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19 results for “Revegetation”
Revegetation of landslides, vegetation <0.1m (Small landslide plots at the Luquillo Experimental Forest)
The purpose of this study is to document the recovery of vegetation on new landslides in the Luquillo Experimental Forest, in particular seedlings less then 1m tall. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
Revegetation of landslides, vegetation > 1.0m (Large landslide plots at the Luquillo Experimental Forest)
Here we use permanent plot data sampled from 16 landslide to documents temporal successional pathways in landslide patches (without the use of a chronosequence, cf. Guariguata 1990) and address the following questions: (1) What are the successional pathways of landslide and what species define them? How much pathway variation of individual plots is there within these landslides? (2) How similar are pathways among landslide? Is there any evidence that, with time, landslides either converge to a common vegetative enpoint or slow in the rate of successional change? The purpose of this study is to document the recovery of vegetation on new landslides in the Luquillo Experimental Forest. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
Landslide Revegetation Canopy Measurements & Cover Estimates
The purpose of this data set is to document recovery of vegetation in new landslides in the Luquillo Experimental Forest (LEF) Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
Figure 4 in Composition and structure of soil fauna community in the Dexing Copper Mine tailings pool after revegetation
Figure 4. One-way ANOVA of Shannon–Wiener diversity index (H'), Pielou index (Js), and Margalef index (D) across the different samples (mean ± SE). Means with different letters are significantly different as assessed by LSD test, α = 0.05.
Figure 3 in Composition and structure of soil fauna community in the Dexing Copper Mine tailings pool after revegetation
Figure 3. One-way ANOVA of the functional groups across the different samples (mean ± SE). Means with different letters are significantly different as assessed by LSD test, α = 0.05.
Figure 5 in Composition and structure of soil fauna community in the Dexing Copper Mine tailings pool after revegetation
Figure 5. Results of the principal components analysis (PCA) of the soil fauna data. The values are means (n = 3) with bidirectional error bars of axis 1 and 2. For all the PCA plots, the values on the x- and y-axes represent the percent variation explained by axis 1 and axis 2, respectively. I, II, III, and IV refer to the sample I, sample II, sample III, and sample IV, respectively.
Figure 2 in Composition and structure of soil fauna community in the Dexing Copper Mine tailings pool after revegetation
Figure 2. One-way ANOVA of the abundance (A) and taxonomic richness (B) across different samples (mean ± SE). Means with different letters are significantly different as assessed by LSD test, α = 0.05.
Continuous Revegetation Survey Data, Watershed 5, Hubbard Brook Experimental Forest, 1984 - 1989
During the first five years after harvest of Watershed 5, detailed measurements of recovering vegetation were conducted on a large set of permanent plots. Results are summarized in Hughes and Fahey (1991) and Pu et al. (1993). Measurements on these plots were discontinued in 1989 and replaced by measurements on a smaller set of larger plots. Those data are not included in this dataset. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Vegetative cover, light availability, and Buckthorn performance in five forest revegetation treatments
<p>Data describing the cover, light availability, and buckthorn performance of five forest revegetation treatments (passive restoration, herbaceous seeding, sedge planting, shrub planting, and tree planting). </p>
Vegetative cover, light availability, and Buckthorn performance in five forest revegetation treatments
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Data from: putting seed traits into pellets: using seed mass data to improve seed encapsulation technology for native plant revegetation
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Strategic planting and nutrient amendments to accelerate the revegetation of rapidly retreating coastal dunes
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Understory revegetation enhances efficacy of prescribed burning after common buckthorn (Rhamnus cathartica) management
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Data from: Landscape genomics reveals altered genome wide diversity within revegetated stands of Eucalyptus microcarpa (Grey Box)
In order to contribute to evolutionary resilience and adaptive potential in highly modified landscapes, revegetated areas should ideally reflect levels of genetic diversity within and across natural stands. Landscape genomic analyses enable such diversity patterns to be characterized at genome and chromosomal levels. Landscape-wide patterns of genomic diversity were assessed in Eucalyptus microcarpa, a dominant tree species widely used in revegetation in Southeastern Australia. Trees from small and large patches within large remnants, small isolated remnants and revegetation sites were assessed across the now highly fragmented distribution of this species using the DArTseq genomic approach. Genomic diversity was similar within all three types of remnant patches analysed, although often significantly but only slightly lower in revegetation sites compared with natural remnants. Differences in diversity between stand types varied across chromosomes. Genomic differentiation was higher between small, isolated remnants, and among revegetated sites compared with natural stands. We conclude that small remnants and revegetated sites of our E. microcarpa samples largely but not completely capture patterns in genomic diversity across the landscape. Genomic approaches provide a powerful tool for assessing restoration efforts across the landscape.
