Annika Nordin
Applying arginine-phosphate (AP) to tree seedlings at planting is a novel silvicultural practice in Northern Europe to improve the success of forest regeneration. We present three case-studies of the potential advantages of adding AP at planting on the establishment and damage susceptibility of seedlings in pure and mixed plantings of Scots pine (Pinus sylvestris L.), Norway spruce (Picea abies (L.) H. Karst. ) and silver birch (Betula pendula Roth) over two years in the field. Location of study sites were in southern (S), northeastern (NE) and northwestern (NW) Sweden. The main agents of damage were pine weevil (Hylobius abietis L.) on conifers at the south site, browsing of birch at all sites and browsing/other top damage to conifers at the north sites. The effect of adding AP varied between the sites. It was positive for survival of pine at site S, despite considerable damage by pine weevil. However, at the S site more of the surviving spruce and birch were browsed when treated with AP. At the NE site AP-treatment had positive effects on conifer growth. At the NW site adding AP positively affected survival and growth of all three species, and AP-treated seedlings of all species were less browsed than untreated seedlings. AP treatment presents a potential tool to improve the success of forest regeneration, especially when establishing pine stands in south Sweden.
在树苗上施用精氨酸-磷酸(AP)是北欧一种提高森林更新成功率的新型造林方法。本文介绍了在苏格兰松(Pinus sylvestris L.)、挪威云杉(Picea abies (L.))纯种植和混合种植中添加AP对幼苗建立和伤害敏感性的潜在优势。H.喀斯特)和白桦(Betula pendula Roth)在野外种植了两年以上。研究地点位于瑞典南部(S)、东北部(NE)和西北部(NW)。南区对针叶树的主要破坏因子为松象甲(Hylobius abietis L.),北区对针叶树的主要破坏因子为桦树的啃食和针叶树的啃食。添加AP的效果因位点而异。在S点,尽管松象鼻虫对松树造成了相当大的破坏,但对松树的成活率呈阳性。然而,在S点,AP处理对幸存的云杉和桦树有更多的食用量。在NE点,AP处理对针叶树的生长有积极的影响。在西北样地,添加AP对三种植物的生存和生长都有积极的影响,并且AP处理的幼苗都比未处理的幼苗更少被浏览。AP处理是提高森林更新成功率的潜在工具,特别是在瑞典南部建立松林时。
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引用次数: 0
Increasing access to forest data for enhancing forest benefits to all 增加获得森林数据的机会,以增进所有人的森林利益
3区 农林科学 Q2 FORESTRY Pub Date : 2023-01-01 DOI: 10.14214/sf.23034
Anu Lähteenmäki-Uutela, Salla Rantala, Brent Swallow, Heidi Lehtiniemi, Tuomas Pohjola, Riikka Paloniemi
In this discussion paper, we discuss what benefits Finnish citizens and companies can derive from forest data, and how the benefits of that data depend on rights to forests. Environmental protection, everyone’s forest use, bioeconomy, and tourism may benefit from increased access to forest data. Access to forest data is a democratic right by itself. Forest data allow actors to derive more value from their existing forest rights and may spark demands for clarification or reformulation of forest rights. Transparency of forest data also allows voluntary trade in forest ecosystem services. Increased access to forest data may also contribute to forest-related conflicts, given that various, at times contradictory interests are directed at forests. At best, increased access to forest data and information may support the renewal of forest governance to become more democratic, legitimate, and effective.
