Biodiversity

This page is to explain the concept of biodiversity in a manner that is clear to the public. It is a term widely used, but relatively poorly understood and certainly not sufficiently appreciated. The concepts of biodiversity and biogeography are related, but not interchangeable. Biogeography is the study of where life forms live on Earth and why. It is a science much like ecology, zoology, botany, geology or any other of the ‘ologies. Biogeographical research can be used to explain the biodiversity patterns on Earth.

Defining biodiversity

Biodiversity is short for biological diversity. The term doesn’t mean much without some reference to an area or type of biota (short term for any life form – plant, animal, fungi etc.) one is referring to. For example, one can refer to the “biodiversity” of the hillside next to my house, or to the “biodiversity” of the planet Earth. They obviously include different types and numbers of biota. So “biodiversity” needs to refer to some geographical area to have much meaning. For much of the public the region is usually the entire Earth. But one can refer to the biodiversity of Norman, to the state Oklahoma, to the United States or to North America. They all are different in the total number of species of plants animals, fungi etc. that they contain.

Although the term biodiversity most commonly refers to the total diversity of biota found in a region, it can also refer to subgroups of biota. For example, the biodiversity of trees, or the biodiversity of snakes, of California. It can even be used to refer to smaller biotic groups like the biodiversity of hawks in North America. The characteristics of organisms can also be used to categorize “biodiversity”. One can count the number of species in a region that possess some particular feature – like plants that use other plants for support. Thus, we can discuss the biodiversity of epiphytes of Ecuador. Or of bats that eat fruit in Australia – the biodiversity of frugivorous bats of Australia. Or birds that eat primarily insects in Oklahoma – the insectivorous birds of Oklahoma.

In summary, the use of the term “biodiversity” can refer to either a region or a group of organisms. If nothing specific is mentioned, the term biodiversity usually refers to all biota over the entire Earth. This is the most common usage among the public.

Unfortunately, the use of the phrase “save biodiversity” is somewhat like the phrase “protect the environment”. It oversimplifies many issues associated with the “biodiversity crisis”.

How does one measure biodiversity?

Biodiversity is scale-dependent, that is the amount of life forms that one can count depends on the region you are considering. For example, a particular county in any US state will be less biodiverse than that state.

Some countries are more biodiverse than others – even if they are small. For example, Costa Rica is an ornithologically biodiverse country with about 920 species of birds recorded. It is about 200 times smaller than Canada which has about 425 species recorded. Biodiversity isn’t necessarily related to the area of a country, but rather the diversity of habitats.

This figure shows conceptually the difference between two areas of equal size – the one on the left has many different parcels with unique environmental conditions, each with some unique plant or animal species. The same-sized area on the right has only three different environments. Although these are larger, the lack of diversity in environments prevents the entire area from having more biodiversity (i.e. total species) than the area on the left. Some species requiring large areas may have evolved or may exist in the larger parcels on the right, but the overall species diversity is usually much less in such areas. A US example might be California (left) and a comparable area of the US Great Plains (right).

Even within biodiverse countries, the diversity varies strongly with location. It is the number of different habitats that usually determines the biodiversity of a country. A very biodiverse country does not mean that every hillside or valley is rich in species. A dry, rocky outcrop or a coastal salt flat will have less biodiversity compared with a moist evergreen forest location. It may be that the country has a great many such micro-habitats, each not particularly rich in species, but the cumulative effect is a country with high total biodiversity. This is well-known to birders – advertising by some ecotourism operators often implies that all species in their tour’s destination are just waiting to be seen after stepping off the plane! The birders may have seen more species on a particular hillside in their home country that they will see at any location in a “biodiverse” country. It is just that the diversity of environments in countries like Costa Rica, ranging from high/cold mountains to tropical lowlands, is greater than most mid-latitude countries without such a range of climatic conditions.

Hotspots

A widely-used concept in conservation biology is that of “hotspots“. This term can be defined precisely, like that by the Critical Ecosystem Partnership Fund (CREF) that defines a hotspot as having more than 1500 endemic vascular plant species and 70% of the original land cover already has been lost. Endemic species are those found in a limited region and nowhere else. As with biodiversity, the concept of endemism is relative. All biota are endemic to the planet Earth. A great many species are endemic to North America. A much smaller number are endemic to the state of Florida, and probably no species is endemic to the smallest county in Florida.

In a nutshell, hotspots are regions that are relatively rich in endemic species and threatened by human activities.

