biodiversity conservation include; zoological gardens, botanical The manifestation of biodiversity is the biological resources (genes, species, organisms. biodiversity conservation fit into other big picture goals like sustainable development? What exactly is sustainable development? This chapter takes a closer look. by the sociobiologist Edward Wilson to describe the. CHAPTER BIODIVERSITY AND. CONSERVATION. Biodiversity. Biodiversity Conservation.

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PDF | On Aug 2, , Arvind Singh and others published Biodiversity and its conservation. BIODIVERSITY CONSERVATION. A Learning Resource Guide for Teachers in. Ordinary Level Secondary Education in Tanzania. UNITED REPUBLIC OF. conserving biodiversity and the associated ecosystem services. This is true not only for Biodiversity%20Guidance%20Rev01%20%28Final%pdf. National .

Monoculture was a contributing factor to several agricultural disasters, including the European wine industry collapse in the late 19th century and the US southern corn leaf blight epidemic of This is because the species most likely to disappear are those that buffer against infectious disease transmission, while surviving species tend to be the ones that increase disease transmission, such as that of West Nile Virus, Lyme disease and Hantavirus, according to a study done co-authored by Felicia Keesing, an ecologist at Bard College and Drew Harvell, associate director for Environment of the Atkinson Center for a Sustainable Future ACSF at Cornell University.

Partly, the problem lies in the success of water suppliers to increase supplies and failure of groups promoting preservation of water resources. Biodiversity has been critical to advances throughout the field of bionics. Evidence from market analysis and biodiversity science indicates that the decline in output from the pharmaceutical sector since the mids can be attributed to a move away from natural product exploration "bioprospecting" in favor of genomics and synthetic chemistry, indeed claims about the value of undiscovered pharmaceuticals may not provide enough incentive for companies in free markets to search for them because of the high cost of development; [] meanwhile, natural products have a long history of supporting significant economic and health innovation.

These include building materials, fibers, dyes, rubber and oil. Biodiversity is also important to the security of resources such as water, timber, paper, fiber and food.

Biodiversity inspires musicians , painters, sculptors , writers and other artists. Many cultures view themselves as an integral part of the natural world which requires them to respect other living organisms. Popular activities such as gardening , fishkeeping and specimen collecting strongly depend on biodiversity.

The number of species involved in such pursuits is in the tens of thousands, though the majority do not enter commerce. The relationships between the original natural areas of these often exotic animals and plants and commercial collectors, suppliers, breeders, propagators and those who promote their understanding and enjoyment are complex and poorly understood. The general public responds well to exposure to rare and unusual organisms, reflecting their inherent value.

Philosophically it could be argued that biodiversity has intrinsic aesthetic and spiritual value to mankind in and of itself. This idea can be used as a counterweight to the notion that tropical forests and other ecological realms are only worthy of conservation because of the services they provide.

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The text in each cell in this column indicates the level of significance not significant n. Columns 3—6 indicate the presence of data for each of the four types of evidence described in the main text in support of mechanistic relationships between diversity and disease risk.

Pathogen abbreviations: Escherichia coli , Giardia spp. The next step required to develop biodiversity conservation as a public health intervention is to determine whether correlational relationships between host biodiversity and pathogen transmission are causal and to determine the mechanism and host species that are most important in reducing disease risk.

Targeted biodiversity conservation interventions may be more effective, especially if they are guided by a mechanistic understanding of transmission ecology. For example, some conservation actions e.

In addition, although many previous studies of the dilution effect used relatively simple measures of diversity e. Theory [ 2 , 21 , 39 , 40 ] suggests that determining causal relationships between naturally occurring patterns of host diversity on pathogen transmission requires three types of data:.

Establishing a causal link between diversity and transmission requires integrating these three datasets into a mechanistic multi-host mathematical model of pathogen transmission.

Models can be used to quantify the magnitude and direction of the effect of natural variation in species diversity on transmission, independent of habitat change effects, or other factors that change across the natural gradient. A combination of experimental approaches, which reduce issues with confounded variables, and observational studies, which have less experimentally introduced artefacts, larger spatial scale, sometimes larger sample sizes and less restricted scopes of inference is often most effective.

Theory shows that diversity can reduce transmission through some mechanisms while increasing it through others [ 2 , 21 , 39 , 40 ], and both theory and the empirical results collected thus far indicate that some species play a much larger role than others [ 18 , 30 , 41 ].