在本讨论文件中,我们讨论了芬兰公民和公司可以从森林数据中获得哪些好处,以及这些数据的好处如何取决于森林权利。环境保护、每个人的森林利用、生物经济和旅游业都可能受益于森林数据获取的增加。获取森林数据本身就是一项民主权利。森林数据使行动者能够从其现有森林权利中获得更多价值,并可能引发澄清或重新制定森林权利的要求。森林数据的透明度也使森林生态系统服务的自愿贸易成为可能。更多地获得森林数据也可能助长与森林有关的冲突,因为各种有时相互矛盾的利益都是针对森林的。在最好的情况下,增加对森林数据和信息的获取可能有助于森林治理的更新,使其变得更加民主、合法和有效。
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引用次数: 0
Upper stem diameter and volume prediction strategies in the National Forest Inventory of Finland 芬兰国家森林资源清查中的上茎直径和体积预测策略
3区 农林科学 Q2 FORESTRY Pub Date : 2023-01-01 DOI: 10.14214/sf.23021
Virpi Stenman, Annika Kangas, Markus Holopainen
In forest inventories, field data are needed for the prediction of tree volumes. However, gathering field data requires resources, such as labour, equipment, and data management operations. This means that time and budget, as well as quality, must be carefully considered when National Forest Inventory (NFI) field measurement activities are planned. Therefore, the development of cost efficient, simple, safe and reliable measurement methods and tools are of great interest. To date, upper stem diameter (d6), which provides a more reliable estimation of tree stem volume, has typically been measured with a parabolic calliper. In this study, the performance of the Criterion laser-based dendrometer was examined for d6 measurements. A total of 326 sample trees were measured multiple times with three different measurement instruments. These instruments were used to measure diameter at breast height (dbh) as well as d6 measurements. Bland-Altman plots and measurement error variances were used to determine measurement instrument reliability. For all trees, the standard deviation for the laser based dendrometer was 18.73 mm at dbh and 15.36 mm for the d6 measurements. When the performance of Criterion was analysed with reference to the mean value of repeated measurements, the standard deviation in the dbh measurements was 12.21 mm, and 8.88 mm in the d6 measurements.
在森林清查中,需要实地数据来预测树木的体积。然而,收集现场数据需要人力、设备和数据管理操作等资源。这意味着在规划国家森林清查(NFI)实地测量活动时,必须仔细考虑时间和预算以及质量。因此,开发经济高效、简单、安全可靠的测量方法和工具具有重要意义。迄今为止,茎上直径(d6)通常是用抛物面卡尺测量的,它提供了更可靠的树茎体积估计。在本研究中,对基于激光的Criterion树枝计的性能进行了d6测量。用三种不同的测量仪器对326棵样本树进行了多次测量。这些仪器用于测量胸高(dbh)直径以及d6测量。使用Bland-Altman图和测量误差方差来确定测量仪器的可靠性。对于所有树木,激光测树计的标准偏差为18.73 mm / dbh, d6测量值为15.36 mm。当参照重复测量的平均值分析Criterion的性能时,dbh测量的标准偏差为12.21 mm, d6测量的标准偏差为8.88 mm。
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引用次数: 0
Improved parametrisation of a physically-based forest reflectance model for retrieval of boreal forest structural properties 基于物理的森林反射率模型的参数化改进,用于检索北方森林结构特性
3区 农林科学 Q2 FORESTRY Pub Date : 2023-01-01 DOI: 10.14214/sf.22028
Eelis Halme, Matti Mõttus
Physically-based reflectance models offer a robust and transferable method to assess biophysical characteristics of vegetation in remote sensing. Forests exhibit explicit structure at many scales, from shoots and branches to landscape patches, and hence present a specific challenge to vegetation reflectance modellers. To relate forest reflectance with its structure, the complexity must be parametrised leading to an increase in the number of reflectance model inputs. The parametrisations link reflectance simulations to measurable forest variables, but at the same time rely on abstractions (e.g. a geometric surface forming a tree crown) and physically-based simplifications that are difficult to quantify robustly. As high-quality data on basic forest structure (e.g. tree height and stand density) and optical properties (e.g. leaf and forest floor reflectance) are becoming increasingly available, we used the well-validated forest reflectance and transmittance model FRT to investigate the effect of the values of the “uncertain” input parameters on the accuracy of modelled forest reflectance. With the state-of-the-art structural and spectral forest information, and Sentinel-2 Multispectral Instrument imagery, we identified that the input parameters influencing the most the modelled reflectance, given that the basic forestry variables are set to their true values and leaf mass is determined from reliable allometric models, are the regularity of the tree distribution and the amount of woody elements. When these parameters were set to their new adjusted values, the model performance improved considerably, reaching in the near infrared spectral region (740–950 nm) nearly zero bias, a relative RMSE of 13% and a correlation coefficient of 0.81. In the visible part of the spectrum, the model performance was not as consistent indicating room for improvement.
