Trend in seasonal amplitude of northern net ecosystem production:Simulated results from IAP DGVM in CAS-ESM2

北方陆地净生态系统生产力(NEP)具有明显的季节变化特征,这是大气CO_(2)季节变化的关键驱动.研究这些碳循环过程并理解潜在的驱动因素是气候研究的一个关键问题.本文利用第二代中国科学院地球系统模式(CAS-ESM2)中的全球植被动态模型(IAPDGVM),研究了1990-2014年北方NEP(40°-90°N)的季节振幅及其变化趋势.在初始化试验的基础上,本文开展了一个控制试验来评估模拟的北方NEP季节幅度的变化趋势,同时开展了三个敏感性试验来研究气候和大气CO_(2)的贡献.结果表明:1990-2014年,模拟的北方NEP季节振幅显著增加,趋势为9.69万吨碳/月/年,这主要是由于最大NEP增加所致.当分别排除CO_(2)施肥效应和气候效应时,上述增加趋势大大减弱.这些显著的减少表明大气CO_(2)和气候变化对北方NEP的季节性振幅有重要影响.尽管模式存在不确定性,但这些结果有利于进一步提升IAPDGVM对陆地碳循环的精确模拟,也为CAS-ESM研究碳-气候相互作用的应用提供了重要参考.

应用集合卡尔曼滤波算法对土壤呼吸速率同化及NEP估算

为了对净生态系统生产力(NEP)进行准确估算,以长白山通量观测站观测数据为基础,构建土壤温度、湿度耦合因子的更新模型(线性函数、指数函数、二次式函数),结合集合卡尔曼滤波算法(EnKF)获取高精度土壤呼吸速率数据,应用陆地生态系统碳循环综合模型(InTEC模型)准确估算NEP。结果表明:二次式模型的EnKF算法同化结果估算效果最好,决定系数(R^(2))为0.782,均方根误差为52.90 g·m^(-2)·a^(-1);指数模型EnKF算法同化结果估算值的R^(2)为0.755,均方根误差为56.47 g·m^(-2)·a^(-1);线性模型EnKF算法同化结果估算值的R^(2)为0.742,均方根误差为62.80 g·m^(-2)·a^(-1)。选取二次式模型优化后的土壤呼吸速率数据,InTEC模型模拟长白山通量观测站长时间序列净生态系统生产力的R^(2)为0.900,均方根误差为61.77 g·m^(-2)·a^(-1);InTEC模型模拟东北三省森林生态系统2003—2010年的净生态系统生产力年均值,由初始模拟的30.07 g·m^(-2)·a^(-1),经EnKF算法更新后提升到176.87 g·m^(-2)·a^(-1)。因此,采用EnKF更新土壤温度-湿度耦合因子获取的土壤呼吸速率数据,能够提高InTEC模型估算NEP的精度,为大区域尺度森林生态系统NEP估算提供技术支持。

Past, Present and Future Perspectives of Rice Production in Tanzania

Cultivated rice (Oryza sativa L. and Oryza. glaberrima) is one of the most important food crops in the world. World rice production has increased three times since the green revolution. However, climate change and global warming effects as well as ever increasing world population will require the world to produce more rice without increasing area under rice production in order to meet those demands. The best option to overcome these challenges includes adoption of climate-smart technologies and sustainable solutions to rice production. Rice was probably introduced in Tanzania over 1000 years ago by Asian traders during trade contacts between Asia and East Africa Coast through Indian Ocean. Rice cultivation had been restricted to coastal area until 19th century when it started spreading to interior areas of Tanzania. During colonial period (1880s-1960s), the emphasis was to produce cash crops as raw materials for industrialized world. After independence production of rice increased significantly. Currently, rice is the second most important food crop in Tanzania after maize and Tanzania is the leading producer of rice in East African countries. It ranks 4th and 22nd in Africa and World respectively in terms of rice production. In this paper, the rice history, ecosystems, challenges and future perspective for sustaining rice production in Tanzania is reviewed.

