Invasion and Dispersion of the Exotic Species Procambarus clarkii (Decapoda Cambaridae) in Yeongsan River Basin, South Korea

The introduction of exotic species negatively affects the distribution and interactions within local biological communities in an ecosystem and can threaten ecosystem health. This study aimed to provide the basic data required to manage P. clarkii in the Yeongsan River basin. We identified the dispersion pattern and evaluated the ecosystem risk of this newly introduced species. The distribution survey investigated Procambarus clarkii populations at 25 sites in the Yeongsan River basin over a four-year period. The initial introduction occurred in Jiseok Stream. The larvae of P. clarkii were most abundant in areas with a dense aquatic plant cover, whereas adults preferred silt/clay areas. The alterations in the water flow by the river refurbishment project (carried out in 2012) increased their preferred habitats and contributed to P. clarkii dispersion. However, stable isotope analysis showed that the dispersion has had little effect on the freshwater ecosystem. The interrelationship between P. clarkii (i.e., larvae and adults) and other biological communities has been limited. Although the rapid dispersion by P. clarkii in the Yeongsan River basin has not impacted the freshwater ecosystem, further ecological information is required on how to manage P. clarkii beyond this early stage of invasion.

Using ecosystem risk assessment science in ecosystem restoration: a guide to applying the Red List of Ecosystems to ecosystem restoration

Recent global initiatives in ecosystem restoration offer an unprecedented opportunity to improve biodiversity conservation and human health and well-being. Ecosystems form a core component of biodiversity. They provide humans with multiple benefits – a stable climate and breathable air; water, food and materials; and protection from disaster and disease. Ecosystem restoration, as defined by the UN Decade on Ecosystem Restoration, includes a range of management interventions that aim to reduce impacts on and assist in the recovery of ecosystems that have been damaged, degraded or destroyed. This Guide promotes the application of the science of ecosystem risk assessment, which involves measuring the risk of ecosystem collapse, in ecosystem restoration. It explores how the IUCN Red List of Ecosystems and ecosystem restoration can be jointly deployed to reduce risk of ecosystem collapse.

Synthesizing Data to Classify and Risk Assess Vegetation Types for Regulations in Inland New South Wales Australia

From 1998, land-use regulations in New South Wales Australia referred to risk status of plant community types and abiotic landscapes. Lacking was a uniform vegetation classification for 77% of NSW comprising the inland arid, semi-arid and cropping agricultural zones: regions that contain patchy floristic plot data. In response, 562 plant communities, mainly at levels 8 in the IVC, were classified by synthesizing plot-based analyses, qualitative descriptions, maps, extensive field checks, new field samples and peer review. Qualitative information was vital to complete a thorough classification. Each type was assigned a risk category based on six risk assessment criteria developed prior to IUCN RLE. Occurrences in protected areas were audited and related to original extent yielding a protected area/adequacy code. Results were used in land change assessment tools and contributed to the listing of 40 threatened ecological communities under biodiversity laws. Two mapping methods attained different levels of reliability. Applying risk criteria to coarse versus fine levels in typologies can produce different results. Mid-to fine level global hierarchies best suit ecosystem risk assessment.

Arctic Corporations and Development Risks: Challenge and Response

The realities of the Russian Arctic in recent decades make it possible to determine a special phenomenon of corporate development risks, which can be structured into resource, institutional and ecosystem risks. The resource risk reflects the contradiction between the conjuncture of the global resource markets and the specific conditions for the development of unique deposits located in the Arctic zone; institutional risk — between federal norms and rules for the development of natural resource deposits and local specific conditions for the construction and operation of resource facilities in the Arctic; ecosystem risk reflects the contradiction between large-scale economic activity and the fragility of Arctic natural systems. As a result of a comparative assessment of the development risks of three Arctic corporations in Russia, it was found that the highest risk is typical for the facilities of Norilsk Nickel, the lowest — for NovaTEK, and Gaz-promneft is in the middle. Using the OLI paradigm of John Dunning, it can be argued that Arctic corpora-tions respond to the challenge of development risks by adapting their spatial, institutional and organiza-tional structure to the conditions for the development of resources and resource territories. The spatial factor is most efficiently used by Norilsk Nickel, then NovaTEK, in the strategy of adaptation to develop-ment risks, with the receipt of benefits from localization and the creation of a regional cluster, while Gaz-promneft is the least effective. The institutional factor is most effectively used by NovaTEK and Gazprom-neft, and the least by Norilsk Nickel. The organizational and structural factor as a tool for adapting to risks is most skillfully used by Gazpromneft, weaker — by NovaTEK and Norilsk Nickel. Integrally, the best positions in the strategy of adaptation to development risks are held by Gazpromneft, and the worst positions by Norilsk Nickel, which has the most significant contrast between the size of development risks and the means of adaptation to them. Strengthening the internal competencies of the company and its corporate innovation system is the most important way to successfully cope with the high risks of corporate development of resources and spaces of the Arctic.

