Drivers Of Deforestation Research Articles

Impact of coal mining on land use changes, deforestation, biomass, and C losses in Central India: Implications for offsetting CO2 emissions

AbstractDespite the continuous growth in renewable sources of energy, coal remains the primary source of energy security in developing countries and accounted for 1.1 Gt of CO2 annually. The present study was conducted to examine the dynamic land cover changes, deforestation, and carbon (C) emissions in the mined landscape of Central India. Geospatial techniques coupled with field measurements were conjunctively employed for quantifying land use and vegetation changes from the period of 2001 to 2020. The unchecked mining (6.4–30 km2) along with the rapid expansion of agriculture (586.7–642.5 km2) were identified as major drivers of deforestation, which resulted in the net loss of 115.3 km2 area under intact sal (Shorea robusta) dominated forest. The mining and associated activities increased the fragmentation of intact forest that had not only decreased density, basal area, and diversity of vegetation but also a huge loss of biomass of ~2.5 Tg that contributed to a net loss of 1.08 Tg C (~3.98 Tg of CO2) in the past 20 years. The study explored the use of land management options and confirmed that C offset ensued from land use changes without hampering coal production for the next two decades. The scenarios will provide valuable information to the policymakers for devising sustainable coal mining by underpinning the ecological compensation for deforestation while promoting cleaner production technologies through decarbonization to counteract emissions, which could help in achieving ambitious goals set by India for planned C reduction targets as Intended Nationally Determined Commitments under the Paris Agreement (2015).

Trade-off between forest conservation and agricultural expansion in Gura-ferda district, Southwest Ethiopia

Agricultural expansion is one of the main drivers of deforestation in Ethiopia. This study was therefore carried out to examine the trade-off between forest and agricultural land uses in Guraferda district, southwest Ethiopia. Data to estimate economic values of land use were derived from the household surveys, key informant interviews, and focus group discussions. The household surveys were carried out in four purposively selected kebeles. Within the selected Kebeles, a total of 186 sample households were selected randomly. In addition, this study used Remote Sensing (RS) to detect and quantify LULC changes that occurred in the district throughout a thirty-year study period. The study employed by Excel 2013 for solving a cost –benefit analysis and ERDAS Imagine 9.1 for image processing. The finding revealed that an expansion of agriculture/settlement and shrinkage of forest and shrub land over the last thirty-year. The forest and shrub land use decreased by 0.43 and 2.42% ha year-1, respectively, whereas agriculture/settlement and grassland increased by 9.1 and 0.64% ha year-1, respectively over the same period. The deforestation rate is estimated at 425 ha year-1 in the study area. Analysis of trade-off provides estimated forgone earnings of about ETB 79,138 ETB (1665.3 USD ha-1) and ETB 258,298.10 (5,435.5 USD ha-1) from forest conservation and crop production, respectively assuming a 20-year planning horizon and a 10% discount rate. The 425 ha of annual deforestation entails a loss of ETB 33,633,650 (707,779 USD year-1) from forest conservation and a gain of 109,776,692.5 ETB (2,310,115.5 USD) agricultural activity. Int. J. Agril. Res. Innov. Tech. 12(1): 45-55, June 2022

An analysis of fire dynamics in and around indigenous territories and protected areas in a Brazilian agricultural frontier

Sustainable land management is integral to conserving tropical ecosystems and reducing carbon emissions. Human-set fires are part of the land cover change process and are the most common driver of deforestation and carbon emissions in Amazonia. Analyzing the behavior of major fire events provides insight into the effectiveness of current protections. This study aims to quantify the role of Indigenous Territories and Protected Areas (ITPAs) in characterizing anthropogenic fire regimes over the 2020 fire season in Mato Grosso, Brazil. Because of the rapid rate of land cover change and lack of widespread ground validation data in the region, we used a combination of ESA’s Sentinel-5 Precursor Aerosol Index, NASA’s Visible Infrared Imaging Radiometer Suite, and high resolution Planet satellite imagery for the Monitoring of the Andean Amazon Project to analyze spatial and temporal patterns by fire type. ITPAs cover 25% of the study area’s land and contained approximately 20% of significant recorded fires in 2020. Recently deforested areas, forest, grassland, and cropland fires showed varying seasonality and lower frequencies inside ITPAs, but mean fire start dates for all fire types occurred in mid-September. Results suggest that the overall density of major fires is reduced in ITs. PAs only inhibit the density of crop or pastureland fires, but no major fires occurred past 10 km inside their borders. Burn severity of major fires had a weak relationship to distance from ITPAs for some fire types. This study highlights the advantages of near real-time data for individual fire events, provides further evidence of the effect of ITPAs on fire behavior, and demonstrates the importance of adequate protection strategies for mitigating fire activity.