Hotspot can be a useful term, or one that is overly broad. For example, the “Andean hotspot” includes environments ranging from glaciers to tropical lowland forests with dry valleys between the two. This variety of environments naturally has led to a great many species being found in the “hotspot”. In this case a finer subdivision of the environments is justified.

The figure (and text describing it) below have been copied verbatim from Wikipedia.

The twenty-five biodiversity hotspots (green) as indicated in Myers, N., et al. (2000) “Biodiversity hotspots for conservation priorities.” Nature 403:853–858. doi:10.1038/35002501 1. The Tropical Andes 2. Mesoamerica 3. The Caribbean Islands 4. The Atlantic Forest 5. Tumbes-Chocó-Magdalena 6. The Cerrado 7. Chilean Winter Rainfall-Valdivian Forests 8. The California Floristic Province 9. Madagascar and the Indian Ocean Islands 10. The Coastal Forests of Eastern Africa 11. The Guinean Forests of West Africa 12. The Cape Floristic Region 13. The Succulent Karoo 14. The Mediterranean Basin 15. The Caucasus 16. Sundaland 17. Wallacea 18. The Philippines 19. Indo-Burma 20. The Mountains of Southwest China 21. Western Ghats and Sri Lanka 22. Southwest Australia 23. New Caledonia 24. New Zealand 25. Polynesia and Micronesia An additional ten hotspots (blue) have since been added [1][2]: 26. The Madrean Pine-Oak Woodlands 27. Maputaland-Pondoland-Albany 28. The Eastern Afromontane 29. The Horn of Africa 30. The Irano-Anatolian 31. The Mountains of Central Asia 32. Eastern Himalaya 33. Japan 34. East Melanesian Islands 35. The Forests of East Australia See also Lamoreux, J. F., et al. (2006) “Global tests of biodiversity concordance and the importance of endemism.” Nature 440:212–214 doi:10.1038/nature04291 Pimm, S. L., et al. (2014) “The biodiversity of species and their rates of extinction, distribution, and protection” Science 344:–6187 doi:10.1126/science.1246752

When looking at a global map of hotspots it is easy to think that the entire earth is covered by “hotspots”. It may be useful to consider the areas that aren’t hotspots. Most of the Sahara Desert is not biodiverse and has relatively few plant species. Most of Canada and Russia lack large numbers of species of plants and most are not threatened. Northern Europe and most of the US does not have large numbers of endemic species, or the natural habitat has not been greatly reduced – though there are many local exceptions to this. Most of interior Australia is not a hotspot, lacking both high endemism and major threats. Surprising is the observation that much of the Amazon basin forests are not a hotspot. This is because the lack of topography allows many species to have large geographical ranges and most of the forest has not yet been lost to agriculture or ranching activities.

Cloudy pixels percentage (cloudy = pixel brightness greater than 190 (0-255 grayscale) for Ecuadorean region based on imagery from Jan-Mar 2019 from GOES 10-min imagery. Although only three months of images (~70 per day) have been used, this mean is qualitatively close to multi-year means using other imagery. The main point is that the areas that are very cloudy are associated with topography and the much flatter Amazon Basin to the east of the Andes lacks strong cloudiness variations. Climate varies strongly in mountainous areas and much less so in flat areas.

In summary, hotspots tend to be closely associated with major topographic features that restrict many species to small geographical ranges. Such mountainous areas favor a larger variety of climatic conditions in a smaller area that favors the evolution of species endemic to such localized conditions.

What determines biodiversity?

Climate, relief and geodiversity are main factors

The single most important factor in determining biodiversity is climate. Period. Without precipitation there would be almost no biodiversity and an example of this is the drier parts of the Atacama where essentially zero rain falls and where almost no vegetation occurs. There is also very little surface biodiversity in the high Arctic and Antarctica away from the coast. Surface temperature in these regions controls what life forms can live on the surface.

Geological substrate

The type of underlying rock – coupled with the climatic conditions – greatly affects what type of vegetation will develop on a landscape. For example, granite weather differently from limestone and different from shale or sandstone. The parent rock (the unmodified rock beneath the surface of the Earth) determines, together with the climate, what kind of soil will develop. Thus, in regions with high geodiversity (many rock types) there is likely to be a greater variety of plants (and thus animals) specialized to take advantage of the various soil conditions. Volcanic islands like the Hawaiian Islands or the Canary Islands have a minimum of geodiversity (mostly basaltic composition volcanic rock) while continental margins like California or the Alps have many rock types, including different sedimentary, metamorphic, and plutonic rocks. These regions have a greater variety of plants specialized to survive in the soils that develop on such parent rocks. The biodiversity in these regions is generally greater than similar climatic regions with less geodiversity.

