scholarly journals Squeezed from All Sides: Urbanization, Invasive Species, and Climate Change Threaten Riparian Forest Buffers

2020 ◽  
Vol 12 (4) ◽  
pp. 1448 ◽  
Author(s):  
Lea Johnson ◽  
Tara Trammell ◽  
Tracie Bishop ◽  
Joshua Barth ◽  
Scott Drzyzga ◽  
...  
Keyword(s):  
Climate Change ◽  
Invasive Species ◽  
Land Cover ◽  
Invasive Plants ◽  
Agricultural Land ◽  
Riparian Forest ◽  
Urban Land ◽  
Global Changes ◽  
Forest Patches ◽  
Woody Vines

Streamside forests of urbanizing coastal regions lie at the nexus of global changes: rising sea levels, increasing storm surge, expanding urban development, and invasive species. To understand how these combined stressors affect forest conditions, we identified forest patches adjacent to urban land, analyzed adjacent land cover, modeled forest inundation, and sampled 100 sites across the Chesapeake Bay and Delaware Bay watersheds. We found that the majority of forest patches are adjacent to urban land and projected flooding will affect 8–19% of regional forested land. We observed non-native invasive plants in 94% of forest plots. Trees were predominantly native, but over half of shrub stems were invasive species and more than 80% of plots contained invasive woody vines. Disturbance of human origin was correlated with abundance of invasive trees. Signs of deer activity were common. Richness and number of growth forms of invasive plants were related to adjacent agricultural land cover. These data reveal that streamside forests are impacted by the interacting stressors of urbanization, climate change, and invasive species spread. Our results emphasize the importance of protection and restoration of forests in urban regions and point to the need for a social-ecological systems approach to improve their condition.

scholarly journals Occurrence of Invasive Plant in three phytogeographical region of Bilaspur district of Chhattisgarh

2017 ◽  
Vol 6 (12) ◽  
pp. 1872 ◽  
Author(s):  
Darakhsa Kauser Sheikh ◽  
Ashwini Kumar Dixit
Keyword(s):  
Invasive Species ◽  
Invasive Plants ◽  
Invasive Plant ◽  
Agricultural Land ◽  
Urban Land ◽  
Background Information ◽  
Comprehensive List ◽  
Agriculture Land ◽  
Tropical America ◽  
Maximum Proportion

The present study deals with comprehensive list of invasive species in the flora of Bilaspur district of Chhattisgarh, India with background information of family, nativity, mode of introduction, flowering and fruiting. 83 species of plant belongs to 26 families were documented as invasive plant in all three phytogeographical regions (agricultural land, urban land and protected land). Both native and invasive plants were found in the same region, but the occurrence of invasive species were found high in the urban land (34.58%) in comparison with protected land (29.16%) and agriculture land (25%). Habit wise analysis of invasive species showed 84.52% herbs, followed by 13.09% shrubs and 2.38% climbers. Maximum proportion of invasive plant are native to Tropical America and belongs to family Asteraceae (16), followed by Malvaceae (9), Euphorbiaceae (8), Fabaceae (6), Solanaceae (5), Convolvulaceae (4) and Lamiaceae (4). 

Interactions between invasive plants and heavy metal stresses: a review

2021 ◽  
Author(s):  
Jian Li ◽  
Zhanrui Leng ◽  
Yueming Wu ◽  
Yizhou Du ◽  
Zhicong Dai ◽  
...  
Keyword(s):  
Invasive Species ◽  
Invasive Plants ◽  
Native Plants ◽  
Escape Behavior ◽  
Negative Influence ◽  
Plant Litter ◽  
Global Changes ◽  
Native Plant ◽  
Anthropogenic Contamination ◽  
The Impact

