Ten years of contested enforcement of the Forest Law in Salta,Argentina. The role of land-change science and political ecology

ABSTRACT

In this study, we present a critical account of the enforcement of the Forest Law in the Province of Salta, Argentina. We discuss whether the objectives of this law were accomplished and we analyze the role that some technical tools, coupled with specific theoretical approaches, could play in its future enforcement. We illustrate our analysis with data from a case study in the Chaco region of this Province. We identified, mapped and analyzed land claims by indigenous communities and small-scale agricultural producers, and large-scale land acquisitions, and we discuss how these two variables could be used to improve the technical accuracy and the social legitimacy of the zoning map required by the Forest Law. We conclude that a balanced combination of land-change science methods and political ecology can be useful to improve the fairness of decision-making processes and the sustainability of social-environmental governance in agricultural frontiers.     

Produced natures through the lens of biodiversity conservation and tourism: the Ponta Negra Caiçara in the Atlantic Forest Coast of Brazil

Understanding nature as an outcome of organising discourses generated through relative experiences of our surroundings has been the groundwork of a political ecology that deals with the distribution of environmental justice among people with different degrees of power. In this paper, we examine how the environmental legislation and the tourism industry have constructed the term Caiçara as a way to categorise the inhabitants of the Atlantic Forest Coast of Brazil, in ways that meet their goals, but in turn occludes the discourse of the Caiçara themselves. Ethnographic research conducted in Ponta Negra, a small coastal community located at the heart of the Juatinga Ecological Reserve (Paraty, Rio de Janeiro State), as well as a review of key legislation, management plans and tourism materials form the empirical basis of this research. First, we offer a critical examination of the historical origin of the term Caiçara. We then compare contradictory ideas of Caiçara produced by Brazilian environmental legislation and the tourism industry. While the environmental legislation has characterised the Caiçara as fallen angels who are no longer conservation allies, the tourism industry has profited by selling them as ecologically noble savages who still live in harmony with the environment. Our analysis shows how Ponta Negra people have become objects of powerful discourses of nature that hinder the recognition of their collective rights and weaken their position to negotiate for their own desires and aspirations related to their identity and livelihoods.     

Quantifying ecological thresholds from response surfaces

Ecological thresholds are abrupt changes of ecological state. While an ecological threshold is a widely accepted concept, most empirical methods detect them in time or across geographic space. Although useful, these approaches do not quantify the direct drivers of threshold response. Causal understanding of thresholds detected empirically requires their investigation in a multi-factor domain containing the direct drivers (often referred to as state space). Here, we present an approach to quantify thresholds from response surfaces modeled empirically in state space. We present two indices of shape attributes measured from response surfaces. The response surfaces are built using a regression method in state space. The indices are threshold strength (T) and diagonality (D). We use 48 simulated response surfaces of different shapes to test the efficacy of the indices in 3D. Our results show that T is sensitive to the steepness of the transition from one state to the next, with various forms of abrupt, centralized thresholds yielding the highest values among the simulated surfaces. D represents the orientation of the response surface or the simultaneous influence of more than one predictor in eliciting the response gradient. Strongly diagonal surfaces have the most diagonal surface area demonstrated by sharply undulating diagonal surfaces. Given that the success of T and D requires a regression method to accurately capture any shape of complex data structure, we also test the accuracy of empirical regression methods known to be tractable with complex data. We test classification and regression trees (CART), Random Forest, and non-parametric multiplicative regression (NPMR) for binary and continuous responses. We use the 48 simulated response surfaces to test the methods, and we find that prediction accuracy depends on both the T and D of the simulated data for each method. We choose the most accurate method among those we test for capturing any shape of response surface from real data, NPMR. Finally, we use NPMR to build response surfaces and quantify T and D from real ecological data sets. We demonstrate how measuring threshold strength and diagonality from multi-factor response surfaces can advance ecology.     

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.     

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.     

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。     

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。     

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.