Using an unmanned aerial system to analyse environmental impacts of charcoal production on tropical savanna ecosystems in northwestern Kenya

In many regions of Sub-Saharan Africa, charcoal plays an important role as energy source but is widely perceived as a major driver of deforestation and forest degradation. This narrative, however, is mostly based on research within primary production regions. Though space-borne remote sensing applications can be useful in monitoring such large-scale production modes, environmental effects of household-level production are less easy to assess. Therefore, the present study employs an unmanned aerial system (UAS) to assess the impact of small-scale charcoal production on the vegetation density in the immediate vicinity of production sites. The UAS data was complemented by field measurements and very high-resolution WordView-2 satellite imagery. This approach revealed only small differences between charcoal production sites and reference plots which were usually evened out after 20–25-m distance to the plot centre using a concentric ring analysis. Results further show that a distinction between different land-use practices is difficult, even with the high spatial resolution provided by a UAS. Thus, more research and new approaches are needed to evaluate the role of small-scale charcoal production in deforestation and forest degradation processes against the background of other human activities. However, to exploit the full potential of UAS for monitoring environmental effects in charcoal producing areas, official regulations need to be clearer and more reliable.

Spatial modelling of deforestation-related factors in the Brazilian semi-arid biome

ABSTRACT The Caatinga biome is the largest and wettest semi-arid environment globally, occupying 10% of the Brazilian territory. Half of the original vegetation from the Caatinga has already been deforested. This research aims to identify the factors associated with Caatinga deforestation (2010–2016). Therefore, the researchers used Geographically Weighted Regression to analyse the drivers of deforestation at the municipal level. Our results showed that five factors are crucial for understanding the spatial variability of deforestation in the Caatinga biome: agricultural credit, cattle, goats, distance from roads, and mining activities. The results were interpreted carefully since the semi-arid Biome is marked by regional asymmetries, mixing subsistence agriculture with agribusiness (MATOPIBA and Vale do Rio São Francisco). The outcome maps allow us to discuss the implication of spatial arrangements and intervention policies towards sustainability.

END-PERMIAN BURNOUT: THE ROLE OF PERMIAN–TRIASSIC WILDFIRES IN EXTINCTION, CARBON CYCLING, AND ENVIRONMENTAL CHANGE IN EASTERN GONDWANA

ABSTRACTWildfire has been implicated as a potential driver of deforestation and continental biodiversity loss during the end-Permian extinction event (EPE; ∼ 252 Ma). However, it cannot be established whether wildfire activity was anomalous during the EPE without valid pre- and post-EPE baselines. Here, we assess the changes in wildfire activity in the high-latitude lowlands of eastern Gondwana by presenting new long-term, quantitative late Permian (Lopingian) to Early Triassic records of dispersed fossil charcoal and inertinite from sediments of the Sydney Basin, eastern Australia. We also document little-transported fossil charcoal occurrences in middle to late Permian (Guadalupian to Lopingian) permineralized peats of the Lambert Graben, East Antarctica, and Sydney and Bowen basins, eastern Australia, indicating that even vegetation of consistently moist high-latitude settings was prone to regular fire events. Our records show that wildfires were consistently prevalent through the Lopingian, but the EPE demonstrates a clear spike in activity. The relatively low charcoal and inertinite baseline for the Early Triassic is likely due in part to the lower vegetation density, which would have limited fire spread. We review the evidence for middle Permian to Lower Triassic charcoal in the geosphere, and the impacts of wildfires on sedimentation processes and the evolution of landscapes. Moreover, we assess the evidence of continental extinction drivers during the EPE within eastern Australia, and critically evaluate the role of wildfires as a cause and consequence of ecosystem collapse. The initial intensification of the fire regime during the EPE likely played a role in the initial loss of wetland carbon sinks, and contributed to increased greenhouse gas emissions and land and freshwater ecosystem changes. However, we conclude that elevated wildfire frequency was a short-lived phenomenon; recurrent wildfire events were unlikely to be the direct cause of the subsequent long-term absence of peat-forming wetland vegetation, and the associated ‘coal gap' of the Early Triassic.