An integrative approach is needed to determine the net effects of diversity, and the role of each species in transmission. Many of these data gaps are due, in part, to the greater difficulty of quantifying species interactions among hosts or hosts and vectors , especially in comparison to measuring correlations between estimates of species richness or diversity with disease risk.

However, additional research to fill these gaps is needed, because correlations between disease risk and diversity can be misleading in both directions; they can provide spurious positive evidence of causal relationships in either direction , and they can hide causal relationships between host diversity and transmission. This is because many factors other than host species diversity influence transmission e. Similarly, covariance between host diversity and other factors can also create spurious significant correlations.

The likelihood that there will be confounding factors in observational field studies is very high, because the same disturbance or habitat gradient that creates gradients in host species diversity also alters many other aspects of transmission. For example, for vector-borne disease such as Lyme disease or West Nile encephalitis, increasing forest fragmentation can simultaneously increase vector abundance [ 42 , 43 ] and decrease host diversity, and the former may be confused with the latter as the cause of increased disease risk.

Habitat differences can also create spurious correlations for directly transmitted pathogens. For example, observational field studies of hantaviruses have found correlations between host diversity and disease risk, measured as the density of infected small mammal hosts, and have hypothesized that these patterns result from increased competition [ 31 ] or predation [ 32 ], or reduced contact rates due to behavioural interference [ 30 ] as biodiversity increases.

However, differences in habitat rather than host diversity among sites in these studies could also result in differences in host abundance and behaviour. The issue of confounding variables is especially important when disease risk or incidence data come from much larger spatial scales than the scale of transmission. Variability in transmission for most zoonotic pathogens exists at the scale of tens of metres or hectares [ 44 , 45 ].

By contrast, many studies that use human incidence data often analyse variation among counties [ 33 , 34 ], because this is the spatial unit for which these data are often publicly available. In addition, analyses at smaller spatial scales are challenging for low-incidence pathogens like WNV, Lyme disease and hantaviruses, because the majority of smaller spatial units have zero cases. Aggregation of human incidence and diversity data over large spatial scales introduces many additional confounding variables and noise including variation in human behaviour influencing exposure to the pathogen, climate and habitat differences [ 10 , 46 , 47 ].

For example, correlations between US statewide Lyme disease incidence and host species diversity data [ 17 ] are difficult to interpret because of confounding variables associated with large-scale variation in climate and tick questing behaviour.

Latitudinal gradients in climate alter the phenology of nymphal and larval-stage ticks, which can decrease infection of larval ticks in more southern states where host diversity was also higher , and latitudinal differences in questing behaviour have been shown to reduce human—tick encounters in more southern states [ 48 ].

Local-scale studies and more mechanistic data help avoid many of these confounding variables. This is illustrated by a recent study that collected both mechanistic and disease-risk data on a directly transmitted fungal pathogen in Daphnia and showed that an apparent disease risk—diversity correlation was in fact spurious, and stemmed from differences in habitat structure [ 49 ]. If habitat structure, rather than host diversity, is the causal variable influencing pathogen transmission, then interventions that focus on habitat structure will be more effective than those that alter host diversity without changing the important aspects of habitat structure.

The data gaps simply indicate that causal inference is not warranted. If correlations are spurious and interventions increase host diversity but not the actual causal factor, the intervention will fail to reduce disease risk.

Similarly, there may be missed opportunities in the systems where non-significant correlations have been found if dilution effects are being masked by other factors.

Conservation of biodiversity as a strategy for improving human health and well-being

When habitats are so degraded that few host species remain such as in highly urbanized cities , the likelihood that some pathogens will persist is often low. For example, the risk of Lyme disease in downtown New York City is near zero because there are no deer, little leaf litter and therefore few ticks. To reduce disease risk by conserving or restoring biodiversity, it is obviously important to determine on which side of the peak a given location falls before attempting an intervention.

Most individual studies of the dilution effect examine only a single pathogen [ 10 , 16 ], making it impossible to predict the total or net patterns of disease risk and diversity. This is a major shortcoming in our understanding of biodiversity—disease processes, and raises an important question: Answering this question would require measuring the impact of diversity on disease risk for all the important zoonotic pathogens in the study area, and converting them to a common currency e.

