Biodiversity in the context of ecosystem services: the applied need for systems approaches

Recent evidence strongly suggests that biodiversity loss and ecosystem degradation continue. How might a systems approach to ecology help us better understand and address these issues? Systems approaches play a very limited role in the science that underpins traditional biodiversity conservation, but could provide important insights into mechanisms that affect population growth. This potential is illustrated using data from a critically endangered bird population. Although species-specific insights have practical value, the main applied challenge for a systems approach is to help improve our understanding of the role of biodiversity in the context of ecosystem services (ES) and the associated values and benefits people derive from these services. This has profound implications for the way we conceptualize and address ecological problems. Instead of focusing directly on biodiversity, the important response variables become measures of values and benefits, ES or ecosystem processes. We then need to understand the sensitivity of these variables to biodiversity change relative to other abiotic or anthropogenic factors, which includes exploring the role of variability at different levels of biological organization. These issues are discussed using the recent UK National Ecosystems Assessment as a framework.     

Fishery statistics: What we need to know

Abstract

A recent exchange of papers articulated the need for revision and extensions of the existing data set on the world's catch of ocean fish. The suggested revisions involve linking the existing Food and Agricultural Organization (FAO) geographical areas with currently defined extended economic zones (EEZs) and an improved ability to obtain data on specific key species offish that are important for conservation or commercial purposes or both. The suggested extensions involve the inclusion of economic data primarily on capital, labor, and fishing effort in the FAO data set. Given a consensus on the need for an improved data base, the next question is: Of the many options available, what statistics at what cost and for what set of end users should be prepared.     

To what extent can ecosystem services motivate protecting biodiversity?

Society increasingly focuses on managing nature for the services it provides people rather than for the existence of particular species. How much biodiversity protection would result from this modified focus? Although biodiversity contributes to ecosystem services, the details of which species are critical, and whether they will go functionally extinct in the future, are fraught with uncertainty. Explicitly considering this uncertainty, we develop an analytical framework to determine how much biodiversity protection would arise solely from optimising net value from an ecosystem service. Using stochastic dynamic programming, we find that protecting a threshold number of species is optimal, and uncertainty surrounding how biodiversity produces services makes it optimal to protect more species than are presumed critical. We define conditions under which the economically optimal protection strategy is to protect all species, no species, and cases in between. We show how the optimal number of species to protect depends upon different relationships between species and services, including considering multiple services. Our analysis provides simple criteria to evaluate when managing for particular ecosystem services could warrant protecting all species, given uncertainty. Evaluating this criterion with empirical estimates from different ecosystems suggests that optimising some services will be more likely to protect most species than others.     

基于生物多样性和生态系统服务的青藏高原保护优先区和保护空缺识别

协同生物多样性保护和生态系统服务功能维持对制定系统性保护规划具有重要意义。研究以青藏高原为研究区,应用Maxent模型模拟了重点植物的空间分布,结合世界保护联盟(IUCN)重点动物空间分布数据和生态系统服务空间分布,利用Zonation模型依次识别了基于单一因素的保护优先区以及集成生物多样性和生态系统服务的保护优先区,评估了青藏高原现有自然保护地对保护优先区、重要物种及生态系统服务的保护状况和保护空缺。结果表明：(1)青藏高原保护优先区保护价值呈现由东南向西北递减趋势,优先区主要分布在青藏高原东南缘喜马拉雅山地、雅鲁藏布江中游河谷及横断山区等区域,生物多样性保护优先区和生态系统服务保护优先区分布略有差异,存在43.2%的空间重叠;(2)在重要物种保护上,自然保护地对两栖动物的保护率最高,平均保护了38.2%,哺乳动物次之(24%),爬行动物的保护率较低,仅为10.2%。对生态系统服务功能覆盖率分别是44.1%(防风固沙)、27.1%(水源涵养)、22.3%(土壤保持)、17.1%(碳固定)和16.6%(洪水调蓄);(3)自然保护地对研究识别的保护优先区存在保护空缺,仅覆盖了26.8%的集成保护优先区,Ⅰ级、Ⅱ级和Ⅲ级优先区保护空缺面积占青藏高原面积的7.2%、6.9%和7.7%。研究结果可为青藏高原以国家公园为主体的自然保护地体系优化提供科学依据与理论支撑。     

All you need to know about p53

A novel protein-based approach has been developed to import a cell-permeable form of the site-specific recombinase Cre into undifferentiated and terminally differentiated mammalian cells     

Crocodile farming and conservation,the example of Zimbabwe

Crocodile farming is an important and lucrative activity in Zimbabwe which provides meat for human consumption and skins for the luxury leather industry. Because it gives an economic value to this otherwise unfriendly animal, farming crocodiles has a positive side effect on the conservation of this species in the wild. This paper gives an overview of the crocodile industry in Zimbabwe.     

生态系统服务网及其生态学意义

生态系统服务概念的提出将人类福祉与生态环境更直接地联系起来,有助于认识和解决发展与保护的难题。从生态系统服务网络的视角出发,可以更好的理解生态系统服务供给、流动和需求等相关复杂问题。(1)生态系统服务网将不同生态过程与服务有机联系起来,为生态系统服务交互研究提供参考。(2)不同尺度下生态系统服务间的交互作用以及自然-社会的互动是网络体系的重要组成部分,按服务网络间联系方式可以划分为网状层次、关系模块和对象模块。(3)生态系统服务在生物、生境网络中形成,受自然因素和人为因素的双重影响,服务网络间的联系与转化受生态系统服务流和网络关系的制约。(4)景观异质性、生物多样性和生态循环分别是生态系统服务网络形成的基础、核心和形成机制。(5)生态系统服务网络便于生态系统服务价值评估、空间制图,是提高人类对环境认知的重要手段。(6)人类福祉与生态系统服务间的非线性关系适宜用网络来表达,景观优化实质上是生态系统服务网调控的动态过程。     

What we know and don't know about Earth's missing biodiversity

Estimates of non-microbial diversity on Earth range from 2 million to over 50 million species, with great uncertainties in numbers of insects, fungi, nematodes, and deep-sea organisms. We summarize estimates for major taxa, the methods used to obtain them, and prospects for further discoveries. Major challenges include frequent synonymy, the difficulty of discriminating certain species by morphology alone, and the fact that many undiscovered species are small, difficult to find, or have small geographic ranges. Cryptic species could be numerous in some taxa. Novel techniques, such as DNA barcoding, new databases, and crowd-sourcing, could greatly accelerate the rate of species discovery. Such advances are timely. Most missing species probably live in biodiversity hotspots, where habitat destruction is rife, and so current estimates of extinction rates from known species are too low.