Relationships between empirical and nominal indices of landscape function in the arid shrubland of Western Australia

Holm, Alexander McR.; Bennett, Lauren T.; Loneragan, William A.; Adams, Mark A.

doi:10.1006/jare.2001.0856

Cited by 46 publications

(31 citation statements)

References 59 publications

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“…The study area, within the arid rangeland of Western Australia, is described in Holm et al (2001). This rangeland is typified by low-shrubland and low-woodland community-types (Burnside et al, 1995).…”

Section: The Study Areamentioning

confidence: 99%

“…These areas contained mostly single trees and isolated shrubs growing higher in the general landscape and will be referred to as 'upland'. Pairs of sampling domains were located in areas of nominally 'high' and 'low' grazing impact, one pair within the Murchison River Catchment and the other pair within the north-eastern Goldfields (see Holm et al, 2001 for locations of sampling domains and other details of how sites were selected). Each sampling domain was divided into grids, with north/south and east/west lines 6)25 km apart, potentially providing 25 grid-points for sampling (see Table 1 for distribution of grid-points to the three community-types).…”

Section: Sites and Sampling Designmentioning

confidence: 99%

“…Furthermore, characterization of 'landscape function' is as yet neither easy nor reliable. While, measures of patch-scale heterogeneity, including the proportional area of vegetated patches and 'gap size', are accepted as reliable indicators of landscape function at patch-mosaic scales (Ewel, 1997;Schlesinger & Pilmanis, 1998;Whitford et al, 1998;Holm et al, 2001), other indicators, such as concentrations of soil nutrients in surface soil (Evans & Ehleringer, 1994), together with suggested rating systems (Tongway, 1995), may be useful at certain levels in the landscape hierarchy, but currently produce ambiguous results (Sala & Aguiar, 1995;Holm et al, 2001). On the other hand, the capacity of landscapes to convert rainfall and nutrients into biomass is perhaps the strongest single index of landscape function, since it incorporates both biotic (e.g.…”

Section: Introductionmentioning

confidence: 98%

“…In this study, growth of vegetation in response to rainfall is examined across nearly 100 sites in the arid shrubland of Western Australia and is related to suggested measures of landscape function (Holm et al, 2001) at patch and patch-mosaic scales (Reynolds et al, 1997). These sites include both low-shrubland and low-woodland communities that have been variously perturbed by livestock grazing (Curry et al, 1994;Pringle et al, 1994).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Do variations on a model of landscape function assist in interpreting the growth response of vegetation to rainfall in arid environments?

Holm

Loneragan

Adams

2002

Journal of Arid Environments

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Section: The Study Areamentioning

confidence: 99%

Section: Sites and Sampling Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Do variations on a model of landscape function assist in interpreting the growth response of vegetation to rainfall in arid environments?

Holm

Loneragan

Adams

2002

Journal of Arid Environments

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“…Critical management questions currently revolve around the characteristics of spatial arrangement, namely, the pattern and size of patches of vegetation and gaps between patches or individual plots Holm et al, 2002). These spatial characteristics, which are highly correlated with erosion risk and wildlife habitat quality, cannot be resolved by QuickBird (Figure za).…”

Section: Data Acquisition and Analysismentioning

confidence: 99%

Research Article: Using Unmanned Aerial Vehicles for Rangelands: Current Applications and Future Potentials

Rango

Laliberte

Steele

et al. 2006

Environmental Practice

168

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H igh resolution aerial photographs have important rangeland applications, such as monitoring vegetation change, developing grazing management practices, determining rangeland health and condition, and assessing remediation treatment effectiveness (Rango and Havstad, 2003). Unmanned Aerial Vehicles (UAVs) have several advantages over piloted aircraft for acquiring high resolution images. These advantages include a less expensive remote sensing platform, improved safety for operators, and a more rapid deployment capability than piloted aircraft.Most applications of UAVs in rangeland areas, which make up 50% to 70% of the world's land surface (Holechek, Pieper, and Herbel, 1995), only require simple high resolution photography and thermal infrared imagery that can be provided with existing sensors over selected sites. Unmanned Aerial Vehicle flight requirements over rangeland are also simple, with slow flight speeds, low altitudes, and flight durations of two to six hours usually being adequate. Such capabilities should be sufficient to satisfy the need for high resolution photography of remote rangeland areas. Satellite and piloted aircraft missions (both high and low altitudes) have provided excellent data for rangeland applications, but a major gap exists between these large area coverages and boom-mounted vertical ground photography of small areas; UAVs can fill this gap. Because the large area coverage can provide landscape level views, high resolution satellite data can be used to identify rangeland areas (in the case of rangeland health assessments) that need more detailed observations; UAVs then can be uti-

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The impact of Ethiopian Green Legacy Initiative (GLI) on landscape functionality and plant species diversity in Lake Hawassa watershed, Ethiopia

Demisse,

Dittoh,

Salifu

et al. 2024

Ecohydrology

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As one of the responses to the global commitments against climate change, the Ethiopian Government launched a nationwide Green Legacy Initiative (GLI) in 2019, which largely focused on forest tree plantations with some inclusion of fruit trees. Despite its tremendous efforts and investments, its effectiveness and impacts have not been studied. This paper attempted to address this necessity by conducting a cross‐sectional quasi‐experiment in three randomly selected woredas/districts of Lake Hawassa Watershed from August 20 to September 2, 2023. The research hypothesized the likely impacts of GLI on four dependent variables (hydrological regulation, soil stability, nutrient cycling and plant species diversity). To achieve this, the research considered the two variants of GLI practices (plantation with and without soil and water conservation measures) and the corresponding control sites. Having three sites and three treatments with five replications, the study involved a total of forty‐five quadrats of the same size (20 m × 20 m). The first three parameters were analysed using the landscape functionality analysis method, while the fourth employed Shannon's diversity index. Results of ANOVA showed that, on average 87% of randomly selected quadrats were found to significantly improve the local hydrology (runoff potential) (≈ 83.3% with Av. p = 0.012), soil stability (≈100% with Av. p = 0.002), nutrient cycling (≈83.3% with Av. p = 0.017) and plant species diversity (≈83.3% with Av. p = 0.012). The research revealed positive results from the Ethiopian Green Legacy Initiative. The small number of samples is acknowledged as a limitation of the research.

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Relationships between empirical and nominal indices of landscape function in the arid shrubland of Western Australia

Cited by 46 publications

References 59 publications

Do variations on a model of landscape function assist in interpreting the growth response of vegetation to rainfall in arid environments?

Do variations on a model of landscape function assist in interpreting the growth response of vegetation to rainfall in arid environments?

Research Article: Using Unmanned Aerial Vehicles for Rangelands: Current Applications and Future Potentials

The impact of Ethiopian Green Legacy Initiative (GLI) on landscape functionality and plant species diversity in Lake Hawassa watershed, Ethiopia

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