Investigating sacred natural sites and protected areas for forest area changes in Italy

AbstractForests will be critical to mitigate the effects of climate and global changes. Therefore, knowledge on the drivers of forest area changes are important. Although the drivers of deforestation are well known, drivers of afforestation are almost unexplored. Moreover, protected areas (PAs) effectively decrease deforestation, but other types of area‐based conservation measures exist. Among these, sacred natural sites (SNS) deliver positive conservation outcomes while making up an extensive “shadow network” of conservation. However, little is known on the capacity of SNS to regulate land‐use changes. Here, we explored the role of SNS and PAs as drivers of forest loss and forest gain in Italy between 1936 and 2018. We performed a descriptive analysis and modeled forest gain and forest loss by means of spatial binomial generalized linear models with residual autocovariates. The main drivers of forest area changes were geographical position and elevation, nonetheless SNS and PAs significantly decreased forest loss and increased forest gain. Although the negative relationship between SNS and forest loss is a desirable outcome, the positive relationship with forest gain is concerning because it could point to abandonment of cultural landscapes with consequent loss of open habitats. We suggest a legal recognition of SNS and an active ecological monitoring and planning to help maintain their positive role in biodiversity conservation. As a novel conservation planning approach, SNS can be used as stepping stones between PAs increasing connectivity and also to conserve small habitat patches threatened by human activities.

Assessment of rate and drivers of deforestation and forest degradation in the lower-tropical region: a case of Punarbas Municipality, Nepal

Deforestation and forest degradation (D and D), the most imminent threats to the survival of species and the viability of forests as a whole, is crucial to research its rate, as well as the underlying causes. The present study examined the rate and drivers that contribute to D and D in the Punarbas municipality of Kanchanpur district, Nepal. With the help of ArcGIS 10.8, an overall pattern and rate of D and D in the study area was identified using Land Satellite images from two different years (2000 AD and 2019 AD). 11 focus group discussions and 120 household surveys were carried out to collect data on key drivers of D and D. For data collection, stratified random sampling with a sampling intensity of 1% was used, and the Friedman test was applied for one-way repeated measures analysis of drivers by ranks. The study found that the annual rate of D and D of the study area from 2000 to 2019 AD was 0.63% and the major drivers were infrastructure development followed by illegal logging, agricultural expansion, livestock grazing forest fire, fuelwood collection, settlement/ resettlement, alien invasive species, and flood and landslide. Awareness programs are highly suggested to uplift the understanding level of local people, so they can act for themselves in the conservation of their local forest and ecosystem resources.

Maintaining grass coverage increases methane uptake in Amazonian pastures, with a reduction of methanogenic archaea in the rhizosphere

