Km2 Of Forest Research Articles

Spatial planning constraints will mitigate the fragmentation trajectory of natural and semi-natural landscapes: a case of Lushan City, China

ContextThe biodiversity faces an underlying threat from landscape fragmentation resulting from rapid urbanization. Examining the future trajectory of landscape fragmentation is imperative to understanding the impact of current spatial planning constraints on natural and semi-natural habitat preservation, ecosystem services, and sustainability.MethodsWe employed a Patch-generating Land Use Simulation (PLUS) model to simulate and predict the land use and landscape pattern changes in Lushan City under two distinct scenarios: “Planning Constraints (PC)” and “Natural Development (ND)”. We then identified an appropriate landscape fragmentation index (LFI) that effectively captured the fragmentation essence. To determine the optimal scale, we adopted an experimental approach using both the moving window (MW) method and the semi-variance function. By constructing a LFI spatiotemporal sequence and conducting trend analysis, we identified the potential fragmentation areas (PFA) with significant fragmentation tendencies.ResultsThe spatial planning constraints will (1) prevent the encroachment of construction land into 2.14 km2 of cropland, 0.21 km2 of forest, and 0.13 km2 of grassland; (2) shift the highly fragmented area from the northeastern portion of Lushan to the planned area defined by the development boundary; (3) mitigate and decelerate the trend of landscape fragmentation in natural and semi-natural landscapes, decrease PFA by 7.74 km2 and preserve 15.61 km2 of natural landscapes. (4) still leave 29.42% of forest and 22.82% of grassland at risk of fragmentation.ConclusionsSpatial planning constraints will effectively control the potential fragmentation in natural and semi-natural landscapes by changing the spatial distribution of LFI and PFA. This control mechanism will greatly exclude the anthropogenic impact and ensure the conservation of habitats. The habitats remaining within PFA should be focused in future eco-management optimization.

Functional connectivity across dominant forest ecosystems in Ecuador: A major challenge for a country with a high deforestation rate

Ecuador is one of the countries with the highest deforestation rate in South America, despite being one of the most biodiverse countries in the world. However, there is a lack of information concerning the harmful spatial and temporal effects of deforestation on fragmentation and the connectivity lost. The objective of this research was to study the changes in deforestation (land-use changes), fragmentation patterns, and the functional connectivity of the forests of continental Ecuador between 1990 and 2018. Different land cover layers provided by the Ecuadorian Ministry of the Environment were employed, and deforestation and fragmentation were analyzed by overlaying these layers in GIS systems. Functional connectivity for generic species with a dispersion of 5 km was calculated using Graphab at global and on patch scales. The results showed that Ecuador lost 21,263 km2 of forest (transformed mainly into agricultural land) during the study period, thus losing connectivity and increasing fragmentation, with the coastal region being that most affected. Global connectivity decreased by between 25% and 13.69% during the 28-year period, depending on the metric analyzed. Corridors varied over time, thus showing that a more permeable matrix and scattered but connectable patches are essential to increase ecosystems connectivity. Although global connectivity is a fundamental factor as regards ensuring the persistence of ecosystems, it is not always being considered for either conservation or reforestation plans in Ecuador. As this work shows, the identification of corridors and their further conservation could be essential as regards maintaining global connectivity.

Trend analysis, past dynamics and future prediction of land use and land cover change in upper Wabe-Shebele river basin

A growing population has led to extensive farming at the expense of a natural environment. Changes in land use and cover have caused land degradation, and problematic groundwater recharge. The objective of this study was to evaluate the historical trend, simulations, and predictions of land use land cover change in the Upper Wabe-Shebele River Basin. The study accounted for 1992, 2007 and 2022 as well as it will predict the change for 2037 and 2052. Landsat TM for 1992, ETM + for 2007, and Landsat-8 OLI for 2022 were used. In QGIS 3.16, the maximum likelihood method was utilized for supervised image classification. Using CA-Markov and the Land Change Modeler land use and land cover change for 2037 and 2052 were predicted. Validity and accuracy of the model was evaluated using actual and predicted land use and land cover changes of 2022. Topography, proximity to a town, stream, roads, and population density were used as input for the model. The results showed that between 1992 and 2007, cultivated land increased by 17.07% on average at a rate of 1.05%, while settlement increased by 17.51% at a rate of 1.08% per year. Agricultural and settlement land increased by 22.97% and 30.12%, respectively. Between 1992 and 2022, the transition area matrix showed 2,330.25 and 1,145.77 km2 of forest and grazing land were changed to settlement and cultivated land, respectively. Meanwhile, from 2022 to 2037, the quantity of land used for cultivated, grazing, and settlement is predicted to increase by 0.19, 3.66, and 23.8% in order. For 2037 and 2052, settlement and cultivated land were increased by 1.3 and 7.32% respectively. Finally, since natural ecosystem had been significantly disturbed by change in the study area, comprehensive rehabilitation and management is demanded.

