scholarly journals Quantifying Ecological Performance of Giant Panda Conservation: Evidence from Sichuan Province

Forests ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 1701
Author(s):  
Zhenjiang Song ◽  
Yi Li
Keyword(s):  
Land Use ◽  
Ecological Niche ◽  
Giant Panda ◽  
Structural Changes ◽  
Landscape Patterns ◽  
Ailuropoda Melanoleuca ◽  
Change Analysis ◽  
The Past ◽  
Land Use Types ◽  
Conservation Projects

The giant panda (Ailuropoda melanoleuca) is a symbolic and flagship species in the field of endangered wildlife conservation. We studied the changing and driving factors of landscape patterns in Sichuan giant panda habitats through image interpretation and ecological niche evaluation models. According to land-use and cover-change analysis, we also studied the structural changes in habitat over the past two decades and used empirical analysis to evaluate the relative ecological niche widths and overlap of giant panda distribution areas in 1995 and 2015. It is found the area of non-forested land decreased significantly from 1995 to 2015. It is interesting that the high-quality land-use types tended to decrease but low/middle-quality land-use types tended to increase over the past 20 years. Giant panda conservation projects in China have promoted changes in conservation thought and management, as well as the innovation of technical means over the studied period. The goals of Chinese giant panda conservation projects are not only to facilitate giant panda reproduction but also to alleviate the contradiction between conservation and development and promote the coexistence of humans and giant pandas.

scholarly journals THE LAND-USE AND LAND-COVER CHANGE ANALYSIS IN BEIJING HUAIROU IN LAST TEN YEARS

2018 ◽  
Vol XLII-3 ◽  
pp. 2391-2394
Author(s):  
Q. Zhao ◽  
G. Liu ◽  
J. Tu ◽  
Z. Wang
Keyword(s):  
Remote Sensing ◽  
Image Processing ◽  
Land Use ◽  
Land Cover Change ◽  
Object Oriented ◽  
Remote Sensing Images ◽  
Change Analysis ◽  
The Past ◽  
Land Use Types ◽  
Land Cover Change Analysis

With eCognition software, the sample-based object-oriented classification method is used. Remote sensing images in Huairou district of Beijing had been classified using remote sensing images of last ten years. According to the results of image processing, the land use types in Huairou district of Beijing were analyzed in the past ten years, and the changes of land use types in Huairou district were obtained, and the reasons for its occurrence were analyzed.

scholarly journals Effects of Climate and Land Use changes on Vegetation Dynamics in the Yangtze River Delta, China Based on Abrupt Change Analysis

2020 ◽  
Vol 12 (5) ◽  
pp. 1955
Author(s):  
Lei Wan ◽  
Huiyu Liu ◽  
Haibo Gong ◽  
Yujia Ren
Keyword(s):  
Land Use ◽  
Vegetation Dynamics ◽  
Abrupt Change ◽  
Land Use Changes ◽  
Yangtze River Delta ◽  
Change Analysis ◽  
Land Use Types ◽  
Natural Land ◽  
Abrupt Change Analysis ◽  
Relationship Of

Vegetation dynamics is thought to be affected by climate and land use changes. However, how the effects vary after abrupt vegetation changes remains unclear. Based on the Mann-Kendall trend and abrupt change analysis, we monitored vegetation dynamics and its abrupt change in the Yangtze River delta during 1982–2016. With the correlation analysis, we revealed the relationship of vegetation dynamics with climate changes (temperature and precipitation) pixel-by-pixel and then with land use changes analysis we studied the effects of land use changes (unchanged or changed land use) on their relationship. Results showed that: (1) the Normalized Vegetation Index (NDVI) during growing season that is represented as GSN (growing season NDVI) showed an overall increasing trend and had an abrupt change in 2000. After then, the area percentages with decreasing GSN trend increased in cropland and built-up land, mainly located in the eastern, while those with increasing GSN trend increased in woodland and grassland, mainly located in the southern. Changed land use, except the land conversions from/to built-up land, is more favor for vegetation greening than unchanged land use (2) after abrupt change, the significant positive correlation between precipitation and GSN increased in all unchanged land use types, especially for woodland and grassland (natural land use) and changed land use except built-up land conversion. Meanwhile, the insignificant positive correlation between temperature and GSN increased in woodland, while decreased in the cropland and built-up land in the northwest (3) after abrupt change, precipitation became more important and favor, especially for natural land use. However, temperature became less important and favor for all land use types, especially for built-up land. This research indicates that abrupt change analysis will help to effectively monitor vegetation trend and to accurately assess the relationship of vegetation dynamics with climate and land use changes.

