scholarly journals Investigating the impact of classification features and classifiers on crop mapping performance in heterogeneous agricultural landscapes

Author(s):  
Huanxue Zhang ◽  
Yuji Wang ◽  
Jiali Shang ◽  
Mingxu Liu ◽  
Qiangzi Li
PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0247400
Author(s):  
Manisha Bhardwaj ◽  
Kylie Soanes ◽  
José J. Lahoz-Monfort ◽  
Linda F. Lumsden ◽  
Rodney van der Ree

Traffic disturbances (i.e. pollution, light, noise, and vibrations) often extend into the area surrounding a road creating a ‘road-effect zone’. Habitat within the road-effect zone is degraded or, in severe cases, completely unsuitable for wildlife, resulting in indirect habitat loss. This can have a disproportionate impact on wildlife in highly modified landscapes, where remaining habitat is scarce or occurs predominantly along roadside reserves. In this study, we investigated the road-effect zone for insectivorous bats in highly cleared agricultural landscapes by quantifying the change in call activity with proximity to three major freeways. The activity of seven out of 10 species of bat significantly decreased with proximity to the freeway. We defined the road-effect zone to be the proximity at which call activity declined by at least 20% relative to the maximum detected activity. The overall road-effect zone for bats in this region was 307 m, varying between 123 and 890 m for individual species. Given that this road-effect zone exceeds the typical width of the roadside verges (<50 m), it is possible that much of the vegetation adjacent to freeways in this and similar landscapes provides low-quality habitat for bats. Without accounting for the road-effect zone, the amount of habitat lost or degraded due to roads is underestimated, potentially resulting in the loss of wildlife, ecosystem services and key ecosystem processes (e.g. predator-prey or plant-pollinator interactions) from the landscape. We suggest all future environmental impact assessments include quantifying the road-effect zone for sensitive wildlife, in order to best plan and mitigate the impact of roads on the environment. Mitigating the effects of new and existing roads on wildlife is essential to ensure enough high-quality habitat persists to maintain wildlife populations.


2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Mamush Masha ◽  
Teshome Yirgu ◽  
Mulugeta Debele ◽  
Mengie Belayneh

Soil and water conservation (SWC) is being advocated as an integral part of agricultural land management as it not only controls/minimizes soil erosion but also restores/rehabilitates the degraded lands. The purpose of this study was to evaluate the impact of soil and water conservation practices in improving soil fertility in the agricultural landscapes of the Damota area, southern Ethiopia. Forty-eight soil samples (both disturbed and core samples) were collected from the conserved and adjacent nonconserved plots. The significance analysis test was performed using analysis of variance. The result of the study showed that higher mean values of soil physicochemical properties were observed in the conserved plot than its nonconserved counterpart. The mean differences of organic carbon, total nitrogen, cation exchange capacity, and exchangeable K+ and Ca2+ between conserved and nonconserved plots were statistically significant at the P < 0.01 level. Besides, available phosphorous and bulk density were significant at P < 0.05 , but the effect of SWC practices was not found significant on soil texture, soil pH, and exchangeable Na+ and Mg2+ content of the soil in the Damota area. Community-based soil and water conservation practices have improved the soil fertility in agricultural landscapes, although significant results have been observed in some fertility indicators. Therefore, strengthening the implementation of conservation measures by participating in all stakeholders is recommended. Supporting physical structures by agronomic and vegetative measures and continued maintenance can bring better results.


Author(s):  
Tatiana Kaletová ◽  
Luis Loures ◽  
Rui Alexandre Castanho ◽  
Elena Aydin ◽  
José Telo da Gama ◽  
...  

Ecosystem services (ES), as an interconnection of the landscape mosaic pieces, along with temporal rivers (IRES) are an object of research for environmental planners and ecological economists, among other specialists. This study presents (i) a review on the importance of IRES and the services they can provide to agricultural landscapes; (ii) a classification tool to assess the impact of IRES to provide ES by agricultural landscapes; (iii) the application of the proposed classification to the Caia River in order to identify the importance of this intermittent river for its surrounding agricultural landscape. The classification of the ES follows the Common International Classification of Ecosystem (CICES) classification that was adapted for the purposes of this study. Firstly, the list of ES provided by agricultural landscape was elaborated. In the next step, we assessed the potential of IRES to provide ES. Next, IRES impacts to ES within the agricultural landscape were evaluated according to observations from the conducted field monitoring in the study area. This study focuses on the relevance of the intermittent Caia River—a transboundary river in Spain and Portugal—and its ephemeral tributaries in the agricultural landscape. Our study estimates that each hydrological phase of IRES increases the ES provided by the agricultural landscape. However, the dry phase can potentially have negative impacts on several services. The intensification of the agricultural sector is the main provision of the water resource within the Caia River basin, but we were able to identify several other ES that were positively impacted. The present study is in line with the conclusions of other authors who state that IRES constitute a valuable resource which should not be underestimated by society.