Forest management practices and policies exert strong impacts on the spatio-temporal variations of forest disturbance in Hunan Province, China over the last three decades

Forest disturbance has a profound impact on the ecological function of forests. Although there are already global forest disturbance products, how accurate and whether they can be further improved remains to be seen. Moreover, due to the scarcity of disturbance characteristics (location, size, severity) data, the uncertainty of carbon estimation and the bottleneck of sustainable forest management are formed. In this study, Hunan was used as the research area to explore the most suitable detection methods for subtropical forest disturbance. We used the LandTrendr algorithm to generate a forest disturbance dataset from 1991 to 2021 and analyzed their spatio-temporal variation and disturbance characteristics. The overall accuracy of forest disturbance monitoring in Hunan Province was 86.39%, which was higher than that of Global Forest Change (GFC) products (82.89%). A total of 11103.25 km2 of forest has been disturbed in Hunan Province over the past 30 years, which represents 10.54% of the total forest area. Over the period 1991–2021, the disturbance area generally increased first and then decreased but varies greatly across regions. The maximum disturbance rate of Changsha city occurred in the period from 2006 to 2010 at 0.95%, while that of Zhangjiajie City is only 0.15%, appeared in the period from 2011 to 2015. Both patch size and severity of forest disturbances have shown a gradual upward trend, and the proportion of disturbance events with large areas and high severity is increasing. This study explored suitable spectral index combination for change detection, and then revealed the spatio-temporal characteristics of forest disturbance in the study area, providing important spatio-temporal information of disturbance regime change that is critical for near-real-time adaptive forest management.

The role of elections as drivers of tropical deforestation

Tropical forests support immense biodiversity and provide essential ecosystem services for billions of people. Despite this value, tropical deforestation continues at a high rate. Emerging evidence suggests that elections can play an important role in shaping deforestation, for instance by incentivising politicians to allow increased utilisation of forests in return for political support. Nevertheless, the role of elections as driver of deforestation has not yet been comprehensively tested at broad geographic scales. Here, we created an annual database from 2001 to 2018 on political elections and forest loss for 55 tropical nations and modelled the effect of elections on deforestation. In total, 1.5 million km2 of forest was lost during this time period, especially in the Amazon, the Congo Basin and in Southeast Asia. The annual rate of deforestation increased in 37 (67 %) of the analysed countries. Deforestation was significantly lower in years with uncompetitive lower chamber elections compared to competitive election years (i.e. when the opposition can participate in elections and has a legitimate chance to gain governmental power). Our results show a pervasive loss of tropical forests and suggest that competitive elections can be potential drivers of deforestation. Future analyses at higher resolution (intra-annual deforestation and sub-national governance) and simultaneous collection of data on additional mechanisms (legislative changes, financial investments, and binding term limits) will likely provide additional insights into the impacts of elections. We therefore recommend that organisations monitoring election transparency and fairness should also monitor environmental impacts such as forest loss, habitat destruction and resource exploitation.

The Societal and Economic Impact of Reforestation Strategies and Policies in Southeast Asia—A Review

This paper assesses the existing reforestation and forest conservation policies and strategies in Southeast Asia and how they have impacted people’s lives. Southeast Asia contains 11 countries and is home to 20% of the world’s species. Unfortunately, the region has been practising deforestation at an alarming rate. The main cause of deforestation in the region is the creation of land for agriculture, with forest fires and the growing demand for timber also contributing. As a result, the region has lost 376,000 km2 of forest in the last 30 years. Parts of the region have been involved in international efforts to protect forests, such as the 2016 Paris Agreement. However, some of these policies have not made much difference because most countries are not willing to support the necessary strategies. From the study findings, the main strength of the existing polices and strategies is that they are being amended to suit different changes in demographics and the practical needs of the sector. The sector has been able to shift from the initial state forestry management to making forests a multi-sectoral economic development agent. On the other hand, there are few polices at the national level that ensure every citizen participates in tree planting and that they understand the need to stop deforestation. In addition, many countries in the region are less willing to join the international communities in fighting climate change; that is, they do not agree with international partnerships like the Pris Climate Change Agreement.