There is strong evidence that pathogen richness increases with host species richness [ 52 ], and the vast majority of hosts are infected with many different pathogens [ 53 ].

However, interactions between pathogens can be negative, positive or undetectable [ 54 — 56 ], and both pathogen and host dynamics occur within a tangled bank of species interactions [ 57 ].

A rigorous study of the net impact of host diversity on total disease burden has never been done for any habitat or location. It is obviously a daunting task, but is required to assess the net impact of interventions focused on conserving biodiversity. Broad-scale patterns suggest that the number or burden of infectious diseases is higher in tropical than in temperate regions, and decreases with wealth, but shows mixed patterns with biodiversity [ 58 — 60 ].

However, the spatial scale of these studies countries is too large to determine whether these correlations are causal. Further, most conservation interventions are likely to take place within countries, at much smaller scales, making these patterns of limited value for guiding public health interventions.

An important step in determining the impact of biodiversity conservation is to determine how an intervention might affect human behaviour and contact with wildlife or vectors. For example, while the density of infected ticks carrying the Lyme disease bacteria, Borrelia burgdorferi , is higher in forested areas than on grass or forest edges [ 45 ], human incidence often increases with edge habitat [ 62 ], probably due to higher human use of forest edges than intact forest.

Similarly, some studies have found opposing trends; forest fragmentation was correlated with increased disease risk the density of nymphal ticks and prevalence of the Lyme disease bacteria but decreased human incidence [ 63 ].

If a biodiversity conservation intervention entailed creating a large forested park in a residential area, it would be important to ensure that use of the park did not increase exposure to vectors or infected wildlife so much that other benefits of the park were outweighed by increased exposure to ticks or infected wildlife and resultant disease burden.

Our understanding of the overall impact of biodiversity conservation interventions could be greatly improved by studying changes in multiple infectious diseases as large-scale development projects are implemented, as has been done with dams and several water-borne diseases [ 64 , 65 ].

These projects represent landscape-scale experiments that can provide unparalleled insight into the impact of conservation interventions. In addition, developing knowledge of net impacts on public health in collaboration with development organizations will maximize the impact of disease ecology research on policy decisions [ 66 ]. Biodiversity conservation interventions may reduce or increase the total burden of infectious diseases, and they also have other impacts on human health and well-being [ 12 , 64 ].

Well-being includes physical, mental and social aspects and is not merely the absence of disease or infirmity [ 67 ]. Increasing biodiversity through habitat conservation or restoration may have positive effects on several aspects of well-being, including both physical and mental health benefits associated with spending time in nature [ 68 , 69 ] e.

However, while conservation of land or species may provide some increased ecosystem services [ 5 ], it may also reduce the food or resources that are obtained from agriculture or hunting [ 71 , 72 ]. A full assessment of the impact of biodiversity conservation interventions must include both effects on infectious diseases and effects on other aspects that contribute to human well-being, such as nutrition, non-infectious diseases and economic wealth, and weighing them in a common currency [ 12 , 71 , 73 ].

For example, disease risk may increase with forest clearing for agriculture [ 46 , 72 ], but this may be outweighed by benefits of the food grown on that land [ 74 ]. More inclusive assessments could use more inclusive indices of human well-being such as those used in the United Nations' Human Development Index [ 75 ] and the World Happiness Report [ 76 ], but these efforts have just begun.

If biodiversity conservation can be shown to be causally effective in reducing disease burden in a region and to have a net positive impact on human well-being, then the next question is whether such conservation actions are feasible and cost-effective at the appropriate scale.

A recent review suggested that anthropogenic land use often correlates with increased disease incidence, transmission or risk for individual diseases [ 14 ]. One might therefore hypothesize that protecting land from anthropogenic disturbance might reduce overall disease risk.

A recent study examined how three types of diseases correlated with the size of two types of protected natural areas strictly protected areas and sustainable-use protected areas and other land-use activities roads and mining , in municipalities in the Brazilian site, while controlling for socioeconomic and climatic variables [ 46 ].

Significant negative correlations existed between strictly protected area size and malaria incidence, acute respiratory infection and diarrhoeal disease in Brazilian municipalities, supporting this biodiversity conservation intervention as a strategy to benefit public health. However, malaria incidence increased with the size of sustainable-use protected areas and this effect was twice as large as the reduction in malaria incidence with strictly protected areas.