基于物理的反射率模型为遥感评估植被生物物理特征提供了一种可靠且可转移的方法。森林在许多尺度上都表现出明确的结构,从嫩枝到景观斑块,因此对植被反射率建模者提出了具体的挑战。为了将森林反射率与其结构联系起来,必须对其复杂性进行参数化,从而增加反射率模型输入的数量。参数化将反射率模拟与可测量的森林变量联系起来,但同时依赖于抽象(例如,形成树冠的几何表面)和基于物理的简化,难以可靠地量化。随着森林基本结构(如树高和林分密度)和光学特性(如树叶和森林地面反射率)的高质量数据越来越多,我们使用经过验证的森林反射率和透射率模型FRT来研究“不确定”输入参数值对模拟森林反射率精度的影响。利用最先进的森林结构和光谱信息以及Sentinel-2多光谱仪器图像,我们发现,在基本林业变量设置为其真实值且叶片质量由可靠的异速生长模型确定的情况下,对模型反射率影响最大的输入参数是树木分布的规律性和木本元素的数量。当这些参数设置为新的调整值时,模型性能得到了显著提高,在近红外光谱区域(740 ~ 950 nm)接近零偏差,相对RMSE为13%,相关系数为0.81。在光谱可见部分,模型性能不一致,表明有改进的余地。
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引用次数: 1
Understanding uncertainty in forest resources maps 了解森林资源图中的不确定性
3区 农林科学 Q2 FORESTRY Pub Date : 2023-01-01 DOI: 10.14214/sf.22026
Annika Kangas, Mari Myllymäki, Lauri Mehtätalo
Maps of forest resources and other ecosystem services are needed for decision making at different levels. However, such maps are typically presented without addressing the uncertainties. Thus, the users of the maps have vague or no understanding of the uncertainties and can easily make wrong conclusions. Attempts to visualize the uncertainties are also rare, even though the visualization would be highly likely to improve understanding. One complication is that it has been difficult to address the predictions and their uncertainties simultaneously. In this article, the methods for addressing the map uncertainty and visualize them are first reviewed. Then, the methods are tested using laser scanning data with simulated response variable values to illustrate their possibilities. Analytical kriging approach captured the uncertainty of predictions at pixel level in our test case, where the estimated models had similar log-linear shape than the true model. Ensemble modelling with random forest led to slight underestimation of the uncertainties. Simulation is needed when uncertainty estimates are required for landscape level features more complicated than small areas.
不同层次的决策需要森林资源和其他生态系统服务的地图。然而,这样的地图通常没有解决不确定性。因此,地图的使用者对不确定性的理解是模糊的,或者根本不了解,很容易得出错误的结论。将不确定性形象化的尝试也很少,尽管形象化很有可能提高理解。一个复杂的问题是,很难同时处理这些预测及其不确定性。本文首先综述了地图不确定性的处理方法和可视化方法。然后,用模拟响应变量值的激光扫描数据对这些方法进行了测试,以说明它们的可行性。在我们的测试用例中,分析克里格方法捕获了像素级别预测的不确定性,其中估计模型具有与真实模型相似的对数线性形状。随机森林的集合模型导致了对不确定性的轻微低估。当需要对比小区域更复杂的景观水平特征进行不确定性估计时,需要进行模拟。
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引用次数: 2
Palatability of Norway spruce needles infected with Lophodermium piceae to larvae of two sawfly species 两种锯蝇侵染挪威云杉针叶的适口性
3区 农林科学 Q2 FORESTRY Pub Date : 2023-01-01 DOI: 10.14214/sf.23026
Michael M. Müller, Leena Hamberg, Martti Varama
Unequivocal evidence on the antagonistic effects of endophytic fungi associated with woody plants against insect herbivores has been documented in only a few cases so far. Experimental evidence of the significance of needle endophytes to coniferous trees has remained scant because it is difficult to obtain trees with needles free of endophytes that could be used as comparable controls for trees infected with endophytes. Previously we reported a new methodology to get Norway spruce (Picea abies (L.) Karst.) saplings without needle endophytes and to inoculate them with a needle endophyte Lophodermium piceae (Fuckel) Höhn. Here we describe the first trial where spruce saplings with and without needle endophytes were provided as substrate for insect larvae. We transferred larvae of two sawfly species, Neodiprion sertifer Geoffroy and Gilpina pallida Klug, to the seedlings. Even though the main host of these sawfly species is not Norway spruce, but Scots pine (Pinus sylvestris L.), they are also known to occasionally feed on spruce. In this experiment the larvae did not develop to pupae with the provided spruce substrate but consumed measurable amounts of needles. No significant difference was found between the extent of needles consumed by either of the two sawfly species in inoculated and uninoculated saplings.