A pantropical assessment of deforestation caused by industrial mining

Growing demand for minerals continues to drive deforestation worldwide. Tropical forests are particularly vulnerable to the environmental impacts of mining and mineral processing. Many local- to regional-scale studies document extensive, long-lasting impacts of mining on biodiversity and ecosystem services. However, the full scope of deforestation induced by industrial mining across the tropics is yet unknown. Here, we present a biome-wide assessment to show where industrial mine expansion has caused the most deforestation from 2000 to 2019. We find that 3,264 km2 of forest was directly lost due to industrial mining, with 80% occurring in only four countries: Indonesia, Brazil, Ghana, and Suriname. Additionally, controlling for other nonmining determinants of deforestation, we find that mining caused indirect forest loss in two-thirds of the investigated countries. Our results illustrate significant yet unevenly distributed and often unmanaged impacts on these biodiverse ecosystems. Impact assessments and mitigation plans of industrial mining activities must address direct and indirect impacts to support conservation of the world's tropical forests.

산불 발생에 따른 이산화탄소의 확산 시뮬레이션과 피해 주민의 건강 영향성 추정

The wildfire that occurred in Uljin-gun on March 4, 2022 spread to Samcheok-si, and was recorded as the longest wildfire in Korea, with the main fire extinguished in 213 hours. Due to the wildfire, about 209.23 km2 of forest was lost, more than 150 billion won in property damage, and about 6,500 people were evacuated. Even if various papers on these large-scale wildfires have been studied in Korea, most of them are considering the direct impacts of wildfires. Studies on indirect impacts such as damage to human health due to wildfire smoke are still lacking. In this study, numerical simulation was performed on the spread of carbon dioxide that the major material of wildfire smoke, for the 2022 Uljin-Samcheok wildfire and the air pollution on the resident health affected was estimated according to the increasing fine dust by wildfires. The amount of carbon dioxide and fine dust caused by wildfires has been increasing, and it is believed that it may have had an influence on the residents. In the future, it is thought that it will be helpful in estimating the extent of damage by collecting information on people with respiratory diseases.

The Biophysical Impacts of Deforestation on Precipitation: Results from the CMIP6 Model Intercomparison

AbstractDeforestation can impact precipitation through biophysical processes and such effects are commonly examined by models. However, previous studies mostly conduct deforestation experiments with a single model and the simulated precipitation responses to deforestation diverge across studies. In this study, 11 Earth system models are used to robustly examine the biophysical impacts of deforestation on precipitation, precipitation extremes, and the seasonal pattern of the rainy season through a comparison of a control simulation and an idealized global deforestation simulation with clearings of 20 million km2of forests. The multimodel mean suggests decreased precipitation, reduced frequency and intensity of heavy precipitation, and shortened duration of rainy seasons over deforested areas. The deforestation effects can even propagate to some regions that are remote from deforested areas (e.g., the tropical and subtropical oceans and the Arctic Ocean). Nevertheless, the 11 models do not fully agree on the precipitation changes almost everywhere. In general, the models exhibit higher consistency over the deforested areas and a few regions outside the deforested areas (e.g., the subtropical oceans) but lower consistency over other regions. Such intermodel spread mostly results from divergent responses of evapotranspiration and atmospheric moisture convergence to deforestation across the models. One of the models that has multiple simulation members also reveals considerable spread of the precipitation responses to deforestation across the members due to internal model variability. This study highlights the necessity of robustly examining precipitation responses to deforestation based on multiple models and each model with multiple simulation members.

