Coordinated Reservoir Management Planning for Large-Scale Ecological Restoration

2012 ◽  
Author(s):  
Scott Steinschneider ◽  
Austin Polebitksi ◽  
David Ahlfeld ◽  
Casey Brown ◽  
Richard Palmer
Keyword(s):  
Ecological Restoration ◽  
Large Scale ◽  
Reservoir Management ◽  
Management Planning

scholarly journals Analysis of 220 Years of Floodplain Population Dynamics in the US at Different Spatial Scales

Water ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 141
Author(s):  
Firoza Akhter ◽  
Maurizio Mazzoleni ◽  
Luigia Brandimarte
Keyword(s):  
Population Dynamics ◽  
Large Scale ◽  
Spatial Scales ◽  
National Level ◽  
State Level ◽  
Economic Activities ◽  
Protection Measures ◽  
Management Planning ◽  
The Us ◽  
Over Time

In this study, we explore the long-term trends of floodplain population dynamics at different spatial scales in the contiguous United States (U.S.). We exploit different types of datasets from 1790–2010—i.e., decadal spatial distribution for the population density in the US, global floodplains dataset, large-scale data of flood occurrence and damage, and structural and nonstructural flood protection measures for the US. At the national level, we found that the population initially settled down within the floodplains and then spread across its territory over time. At the state level, we observed that flood damages and national protection measures might have contributed to a learning effect, which in turn, shaped the floodplain population dynamics over time. Finally, at the county level, other socio-economic factors such as local flood insurances, economic activities, and socio-political context may predominantly influence the dynamics. Our study shows that different influencing factors affect floodplain population dynamics at different spatial scales. These facts are crucial for a reliable development and implementation of flood risk management planning.

scholarly journals Sustainable large‐scale production of European flat oyster ( Ostrea edulis ) seed for ecological restoration and aquaculture: a review

2021 ◽  
Author(s):  
Bérenger Colsoul ◽  
Pierre Boudry ◽  
María Luz Pérez‐Parallé ◽  
Ana Bratoš Cetinić ◽  
Tristan Hugh‐Jones ◽  
...  
Keyword(s):  
Ecological Restoration ◽  
Large Scale ◽  
Scale Production ◽  
Ostrea Edulis ◽  
Large Scale Production ◽  
Flat Oyster

scholarly journals Construction of a Landscape Ecological Network for a Large-Scale Energy and Chemical Industrial Base: A Case Study of Ningdong, China

Land ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 344
Author(s):  
Haochen Yu ◽  
Jiu Huang ◽  
Chuning Ji ◽  
Zi’ao Li
Keyword(s):  
Ecological Restoration ◽  
Large Scale ◽  
Ecological Environment ◽  
Ecological Network ◽  
High Importance ◽  
Fractional Coverage ◽  
Industrial Base ◽  
Ecological Corridors ◽  
Vegetation Fractional Coverage

A large-scale energy and chemical industry base is an important step in the promotion of the integrated and coordinated development of coal and its downstream coal-based industry. A number of large-scale energy and chemical industrial bases have been built in the Yellow River Basin that rely on its rich coal resources. However, the ecological environment is fragile in this region. Once the eco-environment is destroyed, the wildlife would lose its habitat. Therefore, this area has attracted wide attention regarding the development of the coal-based industry while also protecting the ecological environment. An ecological network could improve landscape connectivity and provide ideas for ecological restoration. This study took the Ningdong Energy and Chemical Industrial Base as a case study. Morphological spatial pattern analysis was applied to extract core patches. The connectivity of the core patches was evaluated, and then the ecological source patches were recognized. The minimum cumulative resistance model, hydrologic analysis and circuit theory were used to simulate the ecological network. Then, ecological corridors and ecological nodes were classified. The results were as follows: (1) The vegetation fractional coverage has recently been significantly improved. The area of core patches was 22,433.30 ha. In addition, 18 patches were extracted as source patches, with a total area of 9455.88 ha; (2) Fifty-eight potential ecological corridors were simulated. In addition, it was difficult to form a natural ecological corridor because of the area’s great resistance. Moreover, the connectivity was poor between the east and west; (3) A total of 52 potential ecological nodes were simulated and classified. The high-importance nodes were concentrated in the western grassland and Gobi Desert. This analysis indicated that restoration would be conducive to the ecological landscape in this area. Furthermore, five nodes with high importance but low vegetation fractional coverage should be given priority in later construction. In summary, optimizing the ecological network to achieve ecological restoration was suggested in the study area. The severe eco-environmental challenges urgently need more appropriate policy guidance in the large energy and chemical bases. Thus, the ecological restoration and ecological network construction should be combined, the effectiveness of ecological restoration could be effectively achieved, and the cost could also be reduced.