Cattle ranching is the largest driver of deforestation in the Brazilian Amazon. The rainforest-to-pasture conversion affects the methane cycle in upland soils, changing it from sink to source of atmospheric methane. However, it remains unknown if management practices could reduce the impact of land-use on methane cycling. In this work, we evaluated how pasture management can regulate the soil methane cycle either by maintaining continuous grass coverage on pasture soils, or by liming the soil to amend acidity. Methane fluxes from forest and pasture soils were evaluated in moisture-controlled greenhouse experiments with and without grass cover (Urochloa brizantha cv. Marandu) or liming. We also assessed changes in the soil microbial community structure of both bare (bulk) and rhizospheric pasture soils through high throughput sequencing of the 16S rRNA gene, and quantified the methane cycling microbiota by their respective marker genes related to methane generation (mcrA) or oxidation (pmoA). The experiments used soils from eastern and western Amazonia, and concurrent field studies allowed us to confirm greenhouse data. The presence of a grass cover not only increased methane uptake by up to 35% in pasture soils, but also reduced the abundance of the methane-producing community. In the grass rhizosphere this reduction was up to 10-fold. Methane-producing archaea belonged to the genera Methanosarcina sp., Methanocella sp., Methanobacterium sp., and Rice Cluster I. Further, we showed that soil liming to increasing pH compromised the capacity of forest and pasture soils to be a sink for methane, and instead converted formerly methane-consuming forest soils to become methane sources in only 40–80 days. Liming reduced the relative abundance of Beijerinckiacea family in forest soils, which account for many known methanotrophs. Our results demonstrate that pasture management that maintains grass coverage can mitigate soil methane emissions, compared to bare (bulk) pasture soil.

REDD+ Strategy for forest carbon sequestration in India

Deforestation and forest degradation due to land use, land cover change (LULCC) have become one of the prime contributors to global greenhouse gas (GHG) emissions, after fossil fuel combustion. Greenhouse gas emission from forestry is occurring in the atmosphere as a result of forest biomass combustion, forest fires and decomposition of deadwood materials. This is how increasing carbon dioxide in the atmosphere is adding to the global warming and climate change. Many worldwide recognized studies have measured that forest ecosystems have the capacity to absorb more than 1/3rd of total carbon dioxide from the atmosphere which is the minimum requirement for keeping the atmospheric temperature under 2 °C by 2030. One of the commonly accepted methods for reducing carbon is carbon sequestration through forests. India has committed to capture 2.5 to 3 billion tonnes of CO2 by enhancing forest and tree cover through 2030. To achieve this target, India has adopted REDD+ (Reducing Emissions from Deforestation and Forest Degradation) strategy which aims to mitigate climate change by enhancing forest carbon sequestration through incentivizing forest conservation. Furthermore, this strategy strives to address the drivers of forest degradation and deforestation and also provides a roadmap for forest carbon stocks enhancement and sustainable forest management through REDD+ actions. This study investigates REDD+ contribution against global warming and climate change in India through forest carbon sequestration.

Spatiotemporal analysis of deforestation patterns and drivers reveals emergent threats to tropical forest landscapes

As deforestation breaches into new tropical frontiers, proactive conservation strategies require a trifecta of information on where deforestation is accelerating (emergent), how drivers of deforestation vary spatiotemporally, and where to focus limited conservation resources in protecting the most integral yet threatened forested landscapes. Here we introduce Emergent Threat Analysis, a process integrating Emerging Hot Spot Analysis of deforestation, visual classification of deforestation outcomes over time, and spatial quantification of contemporary forest condition. We applied Emergent Threat Analysis to tropical Southeast Asia, a global epicentre of biodiversity threatened by deforestation. We found that emergent hot spots (EHS)—a subset of hot spots characterized by strong, recent, and clustered patterns of deforestation—accounted for 26.1% of total forest loss from 1992 to 2018, with deforestation within EHS proceeding at 2.5 times the regional rate of gross loss. Oil palm and rubber plantation expansion were the principal drivers of deforestation within EHS of insular and mainland SE Asia, respectively. Over the study period, oil palm shifted in importance from Sumatra and Sarawak to Papua and Kalimantan, whereas rubber became prominent in Cambodia and Tanintharyi from 2006 to 2015. As of 2019, more than 170 000 km2 of SE Asia’s remaining forest occurred within EHS, of which 21.7% was protected. High and medium-integrity forest constituted 19.2% and 49.1% of remaining EHS forest, respectively, but of these, 35.0% of high-integrity and 23.9% of medium-integrity EHS forest were protected. Because we anticipate that tree plantation expansion will continue to drive deforestation in SE Asia, significantly heightened protection is needed to secure the long-term preservation of high and medium-integrity forest, especially in highly contested forest frontier regions. Finally, as a flexible, integrated process, Emergent Threat Analysis is applicable to deforestation fronts across the global tropics.

