Light Use Efficiency Model Based on Chlorophyll Content Better Captures Seasonal Gross Primary Production Dynamics of Deciduous Broadleaf Forests

Gross primary production(GPP)is a crucial indicator representing the absorption of atmospheric CO_(2) by vegetation.At present,the estimation of GPP by remote sensing is mainly based on leaf-related vegetation indexes and leaf-related biophysical para-meter leaf area index(LAI),which are not completely synchronized in seasonality with GPP.In this study,we proposed chlorophyll content-based light use efficiency model(CC-LUE)to improve GPP estimates,as chlorophyll is the direct site of photosynthesis,and only the light absorbed by chlorophyll is used in the photosynthetic process.The CC-LUE model is constructed by establishing a linear correlation between satellite-derived canopy chlorophyll content(Chlcanopy)and FPAR.This method was calibrated and validated utiliz-ing 7-d averaged in-situ GPP data from 14 eddy covariance flux towers covering deciduous broadleaf forest ecosystems across five dif-ferent climate zones.Results showed a relatively robust seasonal consistency between Chlcanopy with GPP in deciduous broadleaf forests under different climatic conditions.The CC-LUE model explained 88% of the in-situ GPP seasonality for all validation site-year and 56.0% of in-situ GPP variations through the growing season,outperforming the three widely used LUE models(MODIS-GPP algorithm,Vegetation Photosynthesis Model(VPM),and the eddy covariance-light use efficiency model(EC-LUE)).Additionally,the CC-LUE model(RMSE=0.50 g C/(m^(2)·d))significantly improved the underestimation of GPP during the growing season in semi-arid region,re-markably decreasing the root mean square error of averaged growing season GPP simulation and in-situ GPP by 75.4%,73.4%,and 37.5%,compared with MOD17(RMSE=2.03 g C/(m^(2)·d)),VPM(RMSE=1.88 g C/(m^(2)·d)),and EC-LUE(RMSE=0.80 g C/(m^(2)·d))model.The chlorophyll-based method proved superior in capturing the seasonal variations of GPP in forest ecosystems,thereby provid-ing the possibility of a more precise depiction of forest seasonal carbon uptake.

Tree structure and diversity shape the biomass of primary temperate mountain forests

Primary forests are spatially diverse terrestrial ecosystems with unique characteristics,being naturally regenerative and heterogeneous,which supports the stability of their carbon storage through the accumulation of live and dead biomass.Yet,little is known about the interactions between biomass stocks,tree genus diversity and structure across a temperate montane primary forest.Here,we investigated the relationship between tree structure(variability in basal area and tree size),genus-level diversity(abundance,tree diversity)and biomass stocks in temperate primary mountain forests across Central and Eastern Europe.We used inventory data from726 permanent sample plots from mixed beech and spruce across the Carpathian Mountains.We used nonlinear regression to analyse the spatial variability in forest biomass,structure,and genus-level diversity and how they interact with plot-level tree age,disturbances,temperature and altitude.We found that the combined effects of genus and structural indices were important for addressing the variability in biomass across different spatial scales.Local processes in disturbance regimes and uneven tree age support forest hete rogeneity and the accumulation of live and dead biomass through the natural regeneration,growth and decay of the forest ecosystem.Structural complexities in basal area index,supporte d by genus-level abundance,positively influence total biomass stocks,which was modulated by tree age and disturbances.Spruce forests showed higher tree density and basal area than mixed beech forests,though mixed beech still contributes significantly to biomass across landscapes.Forest heterogeneity was strongly influenced by complexities in forest composition(tree genus diversity,structure).We addressed the importance of primary forests as stable carbon stores,achieved through structure and diversity.Safeguarding such ecosystems is critical for ensuring the stability of the primary forest,carbon store and biodiversity into the future.