Trade-offs and synergies between ecosystem services in Yutian County along the Keriya River Basin,Northwest China

The Keriya River Basin is located in an extremely arid climate zone on the southern edge of the Tarim Basin of Northwest China,exhibiting typical mountain-oasis-desert distribution characteristics.In recent decades,climate change and human activities have exerted significant impacts on the service functions of watershed ecosystems.However,the trade-offs and synergies between ecosystem services(ESs)have not been thoroughly examined.This study aims to reveal the spatiotemporal changes in ESs within the Keriya River Basin from 1995 to 2020 as well as the trade-offs and synergies between ESs.Leveraging the Integrated Valuation of Ecosystem Services and Trade-offs(InVEST)and Revised Wind Erosion Equation(RWEQ)using land use/land cover(LULC),climate,vegetation,soil,and hydrological data,we quantified the spatiotemporal changes in the five principal ESs(carbon storage,water yield,food production,wind and sand prevention,and habitat quality)of the watershed from 1995 to 2020.Spearman correlation coefficients were used to analyze the trade-offs and synergies between ES pairs.The findings reveal that water yield,carbon storage,and habitat quality exhibited relatively high levels in the upstream,while food production and wind and sand prevention dominated the midstream and downstream,respectively.Furthermore,carbon storage,food production,wind and sand prevention,and habitat quality demonstrated an increase at the watershed scale while water yield exhibited a decline from 1995 to 2020.Specifically,carbon storage,wind and sand prevention,and habitat quality presented an upward trend in the upstream but downward trend in the midstream and downstream.Food production in the midstream showed a continuously increasing trend during the study period.Trade-off relationships were identified between water yield and wind and sand prevention,water yield and carbon storage,food production and water yield,and habitat quality and wind and sand prevention.Prominent temporal and spatial synergistic relationships were observed between different ESs,notably between carbon storage and habitat quality,carbon storage and food production,food production and wind and sand prevention,and food production and habitat quality.Water resources emerged as a decisive factor for the sustainable development of the basin,thus highlighting the intricate trade-offs and synergies between water yield and the other four services,particularly the relationship with food production,which warrants further attention.This research is of great significance for the protection and sustainable development of river basins in arid areas.

Quantification of Ecosystem Services Provided by <i>Pterocarpus lucens</i>Lepr. Ex Guill. and Perrott.: Forage Production, Timber and Carbon Sequestration in the Biosphere Reserve of Ferlo (Northern Senegal)

This study aims at quantifying the most important ecosystem services: forage production, timber production and carbon sequestration provided by Pterocarpus lucens to local communities of Ferlo Biosphere Reserve. The results suggested that the ecological structure of Pterocarpus lucens revealed a bell-shaped form with left dissymmetric distribution indicating a predominance of individuals with small circumference and height. A regression using the software Minitab 16, with circumference and the height as explanatory variables, has allowed a development of predictive models for the estimation of the produced forage and the quantification of the timber supplied by one of the most used plant species in Sahelian pastures. Forage production of Pterocarpus lucens was estimated at 178 kg DM/ha. This large value of forage showed the predominance of this species in animal feed in the Sahel. The quantity of wood produced was 545 kg DM/ha while the quantity of above ground sequestered carbon was 325.35 kg of C/ha. Those estimations are interesting in the implementation context of the Ferlo Biosphere Reserve which aims at matching the productive capacity of ecosystems with the needs of local communities.

Spatiotemporal variations of ecosystem services and driving factors in the Tianchi Bogda Peak Natural Reserve of Xinjiang,China