scholarly journals Changes of Ecosystem Services and Landscape Patterns in Mountainous Areas: A Case Study in the Mentougou District in Beijing

2018 ◽  
Vol 10 (10) ◽  
pp. 3689
Author(s):  
Yang Yi ◽  
Mingchang Shi ◽  
Chunjiang Liu ◽  
Bin Wang ◽  
Hongzhang Kang ◽  
...  
Keyword(s):  
Land Use ◽  
Sustainable Development ◽  
Ecosystem Services ◽  
Retention Rate ◽  
Landscape Patterns ◽  
Vegetation Coverage ◽  
Water Yield ◽  
Mountainous Areas ◽  
The Sustainable Development ◽  
Land Use Types

Land use types have been strongly modified across mountainous areas. This has substantially altered the patterns and processes of ecosystems and the components of ecosystem services (ESs), and could in turn impact the sustainable development. In the mountainous Mentougou district of Beijing, we explored the changes in land use type (cropland, orchard, forested land, scrubland, grassland, bare land, water bodies, wasteland and built-up land), landscape patterns and ESs as well as their interactions during the past 30 years (1985–2014). The ESs included water yield (WY), carbon stocks (CS) and soil retention rate (SR). The results showed that 23.65% of the land use changed and the wasteland decreased by 80.87%. As for ESs, WY decreased by 47.32% since the year 2000, probably due to the increases in temperature and evapotranspiration. Although the decrease of forested land led to the decrease of CS, the increase of vegetation coverage improved SR. CS decreased by 0.99%from 1990 to 2014, and SR increased by 1.38% from 1985 to 2014. Landscape patterns became fragmented and dispersed, and MPS and CS, SHDI and SR were significantly negatively correlated. IJI and CS was positively correlated. This indicated that landscape patterns were highly correlated with ESs. In order to maintain the sustainable development of ESs, we should not only plan land use types, but also consider the rationality of landscape patterns.

scholarly journals The Landscape Patterns of the Giant Panda Protection Area in Sichuan Province and Their Impact on Giant Pandas

2019 ◽  
Vol 11 (21) ◽  
pp. 5993
Author(s):  
Qin ◽  
Huang ◽  
Liu ◽  
Chen ◽  
Zhang ◽  
...  
Keyword(s):  
Land Use ◽  
Economic Development ◽  
Giant Panda ◽  
Sichuan Province ◽  
Landscape Patterns ◽  
Human Populations ◽  
Resource Exploitation ◽  
Land Use Patterns ◽  
Giant Pandas ◽  
The Impact

As the flagship species of biodiversity conservation in China, the giant panda has significant ecological protection value and plays an important demonstrative role for conservation. Sichuan Province has the largest area of giant panda habitat, making its protected areas the most important for the conservation of this species. However, the habitats of the giant panda are shrinking due to human disturbance through land encroachment for agriculture and other forms of resource exploitation. Reducing these pressures requires assessing current land use and the causes of fragmenting giant panda habitats. This paper reports on changes in land-use patterns and socio-economic development in typical counties with giant panda habitats in Sichuan in 2003 and 2015, with a focus on giant panda protection areas and human pressures in the surrounding lands. We found that road construction, industrial infrastructure, and other forms of economic development have led to increases in human populations and fragmentation of the giant panda habitats, such that that the population of this species has been significantly reduced in some counties. Improving the protection of giant panda requires designing regional economic development activities based on scientific principles to provide benefits to both the local people and the giant pandas. For example, when making land use plans, the local government should consider the impact of the development of the communities surrounding the giant panda areas on the giant pandas’ habitat.

scholarly journals Polarimetric SAR Time-Series for Identification of Winter Land Use

Sensors ◽  
2019 ◽  
Vol 19 (24) ◽  
pp. 5574
Author(s):  
Julien Denize ◽  
Laurence Hubert-Moy ◽  
Eric Pottier
Keyword(s):  
Land Use ◽  
Time Series ◽  
Time Series Data ◽  
High Spatial Resolution ◽  
Synthetic Aperture ◽  
Series Data ◽  
Band Frequency ◽  
The Past ◽  
Land Use Types ◽  
L Band