How forest age impacts on net primary productivity: Insights from future multi-scenarios

Forest net primary productivity(NPP)constitutes a key flux within the terrestrial ecosystem carbon cycle and serves as a significant indicator of the forests carbon sequestration capacity,which is closely related to forest age.Despite its significance,the impact of forest age on NPP is often ignored in future NPP projections.Here,we mapped forest age in Hunan Province at a 30-m resolution utilizing a combination of Landsat time series stack(LTSS),national forest inventory(NFI)data,and the relationships between height and age.Subsequently,NPP was derived from NFI data and the relationships between NPP and age was built for various forest types.Then forest NPP was predicted based on the NPP-age relationships under three future scenarios,assessing the impact of forest age on NPP.Our findings reveal substantial variations in forest NPP in Hunan Province under three future scenarios:under the age-only scenario,NPP peaks in 2041(133.56TgC·yr^(−1)),while NPP peaks three years later in 2044(141.14TgC·yr^(−1))under the natural development scenario.The maximum afforestation scenario exhibits the most rapid increase in NPP,with peaking in 2049(197.95TgC·yr^(−1)).However,with the aging of the forest,NPP is projected to then decrease by 7.54%,6.07%,and 7.47%in 2060,and 20.05%,19.74%,and 28.38%in 2100,respectively,compared to their peaks under the three scenarios.This indicates that forest NPP will continue to decline soon.Controlling the age structure of forests through selective logging,afforestation and reforestation,and encouraging natural regeneration after disturbance could mitigate this declining trend in forest NPP,but implications of these measures on the full forest carbon balance remain to be studied.Insights from the future multi-scenarios are expected to provide data to support sustainable forest management and national policy development,which will inform the achievement of carbon neutrality goals by 2060.

Summer-autumn habitat use by Galliformes in a primary forest,southeastern Tibet

Habitat use by Galliformes in an ornithologically unexplored region,a forest area in southeastern Tibet,was investigated during the summer and autumn periods of 1995.A total of seven species were recorded,most of which preferred habitats on south-facing slopes and avoided those on north-facing slopes where conditions were relatively humid.A hybrid population of White (Crossoptilon crossoptilon) versus Tibetan Eared-pheasants (C.harmani) was predominant among the Galliforme community,followed by Blood Pheasants (Ithaginis cruentus) and Chinese Grouse (Bonasa sewerzowi).A further investigation in 2001 showed that on account of little human activity in the distant primary forests,the birds suffered less of a threat from hunting and habitat disturbance.

Variation of net primary productivity and its drivers in China’s forests during 2000-2018

Background:Net primary productivity(NPP)in forests plays an important role in the global carbon cycle.However,it is not well known about the increase rate of China’s forest NPP,and there are different opinions about the key factors controlling the variability of forest NPP.Methods:This paper established a statistics-based multiple regression model to estimate forest NPP,using the observed NPP,meteorological and remote sensing data in five major forest ecosystems.The fluctuation values of NPP and environment variables were extracted to identify the key variables influencing the variation of forest NPP by correlation analysis.Results:The long-term trends and annual fluctuations of forest NPP between 2000 and 2018 were examined.The results showed a significant increase in forest NPP for all five forest ecosystems,with an average rise of 5.2 gC·m-2·year-1 over China.Over 90%of the forest area had an increasing NPP range of 0-161 gC·m-2·year-1.Forest NPP had an interannual fluctuation of 50-269 gC.m-2·year-1 for the five major forest ecosystems.The evergreen broadleaf forest had the largest fluctuation.The variability in forest NPP was caused mainly by variations in precipitation,then by temperature fluctuations.Conclusions:All five forest ecosystems in China exhibited a significant increasing NPP along with annual fluctuations evidently during 2000-2018.The variations in China’s forest NPP were controlled mainly by changes in precipitation.

Examining Forest Net Primary Productivity Dynamics and Driving Forces in Northeastern China During 1982–2010

