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26 results for “longleaf pine”
Data from: Ecosystem carbon density and allocation across a chronosequence of longleaf pine forests
Forests can partially offset greenhouse gas emissions and contribute to climate change mitigation, mainly through increases in live biomass. We quantified carbon (C) density in 20 managed longleaf pine (Pinus palustris Mill.) forests ranging in age from five to 118 years located across the southeastern USA and estimated above and belowground C trajectories. Ecosystem C stock (all pools including soil C) and aboveground live tree C increased nonlinearly with stand age and the modeled asymptotic maxima were 168 Mg C/ha and 80 Mg C/ha, respectively. Accumulation of ecosystem C with stand age was driven mainly by increases in aboveground live tree C, which ranged from <1 Mg C/ha to 74 Mg C/ha and comprised <1% to 39% of ecosystem C. Live root C (sum of below-stump C, ground penetrating radar measurement of lateral root C, and live fine root C) increased with stand age and represented 4% to 22% of ecosystem C. Soil C was related to site index, but not to stand age, and comprised 39% to 92% of ecosystem C. Live understory C, forest floor C, down dead wood C and standing dead wood C were small fractions of ecosystem C in these frequently burned stands. Stand age and site index accounted for 76% of the variation in ecosystem C among stands. The mean root to shoot ratio calculated as the average across all stands (excluding the grass stage stand) was 0.54 (standard deviation of 0.19) and higher than reports for other conifers. Long-term accumulation of live tree C, combined with the larger role of belowground accumulation of lateral root C than in other forest types, indicates a role of longleaf pine forests in providing disturbance-resistant C storage that can balance the more rapid C accumulation and C removal associated with more intensively managed forests. Although other managed southern pine systems sequester more C over the short-term, we suggest that longleaf pine forests can play a meaningful role in regional forest C management.
Data from: Ecosystem carbon density and allocation across a chronosequence of longleaf pine forests
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Data from: Dispersal and establishment limitation slows plant community recovery in post-agricultural longleaf pine savannas
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Data from: Longleaf pine proximity effects on air temperatures and hardwood top-kill from prescribed fire
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Data from: The impact of prescribed burning on native bee communities (Hymenoptera: Apoidea: Anthophila) in longleaf pine savannas in the North Carolina sandhills
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Data - Prescribed fire in longleaf pine ecosystems: fire managers' perspectives on priorities, constraints, and future prospects
<p><strong>The following information describes the data coded in the corresponding database as it relates to survey question responses. This dataset includes all data used to produce graphs in:</strong></p><p>Kupfer, J.A., Lackstrom, K., Grego, J.M., Dow, K., Terando, A.J., and Hiers, J.K. 2022. Perspectives on prescribed fire management in longleaf pine ecosystems: Current constraints and future prospects. <i>Fire Ecology</i> 18, 27. <a href="https://doi.org/10.1186/s42408-022-00151-6">https://doi.org/10.1186/s42408-022-00151-6</a>..</p><p><strong>Part I: Criteria for Prioritizing Burn Sites (Columns A-S)</strong></p><p><strong>Question #1: "For the characteristics listed below, please rank your top 3 criteria for determining whether a site has a high priority for burning." Scale: 1 = highest, 2 = next; 3 = next; NULL = not in top 3. Columns K-S indicate simply whether a criterion was chosen (1) or not (0), regardless of rank.