Efficient thinning regimes for Eucalyptus fastigata: Multi-objective stand-level optimisation using the island model genetic algorithm

A stand-level optimisation problem formulated to determine a set of efficient thinning regimes satisfying two objectives, i.e. value production for sawlog harvesting and volume production for a pulpwood market, was demonstrated for a Eucalyptus fastigata trial in Kaingaroa Forest, New Zealand. Genetic algorithms were used to estimate the set of efficient thinning regimes (i.e. regimes that occur when it is not possible to increase the achievement of one objective without reducing another) known as a Pareto frontier. Each thinning regime specified a unique combination of initial planting density; frequency, timing and intensity of thinning; final crop number; and rotation length. Specifications for the “best” regime in the Pareto set (i.e. the one that satisfied a balanced trade-off between value and volume production) were similar to those recommended through professional judgment based on pooled long-term field observations from different eucalypt species grown throughout New Zealand. The advantage of Pareto optimality was the ability of not only identifying a unique thinning regime, but equally efficient regimes each providing a different combination of value and volume production. Research on this approach has the potential of being applied to other forest sites, providing there is sufficient re-measurement data to reflect stand growth dynamics.     

Influences of canopy structure and physiological traits on flux partitioning between understory and overstory in an eastern Siberian boreal larch forest

Boreal forests play an important role in the global balance of energy and CO₂. Our previous study of elaborate eddy covariance observations in a Siberian boreal larch forest, conducted both above the forest canopy and at the forest floor, revealed a significant contribution of latent heat flux (LE) from the cowberry understory to the whole ecosystem LE. Thus, in the present study, we examined what factors control the partitioning of whole ecosystem LE and CO₂ flux into the understory and overstory vegetation, using detailed leaf-level physiology (for both understory and overstory vegetation) and soil respiration property measurements as well as a multilayer soil-vegetation-atmosphere transfer (SVAT) model. The modeling results showed that the larch overstory's leaf area index (LAI) and vertical profile of leaf photosynthetic capacity were major factors determining the flux partitioning in this boreal forest ecosystem. This is unlike other forest ecosystems that tend to have dense LAI. We concluded that control of the larch overstory's LAI had a relationship with both the coexistence of the larch with the cowberry understory and with the water resources available to the total forest ecosystem.     

冰雪灾害对川南森林可燃物的影响

冰雪灾害是影响森林的一个重要气象干扰因素,并会引起生态系统中其他次生干扰。研究冰雪灾害对森林可燃物的影响,提出可行的灾后可燃物管理技术将为今后应对类似的极端气候事件提供科学依据。基于对川南典型森林雪灾后受损情况调查,定量分析雪灾对各类可燃物的影响。按不同森林类型和受灾强度测定林分基本特征和各类可燃物载量,地表可燃物载量调查采用线状相交可燃物调查方法。结果表明：森林受害程度与树种、林龄、海拔、地形等因素有关,针叶林和针阔混交林树冠受损程度为5%~45%,阔叶林树冠受损程度为3%~8%。雪灾引起的主要是较大径级可燃物载量显著增加,径级≥7.0cm的可燃物占可燃物增量的48%~100%。灾后阔叶林地表径级可燃物载量达1.75 kg/m2,其他林分为0.18kg/m2~0.55 kg/m2。雪灾还改变可燃物空间分布,大量断枝和折断树干增加了可燃物垂直分布连续性,地表火更容易发展为树冠火。受灾严重的林分郁闭度下降,也会引起林下草本增加,有利于火灾的发生与发展。建议对受灾林分的地表可燃物清理以人工或机械清理为主。     

大贵寺国家森林公园野生青檀居群的遗传多样性

利用ISSR分子标记技术对湖北省大贵寺国家森林公园野生青檀（Pteroceltis tatarinowii Maxim．）居群进行遗传多样性分析。用11条ISSR引物对6个青檀居群64个样品进行扩增,扩增片段长度在200bp至3000bp之间,检测到179个位点,其中多态位点165个,多态位点百分率（P）为92．14％。青檀在物种水平上的Nei基因多样性指数（胁）和Shannon信息指数∽分别为0．273和0．423,在居群水平上分别为0．225和0．343,显示出青檀有着较高的遗传多样性。居群间的遗传分化系数（Gsr）为0．192,表明青檀居群间存在着较大的遗传分化;UPGMA聚类分析表明遗传距离与海拔差距有一定的相关性,相邻海拔的青檀居群间遗传距离较近。不同海拔导致的异质生境可能是影响青檀居群遗传分化的主要原因。     

Contemporary forest loss in Myanmar: Effect of democratic transition and subsequent timber bans on landscape structure and composition

This study addresses the effect of political transition and subsequent timber bans on forest loss in Myanmar, in the context of identified drivers. Cook’s Distance (CD) was applied to remotely sensed time-series forest loss dataset to measure the effect of the events. Forest loss derived fragmentation metrics were linked to drivers at a landscape scale. Results show that at the national level, the political transition in 2011 had maximum effect (CD 0.935) on forest loss while the timber bans decreased forest loss by 612.04 km² and 213.15 km² in 2015 and 2017 (CD 0.146 and 0.035), respectively. The effect of the events varied for different States/Regions. The dominant drivers of change shifted from plantations in 2011 to infrastructure development in 2015. This study demonstrates the effects of policy on forest loss at various scales and can inform decision-makers for forest conservation, planning and development of mitigation measures.     