Forest net primary productivity （NPP） is a key parameter for forest monitoring and management. In this study, monthly and annual forest NPP in the northeastern China from 1982 to 2010 were simulated by using Carnegie-Ames-Stanford Approach （CASA） model with normalized difference vegetation index （NDVI） sequences derived from Advanced Very High Resolution Radiometer （AVHRR） Global Invento y Modeling and Mapping Studies （GIMMS） and Terra Moderate Resolution Imaging Spectroradiometer （MODIS） products. To address the problem of data inconsistency between AVHRR and MODIS data, a per-pixel unary linear regres- sion model based on least ~;quares method was developed to derive the monthly NDVI sequences. Results suggest that estimated forest NPP has mean relative error of 18.97% compared to observed NPP from forest inventory. Forest NPP in the northeastern China in- creased significantly during the twenty-nine years. The results of seasonal dynamic show that more clear increasing trend of forest NPP occurred in spring and awmnn. This study also examined the relationship between forest NPP and its driving forces including the climatic and anthropogenic factors. In spring and winter, temperature played the most pivotal role in forest NPR In autumn, precipitation acted as the most importanl factor affecting forest NPP, while solar radiation played the most important role in the summer. Evaportran- spiration had a close correlation with NPP for coniferous forest, mixed coniferous broadleaved forest, and broadleaved deciduous forest. Spatially, forest NPP in the Da Hinggan Mountains was more sensitive to climatic changes than in the other ecological functional re- gions. In addition to climalie change, the degradation and improvement of forests had important effects on forest NPP. Results in this study are helpful for understanding the regional carbon sequestration and can enrich the cases for the monitoring of vegetation during long time series.

Sensitivity of Near Real-time MODIS Gross Primary Productivity in Terrestrial Forests Based on Eddy Covariance Measurements

As an important product of Moderate Resolution Imaging Spectroradiometer(MODIS), MOD17A2 provides dramatic improvements in our ability to accurately and continuously monitor global terrestrial primary production, which is also significant in effort to advance scientific research and eco-environmental management. Over the past decades, forests have moderated climate change by sequestrating about one-quarter of the carbon emitted by human activities through fossil fuels burning and land use/land cover change. Thus, the carbon uptake by forests reduces the rate at which carbon accumulates in the atmosphere. However, the sensitivity of near real-time MODIS gross primary productivity(GPP) product is directly constrained by uncertainties in the modeling process, especially in complicated forest ecosystems. Although there have been plenty of studies to verify MODIS GPP with ground-based measurements using the eddy covariance(EC) technique, few have comprehensively validated the performance of MODIS estimates(Collection 5) across diverse forest types. Therefore, the present study examined the degree of correspondence between MODIS-derived GPP and EC-measured GPP at seasonal and interannual time scales for the main forest ecosystems, including evergreen broadleaf forest(EBF), evergreen needleleaf forest(ENF), deciduous broadleaf forest(DBF), and mixed forest(MF) relying on 16 flux towers with a total of 68 site-year datasets. Overall, site-specific evaluation of multi-year mean annual GPP estimates indicates that the current MOD17A2 product works highly effectively for MF and DBF, moderately effectively for ENF, and ineffectively for EBF. Except for tropical forest, MODIS estimates could capture the broad trends of GPP at 8-day time scale for all other sites surveyed. On the annual time scale, the best performance was observed in MF, followed by ENF, DBF, and EBF. Trend analyses also revealed the poor performance of MODIS GPP product in EBF and DBF. Thus, improvements in the sensitivity of MOD17A2 to forest productivity require continued efforts.

基于日光诱导叶绿素荧光的东北林区森林碳汇估算

森林碳汇是维持地球生态平衡和应对气候变化的重要因素。森林碳汇吸收大量二氧化碳并储存碳元素,有助于减缓气候变化,在全球碳循环中扮演着关键角色。同时,森林碳汇也提供了生物多样性保护、水资源调节和土壤保持等重要生态服务,因此对于森林碳汇的估算十分重要。该文选取我国东北林区为研究区域,基于日光诱导叶绿素荧光(solar-induced chlorophyll fluorescence,SIF)运用植被总初级生产力(gross primary productivity,GPP)作为中间变量来估算2011—2020年6—9月植被生长期的森林碳汇。结果显示:东北林区森林碳汇与SIF在空间上存在较强相关性;东北林区的SIF值和碳汇分布相似,长白山地区的碳汇能力较强,而大兴安岭地区的碳汇能力较弱;在时间分布上,植被生长期的6—9月,碳汇能力总体呈先递增后递减的趋势。总的来说,利用SIF来估算碳汇在东北林区具有较高的可行性。

