scholarly journals Measuring savanna woody cover at scale to inform ecosystem restoration

Ecosphere ◽  
2021 ◽  
Vol 12 (3) ◽  
Author(s):  
David A. Loewensteiner ◽  
Renee E. Bartolo ◽  
Timothy G. Whiteside ◽  
Andrew J. Esparon ◽  
Chris L. Humphrey
Keyword(s):  
Ecosystem Restoration ◽  
Woody Cover

Overview of statewide geophysical surveys for ecosystem restoration in Louisiana

Shore & Beach ◽  
2020 ◽  
pp. 102-109
Author(s):  
Syed Khalil ◽  
Beth Forrest ◽  
Mike Lowiec ◽  
Beau Suthard ◽  
Richard Raynie ◽  
...  
Keyword(s):  
Data Collection ◽  
Monitoring Program ◽  
Barrier Island ◽  
Ecosystem Restoration ◽  
Coastal Protection ◽  
Side Scan Sonar ◽  
Island Restoration ◽  
Geophysical Surveys ◽  
Louisiana Coast ◽  
Almost All

The System Wide Assessment and Monitoring Program (SWAMP) was implemented by the Louisiana Coastal Protection and Restoration Authority (CPRA) to develop an Adaptive Management Implementation Plan (AMIP). SWAMP ensures that a comprehensive network of coastal data collection/monitoring activities is in place to support the development and implementation of Louisiana’s coastal protection and restoration program. Monitoring of physical terrain is an important parameter of SWAMP. For the first time a systematic approach was adopted to undertake a geophysical (bathymetric, side-scan sonar, sub-bottom profile, and magnetometer) survey along more than 5,000 nautical miles (nm) (excluding the 1,559 nm currently being surveyed from west of Terrebonne Bay to Sabine Lake) of track-line in almost all of the bays and lakes from Chandeleur Sound in the east to Terrebonne Bay in the west. This data collection effort complements the regional bathymetric survey undertaken under the Barrier Island Comprehensive Monitoring (BICM) Program in the adjacent offshore areas. This paper describes how a study of this magnitude was conceptualized, planned, and executed along the entire Louisiana coast. It is important to note that the initial intent was to collect bathymetric data only for numerical modelling for ecosystem restoration and storm surge prediction. Geophysical data were added for oyster identification and delineation. These first-order data also help comprehend the regional subsurface geology essential for sediment exploration to support Louisiana’s marsh and barrier island restoration projects.

The Response of a Phytoplankton Community to Ecosystem Restoration in Huizhou West Lake

2010 ◽  
Vol 30 (4) ◽  
pp. 453-459
Author(s):  
Liang CHEN ◽  
Xiu-Feng ZHANG ◽  
Zheng-Wen LIU
Keyword(s):  
Phytoplankton Community ◽  
Ecosystem Restoration ◽  
West Lake

scholarly journals The climatic imprint of bimodal distributions in vegetation cover for western Africa

2016 ◽  
Vol 13 (11) ◽  
pp. 3343-3357 ◽  
Author(s):  
Zun Yin ◽  
Stefan C. Dekker ◽  
Bart J. J. M. van den Hurk ◽  
Henk A. Dijkstra
Keyword(s):  
Land Cover ◽  
Congo Basin ◽  
Shortwave Radiation ◽  
Mean Annual Precipitation ◽  
Above Ground Biomass ◽  
Precipitation Regime ◽  
Ground Biomass ◽  
Western Africa ◽  
Precipitation Regimes ◽  
Woody Cover

Abstract. Observed bimodal distributions of woody cover in western Africa provide evidence that alternative ecosystem states may exist under the same precipitation regimes. In this study, we show that bimodality can also be observed in mean annual shortwave radiation and above-ground biomass, which might closely relate to woody cover due to vegetation–climate interactions. Thus we expect that use of radiation and above-ground biomass enables us to distinguish the two modes of woody cover. However, through conditional histogram analysis, we find that the bimodality of woody cover still can exist under conditions of low mean annual shortwave radiation and low above-ground biomass. It suggests that this specific condition might play a key role in critical transitions between the two modes, while under other conditions no bimodality was found. Based on a land cover map in which anthropogenic land use was removed, six climatic indicators that represent water, energy, climate seasonality and water–radiation coupling are analysed to investigate the coexistence of these indicators with specific land cover types. From this analysis we find that the mean annual precipitation is not sufficient to predict potential land cover change. Indicators of climate seasonality are strongly related to the observed land cover type. However, these indicators cannot predict a stable forest state under the observed climatic conditions, in contrast to observed forest states. A new indicator (the normalized difference of precipitation) successfully expresses the stability of the precipitation regime and can improve the prediction accuracy of forest states. Next we evaluate land cover predictions based on different combinations of climatic indicators. Regions with high potential of land cover transitions are revealed. The results suggest that the tropical forest in the Congo basin may be unstable and shows the possibility of decreasing significantly. An increase in the area covered by savanna and grass is possible, which coincides with the observed regreening of the Sahara.

scholarly journals MAES_GR: A Web-Based, Spatially Enabled Field Survey Platform for the MAES Implementation in Greece

Land ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 381
Author(s):  
Ioannis P. Kokkoris ◽  
Vasileios Kokkinos ◽  
Evangelos Michos ◽  
Rafail Kalogeropoulos ◽  
Marios Charalambides ◽  
...  
Keyword(s):  
Field Survey ◽  
Ecosystem Restoration ◽  
Web Based ◽  
Field Surveys ◽  
Field Recording ◽  
Use Of Technology ◽  
Ecosystem Condition ◽  
Reducing Costs ◽  
Mobile Survey ◽  
Novel Algorithm

This study presents a standardized approach to collecting, registering, and reporting field-survey data for baseline MAES (Mapping and Assessment of Ecosystems and their Services) information in Greece. This is accomplished through a web-based platform (MAES_GR) exclusively developed under the relevant, nation-wide LIFE-IP 4 NATURA project. Based on the European Commission’s guidance for ecosystem condition (EC) and ecosystem services (ES) MAES studies, we conceptualized and structured an online platform to support EC and ES assessments, integrating all relevant fields of information needed for registering EC and ES parameters. A novel algorithm calculating EC was also developed and it is available as an integral part of the platform. The use of the MAES_GR platform was evaluated during nationwide field surveys efforts, increasing time efficiency and reducing costs. Field recording of EC and ES pinpoint spatial priorities for ecosystem restoration, conservation and sustainable development. This work highlights that MAES implementation can be favored by the use of technology tools such as mobile survey platforms, developed according to scientific needs and policy guidelines. Such tools, apart from the data inventory phase, can be used for data analysis, synthesis and extraction, providing timely, standardized information suitable for reporting at the local, regional, national and European Union scale.

The contribution of ecosystem restoration to SDGs in Asian drylands: A literature review

2021 ◽  
Author(s):  
Ying Yao ◽  
Bojie Fu ◽  
Yanxu Liu ◽  
Yijia Wang ◽  
Shuang Song
Keyword(s):  
Literature Review ◽  
Ecosystem Restoration
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