Flooding-induced landscape changes along dendritic stream networks and implications for wildlife habitat

Perotto‐Baldivieso, Humberto L.; Wu, X. Ben; Peterson, Markus J.; Smeins, Fred E.; Silvy, Nova J.; Schwertner, T. Wayne

doi:10.1016/j.landurbplan.2010.09.002

Cited by 19 publications

(12 citation statements)

References 40 publications

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“…These metrics were percentage cover (PLAND; %), mean patch area (MPA; ha), patch density (PD; number of patches/100 ha), mean shape index (MSI), largest patch index (LPI; %), aggregation index (AI), and edge density (ED; m/ha) (Perotto-Baldivieso et al 2011;Young et al 2014;Zemanova et al 2017). We used PLAND to measure the overall changes in tanglehead cover present in the landscape.…”

Section: Data Collection and Analysesmentioning

confidence: 99%

Quantifying the spatial and temporal distribution of tanglehead (Heteropogon contortus) on South Texas rangelands

et al. 2018

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Introduction: Tanglehead is a grass native to southwestern US rangelands; however, its prevalence as a native invasive on South Texas rangelands has increased rapidly during the last decade. Large areas of monotypic stands have emerged in Jim Hogg, Duval, Brooks, and Kleberg counties. The aim of this research is to understand the spatial and temporal dynamics of these invasions as a model for the assessment of native invasive species. Our specific objectives were to (1) evaluate the feasibility of classifying tanglehead using 1-m resolution imagery data, (2) assess the spatial and temporal distribution of tanglehead in relation to soil type and distance from roads, and (3) quantify the temporal and spatial distribution of tanglehead on our study sites. We combined remote sensing approaches with landscape metrics to quantify the spatial and temporal distribution of tanglehead in five locations across our study area. We calculated the normalized difference vegetation index and combined it with the original aerial imagery to conduct an unsupervised classification with the following land cover classes: woody vegetation, tanglehead, non-tanglehead herbaceous, and bare ground. Soil type and the distance from roads were assessed to determine the relationship between these factors and tanglehead spatial distribution. Results: We were able to successfully map tanglehead using the 1-m imagery. Our image classification approach resulted in accuracies greater than 85% for all sites. Tanglehead occurred in sandy, loamy sand, and sandy loam soils. Over 70% of tanglehead cover occurred within the first 150 m from the edge of roads. This cover increased from 7.1% (SE = 1.1%) in 2008 to 17.8% (SE = 5.4%) in 2014. Once established, small patches of tanglehead began aggregating or coalescing with existing stands, thereby creating larger patches over larger areas. Conclusions: Our study has shown the value of analyzing spatiotemporal dynamics of tanglehead with remote sensing techniques and landscape metrics to improve our understanding of establishment and dispersal processes of a native invasive. This study provides useful information to improve rangeland management decisions as well as assessing native invasive dynamics with potential applications for assessing its effects on wildlife habitat, livestock operations, and habitat restoration strategies.

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Section: Data Collection and Analysesmentioning

confidence: 99%

Quantifying the spatial and temporal distribution of tanglehead (Heteropogon contortus) on South Texas rangelands

et al. 2018

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“…We used buffered areas to clip the classified images and then we quantified road density (m/km 2 ). We then determined the following class-level landscape metrics: percentage of the landscape (%), mean patch area (km 2 ), largest patch index (%), patch density (# patches/km 2 ), edge density (m/ km 2 ), and Euclidean nearest neighbor (m; Perotto-Baldivieso et al 2011;Young et al 2014), using Fragstats -1970-2010 1970, 1980, 1990, 2000, 2010 U.S. Census of Agriculture 1,012,918 km 2 4 km 2 19741974, 1978, 1987, 2002 Landsat 8…”

Section: County Level Analysismentioning

confidence: 99%

“…We chose 0.15 km 2 to represent home range from Haines et al (2004) and Miller et al (2017). For each buffered area, we quantified vegetation spatial structure using the following landscape metrics in FRAGSTATS v. 4.2.1: percentage of the landscape (%), mean patch area (km 2 ), largest patch index (%), patch density (# patches/ km 2 ), edge density (m/km 2 ), and Euclidean nearest neighbor (m; Perotto-Baldivieso et al 2011;Young et al 2014). We compared landscape metrics between declining and stable northern bobwhite populations in Texas and Oklahoma using Student's t-tests (a ¼ 0.05).…”

Section: Local Level Analysesmentioning

confidence: 99%

“…The use of different spatial scales to address one ecological scale will have an impact on the interpretation of the results. More importantly, it is now becoming increasingly important to address wildlife-habitat modeling using more than one scale (Perotto-Baldivieso et al 2011;McGarigal et al 2016). Therefore, incorporating multiple scales into planning landscape conservation frameworks can contribute to the prioritization of strategies for restoration and conservation of cover types (Didham et al 2012;Rappaport et al 2015).…”

Section: Introductionmentioning

confidence: 99%

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Correlates of Habitat Fragmentation and Northern Bobwhite Abundance in the Gulf Prairie Landscape Conservation Cooperative