Financial Analysis of the Use of Land: Agriculture or Woodlot

Agriculture is the main driver of deforestation. In other to reduce deforestation, a viable alternative livelihood strategy, aside from agriculture, must be in place to provide a sustainable income for investors. Managing forests for sustainable production (the forest economy) has been suggested as an alternative for sustainable land use practice. In the current study, we undertook a comparative analysis of woodlots and agriculture. The profitability of agriculture and woodlot production in Ghana was compared using a profitability model. We looked at profitability in terms of Net Present Value (NPV) and the Benefit-Cost Ratio (BCR) of three regions in Ghana, namely, Ashanti, Bono-East, and Western Regions. We found that woodlot producers with contractual relationships with the Forest Commission and other forestry companies produce the highest Net Present Value (NPV) and Benefit-Cost Ratio (BCR). However, this profitability is marginally higher than that of agriculture, which gives a fixed yearly return. This means woodlot production may not be a panacea to reducing agriculture in Ghana.

Global Mangrove Deforestation and Its Interacting Social-Ecological Drivers: A Systematic Review and Synthesis

Globally, mangrove forests are substantially declining, and a globally synthesized database containing the drivers of deforestation and drivers’ interactions is scarce. Here, we synthesized the key social-ecological drivers of global mangrove deforestation by reviewing about two hundred published scientific studies over the last four decades (from 1980 to 2021). Our focus was on both natural and anthropogenic drivers with their gradual and abrupt impacts and on their geographic coverage of effects, and how these drivers interact. We also summarized the patterns of global mangrove coverage decline between 1990 and 2020 and identified the threatened mangrove species. Our consolidated studies reported an 8600 km2 decline in the global mangrove coverage between 1990 and 2020, with the highest decline occurring in South and Southeast Asia (3870 km2). We could identify 11 threatened mangrove species, two of which are critically endangered (Sonneratia griffithii and Bruguiera hainseii). Our reviewed studies pointed to aquaculture and agriculture as the predominant driver of global mangrove deforestation though their impacts varied across global regions. Gradual climate variations, i.e., sea-level rise, long-term precipitation, and temperature changes and driven coastline erosion, salinity intrusion and acidity at coasts, constitute the second major group of drivers. Our findings underline a strong interaction across natural and anthropogenic drivers, with the strongest interaction between the driver groups aquaculture and agriculture and industrialization and pollution. Our results suggest prioritizing globally coordinated empirical studies linking drivers and mangrove deforestation and global development of policies for mangrove conservation.

European Forest Governance: Status Quo and Optimising Options with Regard to the Paris Climate Target

This article assesses and develops policy instruments for forest governance in the EU. Methodologically, it examines opportunities and limits for negative emissions by means of a literature review. On this basis, it conducts a qualitative governance analysis of the most important instruments of EU forest policy and presents optimizing policy options, measured against the binding climate and biodiversity targets under international law. Our analysis shows that the potential benefits of afforestation and reforestation for climate mitigation are overestimated, and are often presented as the new saviours to assist in reaching climate neutrality, inter alia, since only biodiverse and thus resilient forests can function as a carbon sink in the long term. Furthermore, we demonstrate that the existing EU law fails to comply with climate and biodiversity targets. Quantity governance systems for livestock farming, fossil fuels and similar drivers of deforestation represent a more promising approach to forest governance than the dominant regulatory and subsidy-based governance. They are most effective when not directly addressing forests due to their heterogeneity but central damaging factors such as fossil fuels and livestock farming. Selected aspects of regulatory and subsidy law can supplement these quantity governance systems when focusing on certain easily attainable and thus controllable subjects. These include, e.g., the regulatory protection of old-growth forests with almost no exceptions and a complete conversion of all agricultural and forest subsidies to “public money for public services” to promote nature conservation and afforestation.