Private Processes and Public Values: Disciplining Trade in Forest and Ecosystem Risk Commodities via Non-Financial Due Diligence

This article takes stock of the many private and public instruments enacted transnationally to tackle the pressing problem of deforestation, ecosystem conversion, and associated human rights violations caused by international demand for and trade in agricultural commodities. The article argues that non-financial due diligence based on no-conversion criteria, and in line with the United Nations Guiding Principles on Business and Human Rights, holds considerable potential for ensuring deforestation-free value chains by enrolling and scaling up firm-level supply-chain management systems and private standards. The article introduces the main features of a possible European Union measure that disciplines via non-financial due diligence the placing on the market of commodities and products associated with deforestation, ecosystem conversion, degradation of forests and ecosystems, and associated human rights violations. Such a measure would also have the effect of streamlining initiatives enacted by private authority.

Mapping the Extent of Mangrove Ecosystem Degradation by Integrating an Ecological Conceptual Model with Satellite Data

Anthropogenic and natural disturbances can cause degradation of ecosystems, reducing their capacity to sustain biodiversity and provide ecosystem services. Understanding the extent of ecosystem degradation is critical for estimating risks to ecosystems, yet there are few existing methods to map degradation at the ecosystem scale and none using freely available satellite data for mangrove ecosystems. In this study, we developed a quantitative classification model of mangrove ecosystem degradation using freely available earth observation data. Crucially, a conceptual model of mangrove ecosystem degradation was established to identify suitable remote sensing variables that support the quantitative classification model, bridging the gap between satellite-derived variables and ecosystem degradation with explicit ecological links. We applied our degradation model to two case-studies, the mangroves of Rakhine State, Myanmar, which are severely threatened by anthropogenic disturbances, and Shark River within the Everglades National Park, USA, which is periodically disturbed by severe tropical storms. Our model suggested that 40% (597 km2) of the extent of mangroves in Rakhine showed evidence of degradation. In the Everglades, the model suggested that the extent of degraded mangrove forest increased from 5.1% to 97.4% following the Category 4 Hurricane Irma in 2017. Quantitative accuracy assessments indicated the model achieved overall accuracies of 77.6% and 79.1% for the Rakhine and the Everglades, respectively. We highlight that using an ecological conceptual model as the basis for building quantitative classification models to estimate the extent of ecosystem degradation ensures the ecological relevance of the classification models. Our developed method enables researchers to move beyond only mapping ecosystem distribution to condition and degradation as well. These results can help support ecosystem risk assessments, natural capital accounting, and restoration planning and provide quantitative estimates of ecosystem degradation for new global biodiversity targets.

Remote Sensing Monitoring and Ecological Risk Assessment of Landscape Patterning in the Agro-Pastoral Ecotone of Northeast China

The agro-pastoral ecotone, an ecological transition zone connecting adjacent areas of agricultural planting area and grassland animal husbandry, has three features: a complex natural condition, relatively pronounced population pressure, and a fragile ecological environment. In this study, we conducted an ecosystem risk assessment in the western part of Jilin Province, China, based on multiscale and multitemporal remote sensing images and land-use data. Furthermore, we focused on land-use change from 1995 to 2015 by applying the dynamic change information survey method and carrying out a transfer track analysis. The results revealed three main findings. (1) The ecological risk index at the scale of 3 km × 3 km harbors significant spatial correlation. (2) The ecological risk index of unutilized land, forest land, and grassland is relatively high for each, and their anti-interference ability is weak, while the ecological risk index of construction land and water area is the lowest. (3) Human interference, e.g., construction activities and cultivated land occupation, is the leading factor driving the exacerbation of ecological risk and frequent land-use type conversions. At the study period’s end, a trend of slight contraction in the high-risk areas was found, indicating that land-use regulation and land protection policies have had significantly positive impact upon the lands’ ecological value. The overall study identified a reasonable research scale for eco-environmental risk assessment and discerned relationships between regional land-use changes through geospatial analysis. Moreover, our findings can help provide practical case study information applicable to similar regions with agro-pastoral ecotones.

Assessment of Risk Levels of Mangrove Forest Due to Oil Spill in Muara Gembong, Bekasi Regency

Habitat risk assessment is critical to assess the state of an environment. This research was conducted with the aim to assessand map the risk value of Mangrove Forest due to the oil spill incident in the Muara Gembong Regency, Bekasi District, which previously polluted coastal areas, especially in the mangrove ecosystem. Risk assessment is carried out as an effort to mitigate disaster to have a better prevention strategy, especially in areas that have a higher risk. The method for assessing risk in the mangrove ecosystem in Muara Gembong uses Habitat Risk Assessment using the Euclidean Distance formula, which is divided into three risk classes: low, medium, high. The risk value in coastal areas prone to oil spills has a moderate risk value with a total area of 3.7 km2 because the mangrove ecosystem has good resilience, and low risk for the inner mangrove area of the coastal area has a low chance with an area of 2.85 km2. The risk value in the medium class is 1.02, and the risk value in the low rank is 0.11.