Nature reserves play a significant role in providing ecosystem services and are key sites for biodiversity conservation.The Tianchi Bogda Peak Natural Reserve(TBPNR),located in Xinjiang Uygur Autonomous Region,China,is an important ecological barrier area in the temperate arid zone.The evaluation of its important ecosystem services is of great significance to improve the management level and ecological protection efficiency of the reserve.In the present study,we assessed the spatiotemporal variations of four ecosystem services(including net primary productivity(NPP),water yield,soil conservation,and habitat quality)in the TBPNR from 2000 to 2020 based on the environmental and social data using the Integrated Valuation of Ecosystem Services and Trade-offs(InVEST)model.In addition,the coldspot and hotspot areas of ecosystem services were identified by hotspot analysis,and the trade-off and synergistic relationships between ecosystem services were analyzed using factor analysis in a geographic detector.During the study period,NPP and soil conservation values in the reserve increased by 48.20%and 25.56%,respectively;conversely,water yield decreased by 16.56%,and there was no significant change in habitat quality.Spatially,both NPP and habitat quality values were higher in the northern part and lower in the southern part,whereas water yield showed an opposite trend.Correlation analysis revealed that NPP showed a synergistic relationship with habitat quality and soil conservation,and exhibited a trade-off relationship with water yield.Water yield and habitat quality also had a trade-off relationship.NPP and habitat quality were affected by annual average temperature and Normalized Difference Vegetation Index(NDVI),respectively,while water yield and soil conservation were more affected by digital elevation model(DEM).Therefore,attention should be paid to the spatial distribution and dynamics of trade-off and synergistic relationships between ecosystem services in future ecological management.The findings of the present study provide a reference that could facilitate the sustainable utilization of ecosystem services in the typical fragile areas of Northwest China.

Responses of Vegetation and Primary Production in North-South Transect of Eastern China to Global Change Under Land Use Constraint

A regional model of vegetation dynamics was revised to include land use as a constraint to vegetation dynamics and primary production processes. The model was applied to a forest transect in eastern China (NSTEC, North-South transect of eastern China) to investigate the responses of the transect to possible future climatic change. The simulation result indicated that land use has profound effects on vegetation transition and primary production. In particular, land use reduced competition among vegetation classes and tended to result in less evergreen broadleaf forests but more shrubs and grasses in the transect area. The simulation runs with land use constraint also gave much more realistic estimation about net primary productivity as well as responses of the productivity to future climatic change along the transect. The simulations for future climate scenarios projected by general circulation models (GCM) with doubled atmospheric CO2 concentration predicted that deciduous broadleaf forests would increase, but conifer forests, shrubs and grasses would decrease. The overall effects of doubling CO2 and climatic changes on NSTEC were to produce an increased net primary productivity (NPP) at equilibrium for all seven GCM scenarios. The predicted range of NPP variation in the north is much larger than that in the south.

Assessing the vulnerability of ecosystems to climate change based on climate exposure, vegetation stability and productivity

Background: Global warming has brought many negative impacts on terrestrial ecosystems, which makes the vulnerability of ecosystems one of the hot issues in current ecological research. Here, we proposed an assessment method based on the IPCC definition of vulnerability. The exposure to future climate was characterized using a moisture index(MI) that integrates the effects of temperature and precipitation. Vegetation stability, defined as the proportion of intact natural vegetation that remains unchanged under changing climate, was used together with vegetation productivity trend to represent the sensitivity and adaptability of ecosystems. Using this method, we evaluated the vulnerability of ecosystems in Southwestern China under two future representative concentration pathways(RCP 4.5 and RCP 8.5) with MC2 dynamic global vegetation model.Results:(1) Future(2017–2100) climate change will leave 7.4%(under RCP 4.5) and 57.4% of(under RCP 8.5) of areas under high or very high vulnerable climate exposure;(2) in terms of vegetation stability, nearly 45% of the study area will show high or very high vulnerability under both RCPs. Beside the impacts of human disturbance on natural vegetation coverage(vegetation intactness), climate change will cause obvious latitudinal movements in vegetation distribution, but the direction of movements under two RCPs were opposite due to the difference in water availability;(3) vegetation productivity in most areas will generally increase and remain a low vulnerability in the future;(4) an assessment based on the above three aspects together indicated that future climate change will generally have an adverse impact on all ecosystems in Southwestern China, with non-vulnerable areas account for only about 3% of the study area under both RCPs. However, compared with RCP 4.5, the areas with mid-and highvulnerability under RCP 8.5 scenario increased by 13% and 16%, respectively.Conclusion: Analyses of future climate exposure and projected vegetation distribution indicate widespread vulnerability of ecosystems in Southwestern China, while vegetation productivity in most areas will show an increasing trend to the end of twenty-first century. Based on new climate indicators and improved vulnerability assessment rules, our method provides an extra option for a more comprehensive evaluation of ecosystem vulnerability, and should be further tested at larger spatial scales in order to provide references for regional, or even global, ecosystem conservation works.