In the past decade, high spatial resolution Synthetic Aperture Radar (SAR) sensors have provided information that contributed significantly to cropland monitoring. However, the specific configurations of SAR sensors (e.g., band frequency, polarization mode) used to identify land-use types remains underexplored. This study investigates the contribution of C/L-Band frequency, dual/quad polarization and the density of image time-series to winter land-use identification in an agricultural area of approximately 130 km² located in northwestern France. First, SAR parameters were derived from RADARSAT-2, Sentinel-1 and Advanced Land Observing Satellite 2 (ALOS-2) time-series, and one quad-pol and six dual-pol datasets with different spatial resolutions and densities were calculated. Then, land use was classified using the Random Forest algorithm with each of these seven SAR datasets to determine the most suitable SAR configuration for identifying winter land-use. Results highlighted that (i) the C-Band (F1-score 0.70) outperformed the L-Band (F1-score 0.57), (ii) quad polarization (F1-score 0.69) outperformed dual polarization (F1-score 0.59) and (iii) a dense Sentinel-1 time-series (F1-score 0.70) outperformed RADARSAT-2 and ALOS-2 time-series (F1-score 0.69 and 0.29, respectively). In addition, Shannon Entropy and SPAN were the SAR parameters most important for discriminating winter land-use. Thus, the results of this study emphasize the interest of using Sentinel-1 time-series data for identifying winter land-use.

scholarly journals A Detailed and High-Resolution Land Use and Land Cover Change Analysis over the Past 16 Years in the Horqin Sandy Land, Inner Mongolia

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Xiulian Bai ◽  
Ram C. Sharma ◽  
Ryutaro Tateishi ◽  
Akihiko Kondoh ◽  
Bayaer Wuliangha ◽  
...  
Keyword(s):  
Land Use ◽  
High Resolution ◽  
Land Cover ◽  
Inner Mongolia ◽  
Secondary Level ◽  
Horqin Sandy Land ◽  
Sandy Land ◽  
Change Analysis ◽  
Lulc Change ◽  
The Past

Land use and land cover (LULC) change plays a key role in the process of land degradation and desertification in the Horqin Sandy Land, Inner Mongolia. This research presents a detailed and high-resolution (30 m) LULC change analysis over the past 16 years in Ongniud Banner, western part of the Horqin Sandy Land. The LULC classification was performed by combining multiple features calculated from the Landsat Archive products using the Support Vector Machine (SVM) based supervised classification approach. LULC maps with 17 secondary classes were produced for the year of 2000, 2009, and 2015 in the study area. The results showed that the multifeatures combination approach is crucial for improving the accuracy of the secondary-level LULC classification. The LULC change analyses over three different periods, 2000–2009, 2009–2015, and 2000–2015, identified significant changes as well as different trends of the secondary-level LULC in study area. Over the past 16 years, irrigated farming lands and salinized areas were expanded, whereas the waterbodies and sandy lands decreased. This implies increasing demand of water and indicates that the conservation of water resources is crucial for protecting the sensitive ecological zones in the Horqin Sandy Land.

scholarly journals Landscape-Ecological Approach to Spatial Planning as a Tool to Minimize Socio-Ecological Conflicts: Case Study of Agrolandscape in the Taiga Zone of Russia

Land ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 192
Author(s):  
Alexander Khoroshev
Keyword(s):  
Land Use ◽  
Landscape Heterogeneity ◽  
Landscape Planning ◽  
Landscape Patterns ◽  
Communication Process ◽  
Geochemical Data ◽  
Taiga Zone ◽  
Space Images ◽  
Geochemical Environment ◽  
Land Use Types

Landscape heterogeneity generates significant influences on economic activity. Present-day publications in landscape planning focus more and more on a participatory approach and a communication process. By contrast, we focus on nature-based criteria aimed at proper adaptation of planning decisions to natural landscape patterns. The paper proposes the framework aimed at considering geographical context, matter flows, and dynamic processes in projecting ecological network and perfect sites for various land use types as well as for choosing appropriate technologies. We use the example of a river basin in the taiga zone of European Russia, partially used for forestry and traditional agriculture. A landscape map, space images, and geochemical data are used to provide rationales for the necessary emergent effects resulting from proper proportions, neighborhoods, buffers, and shapes for lands use units. The proposed spatial arrangement of land use types and technologies ensures the coordination of socio-economic and ecological interests and preserves zonal background conditions, including runoff, soils, migration routes, and biodiversity. The allocation of arable lands and cutovers is aimed at minimizing undesirable matter flows that could cause qualitative changes in the geochemical environment.

scholarly journals Adjacent terrestrial landscapes impact the biogeographical pattern of soil Escherichia coli in produce fields by modifying the importance of environmental selection and dispersal

2020 ◽  
Author(s):  
Jingqiu Liao ◽  
Peter Bergholz ◽  
Martin Wiedmann
Keyword(s):  
Escherichia Coli ◽  
Land Use ◽  
New York State ◽  
Enteric Bacteria ◽  
Landscape Patterns ◽  
E Coli ◽  
Biogeographic Pattern ◽  
Environmental Selection ◽  
Forest Sites ◽  
Land Use Types