Satellite-based large-scale vegetation dynamics in ecological restoration programmes of Northern China

2018 ◽  
Vol 40 (5-6) ◽  
pp. 2296-2312 ◽  
Author(s):  
Zhitao Wu ◽  
Lu Yu ◽  
Xiaoyu Zhang ◽  
Ziqiang Du ◽  
Hong Zhang
Keyword(s):  
Ecological Restoration ◽  
Vegetation Dynamics ◽  
Large Scale ◽  
Northern China

scholarly journals Temporal and Spatial Variations in NDVI and Analysis of the Driving Factors in the Desertified Areas of Northern China From 1998 to 2015

2021 ◽  
Vol 9 ◽  
Author(s):  
Xuyang Wang ◽  
Yuqiang Li ◽  
XinYuan Wang ◽  
Yulin Li ◽  
Jie Lian ◽  
...  
Keyword(s):  
Ecological Restoration ◽  
Large Scale ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Climatic Factors ◽  
Northern China ◽  
Gobi Desert ◽  
Desert Grassland ◽  
Dune Stability ◽  
Mobile Dunes

China faces some of the most serious desertification in the world, leading to many problems. To solve them, large-scale ecological restoration projects were implemented. To assess their effectiveness, we analyzed normalized-difference vegetation index (NDVI) data derived from SPOT VEGETATION and gridded climate datasets from 1998 to 2015 to detect the degrees of desertification and the effects of human and climate drivers on vegetation dynamics. We found that NDVI of desertified areas generally decreased before 2000, then increased. The annual increase in NDVI was fixed dunes (0.0013) = semi-fixed dunes (0.0013) > semi-mobile dunes (0.0012) > gobi (gravel) desert (0.0011) > mobile dunes (0.0003) > saline–alkali land (0.0000). The proportions of the area of each desert type in which NDVI increased were fixed dunes (43.4%) > semi-mobile dunes (39.7%) > semi-fixed dunes (26.7%) > saline–alkali land (23.1%) > gobi desert (14.4%) > mobile dunes (12.5%). Thus, the vegetation response to the restoration efforts increased as the initial dune stability increased. The proportion of the area where desertification was dominated by temperature (1.8%) was far less than the area dominated by precipitation (14.1%). However, 67.6% of the change was driven by non-climatic factors. The effectiveness of the ecological restoration projects was significant in the Loess Plateau and in the Mu Us, Horqin, and Hulunbuir sandy lands. In contrast, there was little effect in the Badain Jaran, Ulan Buh, and Tengger deserts; in particular, vegetation cover has declined seriously in the Hunshandake Sandy Land and Alkin Desert Grassland. Thus, more or different ecological restoration must be implemented in these areas.