Quantifying the impacts of fire aerosols on global terrestrial ecosystem productivity with the fully-coupled Earth system model CESM

Fire is a global phenomenon and a major source of aerosols from the terrestrial biosphere to the atmosphere.Most previous studies quantified the effect of fire aerosols on climate and atmospheric circulation,or on the regional and site-scale terrestrial ecosystem productivity.So far,only one work has quantified their global impacts on terrestrial ecosystem productivity based on offline simulations,which,however,did not consider the impacts of aerosol–cloud interactions and aerosol–climate feedbacks.This study quantitatively assesses the influence of fire aerosols on the global annual gross primary productivity(GPP)of terrestrial ecosystems using simulations with the fully coupled global Earth system model CESM1.2.Results show that fire aerosols generally decrease GPP in vegetated areas,with a global total of−1.6 Pg C yr^−1,mainly because fire aerosols cool and dry the land surface and weaken the direct photosynthetically active radiation(PAR).The exception to this is the Amazon region,which is mainly due to a fire-aerosol-induced wetter land surface and increased diffuse PAR.This study emphasizes the importance of the influence of fire aerosols on climate in quantifying global-scale fire aerosols’impacts on terrestrial ecosystem productivity.

福建省森林植被NEP时空变化及影响因子分析

不断加剧的气候变化和人类活动增加了区域生态系统碳循环研究的不确定性。净生态系统生产力(NEP)能够定量描述陆地生态系统与大气之间的碳交换量,探究区域生态系统NEP的时空变化及对气象、植被等因子的响应有助于明晰区域生态系统碳收支状况和应对气候变化。基于TEC模型和生态系统呼吸模型评估了福建省森林2000-2020年NEP时空格局,并借助地理探测器和贡献率方法探究了福建省NEP时空变化的主要驱动因子。结果表明:(1)2000-2020年福建省森林多年年均NEP为528 g·m^(-2),呈极显著的增强趋势。空间分布规律为“高值主要分布在福建南部的内陆地区,低值主要分布在中北部和南部沿海地区”,约48.3%的地区NEP呈显著上升趋势,主要分布在福建省的中部偏西南地区,而仅有1.00%的地区呈显著下降趋势;(2)空间分布上,影响福建省森林NEP的空间分异的主要因子为植被、地形和气象要素。归一化植被指数对森林NEP空间分布的影响最大,是影响福建省森林NEP空间分异的主要驱动因子,其次是地形和太阳辐射,高程的最适区间为891-1 491 m,而辐射的最适区间为128-130 W·m^(-2)。与单因子相比,双因子间的相互作用均增强了对NEP空间分布的影响,其中归一化植被指数与太阳辐射的交互作用对NEP解释力最强;(3)时间变化上,气候与植被因子综合解释了福建省森林NEP年际变化的46.7%,其中归一化植被指数的升高是NEP多年变化的主导因素,而气象因子的变化均对NEP的上升趋势起到了负抑制作用,这说明在“双碳”建设时需要有效提高植被对气候变化的适应能力。

Spatiotemporal characteristics and influencing factors of ecosystem services in Central Asia

Land use/land cover(LULC)change and climate change are two major factors affecting the provision of ecosystem services which are closely related to human well-being.However,a clear understanding of the relationships between these two factors and ecosystem services in Central Asia is still lacking.This study aimed to comprehensively assess ecosystem services in Central Asia and analyze how they are impacted by changes in LULC and climate.The spatiotemporal patterns of three ecosystem services during the period of 2000-2015,namely the net primary productivity(NPP),water yield,and soil retention,were quantified and mapped by the Carnegie-Ames-Stanford Approach(CASA)model,Integrated Valuation of Ecosystem Services and Tradeoffs(InVEST)model,and Revised Universal Soil Loss Equation(RUSLE).Scenarios were used to determine the relative importance and combined effect of LULC change and climate change on ecosystem services.Then,the relationships between climate factors(precipitation and temperature)and ecosystem services,as well as between LULC change and ecosystem services,were further discussed.The results showed that the high values of ecosystem services appeared in the southeast of Central Asia.Among the six biomes(alpine forest region(AFR),alpine meadow region(AMR),typical steppe region(TSR),desert steppe region(DSR),desert region(DR),and lake region(LR)),the values of ecosystem services followed the order of AFR>AMR>TSR>DSR>DR>LR.In addition,the values of ecosystem services fluctuated during the period of 2000-2015,with the most significant decreases observed in the southeast mountainous area and northwest of Central Asia.LULC change had a greater impact on the NPP,while climate change had a stronger influence on the water yield and soil retention.The combined LULC change and climate change exhibited a significant synergistic effect on ecosystem services in most of Central Asia.Moreover,ecosystem services were more strongly and positively correlated with precipitation than with temperature.The greening of desert areas and forest land expansion could improve ecosystem services,but unreasonable development of cropland and urbanization have had an adverse impact on ecosystem services.According to the results,ecological stability in Central Asia can be achieved through the natural vegetation protection,reasonable urbanization,and ecological agriculture development.

