Anthropic land use and vegetation dynamics in mountain areas of Cavargna Valley (Lepontine Alps, Lombardy, N-Italy) during the Holocene

2012 ◽  
Vol 279-280 ◽  
pp. 83
Author(s):  
Lanfredo Castelletti
Keyword(s):  
Land Use ◽  
Vegetation Dynamics ◽  
Mountain Areas ◽  
The Holocene ◽  
Lepontine Alps

THE AFFECT OF LAND USE CHANGE ON STABLE ISOTOPE (δ13C AND δ15N) VALUES IN CONNECTICUT WETLANDS DURING THE HOLOCENE

2016 ◽  
Author(s):  
Caitlin T. McManimon ◽  
◽  
David P. Gillikin ◽  
William B. Ouimet ◽  
Michael T. Hren ◽  
...  
Keyword(s):  
Land Use ◽  
Stable Isotope ◽  
Land Use Change ◽  
Δ13c And Δ15n ◽  
The Holocene

scholarly journals The Influence of Land Use Change on Key Ecosystem Services and Their Relationships in a Mountain Region from Past to Future (1995–2050)

Forests ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 616
Author(s):  
Jie Gao ◽  
Xuguang Tang ◽  
Shiqiu Lin ◽  
Hongyan Bian
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Land Use Change ◽  
Sustainable Land Use ◽  
Mountain Region ◽  
Water Yield ◽  
Mountain Regions ◽  
Mountain Areas ◽  
The Government ◽  
Steep Slopes

The ecosystem services (ESs) provided by mountain regions can bring about benefits to people living in and around the mountains. Ecosystems in mountain areas are fragile and sensitive to anthropogenic disturbance. Understanding the effect of land use change on ESs and their relationships can lead to sustainable land use management in mountain regions with complex topography. Chongqing, as a typical mountain region, was selected as the site of this research. The long-term impacts of land use change on four key ESs (i.e., water yield (WY), soil conservation (SC), carbon storage (CS), and habitat quality (HQ)) and their relationships were assessed from the past to the future (at five-year intervals, 1995–2050). Three future scenarios were constructed to represent the ecological restoration policy and different socioeconomic developments. From 1995 to 2015, WY and SC experienced overall increases. CS and HQ increased slightly at first and then decreased significantly. A scenario analysis suggested that, if the urban area continues to increase at low altitudes, by 2050, CS and HQ are predicted to decrease moderately. However, great improvements in SC, HQ, and CS are expected to be achieved by the middle of the century if the government continues to make efforts towards vegetation restoration on the steep slopes.

Shifts in wind energy potential following land-use driven vegetation dynamics in complex terrain

2018 ◽  
Vol 639 ◽  
pp. 374-384 ◽  
Author(s):  
Jiannong Fang ◽  
Alexander Peringer ◽  
Mihai-Sorin Stupariu ◽  
Ileana Pǎtru-Stupariu ◽  
Alexandre Buttler ◽  
...  
Keyword(s):  
Land Use ◽  
Wind Energy ◽  
Vegetation Dynamics ◽  
Complex Terrain ◽  
Energy Potential ◽  
Wind Energy Potential

A multiproxy reconstruction of vegetation dynamics in the Eastern Alps (Switzerland): combining paleoecological and paleogenetic approaches.

2021 ◽  
Author(s):  
Laura Dziomber ◽  
Lisa Gurtner ◽  
Maria Leunda ◽  
Christoph Schwörer
Keyword(s):  
Climate Change ◽  
Ancient Dna ◽  
Vegetation Dynamics ◽  
Population Decline ◽  
Future Climate ◽  
Ice Age ◽  
Future Climate Change ◽  
The Holocene ◽  
Plant Remains ◽  
The Impact

<p>Current and future climate change is a serious threat to biodiversity and ecosystem stability. With a rapid increase of global temperatures by 1.5°C since the pre-industrial period and a projected warming of 1.5-4°C by the end of this century, plant species are forced to either adapt to these changes, shift their distribution range to higher elevation, or face population decline and extinction. Today, there is an urgent need to better understand the responses of mountain vegetation to climate change in order to predict the consequences of the human-driven global change currently occurring during the Anthropocene and maintain species diversity and ecosystem services. However, most predictions are based on short-term experiments. There is, in general, an insufficient use of longer time scales in conservation biology to understand long-term processes. Palaeoecological data are a great source of information to infer past species responses to changing environmental factors, such as climate or anthropogenic disturbances.</p><p>The last climate change of a similar magnitude and rate as projected for this century was the transition between the last Ice Age and the Holocene interglacial (ca. 11,700 years ago). By analyzing subfossil plant remains such as plant macrofossils, charcoal and pollen from natural archives, we can study past responses to climate change. However, until recently it was not possible to reconstruct changes at the population level. With the development of new methods to extract ancient DNA (aDNA) from plant remains and next generation DNA-sequencing techniques, we can now infer past population dynamics by analyzing the genetic variation through time. Ancient DNA might also be able to reveal if species could adapt to climatic changes by identifying intraspecific variation of specific genes related to climatic adaptations.</p><p>We are currently investigating a palaeoecological archive from a high-altitude mountain lake, Lai da Vons (1991 m a.s.l), situated in Eastern Switzerland. We are presenting preliminary macrofossil, pollen and charcoal results to reconstruct local to regional vegetation and fire dynamics with high chronological precision and resolution. In a next step, we will use novel molecular methods, in order to track adaptive and neutral genetic diversity through the Holocene by analyzing aDNA from subfossil conifer needles. The overarching goal of this large-scale, multiproxy study is to better understand past vegetation dynamics and the impact of future climate change on plants at multiple scales; from the genetic to the community level.</p><p> </p>