Geological and biological history

The biodiversity of a region depends on the history of the region. Have new species recently (in geological time) migrated into the area and are these eliminating older species that inhabited the area? Was there a recent extinction event due to some natural disaster like a volcanic eruption, asteroid impact, or the drying up of a large water body? Did early man kill off some of the large land mammals? How did climatic changes associated with the last ice age affect the current biodiversity of a region?

The important history can go back a long time. Madagascar has many unique biota because it separated from Africa something like 135 million years ago and its flora and fauna has been evolving mostly independently since then. Plate tectonic knowledge is needed to explain many geographical patterns over the past 100 million or more years. Of course, geological knowledge, in particular the distributions of continental fragments, is quite limited for the really distant past – most of the Earth’s four billion year history.

Inter-species interactions

Implicit in the above discussion was that new species moving into a region in the distant past could have had a profound impact on the current biodiversity of the region. Natural events, like the sea level reduction by about 100m during the last ice age, created land bridges between Siberia and Alaska, southeast Asia and much of western Indonesia, and between New Guinea and Australia. This greatly increased the exchange of land-based animals and many plants between these regions. Some species likely suffered, unable to compete successfully with the newcomers. The same happened about 3 million years ago when North and South America merged near Panama after a long separation, resulting in the elimination of many mammals that were previously restricted to South America.

Although natural processes associated with glacial cycles and plate tectonic movements have had a very long impact on the Earth’s spatial distribution of biodiversity, human influences have dominated the past ten thousand years. For example, when humans entered North America from Asia more than 12,000 years ago, they brought knowledge of hunting. These skills likely were associated with the extinction of many of the larger land mammals present in North America at the time. In Australia, the early Aborigines brought from New Guinea knowledge of fire and hunting, as well as a likely companion – the dog (Dingo). Together, these had a major impact on the flora and fauna of Australia. And in very recent years modern mankind has hunted to extinction many species across the world, most notably the Passenger Pigeon in North America, a bird that once numbered in the millions. Many species have had their numbers reduced to very small fractions of their former abundance, either through hunting or modification of their most suitable habitat. Only in the last 50 years or so have we entered an era of “environmental enlightenment” where widespread attempts are being made to minimize the ongoing onslaught to global biodiversity. Unfortunately, if this awareness was truly widespread it would not be necessary to prepare the material being discussed here.

How do we map biodiversity?

In principle we can map the biodiversity by overlapping all maps of individual species occurrence over each other and counting the number of species within our chosen area. But how do we develop these species distribution maps? There are many techniques, but all depend on observations. And these observations are often fraught with errors. In addition, a great many species on Earth, likely the vast majority, are simply not routinely observed.

Most observations of nature, and usually the most reliable, have been made by scientists or explorers who collected specimens for museums over the past few hundred years. Plant specimens reside in herbaria in a very large number of educational and research institutions worldwide, as do specimens of birds, insects, and all other life forms. In recent years these collections have been coordinated and digitized to a fair degree so that specimens can be searched via the internet. Such voucher specimens are the basis of most classification schemes for plants and animals (the subject of taxonomy).

Although collections made by specialists who know what to collect and how to document them are the most reliable sources of “observations”, they are expensive to make and there are not enough specialists to make the observations/collections everywhere they are needed. Researchers don’t spend most of their time in the field collecting because lab and office work is also required. It is costly to carry out expeditions to remote areas. Air fares, helpers in the field, special equipment etc. For this reason, among others, researchers have an interest in citizen science naturalists who can help to make field observations to support their research studies. Additional observers can, in principle, help with many biogeographical studies by making supplementary observations – especially related to where organisms are found.

Observations can have many types of errors, though some are becoming less common as technology advances. Old observations (prior to GPS) often had erroneous positions that could be quite large. Really old observations are practically useless for mapping a species’ range with positions like “Texas, west of the Pecos” or “in New Spain”. New observations, made with cell phones that have GPS, can be accurate to within a few meters. This high accuracy can be disadvantageous for rare species that are fixed in place like plants. If the position is made public unscrupulous plant collectors may travel to the site to collect them.