Carbon storage and net primary productivity in Canadian boreal mixedwood stands

Canadian boreal mixedwood forests are extensive,with large potential for carbon sequestration and storage;thus,knowledge of their carbon stocks at different stand ages is needed to adapt forest management practices to help meet climate-change mitigation goals.Carbon stocks were quantified at three Ontario boreal mixedwood sites.A harvested stand,a juvenile stand replanted with spruce seedlings and a mature stand had total carbon stocks(±SE)of 133±13 at age 2,130±13 at age 25,and 207±15 Mg C ha^-1 at age 81 years.At the clear-cut site,stocks were reduced by about 40%or 90 Mg C ha^-1 at harvest.Vegetation held 27,34 and 62%of stocks,while detritus held 34,29 and 13%of stocks at age 2,25 and 81,respectively.Mineral soil carbon stocks averaged 51 Mg C ha^-1,and held 38,37 and 25%of stocks.Aboveground net primary productivity(±SE)in the harvested and juvenile stand was 2.1±0.2 and 3.7±0.3 Mg C ha^-1 per annum(p.a.),compared to 2.6±2.5 Mg C ha^-1 p.a.in the mature stand.The mature canopies studied had typical boreal mixedwood composition and mean carbon densities of 208 Mg C ha^-1,which is above average for managed Canadian boreal forest ecosystems.A comparison of published results from Canadian boreal forest ecosystems showed that carbon stocks in mixedwood stands are typically higher than coniferous stands at all ages,which was also true for stocks in vegetation and detritus.Also,aboveground net primary productivity was typically found to be higher in mixedwood than in coniferous boreal forest stands over a range of ages.Measurements from this study,together with those published from the other boreal forest stands demonstrate the potential for enhanced carbon sequestration through modified forest management practices to take advantage of Canadian boreal mixedwood stand characteristics.

Environmental Factors that Affect Primary Plant Succession Trajectories on Lahars(Popocatépetl Volcano,Mexico)

The earliest stages of plant succession on severely disturbed sites usually follow highly unpredictable trajectories. However, in the Popocatépetl volcano area(50 km SE of Mexico City),the development of physiognomically distinct primary plant communities suggests the occurrence of various successional trajectories only 10 years after the onset of colonization of a temperate forest on lahars. To characterize plant communities and determine the environmental factors that drive the differences observed between plant communities and their successional trajectories, we monitored 64 circular sample plots(3.14 m2) from 2002 to 2011. We examined the plant communities' composition and structure in terms of their species richness and abundance, plant cover, and maximum stem height,and recorded 13 environmental factors related to the volcanic deposit characteristics, microclimate, soil,flow dynamics and gravitational processes. A cluster analysis of the species abundance data showed that,by 2011, six plant community types(CT's) had established, including grasslands, and open, dense and very dense shrub lands. As these communities developed over the same period of time and within the same overall ecosystem, then these plant community types were interpreted as different stages of the same successional trajectory. Two sequential main stages that drive regeneration were identified from this successional trajectory: a) the first four years are characterized by a steady increase in species richness and physiognomic development(plant size and coverage), mostly dominated by Baccharis conferta, Eupatorium glabratum and Senecio barbajohannis; b) from the sixth year onwards, a continued increase in the abundance of those same species led to the development of the dense shrubland communities.Differences in the availability of soil resources and disturbances linked to recent lahar flows were the main factors accounting for such differences.

Microbial Carbon, Mineral-N and Soil Nutrients in Indigenous Agroforestry Systems and Other Land Use in the upper Solimões Region, Western Amazonas State, Brazil

Slash and burn cultivation systems carried out by many farmers in the Amazon region lead to changes in biogeochemical cycles of nutrients. To assess the extent of the impact of shifting cultivation on the soil in a floodplain portion of this region, samples of an Inceptisol surface layer (0 - 5 cm) under primary forest (FP), secondary forest at an advanced stage of recovery (FS), secondary forest at an initial stage of recovery (CAP), agroforestry (SAF), plantations (R?) in indigenous communities and small farmers, and pasture (PAS) in the Upper Solim?es region, Amazonas, were subjected to analysis of chemical composition during the wet (May) and dry (October) seasons, 2007. Soils were fertile with levels of P, K, Ca and Mg above those generally found in Amazon soils. Microbial content did not vary significantly in the systems studied in the wet season, but there was a reduction of around 60% with the change of season, except for soils with SAF. Ammonium nitrogen was predominant in all systems and seasons studied. Nitrate content was higher in R? soil, in two seasons, and lower in PAS. The type of management adopted by farmers in the region’s indigenous agroforestry systems resulted in small changes in P, K, Mg, MBC and mineral-N levels, independent of soil moisture.