Abstract Global changes have altered the distribution pattern of the plant communities, including invasive species. Anthropogenic contamination may reduce native plant resistance to the invasive species. Thus, the focus of the current review is on the contaminant biogeochemical behavior among native plants, invasive species and the soil within the plant-soil ecosystem to improve our understanding of the interactions between invasive plants and environmental stressors. Our studies together with synthesis of the literature showed that a) the impacts of invasive species on environmental stress were heterogeneous, b) the size of the impact was variable, and c) the influence types were multidirectional even within the same impact type. However, invasive plants showed self-protective mechanisms when exposed to heavy metals (HMs) and provided either positive or negative influence on the bioavailability and toxicity of HMs. On the other hand, HMs may favor plant invasion due to the widespread higher tolerance of invasive plants to HMS together with the “escape behavior” of native plants when exposed to toxic HM pollution. However, there has been no consensus on whether elemental compositions of invasive plants are different from the natives in the polluted regions. A quantitative research comparing plant, litter and soil contaminant contents between native plants and the invaders in a global context is an indispensable research focus in the future.

scholarly journals ASSESSMENT OF A 5-YEAR-OLD REHABILITATED RIPARIAN FOREST: IS IT ALREADY SUSTAINABLE?

2015 ◽  
Vol 39 (4) ◽  
pp. 603-610
Author(s):  
Vinícius Londe ◽  
Hildeberto Caldas de Sousa ◽  
Alessandra Rodrigues Kozovits
Keyword(s):  
Invasive Species ◽  
Invasive Plants ◽  
Riparian Forest ◽  
Canopy Openness ◽  
Management Actions ◽  
Minas Gerais State ◽  
Hemispherical Photographs ◽  
Exotic Invasive ◽  
Exotic Invasive Plants ◽  
Over Time

ABSTRACTAs important as the establishment of projects of ecological restoration is its assessment post-implementation to know whether the area is becoming self-sustainable or need to be redirected. In this way, this study aimed to know the current situation of a 5-year-old rehabilitated riparian forest,inserted in an anthropogenic impacted region,at the das Velhas River, Minas Gerais State, studying the canopy openness and recruitment of seedlings as plant indicators. 15 plots were allocated in the forest, where hemispherical photographs were taken to analyze the canopy openness and evaluate all seedlings from 0.30 m to 1.30 m height.Canopy openness ranged from 23.7% to 38.8% between seasons and only 192 seedlings were found,from 13 species, five of them exotic and aggressive. Although canopy openness was low, it seems that lateral penetration of light has been favoring the development and dominancy of plants from invasive species, whereas few native ones have been recruited. The exotic/invasive plants may compromise the success of restoration mainly by competition with native planted species. The outcomes evidenced an unsustainability of the riparian forest and the requirement of some management actions to control exotic and invasive plants and ensure the preservation of the area and its ecological roles over time.

scholarly journals Analyzing Urban Agriculture’s Contribution to a Southern City’s Resilience through Land Cover Mapping: The Case of Antananarivo, Capital of Madagascar

2020 ◽  
Vol 12 (12) ◽  
pp. 1962 ◽  
Author(s):  
Stéphane Dupuy ◽  
Laurence Defrise ◽  
Valentine Lebourgeois ◽  
Raffaele Gaetano ◽  
Perrine Burnod ◽  
...  
Keyword(s):  
Land Cover ◽  
Agricultural Land ◽  
Spatial Information ◽  
Urban Land ◽  
Urban Environments ◽  
Urban Systems ◽  
Systemic Analysis ◽  
Urban Land Cover ◽  
Functional Patterns ◽  
The City

High urbanization rates in cities lead to rapid changes in land uses, particularly in southern cities where population growth is fast. Urban and peri-urban agricultural land is often seen as available space for the city to expand, but at the same time, agricultural land provides many benefits to cities pertaining to food, employment, and eco-services. In this context, there is an urgent need to provide spatial information to support planning in complex urban systems. The challenge is to integrate analysis of agriculture and urban land-cover classes, and of their spatial and functional patterns. This paper takes up this challenge in Antananarivo (Madagascar), where agricultural plots and homes are interlocked and very small. It innovates by using a methodology already tested in rural settings, but never applied to urban environments. The key step of the analysis is to produce landscape zoning based on multisource satellite data to identify agri-urban functional areas within the city, and to explore their relationships. Our results demonstrate that the proposed classification method is well suited for mapping agriculture and urban land cover (overall accuracy = 76.56% for the 20 classes of level 3) in such a complex setting. The systemic analysis of urban agriculture patterns and functions can help policymakers and urban planners to design and build resilient cities.

scholarly journals Modelling landslide hazard under global change: the case of a Pyrenean valley