2000—2020年黄土高原NEP时空格局与驱动力

黄土高原是中国重要的生态屏障。在全球变化的背景下,黄土高原的碳收支平衡备受关注。本研究基于MOD17A3HGF数据,通过GSMSR模型、趋势分析、差异分析以及地理探测器等方法,分析2000—2020年黄土高原的碳源/汇特征,揭示2000—2020年该区域生态系统净生产力(NEP)的时空格局及其驱动因素。同时,将研究区按经度方向划分为西、中、东三个子区域,比较不同区域内驱动因素的差异性。结果表明:(1)近20 a黄土高原49.69%的区域从碳源向碳汇转变;NEP随时间波动上升,在东南部高于西北部,多年平均值为12 g C·m^(-2)·a^(-1)。(2)水分条件是影响NEP空间分布的主要自然因素,而土地利用类型则是影响NEP空间分布的主要人为因素;不同因子间的交互作用对NEP的影响普遍大于单个因子。(3)西、中、东三个子区域NEP的驱动因子存在明显的空间分异特征,中、西部地区受气候影响较多,以降水、湿度等水分条件为主;东部地区受地形、气候、人类活动等因素综合影响,其中,以土地利用类型为代表的人为干扰最强。

The Dynamics and Driving Force of Farmland Ecosystem Productivity

Based on the experimental data of crop yield, soil water and fertility of a dryland farming ecosystem in northwest China, asystematic analysis is carried out to study the dynamics of dryland farming ecosystem productivity and its limitingfactors. This paper also discusses which of the two limiting factors, i.e., soil water or fertility, is the primary factor and theirdynamics. The result shows that fertility is the primary limiting factor when the productivity is rather low. As chemicalfertilizer input increases and the productivity promotes, water gradually becomes the primary limiting factor. Chemicalfertilizers and plastic film mulching are the two major driving forces that determine the crop productivity and its stabilityin these areas.

Succession and Enhancement Mechanism of Ecosystem Productivity in the De-farming Area of the Ecotone Between Agriculture and Animal Husbandry in North China

The succession and enhancement mechanism of the ecosystem productivity with the characteristics ot de-tarmlng in me ecotone between agriculture and animal husbandry in North China was discussed in order to provide an ideaology or a technical basis for maintaining the impetus of ecological restoration and economic development in this region. A case study was applied in combination with the theoretical analysis. The results indicated that the biomass productivity of the de-farming subsystem decreased by 38.4-72.3% compared with that of farming subsystem in the ecosystem. The main function of de-farming subsystem was focused on ecological productivity, it caused the ideal beneficial recycling ‘defarming → planting grass → raising animals → earn money＇ difficult to be realized. With the differentiation of de-farming subsystem, the natural and social resources input to the farming subsystem were accumulated. This laid a basis for the new attributes of economic productivity to be upgraded. The case study indicated that the economic productivity of the ecosystem was increased by 8.85-13.35 times due to re-coupling between the de-farming subsystem and the farming subsystem as well as coupling between microhabitat differentiation and crop production in the subsystems, where the microhabitat differentiation could enrich water and fertilizer in the same field. It was concluded that the important mechanisms to enhance the system productivity in the ecotone between agriculture and animal husbandry of North China included structure rebuilding and opening of the de-farming ecosystem and taking the advantage of complementary cooperative production among different regions under the market economy and rebuilding an open agro-pasture production structure,