Effects of ecological restoration on beetle assemblages: results from a large-scale experiment in a Mediterranean steppe rangeland

2018 ◽  
Vol 27 (9) ◽  
pp. 2155-2172 ◽  
Author(s):  
Jean-François Alignan ◽  
Jean-François Debras ◽  
Renaud Jaunatre ◽  
Thierry Dutoit
Keyword(s):  
Ecological Restoration ◽  
Large Scale ◽  
Beetle Assemblages ◽  
Scale Experiment

scholarly journals Methodological Ambiguity and Inconsistency Constrain Unmanned Aerial Vehicles as A Silver Bullet for Monitoring Ecological Restoration

2019 ◽  
Vol 11 (10) ◽  
pp. 1180 ◽  
Author(s):  
Todd M. Buters ◽  
Philip W. Bateman ◽  
Todd Robinson ◽  
David Belton ◽  
Kingsley W. Dixon ◽  
...  
Keyword(s):  
Machine Learning ◽  
Unmanned Aerial Vehicles ◽  
Ecological Restoration ◽  
Large Scale ◽  
Ecological Monitoring ◽  
Policy Framework ◽  
Strong Positive Correlation ◽  
Aerial Vehicles ◽  
The Future ◽  
Thermal Cameras

The last decade has seen an exponential increase in the application of unmanned aerial vehicles (UAVs) to ecological monitoring research, though with little standardisation or comparability in methodological approaches and research aims. We reviewed the international peer-reviewed literature in order to explore the potential limitations on the feasibility of UAV-use in the monitoring of ecological restoration, and examined how they might be mitigated to maximise the quality, reliability and comparability of UAV-generated data. We found little evidence of translational research applying UAV-based approaches to ecological restoration, with less than 7% of 2133 published UAV monitoring studies centred around ecological restoration. Of the 48 studies, > 65% had been published in the three years preceding this study. Where studies utilised UAVs for rehabilitation or restoration applications, there was a strong propensity for single-sensor monitoring using commercially available RPAs fitted with the modest-resolution RGB sensors available. There was a strong positive correlation between the use of complex and expensive sensors (e.g., LiDAR, thermal cameras, hyperspectral sensors) and the complexity of chosen image classification techniques (e.g., machine learning), suggesting that cost remains a primary constraint to the wide application of multiple or complex sensors in UAV-based research. We propose that if UAV-acquired data are to represent the future of ecological monitoring, research requires a) consistency in the proven application of different platforms and sensors to the monitoring of target landforms, organisms and ecosystems, underpinned by clearly articulated monitoring goals and outcomes; b) optimization of data analysis techniques and the manner in which data are reported, undertaken in cross-disciplinary partnership with fields such as bioinformatics and machine learning; and c) the development of sound, reasonable and multi-laterally homogenous regulatory and policy framework supporting the application of UAVs to the large-scale and potentially trans-disciplinary ecological applications of the future.

Assessment on the Water Quality Influenced by Large-Scale Controlled Planting of Water Hyacinth in the Dianchi Lake

2013 ◽  
Vol 726-731 ◽  
pp. 1782-1785 ◽  
Author(s):  
Xia Zhang ◽  
Zong Shou Cai ◽  
Li Hong Chen ◽  
Jian Wen Ruan
Keyword(s):  
Water Quality ◽  
Ecological Restoration ◽  
Water Hyacinth ◽  
Large Scale ◽  
Present Situation ◽  
Dianchi Lake ◽  
The Future ◽  
Before And After ◽  
Ecological Treatment

Large-scale controlled planting of water hyacinth has become one of the most important measures of Dianchi Lake’s treatment in the “12th Five-Year Plan”. This paper firstly introduced the present situation of large-scale controlled planting of water hyacinth in Dianchi Lake. The water quality of Caohai and Waihai of Dianchi Lake were compared before and after the project of planting water hyacinth. This paper concluded that the effects of large-scale controlled planting of water hyacinth on the ecological restoration of Caohai lake were outstanding. The area of controlled planting could be spread among other water areas of Dianchi lake where is suitable for the growth of water hyacinth in the future, and water hyacinth will pay a greater role in the ecological treatment of Dianchi Lake.

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