This pattern of increasing malaria incidence with the size of sustainable-use protected areas is consistent with another recent study that found increased malaria incidence with forest cover around cities in Brazil [ 77 ]. The contradictory correlations with different types of protected areas point to a key challenge in developing biodiversity conservation interventions as public health strategies—our understanding of the mechanisms driving disease incidence patterns is still too poor to predict the outcome of broad-scale land-use interventions on even the most well-studied diseases like malaria [ 46 , 78 ].

This is supported by many studies of multi-host pathogens that show that one or two species appear to play the dominant role in transmission [ 18 , 41 , 79 , 80 ]. Interventions targeting these focal species might be more effective and more feasible in mitigating disease than conserving biodiversity generally or protecting land, and they might also have fewer detrimental secondary effects. Designing effective targeted interventions requires identifying the key hosts in transmission and developing interventions that target those hosts.

This requires a deep understanding of both disease and population ecology, which is a substantial challenge. For example, for Lyme disease, white-footed mice, Peromyscus leucopus , were initially thought to be the dominant host for infecting larval ticks with the Lyme bacteria Borrelia burdorferi , and were targeted with a vaccine in an experimental study [ 81 ]. Subsequent work provided a possible explanation for the smaller than expected impact; other small-mammal hosts, including chipmunks and shrews, infect at least as many ticks as mice, especially in years without oak masting, when mice are less abundant [ 18 , 82 , 83 ].

In addition, reservoir hosts for Lyme disease vary substantially across different habitats and continents [ 44 ]. This variability suggests that interventions, such as restoring key predators [ 84 ], that reduce the abundance of multiple reservoir hosts might be more effective than simply targeting mice. Species reintroductions to reduce pathogen transmission are intriguing, because they potentially offer self-sustaining impacts.

For example, a recently suggested intervention to suppress Lyme disease incidence was the reintroduction of wolves to reduce coyote predation on foxes, with the aim to increase predation on small-mammal host populations [ 84 ]. This intervention is based on recent work in the Midwestern USA that showed that higher wolf abundance was correlated with lower coyote density which in turn was correlated with higher fox abundance [ 85 ].

Reintroducing wolves was hypothesized to increase predation on small mammals, because foxes can occur at higher densities than coyotes and have a more carnivorous diet focused on small mammals [ 84 ]. The introduction of wolves might also reduce the density of deer, the most important host for adult ticks [ 86 ], although it is unclear whether densities would be depressed enough to impact tick population dynamics [ 44 ].

This work is so far purely correlational and rests on untested assumptions i. Clearly, further study is needed to understand whether the correlational relationships among predator densities are causal and to explore the mechanistic interactions among predators and prey species to determine the potential efficacy of this approach. In addition, the general public sometimes opposes reintroducing large predators, so this type of intervention might be challenging politically as well as logistically.

Nonetheless, we discuss this example because it illustrates a potential targeted biodiversity conservation intervention suggested by three decades of research on Lyme disease [ 44 , 87 ], and, as noted above, targeted approaches may be more effective, cheaper, and may have fewer incidental impacts on other aspects of human well-being.

The final question for developing biodiversity conservation interventions is to determine whether targeted or broad-scale interventions can be cost-effective compared to other more traditional public health interventions.

Most current public health spending is devoted to the development and distribution of vaccines and drugs for treatment, promoting personal protective measures including avoiding contact with vectors or human—wildlife contact , sanitation, development e.

Some of these methods are relatively cheap, including hand washing, using insecticide-treated bed-nets for mosquito-borne disease, or checking oneself for ticks. Others require perpetual action and often come with substantial costs, including vaccination, drug treatment and vector control. The most rigorous approach to assessing the impact of public health control interventions is analyses that explicitly compare the cost of intervention to a monetary value of disease averted, across a range of transmission intensities.

These analyses have guided the roll-out of vaccines, bed-nets and HIV treatment [ 88 — 90 ], and have been done for some ecosystem services [ 91 ]. Similar cost—benefit analyses are needed for biodiversity conservation interventions once they can be shown to be efficacious [ 12 ]. Previous research provides initial estimates of some of the costs of biodiversity conservation interventions, but much more work is needed for estimating both costs and benefits.