</strong></p><p>A. Participant ID</p><p>B. TimeSinceBurnRk = Time since the last fire </p><p>C. FuelReductionRk = Burn to reduce fuels</p><p>D. EcoHealthRk = Burn to improve ecosystem health</p><p>E. TimberRk = Improving timber</p><p>F. FirebreaksRk = Presence of firebreaks</p><p>G. TandERk = Burn to assist T&E species</p><p>H. WUIrk = Proximity to Wildland Urban Interface</p><p>I. ExoticInvasiveRk = Prioritizing due exotics / invasives</p><p>J. OtherCritRk = Other criteria not included above</p><p>K. TimeSinceBurn = Time since the last fire (1 = cited in any order; NULL = not in top 3)</p><p>L. FuelReduction = Burn to reduce fuels (same ranking as previous)</p><p>M. EcoHealth = Burn to improve ecosystem health (same ranking as previous)</p><p>N. Timber = Improving timber (same ranking as previous)</p><p>O. Firebreaks = Presence of firebreaks (same ranking as previous)</p><p>P. TandE = Burn to assist T&E species (same ranking as previous)</p><p>Q. WUI = Proximity to Wildland Urban Interface (same ranking as previous)</p><p>R. ExoticInvasive = Prioritizing due exotics / invasives (same ranking as previous)</p><p>S. OtherCrit = Other criteria not included above (same ranking as previous)</p><p> </p><p><strong>Part II: Longleaf Pine Burning Frequency (T-U)</strong></p><p><strong>Question #3: "Recommendations for the frequency of prescribed burns depend on the local conditions, including: 1) the diversity of sites with longleaf ecosystems, 2) variation in the suite of understory species that define the habitat, and 3) the 'historic' fire return interval. How often, on average, should longleaf pine stands in your unit(s) be burned?</strong></p><p>T. RecentBurnFreq: 1 = < every 2 yrs, 2 = every 2-4 yrs, 3 = every 4-5 yrs, 4 = > every 5 yrs </p><p><strong>Question #4. In practice, how often, on average, have longleaf pine units in your area been burned over the past 10 years?</strong></p><p>U. CompBurnFreq: -1 = less frequently than previous answer; 0 = as frequently as previous answer; 1 = more frequently than previous answer (the response was compared to that from Question 3 and scored comparatively).</p><p> </p><p><strong>Part III: Current legal, institutional, and managerial constraints (V-AB)</strong></p><p><strong>Question #6. In this section we would appreciate your help in better understanding how specific factors constrain or limit your ability to conduct prescribed burns. Do the following factors pose constraints to prescribed burning at your units? Scale: 1 = not a constraint; 2 = sometimes a constraint; 3 = commonly a constraint; -9999 = Not applicable. (note: #NULL! = no response)</strong></p><p>V. ConstrPublic: Burning constrained by public concerns </p><p>W. ConstrWUI: Burning constrained by nearby development </p><p>X. ConstrRisk: Burning constrained by concerns about liability, career, etc.</p><p>Y. ConstrPartners: Burning constrained by partnerships and agreements</p><p>Z. ConstrIncent: Limited incentives or organizational pushback</p><p>AA. ConstrLegal: Legal constraints (e.g. NEPA, etc.)</p><p>AB. ConstrOther: Other constraints</p><p><strong> </strong></p><p><strong>Part IV: Environmental and resource constraints (AC-AJ)</strong></p><p><strong>Question 7: Please indicate how often these factors constrain prescribed burning in your management unit during the longleaf pine dormant season and growing season. Scale: 1 = not a constraint; 2 = sometimes a constraint; 3 = commonly a constraint; -9999 = Not applicable. (</strong><i><strong>note: #NULL! = no response</strong></i><strong>)</strong></p><p>AC. ConstrDormWx: Inappropriate weather conditions during dormant season</p><p>AD. ConstrDormFuel: Concerns about fuel loads during dormant season</p><p>AE. ConstrDormAQ: Air quality / smoke management issues during dormant season</p><p>AF. ConstrDormRes: Shortage of resources (personnel, money, equip) during dormant season</p><p>AG. ConstrGrowWx: Inappropriate weather conditions during growing season</p><p>AH. ConstrGrowFuel: Concerns about fuel loads during growing season</p><p>AI. ConstrGrowAQ: Air quality / smoke management issues during growing season</p><p>AJ. ConstrGrowRes: Shortage of resources (personnel, money, equip) during growing season</p><p> </p><p><strong>Part V: Seasonal Weather Constraints (AK-BD)</strong></p><p><strong>Question 8: For weather conditions during the dormant season and growing season, please check the boxes for all factors which are common constraints on prescribed burning. (scale: 1 = factor selected, #NULL! = factor not selected).