Vertical Farming Using Hydroponic System: Toward a Sustainable Onion Production in Nueva Ecija, Philippines

The development of new technology for food production is essential to sustain man’s needs for survival. The use of farmlands for food production and industrial purposes goes beyond the carrying capacity of the environment. The study determined the applicability of Vertical Farming using Hydroponic Technology to onion production in Nueva Ecija, Philippines. The country is known as the onion capital of Southeast Asia. The study measured the technology’s sustainability and acceptability to onion farmers. By using experimental method, interview, and Focused Group Discussions (FGD), the study established its viability. Three phases of field experiments were conducted in August 2016, May 2017 and July 2017 using the Vertical Farming and Hydroponics Technology and Single Factor Analysis of Variance. The results showed that there is significant difference in the growth of onion bulb per week and the suitability and comparability of the technology to conventional farming. The study concluded that the VFH technology is acceptable to most onion farmers except the aspect of the cost of initial investment which requires government subsidy for the ordinary onion grower to avail of this new and sustainable technology in onion production.

The Measurement of the Software Ecosystem’s Productivity with GitHub

Software productivity has always been one of the most critical metrics for measuring software development.However,with the open-source community(e.g.,GitHub),new software development models are emerging.The traditional productivity metrics do not provide a comprehensive measure of the new software development models.Therefore,it is necessary to build a productivity measurement model of open source software ecosystem suitable for the open-source community’s production activities.Based on the natural ecosystem,this paper proposes concepts related to the productivity of open source software ecosystems,analyses influencing factors of open source software ecosystem productivity,and constructs a measurement model using these factors.Model validation experiments show that the model is compatible with a large portion of open source software ecosystems in GitHub.This study can provide references for participants of the open-source software ecosystem to choose proper types of ecosystems.The study also provides a basis for ecosystem health assessment for researchers interested in ecosystem quality.

How Does the Agricultural Ecosystem Productivity Respond to Climate Fluctuations in the Northern Farming-pastoral Region?

Using meteorological data and mathematical statistics analysis,we take Jungar Banner in the northern farming-pastoral region of China for example,to analyze the fluctuations in the precipitation and average temperature in Jungar Banner during the period 1961-2009.We calculate the NPP of agricultural ecosystem and climatic yield of the main crops in the region during the period 1961-2009,and expound the response of agricultural ecosystem productivity to climate fluctuations in Jungar Banner.Indubitably the climate changes impose great effects on the structure and function of regional ecosystem,and there is a need to take a number of measures to minimize the detrimental effects of climate changes on climatic yield of the main crops.

Effect of Farming Practices on Honey Production in Boundary of Gishwati Forest National Park

Pesticides and inorganic fertilizers applied in agriculture are key factors which affect biodiversity, especially bees, butterfly and other pollinators. Therefore, this study assessed the effects of farming practices on honey production in boundary of Gishwati Forest National Park in Rwanda. Survey was conducted to collect data from 2000 year to 2018 year from 51 members grouped in UNICOAPIGI beekeeping and 73 members of JYAMBERE agricultural cooperatives to establish the impact of agriculture practice on honey production. The results showed that the change in agricultural inputs from 2000 to 2018 (R2 = 0.901) resulted in high corn yield and consequently induced honey reduction (R2 = 0.75). The correlation coefficients for pesticides and inorganic fertilizers used in corn production had strong negative effects on honey production {γ3 = -0.06 for chemical fertilizers (X3) and γ4 = -0.42 for pesticides (X4)}. JYAMBERE Agricultural cooperative with 75.78% of farmers reported that they used pesticides and inorganic fertilizers in corn production. However, 51 beekeepers grouped in UNICOAPIGI cooperative reported a serious decline of honey production from 27 Kg to 6 Kg of honey per hive after the 2008 year, which is suspected to be mainly the effect from applications of pesticides and fertilizers in corn production. The findings illustrated that the roles of honeybees as pollinator exposed them to toxic, especially pesticides applied in agriculture in boundary of Gishwati national forest reserve, therefore, beekeepers proposed that protection of forests and park is not only sufficient to reach sustainable conservation of bee biodiversity but also requires determining the land use pattern and socio-political factors around the Gishwati forest reserve.