ABSTRACTHigh-quality habitats for wildlife (e.g., forest) provide essential ecosystem services while increasing species diversity and habitat connectivity. Unfortunately, presence of such habitats adjacent to produce fields may increase risk for contamination of fruits and vegetables by enteric bacteria, including Escherichia coli. E. coli survives in extra-host environments (e.g., soil) and could disperse across landscapes by wildlife. Understanding how terrestrial landscapes impact the distribution of soil E. coli is of importance in assessing the contamination risk of agricultural products. Here, using multi-locus sequence typing, we characterized 938 E. coli soil isolates collected from two watersheds with different landscape patterns in New York state, USA, and compared the distribution of E. coli and the influence of two ecological forces (environmental selection and dispersal) on the distribution between these two watersheds. Results showed that for the watershed with widespread produce fields, sparse forests, and limited interaction between the two land-use types, E. coli composition was significantly different between produce field sites and forest sites; this distribution was shaped by relatively strong environmental selection likely from soil phosphorus and slight dispersal limitation. For the watershed with more forested areas and stronger interaction between produce field sites and forest sites, E. coli composition between these two land-use types was relatively homogeneous; this distribution appeared to a consequence of wildlife-driven dispersal, inferred by competing models. Collectively, our results suggest that terrestrial landscape attributes could impact the biogeographic pattern of enteric bacteria by adjusting the importance of environmental selection and dispersal.IMPORTANCEUnderstanding the ecology of enteric bacteria in extra-host environments is important to allow for development and implementation of strategies to minimize pre-harvest contamination of produce with enteric pathogens. Our findings suggest that watershed landscape is an important factor influencing the importance of ecological drivers and dispersal patterns of E. coli. For watersheds with widespread produce fields, E. coli appears to experience local adaptation, possibly due to exposure to environmental stresses associated with agricultural activities. In contrast, for watersheds with high forest coverage we found evidence for wildlife-driven dispersal of E. coli, which might facilitate more frequent genetic exchange in this environment. Agricultural areas in such watersheds may have a higher risk of produce contamination due to less environmental constraints and higher potential of dispersal of enteric bacteria between locations. The significance of our research lies in exploring ecological principles underlying the biogeographic pattern of enteric bacteria at the regional level, which can inform agricultural, environmental and public health scientists that aim to reduce the risk of food contamination by enteric bacteria.

scholarly journals On Landscape Patterns in Typical Mountainous Counties Middle Reaches of the Yangtze River in China

2021 ◽  
Vol 18 (8) ◽  
pp. 4000
Author(s):  
Yang Yi ◽  
Mingchang Shi ◽  
Chunjiang Liu ◽  
Hongzhang Kang ◽  
Bin Wang
Keyword(s):  
Land Use ◽  
Yangtze River ◽  
Patch Size ◽  
Natural Circulation ◽  
Landscape Patterns ◽  
The Yangtze River ◽  
Natural Forests ◽  
Human Disturbances ◽  
Zonal Distribution ◽  
Land Use Types

The landscape patterns of plantations (PT) are the results of human disturbances on local vegetation, and in turn, differ greatly from natural forests (NF), since the patterns strongly influence the natural circulation of material and energy. There is a need to understand the differences of landscape patterns between PT and NF, to establish a near natural afforestation strategy. This study chose three typical silvicultural counties in the middle reaches of the Yangtze River as the research areas and compared the landscape patterns of NF and PT, with other land use types (grassland, GL; cropland, CL; shrubland, SL; orchard, OR; built-up land, BUL; bare land, BL; and water bodies, WB). The results revealed that the areas of PT accounted for 7.67%, 12.05%, and 18.97% of three counties, bigger than GL, OC, BUL, BL, and WB, as one of main land use types. The landscape patterns of PT (mean patch size between 2.06 to 6.05 ha) were more fragmented than NF (mean patch size between 5.83 to 53.91 ha). NF areas increased along the relative altitude gradient, from 0 to 2500 m, while PT areas peaked from 100–1000 m. The higher the altitude, the more typical the zonal distribution of PT, the more aggregated the NF. NF had significant negative correlations with BL, BUL, CL, PT, GL, and OC, which suggest that human activities had seriously interfered with NF. Although PT as an ecological protection strategy was increasing, the landscape patterns of PT were obviously different from NF. This may affect the material energy flow in the ecological environment. The results in the present study have great implications in the other regions in China and the relevant parts of the world where natural forests were heavily disturbed.

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