Agroforestry as an Essential Tool for Sustainable Farming Systems: Cacao (Theobroma Cacao)

The conversion of nature forest into cacao landscape is a driver of deforestation. Biodiversity losses, greenhouse gases emission intensification, soil water pollution, depletion of soil nutrients, degradation of the environment and constraint to income diversification are triggers by forest conversion. With this concern, an observation and research articles revision were done in USA, Liberia and Costa Rica to determine a sustainable farming methods in mitigating the effects of natural forest conversation to cocoa landscape. The results indicated that ecological, economic and social dimensions of such sustainable method known as agroforestry differs on land ownership, road connectivity, extension services, access to finance, availability of research, access to market and the rule of law . These differing parameters showed that the adoptions of agroforestry for sustainability tool for Liberia in the cocoa sector is challenging due to shifting cultivation of farming system, lack of proper data record/collection, extension services, expertise in agricultural research. But smallholder land ownership, tropical rainforest, kuu systems and farming cooperative are opportunities. Meanwhile, Costa Rica has the opportunities because of the availability of expertise in agricultural research and better value chain. The challenges exist are land ownership for smallholder in the cocoa landscape and an effective agricultural cooperatives. Adaption for agroforestry in Missouri, USA is constraint due to mechanize and plantation farming systems but technology, advance extension services, farming loan and access to market are opportunities. However, because of the opportunities, cacao agroforestry should be considered as a sustainable tool for sustainability of farming system.

Distribution and drivers of Vietnam mangrove deforestation from 1995 to 2019

Distribution and drivers of Vietnam mangrove deforestation from 1995 to 2019

Pathways of REDD+ Piloting in Enhancing Sustainable Forest Management: The Case of Masito-Ugalla Ecosystem, Western Tanzania.

In Tanzania, the piloting phase for the Reduced Emission from Deforestation and forest Degradation lasted for almost 8 years, between 2008 and 2016. REDD+ pilot projects were implemented to document critical lessons that would inform the development of REDD policy in the country, including the development of REDD strategy and Action Plan that the government endorsed in March 2013. Major thematic areas for piloting were to understand the drivers of deforestation and forest degradation, community engagement approaches, alternative livelihoods in the context of REDD+, measurement, reporting and verification of carbon issues in the context of REDD+ and financing questions. In western Tanzania, REDD+ was implemented in the same vein, with several activities employed with the involvement of state and non-state actors. This study evaluated the success and failure of the REDD+ mechanism in the Masito-Ugalla Ecosystem to draw lessons for future REDD+ implementation. This study employed a cross-sectional design that applied a mixed methods approach in collecting primary and secondary data, including 528 questionnaires, eight focus group discussions and data from direct observations. Before the REDD+ pilot, results indicate the existence of different forms of forest management, both traditional and modern, with traditional approaches being stricter than conventional and whose strength lost over time. The rise of conventional approaches was to alleviate deforestation that started in the aftermath that necessitated the development and implementation of conservation projects, whereby the REDD+ pilot is credited for stakeholder involvement and awareness creation programmes. However, it was challenging to balance conservation under REDD+ and community socio-economic development to achieve sustainable forest management targets, including alleviating shifting cultivation. The lack of completion of REDD+ activities such as the sale of carbon credits due to its short lifespan was an indication of REDD+ failure to achieve its milestones. Results illustrate further that transparency in planning for benefits distribution among actors, community empowerment, equity and equality and community responsiveness are necessary to foster community participation in SFM processes. Unless the transfer of tenure rights from the government (especially in JFM) to communities surrounding forests, it will be hard for local communities to effectively participate in future SFM activities. Findings highlight the need to clearly define how local communities surrounding forests can sustainably be engaged in management and conservation and benefit from their engagement in such processes.