Even short-term revegetation complicates soil food webs and strengths their links with ecosystem functions
<p>Degradation of dryland ecosystems is a worldwide problem caused by climate change and human activities. To restore these degraded ecosystems, governments have implemented projects that often include revegetation, but we still lack an understanding of how soil food webs and ecosystem functions are affected by revegetation. By conducting a large-scale revegetation experiment under two degradation intensities (low and high) on the Inner Mongolian degraded grassland, we tested the effects of revegetation on primary producers (plants), key components of soil food webs (bacteria, fungi, and nematodes), and ecosystem functions (soil C and N mineralization). After 4 years, revegetation greatly increased the biomass of plants and soil bacteria and fungi but had less effects on soil nematode functional groups. Revegetation increased vegetation and bacterial diversities and soil C and N mineralization rates, altered the structures of vegetation and soil microbial communities, but did not affect fungal or nematode diversity. The stronger effects of revegetation on plants, soil bacteria, soil fungi, and soil nematodes in plots with low degradation intensity than in plots with high degradation intensity indicated that future revegetation efforts should consider the degree of degradation. Revegetation also increased the interactions among plants, soil food webs, and ecosystem functions, indicating that the revegetation-induced changes in soil food webs could facilitate the recovery of soil nutrients and vegetation productivity in degraded grasslands. Synthesis and applications. Overall, the effects of revegetation were stronger on plants (primary producers) and soil microorganisms (intermediate trophic levels) than on soil nematodes (higher trophic levels), and even short-term revegetation increased the complexity of soil food webs and strengthened their relationships with soil functions in degraded grasslands. These results highlight the effects of restoration on multiple trophic levels in degraded drylands, and suggest that some aspects of plant-soil interactions in global drylands could be rapidly improved by appropriate restoration.</p>
Data from: Landscape genomics reveals altered genome wide diversity within revegetated stands of Eucalyptus microcarpa (Grey Box)
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Even short-term revegetation complicates soil food webs and strengths their links with ecosystem functions
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Revegetation by sowing reduces soil bacterial and fungal diversity
<p><b>Aim:</b> The aim of this study was to understand the effects of revegetation on the diversity of bacteria and fungi in soil by sowing a single species and exploring the underlying mechanism.</p> <p><b>Location:</b> Beijing, China</p> <p><b>Taxon:</b> Plants and Microbes</p> <p><b>Methods:</b> In a short-term ecological restoration experiment, one natural recovery treatment and three seed sowing treatments were chosen to assess their effects on the alteration of fungal and bacterial diversity. Plant species richness, abundance, and height were investigated. The diversity of fungi and bacteria was analyzed by high-throughput sequencing technologies. Linear mixed-effects model analysis was used to examine the effects of different restoration methods on biodiversity and ecosystem functions. Pearson's correlation analysis, analysis of covariance, and structural equation modelling (SEM) were used to examine the relationship between biodiversity and environmental factors.</p> <p><b>Results:</b> Species richness and the Shannon-Wiener Index (H') of plants in the sown treatments were lower than in the natural recovery treatment, especially with sowing of <i>Medicago sativa </i>L. Similarly, the sum of the observed species and H' of fungi and bacteria significantly decreased in the sown treatments. Moreover, plant density, community coverage, and soil moisture increased markedly, while soil bulk density decreased in the sown treatments. Importantly, SEM showed that sown treatments reduced the diversity of plants through increasing plant density, while it decreased the diversity of fungi and bacteria through decreasing the plant diversity and increasing soil moisture.</p> <p><b>Main conclusions:</b> Our findings confirm that ecological restoration by sowing could improve soil conditions, but may be unfavorable to the amelioration of soil microbial diversity in the short-term. Restoration practitioners should consider long-term studies on the dynamics of biodiversity in the above- and below- ground after revegetation by native species to achieve goals related to biodiversity conservation.</p>
Revegetation by sowing reduces soil bacterial and fungal diversity
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