2020 ◽  
Author(s):  
Séverine Bernardie ◽  
Rosalie Vandromme ◽  
Yannick Thiery ◽  
Thomas Houet ◽  
Marine Grémont ◽  
...  
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Global Change ◽  
Land Cover ◽  
Slope Stability ◽  
Landslide Hazard ◽  
Forest Growth ◽  
Global Changes ◽  
Rcp 8.5 ◽  
Socioeconomic Scenarios

Abstract. Several studies have shown that global changes have important impacts in mountainous areas, since they affect natural hazards induced by hydro-meteorological events such as landslides. To estimate the capacity of mountainous valleys to cope with landslide hazard under global change (climate change as well as climate- and human-induced land use change), it is necessary to evaluate the evolution of the different components that define this type of hazard: topography, geology and geotechnics, hydrogeology and land cover. The present study evaluates, through an innovative methodology, the influence of both vegetation cover and climate change on landslide hazard in a Pyrenean valley from the present to 2100. Once the invariant features of the studied area, such as geology and topography, were set, we first focused on assessing future land use changes through the construction of four prospective socioeconomic scenarios and their projection to 2040 and 2100. These inputs were then used to spatially model land use and land cover (LUCC) information to produce multi-temporal LUCC maps. Then, climate change inputs were used to extract the water saturation of the uppermost layers, according to two greenhouse gas emissions scenarios. The impacts of land use and climate change based on these scenarios were then used to modulate the hydro-mechanical model to compute the factor of safety (FoS) and the hazard levels over the considered area. The results demonstrate the influence of land use on slope stability through the presence and type of forest. The resulting changes are significant despite being small and dependent on future land use linked to the socioeconomic scenarios. In particular, a reduction in human activity results in an increase in slope stability; in contrast, an increase in anthropic activity leads to an opposite evolution in the region, with some reduction in slope stability. Climate change may also have a significant impact in some areas because of the increase in the soil water content; the results indicate a reduction in the FoS in a large part of the study area, depending on the landslide typology considered. Therefore, even if future forest growth leads to slope stabilization, the evolution of the groundwater conditions will lead to destabilization. These changes are not uniform over the area and are particularly significant under the most extreme climate scenario, RCP 8.5. Compared to the current period, the size of the area that is prone to deep landslides is higher in the future than the area prone to small landslides (both rotational and translational). On the other hand, the increase rate of areas prone to landslides is higher for the small landslide typology than for the deep landslide typology. Interestingly, the evolution of extreme events is related to the frequency of the highest water filling ratio. The results indicate that the occurrences of landslide hazards in the near future (2021–2050 period, scenario RCP 8.5) and far future (2071–2100 period, scenario RCP 8.5) are expected to increase by factors of 1.5 and 4, respectively.

scholarly journals Climate change and invasive species: a physiological performance comparison of invasive and endemic bees in Fiji

2020 ◽  
pp. jeb.230326
Author(s):  
Carmen R. B. da Silva ◽  
Julian E. Beaman ◽  
James B. Dorey ◽  
Sarah J. Barker ◽  
Nicholas C. Congedi ◽  
...  
Keyword(s):  
Climate Change ◽  
Invasive Species ◽  
Invasive Plants ◽  
Thermal Tolerance ◽  
Performance Comparison ◽  
Desiccation Resistance ◽  
Metabolic Rates ◽  
Adaptive Potential ◽  
Tropical Island ◽  
Mixed Support

Anthropogenic climate change and invasive species are two of the greatest threats to biodiversity, affecting the survival, fitness and distribution of many species around the globe. Invasive species are often expected to have broad thermal tolerances, be highly plastic, or have high adaptive potential when faced with novel environments. Tropical island ectotherms are expected to be vulnerable to climate change as they often have narrow thermal tolerances and limited plasticity. In Fiji, only one species of endemic bee, Homalictus fijiensis, is commonly found in the lowland regions, but two invasive bee species, Braunsapis puangensis and Ceratina dentipes, have recently been introduced to Fiji. These introduced species pollinate invasive plants and might compete with H. fijiensis and other native pollinators for resources. To test whether certain performance traits promote invasiveness of some species, and to determine which species are the most vulnerable to climate change, we compared the thermal tolerance, desiccation resistance, metabolic rate, and seasonal performance adjustments of endemic and invasive bees in Fiji. The two invasive species tended to be more resistant to thermal and desiccation stress than H. fijiensis, while H. fijiensis had greater capacity to adjust their CTMAX with season, and H. fijiensis females tended to have higher metabolic rates, than B. puangensis females. These findings provide mixed support for current hypotheses for the functional basis of the success of invasive species, however, we expect the invasive bees in Fiji to be more resilient to climate change due to their increased thermal tolerance and desiccation resistance.