Using the T‐EFA method in a cellular automata‐based urban growth simulation's calibration step

AbstractChanges in land cover driven by urban sprawl increase the threat of urbanization of forests and agricultural lands. Therefore, monitoring urban sprawl by creating simulation models is frequently carried out to understand sustainable city management. Cellular automata‐based models are mostly preferred to reduce the damage led by urban sprawl, and the SLEUTH model is the most well known. Several methods have been developed for the SLEUTH model calibration step, such as optimum SLEUTH metrics and total exploratory factor analysis (T‐EFA), to improve the model accuracy. This study aims to create a high‐accuracy urban growth simulation model using low‐resolution data, investigate the T‐EFA method's success in the calibration step, and find the urban sprawl effects on land cover change. Istanbul was selected as our study area due to witnessing its tremendous urban sprawl since the 1950s. According to our results, the urban growth that occurred between 2000 and 2018 could be defined more closely to reality using the T‐EFA method, and Istanbul will continue to grow until 2040, with approximately 428.7 km2 of agricultural lands, 553.4 km2 of forests, and 0.1 km2 of wetlands being transformed to urban. In addition, the geologically risky areas under threat of urbanization will increase by 60% between 2018 and 2040.

Spatial Prioritization for Wildfire Mitigation by Integrating Heterogeneous Spatial Data: A New Multi-Dimensional Approach for Tropical Rainforests

Wildfires drive deforestation that causes various losses. Although many studies have used spatial approaches, a multi-dimensional analysis is required to determine priority areas for mitigation. This study identified priority areas for wildfire mitigation in Indonesia using a multi-dimensional approach including disaster, environmental, historical, and administrative parameters by integrating 20 types of multi-source spatial data. Spatial data were combined to produce susceptibility, carbon stock, and carbon emission models that form the basis for prioritization modelling. The developed priority model was compared with historical deforestation data. Legal aspects were evaluated for oil-palm plantations and mining with respect to their impact on wildfire mitigation. Results showed that 379,516 km2 of forests in Indonesia belong to the high-priority category and most of these are located in Sumatra, Kalimantan, and North Maluku. Historical data suggest that 19.50% of priority areas for wildfire mitigation have experienced deforestation caused by wildfires over the last ten years. Based on legal aspects of land use, 5.2% and 3.9% of high-priority areas for wildfire mitigation are in oil palm and mining areas, respectively. These results can be used to support the determination of high-priority areas for the REDD+ program and the evaluation of land use policies.

The distribution and conservation status of Tapirus terrestris in the South American Atlantic Forest

Tapirus terrestris is the largest South American land mammal, with an extensive historical distribution and capable of occupying diverse habitats, and yet its populations have declined across its range. In order to provide baseline data on the conservation status of tapirs in the Atlantic Forest, we conducted a long-term study in one landscape, visited 93 forests, and received 217 expert reports over the 15-year study. We estimate that 2,665–15,992 tapirs remain in 48 confirmed populations, occupying 26,654 km2 of forest or 1.78% of its original range in the biome. Historically, hunting and deforestation were the main causes of decline, but today population isolation is the principal long-term threat. Vortex models indicate that 31.3–68.8% and 70.8–93.8% of the populations are demographically and genetically non-viable over the next 100 years, respectively, and that only 3–14 populations are viable when considering both variables. Habitat use data indicate that tapirs are adaptable to disturbed and secondary forests and will use diverse tree plantations and agricultural lands but hunting and highways keep populations isolated. Reserve staff report tapirs as common/abundant at 62.2% of the sites, and populations as stable and growing in 60% and 36% of the sites, respectively, and there is ample habitat in the biome for a population expansion, but overcoming the causes of isolation will be necessary for this to occur. Lack of adequate funding for protecting reserves is a chronic threat throughout the biome, especially in federal and state/provincial reserves, and increased funding will be necessary to implement effective conservation plans.

Impacts of the returning farmland to forest (grassland)project on ecosystem services in the Weihe River Basin, China.

As an important ecological compensation project initiated in China, the returning farmland to forest (grassland) project plays a key role in maintaining national ecological security. Systematical analysis for the impacts of the returning farmland to forest (grassland) project on ecosystem services would provide reference for consummating ecological compensation system. Taking the Weihe River Basin as an example, we analyzed the spatiotemporal changes of land use and ecosystem services since the implementation of the project based on land use data, meteorological data and other information. The InVEST model and geographically weighted regression were used to investigate the impacts of the project on the changes of ecosystem services, such as water conservation, soil conservation, carbon storage, and habitat quality. The results showed that since the implementation of the project, the coverage rate of forest and grassland had been fluctuating upwards, with an increase of 2704.49 km2 of forest and grassland area. From 2000 to 2018, in the Weihe River Basin all showed a fluctuating upwards trends. Among those services, water conservation and carbon storage had large increases, while habitat quality and soil conservation had small increases. The project had effectively improved ecosystem services in the Weihe River Basin, but the impacting intensity on ecosystem services varied from one geographical unit to another.