For example, setting aside land for protected areas, altering urban planning and large-scale restoration to reduce forest fragmentation all carry both initial costs as well as recurring management costs that vary with the local setting [ 62 , 92 ]. Recurring costs for maintaining protected areas measured per square kilometre per year decrease approximately four orders of magnitude as the size of protected areas increase from 1 to 10 km 2 [ 92 ]. Costs for reintroductions of extirpated species can also be substantial; initial costs for wolf-re-introduction to Yellowstone National Park included several hundred thousand dollars for translocation and release, in addition to substantial resources to address lawsuits by parties opposed to the reintroduction.

Some smaller-scale biodiversity conservation interventions can be cheaper, including removal of invasive vegetation that provides attractive habitat for overly abundant deer [ 93 ], or installing owl or bat boxes to increase predation on small mammals and mosquitoes, respectively.

However, the effectiveness of these inexpensive measures on large spatial and temporal scales is unknown. Once the efficacy of biodiversity conservation interventions can be determined, the next step is to combine the cost of the intervention with the benefits of the disease burden alleviated.

This is often done for different monetary valuations of disease burden. The final step is to compare the cost—benefit calculations for biodiversity conservation interventions with other approaches to determine which might be most efficacious.

Some biodiversity conservation interventions e. This advantage would increase their net benefit in long-term assessments. Humans are continually altering Earth's ecosystems.

The high and increasing living standards in developed and rapidly developing countries, respectively, result in the conversion of additional land to agriculture and urban area, increased energy use, climate change and biotic homogenization. These changes present new challenges as novel pathogens spill over from wildlife when human activities encroach into natural areas, pathogens are introduced to new regions, novel host species are introduced to new continents or islands, populations of animals increase or decrease as land-use changes, and climates shift to become warmer, and wetter or drier.

These challenging threats to public health may demand novel interventions and strategies. We summarized research needed to develop biodiversity conservation interventions into public health tools. Substantial increases in knowledge are required before the impacts and cost-effectiveness of these interventions on human well-being can be accurately determined, and we have outlined methodologies to advance this approach.

If diverse communities can be shown to provide net benefits to human well-being, this could provide powerful motivation for preserving Earth's remaining biodiversity.

All authors developed the conceptual framework. All authors provided feedback. National Center for Biotechnology Information , U. Published online Apr Marm Kilpatrick , 1 Daniel J.

Plant Biodiversity in China: Richly Varied, Endangered, and in Need of Conservation

Salkeld , 2 Georgia Titcomb , 3 and Micah B. Hahn 4. Marm Kilpatrick.

Daniel J. Micah B. Author information Article notes Copyright and License information Disclaimer.

Accepted Jan This article has been cited by other articles in PMC. Abstract The Earth's ecosystems have been altered by anthropogenic processes, including land use, harvesting populations, species introductions and climate change. Introduction The need to feed, clothe and house humanity has altered most of the Earth's ecosystems [ 1 ]. Open in a separate window. Figure 1.


Disentangling the causal effects of biodiversity on disease from other effects of anthropogenic change Urbanization and agricultural expansion have greatly changed biological communities [ 3 ], reducing vertebrate species diversity in many habitats [ 4 , 13 ].

Determining the net impact of increased biodiversity on total disease burden: Balancing biodiversity conservation interventions with benefits of diversity-degrading anthropogenic processes in contributing to human well-being Biodiversity conservation interventions may reduce or increase the total burden of infectious diseases, and they also have other impacts on human health and well-being [ 12 , 64 ]. Targeted approaches and cost-effectiveness of biodiversity conservation interventions and other strategies If biodiversity conservation can be shown to be causally effective in reducing disease burden in a region and to have a net positive impact on human well-being, then the next question is whether such conservation actions are feasible and cost-effective at the appropriate scale.

Conclusion Humans are continually altering Earth's ecosystems. Authors' contributions All authors developed the conceptual framework. Competing interests We have no competing interests. References 1. Foley JA, et al. Global consequences of land use.

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Dobson A. China National Report. Cost-benefit analysis in the context of ecosystem services for human well-being: Floristic statistic analysis of seed plant in China. Monoculture was a contributing factor to several agricultural disasters, including the European wine industry collapse in the late 19th century and the US southern corn leaf blight epidemic of This is because biodiversity provides the fundamental building blocks for the many goods and services a healthy environment provides.

Well-being includes physical, mental and social aspects and is not merely the absence of disease or infirmity [ 67 ].