Diagnosis of perception of drivers of deforestation using the partial least squares path modeling approach

Deforestation is recking havoc on the world's forests, leading to the widespread depletion of forest biodiversity and ecosystem services, as well as eventual forest cover loss. Ghana is one of the highest deforestation rated countries in the World. Despite efforts of the Forestry Commission and other private organizations, the country's protected forest infrastructure continues to deteriorate. This is because policymakers have not examined the interrelation of the causes of deforestation. The study examines the interrelation among factors affecting deforestation in the Sefwi-Wiawso Forest District (SWFD) of Ghana. Partial least squares (PLS) approach was used to identify the direct and indirect effects of the factors of deforestation and assess’ the relationships among the perceived causes of deforestation. The model showed that, Mining activities, Conflict over ownership rights, Illegal logging and Agricultural activities had positive direct impacts on Deforestation. On the contrary, Population growth, Knowledge on forest resources and Policy and enforcement had negative indirect impacts on Deforestation. Again, Population growth, policy and enforcement, and illegal logging were significant in predicting deforestation. As a result, the study propounds that, to effectively protect our forest and achieve Sustainable Development Goal 15, it is critical to address the direct effects of the variables influencing deforestation.

The Unseen Effects of Deforestation: Biophysical Effects on Climate

Climate policy has thus far focused solely on carbon stocks and sequestration to evaluate the potential of forests to mitigate global warming. These factors are used to assess the impacts of different drivers of deforestation and forest degradation as well as alternative forest management. However, when forest cover, structure and composition change, shifts in biophysical processes (the water and energy balances) may enhance or diminish the climate effects of carbon released from forest aboveground biomass. The net climate impact of carbon effects and biophysical effects determines outcomes for forest and agricultural species as well as the humans who depend on them. Evaluating the net impact is complicated by the disparate spatio-temporal scales at which they operate. Here we review the biophysical mechanisms by which forests influence climate and synthesize recent work on the biophysical climate forcing of forests across latitudes. We then combine published data on the biophysical effects of deforestation on climate by latitude with a new analysis of the climate impact of the CO2 in forest aboveground biomass by latitude to quantitatively assess how these processes combine to shape local and global climate. We find that tropical deforestation leads to strong net global warming as a result of both CO2 and biophysical effects. From the tropics to a point between 30°N and 40°N, biophysical cooling by standing forests is both local and global, adding to the global cooling effect of CO2 sequestered by forests. In the mid-latitudes up to 50°N, deforestation leads to modest net global warming as warming from released forest carbon outweighs a small opposing biophysical cooling. Beyond 50°N large scale deforestation leads to a net global cooling due to the dominance of biophysical processes (particularly increased albedo) over warming from CO2 released. Locally at all latitudes, forest biophysical impacts far outweigh CO2 effects, promoting local climate stability by reducing extreme temperatures in all seasons and times of day. The importance of forests for both global climate change mitigation and local adaptation by human and non-human species is not adequately captured by current carbon-centric metrics, particularly in the context of future climate warming.

Engineering the Lipid and Fatty Acid Metabolism in Yarrowia lipolytica for Sustainable Production of High Oleic Oils

Oleic acid is widely applied in the chemical, material, nutritional, and pharmaceutical industries. However, the current production of oleic acid via high oleic plant oils is limited by the long growth cycle and climatic constraints. Moreover, the global demand for high oleic plant oils, especially the palm oil, has emerged as the driver of tropical deforestation causing tropical rainforest destruction, climate change, and biodiversity loss. In the present study, an alternative and sustainable strategy for high oleic oil production was established by reprogramming the metabolism of the oleaginous yeast Yarrowia lipolytica using a two-layer "push-pull-block" strategy. Specifically, the fatty acid synthesis pathway was first engineered to increase oleic acid proportion by altering the fatty acid profiles. Then, the content of storage oils containing oleic acid was boosted by engineering the synthesis and degradation pathways of triacylglycerides. The strain resulting from this two-layer engineering strategy produced the highest titer of high oleic microbial oil reaching 56 g/L with 84% oleic acid in fed-batch fermentation, representing a remarkable improvement of a 110-fold oil titer and 2.24-fold oleic acid proportion compared with the starting strain. This alternative and sustainable method for high oleic oil production shows the potential of substitute planting.