2017 ◽  
Vol 21 (11) ◽  
pp. 5693-5708 ◽  
Author(s):  
Jordi Etchanchu ◽  
Vincent Rivalland ◽  
Simon Gascoin ◽  
Jérôme Cros ◽  
Tiphaine Tallec ◽  
...  

Abstract. Agricultural landscapes are often constituted by a patchwork of crop fields whose seasonal evolution is dependent on specific crop rotation patterns and phenologies. This temporal and spatial heterogeneity affects surface hydrometeorological processes and must be taken into account in simulations of land surface and distributed hydrological models. The Sentinel-2 mission allows for the monitoring of land cover and vegetation dynamics at unprecedented spatial resolutions and revisit frequencies (20 m and 5 days, respectively) that are fully compatible with such heterogeneous agricultural landscapes. Here, we evaluate the impact of Sentinel-2-like remote sensing data on the simulation of surface water and energy fluxes via the Interactions between the Surface Biosphere Atmosphere (ISBA) land surface model included in the EXternalized SURface (SURFEX) modeling platform. The study focuses on the effect of the leaf area index (LAI) spatial and temporal variability on these fluxes. We compare the use of the LAI climatology from ECOCLIMAP-II, used by default in SURFEX-ISBA, and time series of LAI derived from the high-resolution Formosat-2 satellite data (8 m). The study area is an agricultural zone in southwestern France covering 576 km2 (24 km  ×  24 km). An innovative plot-scale approach is used, in which each computational unit has a homogeneous vegetation type. Evaluation of the simulations quality is done by comparing model outputs with in situ eddy covariance measurements of latent heat flux (LE). Our results show that the use of LAI derived from high-resolution remote sensing significantly improves simulated evapotranspiration with respect to ECOCLIMAP-II, especially when the surface is covered with summer crops. The comparison with in situ measurements shows an improvement of roughly 0.3 in the correlation coefficient and a decrease of around 30 % of the root mean square error (RMSE) in the simulated evapotranspiration. This finding is attributable to a better description of LAI evolution processes with Formosat-2 data, which further modify soil water content and drainage of soil reservoirs. Effects on annual drainage patterns remain small but significant, i.e., an increase roughly equivalent to 4 % of annual precipitation levels with simulations using Formosat-2 data in comparison to the reference simulation values. This study illustrates the potential for the Sentinel-2 mission to better represent effects of crop management on water budgeting for large, anthropized river basins.


2006 ◽  
Vol 46 (10) ◽  
pp. 1379 ◽  
Author(s):  
A. Tsitsilas ◽  
S. Stuckey ◽  
A. A. Hoffmann ◽  
A. R. Weeks ◽  
L. J. Thomson

The homogenous nature of agricultural landscapes generally reduces biodiversity of invertebrate species, but this can be partly offset by developing refuges at field margins. In Australia, shelterbelts are widely planted to provide protection for livestock and to counter salinity problems associated with rising water tables. Shelterbelts may also play a role in acting as reservoirs for organisms that are beneficial to pastures, although this has rarely been directly evaluated. We sampled invertebrates along transects running from replicated shelterbelts into pastures, and in glasshouse trials we tested the impact of the beneficial organisms from the shelterbelts on the collected pests. Contrary to popular views, numbers of pest mites and lucerne fleas were low within shelterbelts. Moreover, numbers were typically lower adjacent to shelterbelts compared with >30 m into the pasture, an effect that was much more apparent when shelterbelts carried a groundcover of high (>30 cm) grass. Numbers of predatory mites and spiders were higher in shelterbelts and in adjacent pasture when there was taller grass and higher grass cover in the shelterbelts. Samples of potential predators collected from a shelterbelt were more effective at suppressing pest mite numbers than those collected in pasture. Shelterbelts with ground cover appear to harbour a diversity of beneficial organisms that suppress pest numbers in adjacent pastures.