Australian fire nourishes ocean phytoplankton bloom

An unprecedented devastating forest fire occurred in Australia from September 2019 to March 2020. Satellite observations revealed that this rare fire event in Australia destroyed a record amount of more than 202,387 km2 of forest, including 56,471 km2 in eastern Australia, which is mostly composed of evergreen forest. The released aerosols contained essential nutrients for the growth of marine phytoplankton and were transported by westerly winds over the Southern Ocean, with rainfall-induced deposition to the ocean beneath. Here, we show that a prominent oceanic bloom, indicated by the rapid growth of phytoplankton, took place in the Southern Ocean along the trajectory of fire-born aerosols in response to atmospheric deposition. Calculations of carbon released during the fire versus carbon absorbed by the oceanic phytoplankton bloom suggest that they were nearly equal. This finding illustrates the critical role of the oceans in mitigating natural and anthropogenic carbon dioxide releases to the atmosphere, which are a primary driver of climate change.

How will the progressive global increase of arid areas affect population and land-use in the 21st century?

One of the possible consequences of projected global warming is the progressive enlargement of drylands. This study investigates to what extent population and land-use (forests, pastures, and croplands) are likely to be in areas turning arid in the 21st century. The first part of the study focuses on the climatological enlargement of arid areas at global, macro-regional, and high-resolution (0.44°) scales. To do so we analysed a large ensemble of CORDEX climate simulations, combined three indicators (FAO-UNEP aridity index, Köppen-Geiger climate classification, and Holdridge life zones), and quantified the areas turning from climatologically not arid into climatologically arid (and vice-versa) from recent past (1981–2010) to four projected global warming levels (GWLs) from 1.5°C to 4°C. In the second part, we used population and land-use projections to analyze their exposure to progressive shifts to drier or wetter climate. Both types of projections follow five socio-economic scenarios (SSPs from SSP1 to SSP5). We present results for the viable combinations between SSPs and GWLs. Depending on GWL, the projected drying patterns show regional differences but, overall, the negative consequences of climate change are clear. Already at 1.5°C warming, approximately 2 million km2 (1.4% of global land) are likely to become arid; at 2°C this area corresponds to 2.6 million km2 (2.7%), at 3°C to 5.2 million km2 (3.5%), and at 4°C to 6.8 million km2 (4.5%), an area that can be ranked the seventh largest country in the World. Such drying is particular strong over South America and southern Europe. In the worst-case scenario (SSP3, regional rivalry, at 4°C), approximately 500 million people will live in areas shifting towards arid climate. Forest areas are likely to be more affected in South America, pastures in Africa, and croplands in the Northern Hemisphere. For land-use, the worst-case scenarios are SSP3 and SSP5 (fossil-fuel based future): at GWL 4°C, about 0.5 million km2 of forests and 1.2 million km2 of both pastures and croplands are likely to be in areas shifting to arid climate.

How deregulation, drought and increasing fire impact Amazonian biodiversity.

Biodiversity contributes to the ecological and climatic stability of the Amazon Basin1,2, but is increasingly threatened by deforestation and fire3,4. Here we quantify these impacts over the past two decades using remote-sensing estimates of fire and deforestation and comprehensive range estimates of 11,514 plant species and 3,079 vertebrate species in the Amazon. Deforestation has led to large amounts of habitat loss, andfires further exacerbate this already substantial impact on Amazonian biodiversity. Since 2001, 103,079-189,755 km2 of Amazon rainforest has been impacted by fires, potentially impacting the ranges of 77.3-85.2% of species that are listed as threatened in this region5. The impacts of fire on the ranges of species in Amazonia could be as high as 64%, and greater impacts are typically associated with species that have restricted ranges. We find close associations between forest policy, fire-impacted forest area and their potential impacts on biodiversity. In Brazil, forest policies that were initiated in the mid-2000s corresponded to reduced rates of burning. However, relaxed enforcement of these policies in 2019 has seemingly begun to reverse this trend: approximately 4,253-10,343 km2 of forest has been impacted by fire, leading to some of the most severe potential impacts on biodiversity since 2009. These results highlight the critical role of policy enforcement in the preservation of biodiversity in the Amazon.

