scholarly journals Using Multisource Geospatial Data to Identify Potential Wetland Rehabilitation Areas: A Pilot Study in China’s Sanjiang Plain

Water ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2496 ◽  
Author(s):  
Zhiqiang Qiu ◽  
Ling Luo ◽  
Dehua Mao ◽  
Baojia Du ◽  
Kaidong Feng ◽  
...  

Wetland rehabilitation, highlighted in the United Nations (UN) Sustainable Development Goals (SDGs), is imperative for responding to decreased regional biodiversity and degraded ecosystem functions and services. Knowing where the most suitable wetland rehabilitation areas are can strengthen scientific planning and decision-making for natural wetland conservation and management implementation. Therefore, we integrated multisource geospatial data characterizing hydrological, topographical, management, and policy factors, including maximum surface water coverage, farming time, anthropogenic disturbance, and wetland protection level, to identify potential wetland rehabilitation areas in the Sanjiang Plain (SJP), the largest marsh distribution and a hotspot wetland loss region in China. Our results indicate that a total of 11,643 km2 of wetlands were converted into croplands for agricultural production from 1990 to 2018. We estimated that 5415 km2 of the croplands were suitable for wetland rehabilitation in the SJP, of which 4193 km2 (77%) have high rehabilitation priority. Specifically, 63% of the potential areas available for wetland rehabilitation are dry croplands (3419 km2), the rest (37%) being paddy fields. We argue that the selected indicators and approach used in this study to determine potential wetland rehabilitation areas could guide their investigation, at either the provincial or national scale and would be beneficial to conservation and sustainable management of wetlands in the SJP.

Land ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1361
Author(s):  
Jing Xie ◽  
Yeran Sun ◽  
Xiao Liu ◽  
Zhi Ding ◽  
Ming Lu

Human-induced dramatic loss and fragmentation of wetlands need further understanding through historical backtracking analysis at a geographical landscape scale. In this study, we investigated time-series wetlands maps from 1975, 1983, 1989, 2000, 2006, and 2013 derived from Landsat images based on the object-oriented classification of wetlands across the Sanjiang Plain north of the Wandashan Mountains. The spatial and temporal changes in the wetlands that occurred at different time periods and the Euclidean distances between artificial land-use types and natural land-cover areas were evaluated for their impact. Our results showed that wetland was the dominant landscape in 1975; however, arable land became the main land coverage in 2013 owing to severe changes in agricultural development over the past decades. The closer to arable land, the greater the wetland loss during the entire investigated period; agriculture activities were the dominant driving force for the degradation of wetlands based on landscape changes; secondary was the rapid expansion in building land use (i.e., human settlement, transportation, and establishment of irrigation canals). More specifically, the rapid loss of wetland areas over 1975–2000 was mainly owing to extensive agricultural reclamation. The mitigated loss of wetland areas over 2000–2013 was because of the protection and restored implementation of wetlands under governmental policies. The wetlands of the study area suffered severe human disturbance, and our analysis may help explain the loss process of wetlands, but more effective management and administration is still needed to address the issues around the balance between agricultural production and wetland protection for further sustainable development.


2021 ◽  
pp. 1-15
Author(s):  
STEFFEN OPPEL ◽  
ALAZAR DAKA RUFFO ◽  
SAMUEL BAKARI ◽  
MILLION TESFAYE ◽  
SOLOMON MENGISTU ◽  
...  

Summary The United Nations Sustainable Development Goals aim to improve livelihoods and maintain functioning ecosystems, and include the provision of electricity and the prevention of desertification. We show that the pursuit of those two goals can lead to developments that put critical ecosystem functions at risk. Vultures are scavengers that provide sanitary ecosystem services, but their populations across Africa are declining due to poisoning, electrocution, and collision with power infrastructure. The extent to which the pursuit of sustainable development threatens vultures in Africa is unclear. We surveyed 227 km of powerlines in Ethiopia, which revealed bird mortality (0.15 vulture carcasses / km) at power infrastructure constructed under a National Electrification Programme to provide universal electricity access by 2025. We also interviewed 190 local pastoralists in 10 areas about livelihood challenges, which revealed that the bush Prosopis juliflora, which was originally introduced to prevent desertification but then invaded north-eastern Ethiopia, increased livestock predation and motivated the use of poison to control predators. Actions to increase universal access to electricity and to reduce desertification therefore have undesired side-effects that increase vulture mortality through electrocution and poisoning. To avoid negatively affecting local vulture populations and the services they provide, we urge governments to use infrastructure designs that minimise the risk of electrocution and assist pastoralists to protect their livestock and reduce the risk of poisoning to vultures and other wildlife.


2020 ◽  
Vol 9 (9) ◽  
pp. 515 ◽  
Author(s):  
Aulia Akbar ◽  
Johannes Flacke ◽  
Javier Martinez ◽  
Rosa Aguilar ◽  
Martin F. A. M. van Maarseveen

Geospatial data is urgently needed in decision-making processes to achieve Sustainable Development Goals (SDGs) at global, national, regional and local scales. While the advancement of geo-technologies to obtain or produce geospatial data has become faster and more affordable, many countries in the global south still experience a geospatial data scarcity at the rural level due to complex geographical terrains, weak coordination among institutions and a lack of knowledge and technologies to produce visualised geospatial data like maps. We proposed a collaborative spatial learning framework that integrates the spatial knowledge of stakeholders to obtain geospatial data. By conducting participatory mapping workshops in three villages in the Deli Serdang district in Indonesia, we tested the framework in terms of facilitating communication and collaboration of the village stakeholders while also supporting knowledge co-production and social learning among them. Satellite images were used in digital and non-digital mapping workshops to support village stakeholders to produce proper village maps while fulfilling the SDGs’ emphasis to make geospatial data available through a participatory approach.


2019 ◽  
Vol 227 (2) ◽  
pp. 139-143 ◽  
Author(s):  
Alex Sandro Gomes Pessoa ◽  
Linda Liebenberg ◽  
Dorothy Bottrell ◽  
Silvia Helena Koller

Abstract. Economic changes in the context of globalization have left adolescents from Latin American contexts with few opportunities to make satisfactory transitions into adulthood. Recent studies indicate that there is a protracted period between the end of schooling and entering into formal working activities. While in this “limbo,” illicit activities, such as drug trafficking may emerge as an alternative for young people to ensure their social participation. This article aims to deepen the understanding of Brazilian youth’s involvement in drug trafficking and its intersection with their schooling, work, and aspirations, connecting with Sustainable Development Goals (SDGs) 4 and 16 as proposed in the 2030 Agenda for Sustainable Development adopted by the United Nations in 2015 .


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