Farmers’ perceptions of pollinators’ importance in coffee production in Uganda

Coffee (Coffea canephora) is the principal cash crop and the country’s largest agricultural foreign revenue earner in Uganda. Previous surveys confirmed that coffee grown in central Uganda was largely depending on bee pollination to set fruit set. Despite its high contribution to the economics of agricultural sector in Uganda and despite its great dependency to bees for fruit set, it is not clear if small-scale farmers are aware of the importance of managing farm-landscapes for pollination services conservation to increase coffee yield. The aim of this study was to assess farmers’ perceptions and knowledge of the importance of pollinators and pollination services conservation for coffee production enhancement. The main hypothesis was that small-scale coffee growers were not aware of the relevance of pollination services for coffee production. Farmers’ surveys were conducted in coffee-banana farming systems in central Uganda. It was found in this study that more than 90% of interviewed farmers were not aware of the role played by bees in coffee yield increase. Farmers were not willing to manage their lands to protect pollination services, particularly because they considered pollination service as an unsolicited “free service”, or as a “public good”. Farmers were not aware of the role of semi- natural habitats serving as reservoir (hiding points) for pollinators in the surrounding of coffee fields. However, they were aware of some ecosystem services delivered in the coffee- banana farming system such as planting shading trees. Only 3.3% of respondents believed that placing beehives in coffee farms could increase the yield. The study recommended the increase of the awareness of small-scale coffee growers on the importance of pollinators to increase coffee production. It is recommended that future management of pollination services are built on improving farmers’ indigenous knowledge and on adequate understanding of the ecology of the local pollinator species. There is a need to broadly scale-up best field, habitat and landscape management strategies and practices that are friendly to coffee pollinators in rural landscapes of

2000—2020年我国西南地区植被NEP时空变化及其驱动因素的相对贡献

西南地区作为我国重要的生态安全屏障,探究其植被净生态系统生产力(net ecosystem productivity,NEP)的时空演变规律对该地区乃至我国的可持续发展都具有重要意义.基于MODIS数据、气象数据、DEM数据和土地利用数据等,首先,利用改进的Carnegie Ames Stanford Approach(CASA)模型和土壤微生物呼吸方程,估算2000—2020年我国西南地区植被NEP;其次,结合Theil-Sen Median趋势分析、偏相关分析和复相关分析等方法,研究西南地区植被NEP时空变化及其对气候变化和土地利用变化的响应机制;最后,利用基于情境分析的相对贡献分析法,定量评估气候变化和土地利用变化对西南地区植被NEP变化的相对贡献.结果表明:时间上,2000—2020年我国西南地区及其五省份(云南省、贵州省、四川省、重庆市和西藏自治区)生态系统植被NEP均表现为上升趋势,其中,西南地区植被NEP上升速率为4.74 g/(m^(2)·a).空间上,西南地区及其五省份植被NEP呈上升趋势的面积均大于呈下降趋势的面积,其中,西南地区植被NEP呈极显著上升的面积占45.41%,主要分布在云南省南部、贵州省西部、四川省东部和重庆市南部.西南地区植被NEP与降水量的偏相关系数平均值为0.13,大于其与气温和太阳辐射的偏相关系数平均值,由此可知,降水量对西南地区植被NEP增长的促进作用大于气温和太阳辐射.西南地区植被NEP变化受气候变化影响的区域中,受气温、降水量、太阳辐射弱驱动的区域最大,占研究区总面积的23.63%.2000—2020年西南地区土地利用变化使得植被NEP总量增加了96.64 Tg,其中,草地转化为林地使得植被NEP增加的总量最大.在碳汇区,各土地利用类型中土地利用变化对建设用地植被NEP变化的贡献率最大,为69.38%;在碳源区,各土地利用类型中气候变化对耕地的植被NEP变化的贡献率最大,为50.08%.研究显示,2000—2020年我国西南地区及其五省份的生态系统整体均表现为碳汇,且碳汇功能呈增强趋势,气候变化和土地利用变化共同影响着西南地区的碳汇功能.