Effects of Chronic Human Activities on Invasion of Longleaf Pine Forests by Sand Pine

McCay, Deanna H.

doi:10.1007/s100210000026

Cited by 26 publications

(13 citation statements)

References 20 publications

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“…For example, the presence of young longleaf pine (Pinus palustris) serves as a measure of the recurrence of fire at Eglin Air Force Base (AFB) on the Florida panhandle (McCay, 2000). With fire suppression, the normally restricted distribution of sand pine (P. clausa) expanded from 2400 ha to over 24,000 ha, and young longleaf pine became rare.…”

Section: • Predict Changes That Can Be Averted By Management Actionsmentioning

confidence: 99%

Challenges in the development and use of ecological indicators

Dale

Beyeler

2001

Ecological Indicators

1,081

595

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Ecological indicators can be used to assess the condition of the environment, to provide an early warning signal of changes in the environment, or to diagnose the cause of an environmental problem. Ideally the suite of indicators should represent key information about structure, function, and composition of the ecological system. Three concerns hamper the use of ecological indicators as a resource management tool. (1) Monitoring programs often depend on a small number of indicators and fail to consider the full complexity of the ecological system. (2) Choice of ecological indicators is confounded in management programs that have vague long-term goals and objectives. (3) Management and monitoring programs often lack scientific rigor because of their failure to use a defined protocol for identifying ecological indicators. Thus, ecological indicators need to capture the complexities of the ecosystem yet remain simple enough to be easily and routinely monitored. Ecological indicators should meet the following criteria: be easily measured, be sensitive to stresses on the system, respond to stress in a predictable manner, be anticipatory, predict changes that can be averted by management actions, be integrative, have a known response to disturbances, anthropogenic stresses, and changes over time, and have low variability in response. The challenge is to derive a manageable set of indicators that together meet these criteria. Published by Elsevier Science Ltd.

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Section: • Predict Changes That Can Be Averted By Management Actionsmentioning

confidence: 99%

Challenges in the development and use of ecological indicators

Dale

Beyeler

2001

Ecological Indicators

1,081

595

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“…Hence, protection of and habitat management for the red-cockaded woodpecker and longleaf pine forest is a top priority for federal land managers. Although an understanding of the effects of human modifications and alterations on longleaf pine systems is developing [22,34,42,43], much still remains to be learned about how human impacts on the longleaf pine system will affect future forest conditions.…”

Section: Description Of Five-county Study Regionmentioning

confidence: 99%

Bioregional planning in central Georgia, USA

Dale¹,

Aldridge²,

Arthur³

et al. 2006

Futures

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“…Its native habitat has been greatly reduced due mainly to anthropogenic activities, resulting in fewer, fragmented natural populations than existed before (Clewell 1989;Walters et al 1994;Earley 2004). Restoration of wiregrass ecosystems has gained importance because of the extensive loss of this plant community across the southeastern United States (Landers et al 1995;Gordon and Rice 1998;McCay 2000). Researchers have reported allozyme diversity in a taxonomic context for the species (Walters et al 1994) and common garden and reciprocal translocation experiments including effects of transplant age and surrounding vegetation on A. stricta (Kindell et al 1996;Gordon and Rice 1998).…”

Section: Introductionmentioning

confidence: 96%

Genetic differentiation in natural populations of a Keystone Bunchgrass (Aristida stricta) across its native range

et al. 2011

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Aristida stricta Michx. (Poaceae) is a perennial bunchgrass native to the Southeastern Coastal Plain of North America where it is a keystone species in the longleaf pine savannas and slash pine flatwoods from southeastern North Carolina to Florida, and westward to the coast of Mississippi. We examined genetic relationships within and among ten populations of A. stricta by using eight inter-simple sequence repeat (ISSR) markers to generate band frequency data for 32 individuals from each sampled population. An analysis of molecular variance showed that 38% of the variation resided among populations while 62% was attributable to variation within populations. Grouping the populations by habitat or by geographic location did not show significant differentiation between the groups. Overall, pair-wise geographic and genetic distances were not correlated. Data indicate that while individuals within each population are genetically diverse, there seemingly are barriers to gene flow across populations leading to their divergence. Each population contains several exclusive loci suggesting that limited gene flow and/or genetic drift are likely leading to this pattern of localization. Our results, coupled with those of the previous studies that presented evidence for local adaptation and phenotypic differences among populations, suggest that there is sufficient differentiation among populations of this species to warrant: (1) maintenance of the existing genetic diversity at individual sites, and (2) use of local seed and plant sources for conservation projects.

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Effects of Chronic Human Activities on Invasion of Longleaf Pine Forests by Sand Pine

Cited by 26 publications

References 20 publications

Challenges in the development and use of ecological indicators

Challenges in the development and use of ecological indicators

Bioregional planning in central Georgia, USA

Genetic differentiation in natural populations of a Keystone Bunchgrass (Aristida stricta) across its native range

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