关于木本植物内生真菌对昆虫食草动物的拮抗作用的明确证据迄今仅在少数案例中得到记录。针叶内生菌对针叶树的重要性的实验证据仍然很少,因为很难获得没有内生菌的针叶树木,这些树木可以用作感染内生菌的树木的可比对照。以前我们报道了一种新的方法获得挪威云杉(Picea abies (L.))。喀斯特(岩溶)幼树,没有针状内生菌,并用针状内生菌Lophodermium piceae (Fuckel) Höhn接种它们。在这里,我们描述了第一次试验,其中云杉树苗有针状内生菌和没有针状内生菌作为昆虫幼虫的基质。我们将两种锯蝇(Neodiprion sertifer Geoffroy)和Gilpina pallida Klug)的幼虫转移到幼苗上。尽管这些锯蝇的主要宿主不是挪威云杉,而是苏格兰松(Pinus sylvestris L.),但它们偶尔也以云杉为食。在这个实验中,幼虫没有在提供的云杉基质上发育成蛹,但消耗了可测量数量的针叶。两种锯蝇对接种苗和未接种苗的针叶消耗程度无显著差异。
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引用次数: 0
Passion for science 热爱科学
IF 1.8 3区 农林科学 Q2 FORESTRY Pub Date : 2023-01-01 DOI: 10.14214/df.23043
A. Lintunen
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引用次数: 0
A stand level scenario model for the Norwegian forestry – a case study on forest management under climate change 挪威林业林分水平情景模型——气候变化下森林管理的案例研究
3区 农林科学 Q2 FORESTRY Pub Date : 2023-01-01 DOI: 10.14214/sf.23019
Victor Strîmbu, Tron Eid, Terje Gobakken
Carbon sequestration and income generation are competing objectives in modern forest management. The climate commitments of many countries depend on forests as carbon sinks which must be quantified, monitored, and projected into the future. For projections we need tools to model forest development and perform scenario analyses to assess future carbon sequestration potentials under different management regimes, the expected net present value of such regimes, and possible impacts of climate change. We propose a scenario analysis software tool (GAYA 2.0) that can assist in answering these types of questions using stand level simulations, detailed carbon flow models and an optimizer. This paper has two objectives: (1) to describe GAYA 2.0, and (2) demonstrate its potential in a case study where we analyze the forest carbon balance over a region in Norway based on national forest inventory sample plots. The tool was used to map the optimality front between the carbon benefit and net present value. We observed changes in net present value for different levels of carbon benefit as well as changes in optimal management strategies. We predicted future changes in several forest carbon pools as well as albedo and illustrated the impact of gradual increase in forest productivity (i.e., due to climate warming). Having been updated and modernized from its previous version with increased attention to forest carbon and energy fluxes, GAYA 2.0 is an effective tool that offers multiple opportunities to perform various types of scenario analyses in forest management.
固碳和创收是现代森林管理中相互竞争的目标。许多国家的气候承诺依赖森林作为碳汇,必须对其进行量化、监测和对未来的预测。在预测方面,我们需要工具来模拟森林发展并进行情景分析,以评估不同管理制度下的未来固碳潜力、这些制度的预期净现值以及气候变化的可能影响。我们提出了一个情景分析软件工具(GAYA 2.0),它可以通过林分模拟、详细的碳流模型和优化器来帮助回答这些类型的问题。本文有两个目标:(1)描述GAYA 2.0,(2)在一个案例研究中展示其潜力,我们基于国家森林清查样地分析了挪威一个地区的森林碳平衡。该工具用于绘制碳效益和净现值之间的最优前沿。我们观察到不同碳效益水平的净现值变化以及最优管理策略的变化。我们预测了几个森林碳库以及反照率的未来变化,并说明了森林生产力逐渐增加(即由于气候变暖)的影响。GAYA 2.0比以前的版本更新和现代化,更加关注森林碳和能量通量,是一个有效的工具,为在森林管理中进行各种类型的情景分析提供了多种机会。
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引用次数: 0
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