Identifying indigenous tree species for land reforestation,forest restoration, and plantation transformation on Hainan Island, China

Selecting suitable species is the most important issue for bare land reforestation, degraded secondary forest restoration, and single-species plantation transformation. However, little information has been documented related to tree species selection for these silvicultural endeavors on tropical Hainan Island of Southern China. The present study employed Baisha County, the ecological core area of Hainan Island, as a case study area. We initially inventoried a slightly disturbed primary forest and attempted to produce diameter distribution curves for each tree species. Second, the tree species were classified into shade intolerant, opportunist, and shade tolerant species based on shape of their diameter distribution curves. Third, market value was determined for each tree species based on published literature and on-site investigations at local wood trading companies. Totally 118 tree species were encountered in the inventoried forest and 13 tree species present were finally identified as potential tree species for our silvicultural endeavor on Hainan Island, of which 3 species are shade intolerant, 5 species are opportunist and 5 species are shade tolerant. Additionally, we also selected 12 tree species that were not in the inventoried forest but were extremely economically valuable and ecologically important. This study should contribute to the formulation of a sustainable forest management strategy on Hainan Island and the methodology might be replicated in other tropical region where suitable species also need to be identified for silvicultural endeavor.

The Relationships among Community Type, Peat Layer Thickness, Belowground Carbon Storage and Habitat Age of Mangrove Forests in Pohnpei Island, Micronesia

This paper quantifies the relationships among community type, peat layer thickness and habitat age of the mangrove forests in Pohnpei Island, Micronesia and provides a discussion concerning the primary succession and the belowground carbon storage of the main mangrove community types. The ages of the habitat were estimated from a relationship between the thickness of the mangrove peat layer and the formative period, which was decided by calibrated radiocarbon ages. Mangrove communities in the coral reef type habitat were generally arranged in the following order, from seaward to landward: 1) the Rhizophora stylosa or Sonneratia alba community (I or II communities), 2) the typical subunit of the S. alba subcommunity of the Rhizophora apiculata— Bruguiera gymnorrhiza community (III(2)a subunit) and 3) the Xylocarpus granatum subunit of the same subcommunity of the same community (III(2)b subunit). Their habitat ages were estimated to be younger than 460 years, between 360 and 1070 years and between 860 and 2300 years, respectively. Based on these results and other evidences such as photosynthetic characteristics and pollen analysis derived from the previous studies, the primary succession was inferred to have progressed in the order mentioned above. Belowground stored carbon for the main community types in the coral reef type habitat were estimated to be less than 370 t C ha-1 for the I and the II communities, between 290 and 860 t C ha-1 for the III(2)a subunit and between 700 and 1850 t C ha-1 for the III(2)b subunit.

Estimation of carbon storage of forest biomass for voluntary carbon markets:preliminary results

Estimating the carbon storage of forests is essential to support climate change mitigation and promote the transition into a low-carbon emission economy.To achieve this goal,voluntary carbon markets(VCMs)are essential.VCMs are promoted by a spontaneous demand,not imposed by binding targets,as the regulated ones.In Italy,only in Veneto and Piedmont Regions(Northern Italy),VCMs through forestry activities were carried out.Valle Camonica District(Northern Italy,Lombardy Region)is ready for a local VCM,but carbon storage of its forests was never estimated.The aim of this work was to estimate the total carbon storage(TCS;t C ha^−1)of forest biomass of Valle Camonica District,at the stand level,taking into account:(1)aboveground biomass,(2)belowground biomass,(3)deadwood,and(4)litter.We developed a user-friendly model,based on site-specifi c primary(measured)data,and we applied it to a dataset of 2019 stands extracted from 45 Forest Management Plans.Preliminary results showed that,in 2016,the TCS achieved 76.02 t C ha^−1.The aboveground biomass was the most relevant carbon pool(48.86 t C ha^−1;64.27%of TCS).From 2017 to 2029,through multifunctional forest management,the TCS could increase of 2.48 t C ha^−1(+3.26%).In the same period,assuming to convert coppices stands to high forests,an additional TCS of 0.78 t C ha^−1(equal to 2.85 t CO 2 ha^−1)in the aboveground biomass could be achieved without increasing forest areas.The additional carbon could be certifi ed and exchanged on a VCM,contributing to climate change mitigation at a local level.