</strong></p><p>AK. ConstrHiTDorm: High temperature is a common constraint during the dormant season</p><p>AL. ConstrHiTGrow: High temperature is a common constraint during the growing season</p><p>AM. ConstrLowTDorm: Low temperature is a common constraint during the dormant season</p><p>AN. ConstrLowTGrow: Low temperature is a common constraint during the growing season</p><p>AO. ConstrHiRHDorm: High relative humidity is a common constraint during the dormant season</p><p>AP. ConstrHiRHGrow: High relative humidity is a common constraint during the growing season</p><p>AQ. ConstrLowRHDorm: Low relative humidity is a common constraint during the dormant season</p><p>AR. ConstrLowRHGrow: Low relative humidity is a common constraint during the growing season</p><p>AS. ConstrHiWindDorm: High winds are a common constraint during the dormant season</p><p>AT. ConstrHiWindGrow: High winds are a common constraint during the growing season</p><p>AU. ConstrLowWindDorm: Low winds are a common constraint during the dormant season</p><p>AV. ConstrLowWindGrow: Low winds are a common constraint during the growing season</p><p>AW. ConstrDaysRainDorm: # of days since last rain is a common constraint during the dormant season</p><p>AX. ConstrDaysRainGrow: # of days since last rain is a common constraint during the growing season</p><p>AY. ConstrDroughtDorm: Drought conditions are a common constraint during the dormant season</p><p>AZ. ConstrDroughtGrow: Drought conditions are a common constraint during the growing season</p><p>BA. ConstrAtmoDispDorm: Low atmospheric dispersion is a common constraint during the dormant season</p><p>BB. ConstrAtmoDispGrow: Low atmospheric dispersion is a common constraint during the growing season</p><p>BC. ConstrTransWindDorm: Adequate transport winds are a common constraint during the dormant season</p><p>BD. ConstrTransWindGrow: Adequate transport winds are a common constraint during the growing season</p><p><strong> </strong></p><p><strong>Part VI: Expectations for future changes in burning constraints due to climate change and urban growth (BE-BW)</strong></p><p><strong>Question 9: To what extent do you think climate change currently affects your management decisions? </strong></p><p>BE. CurrClimChange. Scale: 0 = not at all; 1 = a little; 2 = moderately; 4 = a great deal; -9999 = don't know. #NULL! = no response.</p><p><strong>Question 10: To what extent do you think urban growth currently affects your management decisions? </strong></p><p>BF. CurrUrbanGrowth: Scale: 0 = not at all; 1 = a little; 2 = moderately; 4 = a great deal; -9999 = don't know. #NULL! = no response.</p><p><strong>Question 12:</strong> <strong>To what extent do you think future climate change (e.g., increasing temperature, more intense rainstorms, and/or extreme weather events) will affect your prescribed burning decisions? </strong>. <strong>Scale for all variables: 0 = not at all; 1 = a little; 2 = moderately; 3 =a great deal; -9999 = don't know. #NULL! = no response.</strong></p><p>BG. ClimChangeShort: Effects over the next 5-10 years</p><p>BH. ClimChangeMed: Effects over the next 10-30 years</p><p>BI. ClimChangeLong: Effects over the next 30-50 years</p><p><strong>Question 13:</strong> <strong>To what extent do you think future urbanization patterns (e.g., changes in the wildland urban interface, loss of habitat to restore longleaf pine ecosystems) will affect your prescribed burning decisions? Scale for all variables: 0 = not at all; 1 = a little; 2 = moderately; 3 =a great deal; -9999 = don't know. #NULL! = no response.</strong></p><p>BJ. UrbChangeShort: Effects over the next 5-10 years</p><p>BK. UrbChangeMed: Effects over the next 10-30 years</p><p>BL. UrbChangeLong: Effects over the next 30-50 years</p><p><strong>Question 15: Thirty years from now, which of these constraints do you think will be the most significant constraints to your use of prescribed burning? Please select up to 5 constraints. Scale: 1 = selected; #NULL! = selected</strong></p><p>BM. FutConstrWx: Inappropriate weather conditions (1 = cited in any order; NULL = not in top 5)</p><p>BN. FutConstrFuel: High fuel loads (same scale as previous)</p><p>BO. FutConstrAQ: Air quality issues, including smoke management (same scale as previous)</p><p>BP FutConstrRes: Shortage of resources (personnel, money, equipment) (same scale as previous)</p><p>BQ. FutConstrPublic: Avoiding public objections or concerns over burning (same scale as previous)</p><p>BR. FutConstrWUI: Residential or other development in or near burn areas (same scale as previous)</p><p>BS. FutConstrRisk: Risk aversion (liability, career, political repurcussions) (same scale as previous)</p><p>BT. FutConstrAgree: Challenges posed by agreement and partnerships (same scale as previous)</p><p>BU FutConstrIncent: Limited incentives, institutional history (same scale as previous)</p><p>BV. FutConstrLegal: Legal constraints (same scale as previous)</p><p>BW. FutConstrOther: Other constraints</p><p> </p><p><strong>Part VII: Responder Demographics (BX)</strong></p><p>Respondent provided state and management unit information. Scale 1 = yes; 0 = no.</p>
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