The Misdiagnosis: Rethinking “Nature-deficit Disorder”

This study examines and critiques “nature-deficit disorder” (NDD), Richard Louv's popular theory of how and why children are alienated from nature. Specifically, I explore NDD within the context of one forest conservation education program that aligns with and operationalizes Louv's message. Underlying Louv's and forest educators' discourses are culturally specific assumptions about human-nature relationships. Both evoke a fall-recovery narrative—that children are separated from nature and must return—and promote science and naming to reconnect. I argue that, in the absence of deeper cultural examination and alternative practices, NDD is a misdiagnosis—a problematic contemporary environmental discourse that can obscure and mistreat the problem. I call on adults to rethink human-nature disconnectedness by returning to the psyche, digging deeper to the problem's cultural roots, and using nontraditional communication practices such as emotional expression and non-naming.     

Climate change adaptation and regional forest planning in southern Yukon,Canada

Recent interest in sustainable forest management planning in the Yukon has coincided with growing public awareness of climate change, providing an opportunity to explore how forestry plans are incorporating climate change. In this paper, the Strategic Forest Management Plans for the Champagne and Aishihik First Nations Traditional Territory (CATT) and the Teslin Tlingit Traditional Territory (TTTT) are examined for evidence of adaptation to climate change. For each plan, management policies and practices that are also recognized as ways to adapt to climate change are identified to provide information on the incremental costs and benefits of additional adaptation efforts. A typology for classifying sustainable forest management plans according to how they address climate change is proposed and applied to the CATT and TTTT plans. This typology, which may be useful to any future retrospective assessments on how successful these or other sustainable forest management plans have been in addressing and managing the risks posed by climate change, consists of a matrix that categorizes plans into one of four types; (1) proactive-direct, (2) proactive-indirect, (3) reactive-direct, and (4) reactive-indirect. Neither of the plans available for the southern Yukon explicitly identifies climate change vulnerabilities and actions that will be taken to reduce those vulnerabilities and manage risks. However, both plans have incorporated some examples of ‘best management practices’ for sustainable forest management that are also consistent with appropriate climate adaptation responses. Even in a jurisdiction facing rapid ecological changes driven by climate change, where there is a relatively high level of awareness of climate change and its implications, forestry planning processes have yet to grapple directly with the risks that climate change may pose to the ability of forest managers to achieve the stated goals and objectives of sustainable forest management plans.

Cattle manure biochar and earthworm interactively affected CO2 and N2O emissions in agricultural and forest soils: Observation of a distinct difference

• Earthworms increase CO₂ and N₂O emissions in agricultural and forest soil. • 10% biochar suppresses CO₂ and N₂O emissions in forest soil. • Biochar interacted with earthworm to significant affect CO₂ and N₂O emissions. The application of manure-derived biochar offers an alternative to avoid the direct application of manure to soil causing greenhouse gas emission. Soil fauna, especially earthworms, can markedly stimulate carbon dioxide (CO₂) and nitrous oxide (N₂O) emissions from soil. This study therefore investigated the effect of cattle manure biochar (added at rates of 0, 2%, or 10%, coded as BC0, BC2 and BC10, respectively) application, with or without earthworm Aporrectodea turgida, on emissions of CO₂ and N₂O and changes of physic-chemical properties of agricultural and forest soils in a laboratory incubation experiment. The BC10 treatment significantly enhanced cumulative CO₂ emissions by 27.9% relative to the untreated control in the agricultural soil. On the contrary, the BC2 and BC10 treatments significantly reduced cumulative CO₂ emissions by 16.3%–61.1% and N₂O emissions by 92.9%–95.1% compared to the untreated control in the forest soil. The addition of earthworm alone significantly enhanced the cumulative CO₂ and N₂O fluxes in agricultural and forest soils. Cumulative CO₂ and N₂O fluxes were significantly increased when BC2 and BC10 were applied with earthworm in the agricultural soil, but were significantly reduced when BC10 was applied with earthworm in the forest soil. Our study demonstrated that biochar application interacted with earthworm to affect CO₂ and N₂O emissions, which were also dependent on the soil type involved. Our study suggests that manure biochar application rate and use of earthworm need to be carefully studied for specific soil types to maximize the climate change mitigation potential of such management practices.     

基于环境磁学响应监测林地土壤中金属元素

采集并测试广州市林地土壤样品600余组,分析土壤中As、Cr、Cd、Hg、Cu、Pb、Zn、Ni和磁学性质的相关性。结果表明：土壤磁性颗粒以软磁性矿物为主,北部以超顺磁、多畴颗粒为主,南部以单畴、多畴颗粒为主。相关性分析表明：北部Cu、Ni、Cr、Cd与较粗的磁性颗粒共存,Cd与软磁性矿物共存,As与超顺磁颗粒共存且为自然源;南部相关关系不显著,Ni和As来源为人为源;不同污染程度土壤回归方程相关系数均较好,南部深〖CD*2〗浅层回归方程证明上述8种元素和磁性相关性不受自然来源或人类活动影响。