scholarly journals Temporally Generalizable Land Cover Classification: A Recurrent Convolutional Neural Network Unveils Major Coastal Change through Time

2021 ◽  
Vol 13 (19) ◽  
pp. 3953
Author(s):  
Patrick Clifton Gray ◽  
Diego F. Chamorro ◽  
Justin T. Ridge ◽  
Hannah Rae Kerner ◽  
Emily A. Ury ◽  
...  
Keyword(s):  
Neural Network ◽  
Climate Change ◽  
Deep Learning ◽  
Land Cover ◽  
Convolutional Neural Network ◽  
Agricultural Land ◽  
Coastal Areas ◽  
Support Vector ◽  
Validation Data

The ability to accurately classify land cover in periods before appropriate training and validation data exist is a critical step towards understanding subtle long-term impacts of climate change. These trends cannot be properly understood and distinguished from individual disturbance events or decadal cycles using only a decade or less of data. Understanding these long-term changes in low lying coastal areas, home to a huge proportion of the global population, is of particular importance. Relatively simple deep learning models that extract representative spatiotemporal patterns can lead to major improvements in temporal generalizability. To provide insight into major changes in low lying coastal areas, our study (1) developed a recurrent convolutional neural network that incorporates spectral, spatial, and temporal contexts for predicting land cover class, (2) evaluated this model across time and space and compared this model to conventional Random Forest and Support Vector Machine methods as well as other deep learning approaches, and (3) applied this model to classify land cover across 20 years of Landsat 5 data in the low-lying coastal plain of North Carolina, USA. We observed striking changes related to sea level rise that support evidence on a smaller scale of agricultural land and forests transitioning into wetlands and “ghost forests”. This work demonstrates that recurrent convolutional neural networks should be considered when a model is needed that can generalize across time and that they can help uncover important trends necessary for understanding and responding to climate change in vulnerable coastal regions.

scholarly journals Modelling landslide hazards under global changes: the case of a Pyrenean valley

2021 ◽  
Vol 21 (1) ◽  
pp. 147-169
Author(s):  
Séverine Bernardie ◽  
Rosalie Vandromme ◽  
Yannick Thiery ◽  
Thomas Houet ◽  
Marine Grémont ◽  
...  
Keyword(s):  
Climate Change ◽  
Land Cover ◽  
Slope Stability ◽  
Greenhouse Gas Emission ◽  
Water Saturation ◽  
Shallow Landslide ◽  
Forest Growth ◽  
Global Changes ◽  
Landslide Hazards ◽  
Socioeconomic Scenarios

Abstract. Several studies have shown that global changes have important impacts in mountainous areas, since they affect natural hazards induced by hydrometeorological events such as landslides. The present study evaluates, through an innovative method, the influence of both vegetation cover and climate change on landslide hazards in a Pyrenean valley from the present to 2100. We first focused on assessing future land use and land cover changes through the construction of four prospective socioeconomic scenarios and their projection to 2040 and 2100. Secondly, climate change parameters were used to extract the water saturation of the uppermost layers, according to two greenhouse gas emission scenarios. The impacts of land cover and climate change based on these scenarios were then used to modulate the hydromechanical model to compute the factor of safety (FoS) and the hazard levels over the considered area. The results demonstrate the influence of land cover on slope stability through the presence and type of forest. The resulting changes are statistically significant but small and dependent on future land cover linked to the socioeconomic scenarios. In particular, a reduction in human activity results in an increase in slope stability; in contrast, an increase in anthropic activity leads to an opposite evolution in the region, with some reduction in slope stability. Climate change may also have a significant impact in some areas because of the increase in the soil water content; the results indicate a reduction in the FoS in a large part of the study area, depending on the landslide type considered. Therefore, even if future forest growth leads to slope stabilization, the evolution of the groundwater conditions will lead to destabilization. The increasing rate of areas prone to landslides is higher for the shallow landslide type than for the deep landslide type. Interestingly, the evolution of extreme events is related to the frequency of the highest water filling ratio. The results indicate that the occurrences of landslide hazards in the near future (2021–2050 period, scenario RCP8.5) and far future (2071–2100 period, scenario RCP8.5) are expected to increase by factors of 1.5 and 4, respectively.