Atlantic Forest Hotspot: Why We Should Consider Mature Forests a Conservation Priority in the São Paulo Metropolitan Region, Southeastern Brazil

The Atlantic Forest is among the 35 hotspots on the planet, and yet few floristic or structural studies have been conducted on mature forest fragments of that biome in Brazil. In view of this knowledge gap and of the need to further comprehend the importance of conserving mature forests, we surveyed the arboreal component of three little-altered forest remnants from the S?o Paulo metropolitan region (SPMR), southeastern Brazil, and compared our data with the one from other phytosociological studies performed in the region. Mature forests showed a different floristic composition from one of young forests. Overall, the former has a higher number and percentage of threatened and endemic species than the latter, and also a higher exclusivity of occurrence of threatened species. In areas up to twice as smaller, mature forests have 1.5 to 4.3 times more endemic species to the Atlantic Forest and up to 9 times more species threatened with extinction than young forests. These facts, along with the scarcity of remnants of mature forests, led us to consider such forests as hotspots within the Atlantic Forest hotspot in the SPMR, as well as to categorize them as of high relevance for conservation.

原始森林的概念、生态功能及研究进展

原始森林是指由乡土树种自然演替而成,没有明显人为干扰痕迹,生态过程没有受到明显影响的森林,其具有复杂的结构和生态功能,是自然界最稳定的碳储库和资源库,对全球气候调节及人类生存发展具有重要作用。在研究领域内明确、规范原始森林的概念和监测方法,有利于世界原始森林资源的清查、保护及监测。本研究在梳理国内外原始森林概念的基础上,归纳总结了原始森林特征,分析了国内外原始森林资源清查和监测的现状,综述了原始森林的重要生态功能:1)原始森林固碳能力存在的碳中性、碳源及碳库假说;2)原始森林具有优于其他森林的水文调节功能;3)原始森林是物种基因库,具有突出的生物多样性保护功能。基于目前对原始森林概念和监测中存在的问题,提出未来研究建议:在森林资源清查中将原始森林单独分类;加大对原始森林生态功能研究,开展原始森林固碳潜力、土壤呼吸的研究;增加原始森林水文调节能力研究,探索原始森林在缓解全球气候变化中的作用;探究原始森林生物多样性保护功能,减少全球生物多样性丧失。

基于气候时滞效应和空间异质性对中国植被总初级生产力的模拟

植物总初级生产力是定量描述生态系统固碳能力的重要指标,为了分析气候时空滞后效应和空间异质性对植被总初级生产力(GPP)的影响,以当年气象数据组(CC)、10年平均气象数据组(MC)和邻域气象数据组(FM)分别代表气候波动性、时间滞后效应和空间异质性,以及地形数据为自变量,构建随机森林模型,模拟了2000—2014年的历史时期的GPP值以及2015—2021年在SSP126、SSP245、SSP370和SSP585排放情景下的GPP值,计算模拟解释率,因子贡献率,最终确定最佳气象数据组。结果表明(1)地形因子中坡度对GPP的影响最大,气象因子中降水量对GPP的影响最大,整体而言GPP与地形因子较气象因子相关性强,是地形再分配气象因子的结果;(2)各时期GPP模型之间交叉模拟值与MODIS数据对比发现模型解释率R2均达到0.80以上,表明所建预测GPP的随机森林模型稳定性较强;(3)历史气象数据的GPP模型结果显示CC对当年GPP的解释率更高,表明气候波动性更好地展现当年气象与GPP间的关系;(4)基于历史时期和4种未来气候情景下3个气象数据组建立的模型之间交叉模拟,结果表明MC预测模型的解释率最高,表明该数据组稳定性最强,反过来采用4种未来气候情景下3个气象数据组的模型模拟历史时期的GPP,结果表明MC与其他两个气象数据组之间存在显著性差异(P<0.05),充分表明植被GPP响应气候具有时滞效应,并其影响程度显著大于气候的空间异质性和波动性,即前9年的气候持续影响植被GPP;(5)统计3个气象数据组在历史时期出现的概率,可知MC出现概率高的区域占比比其他两个数据组的大,在林地、灌木和草本三种景观类型中也出现相同的结论,另外MC对中高海拔和陡坡的预测能力比其他两个数据组的强,表明中高海拔地区在分配太阳辐射等复杂过程存在明显的时滞效应,而平缓地区易受当年和气候空间异质性影响。因本研究以10年为平均值计算单元,最佳时间滞后效应可能会比10年短或更长,需要进一步探讨,结论为气候变化背景下GPP模拟预测提供了最佳气象数据组。