Research of Land Use Efficiency in Mountainous Township Based on the Methods of DEA

2012 ◽  
Vol 209-211 ◽  
pp. 507-511
Author(s):  
Yu He ◽  
Li Li Huo
Keyword(s):  
Land Use ◽  
Industrial Structure ◽  
Living Environment ◽  
Scale Efficiency ◽  
Mountain Areas ◽  
Land Use Efficiency ◽  
Study Results ◽  
Close Relationship ◽  
Output Efficiency ◽  
Use Efficiency

Town land is the carrier of town’s economy, society and environment, and its land use efficiency has a close relationship with town’s economic development as well as living environment construction. This study selects towns of Zigui County as research objects to explore characteristics of land use efficiency in mountain areas. The study results show that: 1) Maoping, Lianghekou, Meijiahe and Moping, of which technical efficiency and scale efficiency equal to 1, achieve the best condition of land use efficiency. 2) In Quyuan, Guizhou, Shuitianba, Xietan and Zhouping, moderately enlarging towns’ scale will be helpful to strengthen agglomeration economy effect, and improve towns land use efficiency. While in Shazhengxi, Yanglinqiao and Guojiaba, it needs to decrease these towns’ scale moderately to prevent the waste of resource. 3) Inputs’ inefficiency and outputs’ insufficiency are the main factors result in the differences of input and output efficiency. 4) Accelerate Industrial Restructuring, optimize Industrial Structure, improve service efficiency of fixed assets investments, appropriately control the scale of construction land are the most important way to improve land use efficiency in Zigui County.

scholarly journals Representation of fire, land-use change and vegetation dynamics in the Joint UK Land Environment Simulator vn4.9 (JULES)

2019 ◽  
Vol 12 (1) ◽  
pp. 179-193 ◽  
Author(s):  
Chantelle Burton ◽  
Richard Betts ◽  
Manoel Cardoso ◽  
Ted R. Feldpausch ◽  
Anna Harper ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Land Cover ◽  
Vegetation Cover ◽  
Land Surface ◽  
Vegetation Dynamics ◽  
Fire Disturbance ◽  
Substantial Contribution ◽  
Surface Model ◽  
The Impact

Abstract. Disturbance of vegetation is a critical component of land cover, but is generally poorly constrained in land surface and carbon cycle models. In particular, land-use change and fire can be treated as large-scale disturbances without full representation of their underlying complexities and interactions. Here we describe developments to the land surface model JULES (Joint UK Land Environment Simulator) to represent land-use change and fire as distinct processes which interact with simulated vegetation dynamics. We couple the fire model INFERNO (INteractive Fire and Emission algoRithm for Natural envirOnments) to dynamic vegetation within JULES and use the HYDE (History Database of the Global Environment) land cover dataset to analyse the impact of land-use change on the simulation of present day vegetation. We evaluate the inclusion of land use and fire disturbance against standard benchmarks. Using the Manhattan metric, results show improved simulation of vegetation cover across all observed datasets. Overall, disturbance improves the simulation of vegetation cover by 35 % compared to vegetation continuous field (VCF) observations from MODIS and 13 % compared to the Climate Change Initiative (CCI) from the ESA. Biases in grass extent are reduced from −66 % to 13 %. Total woody cover improves by 55 % compared to VCF and 20 % compared to CCI from a reduction in forest extent in the tropics, although simulated tree cover is now too sparse in some areas. Explicitly modelling fire and land use generally decreases tree and shrub cover and increases grasses. The results show that the disturbances provide important contributions to the realistic modelling of vegetation on a global scale, although in some areas fire and land use together result in too much disturbance. This work provides a substantial contribution towards representing the full complexity and interactions between land-use change and fire that could be used in Earth system models.

Sign in / Sign up

Export Citation Format

Share Document