scholarly journals Influence of urban land cover changes and climate change for the exposure of European cities to flooding during high-intensity precipitation

2015 ◽  
Vol 370 ◽  
pp. 21-27 ◽  
Author(s):  
P. Skougaard Kaspersen ◽  
N. Høegh Ravn ◽  
K. Arnbjerg-Nielsen ◽  
H. Madsen ◽  
M. Drews
Keyword(s):  
Climate Change ◽  
Land Cover ◽  
High Intensity ◽  
Overland Flow ◽  
Urban Land ◽  
Land Cover Changes ◽  
Climate Change Scenarios ◽  
European Cities ◽  
Urban Land Cover ◽  
Pluvial Flooding

Abstract. The extent and location of impervious surfaces within urban areas due to past and present city development strongly affects the amount and velocity of run-off during high-intensity rainfall and consequently influences the exposure of cities towards flooding. The frequency and intensity of extreme rainfall are expected to increase in many places due to climate change and thus further exacerbate the risk of pluvial flooding. This paper presents a combined hydrological-hydrodynamic modelling and remote sensing approach suitable for examining the susceptibility of European cities to pluvial flooding owing to recent changes in urban land cover, under present and future climatic conditions. Estimated changes in impervious urban surfaces based on Landsat satellite imagery covering the period 1984–2014 are combined with regionally downscaled estimates of current and expected future rainfall extremes to enable 2-D overland flow simulations and flood hazard assessments. The methodology is evaluated for the Danish city of Odense. Results suggest that the past 30 years of urban development alone has increased the city's exposure to pluvial flooding by 6% for 10-year rainfall up to 26% for 100-year rainfall. Corresponding estimates for RCP4.5 and RCP8.5 climate change scenarios (2071–2100) are in the order of 40 and 100%, indicating that land cover changes within cities can play a central role for the cities' exposure to flooding and conversely also for their adaptation to a changed climate.

scholarly journals Effect of Climate Change on Land Degradation

2020 ◽  
pp. 483-494
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Land Cover ◽  
Global Climate Change ◽  
Land Degradation ◽  
Agricultural Land ◽  
Global Climate ◽  
Ecological Resources ◽  
Sequestration Potential ◽  
The Impact

Degradation currently affects 25 % of the land on Earth and 40 % of the agricultural land on Earth. Environmental effects of soil degradation are widespread, including increased soil losses, deterioration of water quality, decline of biodiversity and degradation of ecological resources and associated values, especially where actual land use is disrespectful (natural use in circumstances where land is in conflict with the environment. Changes in temperature, wind velocity, and precipitation patterns can affect the production of plant biomass, land use, land cover, soil moisture, infiltration rate, runoff and crop management, and eventually land degradation. In recent decades, powerful partnerships have been seen between global climate change and land loss processes. In order to reliably define or forecast the effect of climate change on the loss of land, models of climate change and land use models should be combined with hydrology. Until the first seventies land degradation and geological process weren't thought of a serious issue in most Mediterranean regions. Traditional agricultural systems were believed to be able to keep those processes under control. So low priority was appointed to research programmes and comes on eroding and conservation, preference being given to the impact of farm machinery on soil structure and compaction beside the role of organic matter within the soil. To regulate the destruction of soil, it is therefore important to have limited and global strategies and regulations. Land use and land cover changes influence carbon fluxes and GHGs emissions that directly alter atmospherical composition and radioactive forcing properties. Land degradation aggravates greenhouse gas-induced global climate change through the discharge of CO2 from cleared and dead vegetation and thru the reduction of the carbon sequestration potential of degraded land. The present analysis furnishes effects of climate amendment on land degradation.

Sign in / Sign up

Export Citation Format

Share Document