Suspect-screening analysis of a coastal watershed before and after Hurricane Florence using high-resolution mass spectrometry

On September 14, 2018, Hurricane Florence delivered ~686 mm rainfall to a 106 km2 watershed in coastal North Carolina, USA. A forested land treatment site comprises one third of the watershed wherein municipal wastewater effluent is spray-irrigated onto 8.9 km2 of forest. This communication provides insight for land treatment function under excess water duress as well as changes in organic chemical composition in on- and off-site waters before (June 2018) and after (September & December 2018) Hurricane Florence's landfall. We compare the numbers and relative abundances of chemical features detected using suspect screening high resolution mass spectrometry in waste-, ground-, and surface water samples. Values for upstream and receiving waters in September were lower than for sampling events in June and December, indicating an expected dilution effect across the watershed. Chemical diversity was greatest for all surface water samples in December, but only upstream surface water showed a dramatic five-fold increase in relative chemical abundance. Chemical abundance in on-site water and downstream surface water was equal to or lower than the September storm dilution effect. These data suggest that the land treatment system is functionally and hydrologically robust to extreme storm events and contributed to dilution of upstream chemical reservoirs for downstream receiving waters for months after the storm. Similar systems may embody one water reuse strategy robust to the increasing occurrence of extreme precipitation events.

Consequences of terminating mangrove’s protection in Brazil

The Brazilian government agenda for downgrading and degazettement of protected ecosystems has seen an unprecedented move with the revocation of the mangrove’s protection act in the country. As the second largest country in mangrove extent, with over 11,000 km2 of forests that have been conserved for decades, mangroves may now be open for unsustainable economic development. Shrimp aquaculture and urban development are likely the highest threats to mangrove forests in Brazil. When built over mangrove land, shrimp ponds release greenhouse gases at a rate up to 10-fold larger than cattle pasture conversion on dryland forests. In a scenario of low rates of mangrove loss of 0.1% per year (2-fold current rates), emissions from land use would be close to 1.6 Tg CO2e per year, which is equivalent to 0.01% of emissions from deforestation in the Amazon over an area 1500 times smaller. Urban development and removal of mangroves to human infrastructure also have strong negative effects on pollutant retention, which could further decrease water quality and increase coastal vulnerability near urban centers. The loss of mangroves have also expected negative effects on food provision, which allied to other key ecosystem services provided by mangroves, will be key to a sustainable ocean under a changing climate during the next century.

Anthropogenic modification of forests means only 40% of remaining forests have high ecosystem integrity

Many global environmental agendas, including halting biodiversity loss, reversing land degradation, and limiting climate change, depend upon retaining forests with high ecological integrity, yet the scale and degree of forest modification remain poorly quantified and mapped. By integrating data on observed and inferred human pressures and an index of lost connectivity, we generate a globally consistent, continuous index of forest condition as determined by the degree of anthropogenic modification. Globally, only 17.4 million km2 of forest (40.5%) has high landscape-level integrity (mostly found in Canada, Russia, the Amazon, Central Africa, and New Guinea) and only 27% of this area is found in nationally designated protected areas. Of the forest inside protected areas, only 56% has high landscape-level integrity. Ambitious policies that prioritize the retention of forest integrity, especially in the most intact areas, are now urgently needed alongside current efforts aimed at halting deforestation and restoring the integrity of forests globally.

The erosion of biodiversity and biomass in the Atlantic Forest biodiversity hotspot

Tropical forests are being deforested worldwide, and the remaining fragments are suffering from biomass and biodiversity erosion. Quantifying this erosion is challenging because ground data on tropical biodiversity and biomass are often sparse. Here, we use an unprecedented dataset of 1819 field surveys covering the entire Atlantic Forest biodiversity hotspot. We show that 83−85% of the surveys presented losses in forest biomass and tree species richness, functional traits, and conservation value. On average, forest fragments have 25−32% less biomass, 23−31% fewer species, and 33, 36, and 42% fewer individuals of late-successional, large-seeded, and endemic species, respectively. Biodiversity and biomass erosion are lower inside strictly protected conservation units, particularly in large ones. We estimate that biomass erosion across the Atlantic Forest remnants is equivalent to the loss of 55−70 thousand km2 of forests or US$2.3−2.6 billion in carbon credits. These figures have direct implications on mechanisms of climate change mitigation.