Miller

Brennan

Perotto‐Baldivieso

et al. 2018

Journal of Fish and Wildlife Management

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The northern bobwhite Colinus virginianus has experienced range-wide declines over the past several decades, primarily due to habitat loss and habitat fragmentation. As northern bobwhite populations continue to decline, there is a need for studies that address the impact of habitat changes on population persistence at multiple spatial scales. Our goal was to assess changes in habitat and land use related to northern bobwhite declines across multiple spatial scales in Texas, Oklahoma, and Louisiana. We determined northern bobwhite trends for 1972-2012 using Breeding Bird Survey data. At the regional scale, we compared northern bobwhite population trends with road density (2000, 2012), human population , and land use . At the county and local scales, we compared class-level landscape metrics between counties with stable and declining northern bobwhite abundances using Student's t-tests. Northern bobwhite populations decreased from 45.95 6 1.01 birds/route in 1970 to 11.55 6 0.64 birds/route in 2012. Road density and human population increased by 3,331.32 6 66.28 m/km 2 and 42,873 6 8,687 people/county, respectively. Percent pasture and rangeland was relatively stable, as was percent woodland. Alternatively, the percentage of other land (houses, roads, wasteland) increased. At the county scale, Texas and Oklahoma counties with declining northern bobwhite populations had higher road densities, larger patches of pasture, smaller patches of woodland, and larger patches of cropland compared with stable populations. At the local scale, Texas and Oklahoma counties with declining northern bobwhite populations had less woody cover in smaller patches, and fewer but larger patches of herbaceous and bare ground, compared with populations with stable abundance. Therefore, managers can provide woody cover and reduce cropland effects at the local scale to support stable quail populations; however, the large-scale drivers of northern bobwhite decline, which are human population growth and resulting habitat loss, will be an important aspect of northern bobwhite conservation and management in the future.

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“…The 10 km distance was chosen because it represents at least three times the mean diameter for jaguar home ranges reported by Maffei et al (2004). For each block and for each time period, fragmentation was quantified with the landscape metrics: percentage of natural vegetation cover (%; PLAND), mean patch size (ha), patch density (patches/100 ha) and edge density (m/ha) (Millington et al 2003;Perotto-Baldivieso et al 2011;McGarigal et al 2012;Zeilhofer et al 2014). Mean and standard errors for each metric were calculated for each location and time period between 1976 and 2005.…”

Section: Data Collection and Analysesmentioning

confidence: 99%

Impact of deforestation on habitat connectivity thresholds for large carnivores in tropical forests

Zemanova

Perotto‐Baldivieso

Dickins³

et al. 2017

Ecol Process

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Introduction: Deforestation significantly impacts large carnivores that depend on large tracts of interconnected forest habitat and that are sensitive to human activities. Understanding the relationship between habitat use and spatial distribution of such species across human modified landscapes is critical when planning effective conservation strategies. This study assessed the presence of potential landscape connectivity thresholds resulting from habitat fragmentation associated with different deforestation patterns using a scale-based approach that links species-specific home ranges with the extent of anthropogenic activities. The objectives were (1) to quantify the spatial and temporal distribution of natural vegetation for five common deforestation patterns and (2) to evaluate the connectivity associated with these patterns and the existence of potential thresholds affecting jaguar dispersal. The Bolivian lowlands, located within jaguar conservation units, were analysed with landscape metrics to capture the spatial and temporal changes within deforested areas and to determine potential impact on jaguar connectivity and connectivity thresholds for dispersal. Results: Over the period of 1976-2005, the amount of natural vegetation has decreased by more than 40% in all locations with the biggest changes occurring between 1991 and 2000. Landscape spatial structure around jaguar locations showed that jaguars used areas with mean proportion of natural areas = 83.14% (SE = 3.72%), mean patch density = 1.16 patches/100 ha (SE = 0.28 patches/100 ha), mean patch area = 616.95 ha (SE = 172.89 ha) and mean edge density = 705.27 m/ha (SE = 182.19 m/ha).We observed strong fragmentation processes in all study locations, which has resulted in the connectivity of jaguar habitat decreasing to <20% by 2005. A connectivity threshold zone was observed when the proportion of natural vegetation was less than 58.4% (SE = 1.3). Conclusions: Assessing fragmentation and connectivity for carnivores within the extent of human-modified landscapes proved to be an effective way to understand the changes caused by deforestation and their potential effects on large carnivore habitats. Our study highlights the importance of scale-based approaches for assessing current conservation challenges to protect large carnivores.

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Flooding-induced landscape changes along dendritic stream networks and implications for wildlife habitat

Cited by 19 publications

References 40 publications

Quantifying the spatial and temporal distribution of tanglehead (Heteropogon contortus) on South Texas rangelands

Quantifying the spatial and temporal distribution of tanglehead (Heteropogon contortus) on South Texas rangelands

Correlates of Habitat Fragmentation and Northern Bobwhite Abundance in the Gulf Prairie Landscape Conservation Cooperative

Impact of deforestation on habitat connectivity thresholds for large carnivores in tropical forests

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