2014 ◽  
Vol 6 (9) ◽  
pp. 8541-8564 ◽  
Author(s):  
Louise Leroux ◽  
Audrey Jolivot ◽  
Agnès Bégué ◽  
Danny Seen ◽  
Bernardin Zoungrana

2008 ◽  
Vol 35 (3) ◽  
pp. 211-220 ◽  
Author(s):  
JEREMY KOSTER

SUMMARYAlthough they are used throughout the Neotropics, the impact of dogs on the composition of wildlife harvests has received little systematic attention. In the Bosawas Biosphere Reserve of Nicaragua, indigenous hunters rely heavily on dogs to locate prey. Hunting harvest data over a year-long period in two indigenous Mayangna and Miskito communities indicate that the use of hunting dogs is significantly associated with the harvests of several terrestrial mammalian species. The use of dogs is also a significant predictor of the extent to which the species composition of harvests deviates from Neotropical averages. Although dogs appear to have little effect on the sex profiles of harvested game species, the use of dogs is significantly associated with hunting in agricultural landscapes. From a conservation perspective, the disadvantages of dogs include their indiscriminate pursuit of prey species, including species that hunters would not otherwise pursue. Advantages of dogs include their relative ineffectiveness in pursuits of species that are particularly vulnerable to overhunting, such as primates and white-lipped peccaries (Tayassu pecari). Hunting dogs may be an economical option for many Neotropical societies, and their role in wildlife management plans merits increased attention from conservationists.


2017 ◽  
Author(s):  
Jordi Etchanchu ◽  
Vincent Rivalland ◽  
Simon Gascoin ◽  
Jérôme Cros ◽  
Aurore Brut ◽  
...  

Abstract. Agricultural landscapes often include a patchwork of crop fields whose seasonal evolution is dependent on specific crop rotation patterns and phenologies. This temporal and spatial heterogeneity affects surface hydrometeorological processes as simulated by land surface and distributed hydrological models. Sentinel-2 mission satellite remote sensing products allow for the monitoring of land cover and vegetation dynamics at unprecedented spatial resolutions and revisit frequencies (20 m and 5 days, respectively) that are fully compatible with such heterogeneous agricultural landscapes. Here, we evaluate the impact of Sentinel-2-like remote sensing data on the simulation of surface water and energy flux via the ISBA-SURFEX land surface model. The study area is a 24 km by 24 km agricultural zone in southwestern France. An initial reference simulation was conducted from 2006–2010 using the ECOCLIMAP-II database. This global numerical land ecosystem database was created at a 1 km resolution and includes an ecosystem classification with a consistent set of land surface parameters required for the model, such as the Leaf Area Index (LAI) and albedo measures. The LAI of ECOCLIMAP is climatologic and derived from a 2000–2005 analysis of MODIS satellite products. This low resolution induces that several vegetation covers can be mixed in a model cell. The climatic construction of LAI dynamics also suggests that there is no interannual variability in the vegetation cycle. A second simulation was performed by forcing the same model with annual land cover maps and monthly LAI values derived from a series of 105 8 m-resolution Formosat-2 images for the same period. Both simulations were conducted at the parcel scale, i.e., a computation unit covers an area of connected pixels of the same vegetation type (a crop field, forest patch, etc.). To evaluate our simulations, we used in situ measurements of evapotranspiration and latent and sensible heat flux from two eddy covariance stations in the study area. Our results show that the use of Formosat-2 high-resolution products significantly improves simulated evapotranspiration results with respect to ECOCLIMAP-II, especially when a surface is covered with summer crops (the correlation coefficient with monthly measurements is increased by roughly 0.3 and the root mean square error is decreased by roughly 31 %). This finding is attributable to a better description of LAI evolution processes reflected by Formosat-2 data, which further modify soil water content and drainage levels of deep soil reservoirs. Effects on annual drainage patterns remain small but significant, i.e., an increase roughly equivalent to 4 % of annual precipitation levels from Formosat-2 data in comparison to reference values. In smaller proportions, runoff is also increased by roughly 1 % of annual precipitation when using Formosat-2 data. This study illustrates the potential for the Sentinel-2 mission to better represent effects of crop management on water budgeting for large, anthropized river basins.


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