人工林种植和生长对黄土高原生态系统固碳和水文调节功能的影响——基于遥感时序分析证据

随着生态恢复工程的进展,黄土高原人工林种植面积不断增加,黄土高原人工林生态系统服务功能的响应变化仍存在争议。基于黄土高原人工林的时空分布和种植年份信息,从生态系统净初级生产力(NPP)、蒸散发(ET)以及土壤含水率(SMC)三个维度评估黄土高原地区人工林生态系统固碳和水文调节服务功能的动态变化及其对天然林和整个区域生态系统功能的影响,并进一步研究2000—2020年间人工林林龄对生态系统服务功能的影响。天然林的NPP相对于整个区域的百分比基本保持不变,维持在21%左右;而人工林的NPP相对于整个区域的百分比显著增加,并在2009年超过了天然林,成为黄土高原NPP增加的主要来源。人工林占整个区域的ET百分比和SMC百分比均显著增加,分别由不到2%增长至13.9%、1.5%上升至11.8%。至2015年,黄土高原人工林的ET和SMC已经逐步趋于稳定。随着林龄增大,SMC变化速率和变化量不断下降。ET与林龄成正相关,而SMC与林龄负相关,表明具有不同年龄结构的人工林将有效减弱树木生长所引起的土壤干旱的影响。尽管黄土高原人工林林龄与NPP、ET和SMC变化速率和变化量之间存在显著相关性(P<0.01),但由于现阶段此地区人工林多为幼龄林和中龄林,未来这种显著相关关系是否持续有待进一步研究。

基于CASA模型的常州市森林植被净初级生产力及碳汇估算

森林植被在碳循环过程中发挥着关键作用,其碳汇分析对于城市生态系统管理有重要意义。基于多种卫星遥感数据、林地分布以及气象资料,结合CASA(Carnegie-Ames-Stanford Approach)模型,对2022年常州市森林碳汇进行模拟估算,综合分析其时空变化特征及驱动机制。结果表明:2022年常州市森林年度碳汇量总体达29.94万t,4—8月碳汇量较高;不同类型林地碳汇能力不同,乔木林碳汇能力较强,7月碳汇量最高可达80 gC/m2;气象因素对于森林碳汇具有相关影响,其中温度的影响要高于降水量。

基于随机森林的超深高压气井出砂程度分类预测方法

针对超深高压气井出砂程度分类预测涉及影响因素多、需要根据经验判别和耗时耗力等问题,提出了一种基于随机森林模型的超深高压气井出砂程度分类预测方法。首先,选取塔里木盆地克拉苏构造带裂缝性低孔砂岩气藏93口气井的地质、完井和开发特征因素,建立出砂程度样本数据集;利用Pearson相关系数统计分析方法,揭示超深高压气井出砂主控因素,形成机器学习筛选数据集;在此基础上,进行随机森林分类模型适用性及可靠性验证,得到超深高压气井出砂程度随机森林分类决策树。应用结果表明,地质、完井和开发三大类8个特征因素是导致气井出砂程度差异的主要控制因素,其与出砂程度的相关系数绝对值均大于0.2;随机森林融合以基尼指数为特征评价指标的CART分类决策算法,对不同测试集样本数量均具备良好的稳定性和较高的准确率,适用于超深高压气井出砂程度分类预测问题。相关研究思路及结果可为超深复杂油气储层高效开发及出砂井分类治理提供一定的方法指导。