Precise observations of birds can lead to observational biases that favor the increased observation of rare birds. Most eBird participants know that when a rare bird is sighted near them, an alert is posted. This encourages other birders to try to see the bird. The result is a clustering of observations about the same bird – or group of birds – at a particular location. This draws potential observers away from sampling other places where the birds might have been. Of course, this only works when the bird or birds are relatively stationary for many days, such as those that come to a particular lake, mud flat or feeder.

Common biases in citizen science data

People observe mostly near where they live

Due to the cost of transportation in fuel and time most people make citizen science observations close to where they live. This means that such observations are nearly coincident with centers of population. One can see this with any iNaturalist or eBird plot…

The distribution of Mourning Doves in part of the northeastern US from iNaturalist observations. This clearly shows that these doves are mostly observed where people live. (Major cities are areas where the highways converge.). Click on image for larger view.
An iNaturalist “anomaly”. These are all of the iNaturalist observations for rattlesnakes (genus Crotalus). The area is southeastern Arizona; the dense cluster in the upper left is the Tucson area. But the dense “cloud” of observations in the eastern part of the map with dense observations radiating out along roads in the area? There are no nearby towns. This is almost certainly associated with the Southwestern Field Station of the American Museum of Natural History – based in Portal, Arizona and with courses offered every summer. Night driving of the roads for wildlife is likely associated with the students/staff of the station. Click on the map for a larger view.
Another “anomaly” map of iNaturalist observations of the Ruby-throated Hummingbird in northern Oklahoma. The two towns – Enid and Stillwater each have close to 50 thousand people but Stillwater is a college town (Oklahoma State University-OSU). Does this explain the greater observations around Stillwater? The towns are separated by about 50 miles (80km).

Parks and reserves draw the most visitors and thus observations

A fundamental sampling issue with eBird, iNaturalist or other nature-observation activities is that these observations are usually made by people who travel to see nature. Such individuals don’t want to spend their time and money traveling to locations not known for interesting aspects of the natural world. Birders don’t usually choose to visit “non-birdy” areas. They prefer parks and reserves know for the variety of birds and the ease of seeing them. Nature reserves, parks and wildlife refuges usually have some basic facilities like trails, boardwalks or possibly visitor centers. Camping or hotel facilities are often nearby, especially near State or National Parks. Having trails or roads that access nature is important.

Access is crucial for making observations

Most land in the eastern US is privately-owned and so remains unavailable for most people to explore. Many parts of Texas and other states have large ranches that are off-limits for citizen scientists. Even if it is land managed by a government entity, relatively few of us are willing to hike five miles to see a plant or animal that can be seen more easily elsewhere. Such is often the case in Bureau of Land Management or National Forest lands in the western US.

In many countries there are large areas set aside for nature reserves or parks, but these often lack road access. Expeditions must be mounted to visit such areas. And often the protection is on paper only – they are protected more by their remoteness. Without real enforcement of park boundaries, land squatters invade along the peripheries of such parks. In such countries establishing road access to pristine areas without adequate protection usually leads to deforestation and expansion of agricultural and ranching activities. Such roads often don’t allow easy access to the pristine areas as the agriculture advances as rapidly as the roads. One can drive endlessly on such roads, looking for pristine habitat. This biases what a citizen scientist might see – towards species that are colonizers of disturbed habitats or species that can be seen from large “gaps”.

iNaturalist observations of the Toucan family (Rhamphastidae), showing that large areas of the Amazon Basin lack observations. For American viewers an outline of the state of Texas is shown for scale.

Although perhaps not obvious from the map above, rivers, being the main transportation route in many parts of the Amazon Basin, show a marked concentration of citizen scientist observations. A closer view below shows the Iquitos, Peru area and all eBird observations of a Fork-tailed Flycatcher (Tyrannus savana).

Observations of Fork-tailed Flycatchers around Iquitos, Peru (in approximate center of map, name obscured by observations). Most observations are made along the river – presumably from tourists on river boat cruises. Click on map for larger image.

Seasonality affects observations

Citizen science observations can be strongly influenced by seasonality. Observations in polar regions during winter are few because of the lack of daylight and the cold temperatures. Similarly, relatively few people travel to desert regions in the hottest months of the year. In the tropics, many people avoid wet season travel because of the rain, higher humidity, and abundance of insects.

All Alaska iNaturalist observations for Jan-Mar 2019 (left) and June-August 2019 (right). Move the slider to see the seasonal change. There is usually very large seasonality in iNaturalist observations in higher latitudes.
European iNaturalist observations (all) for Jan-Mar 2019 (left) and Jun-Aug 2019 (right). Use slider to see the seasonality. Also note the relative lack of observations in eastern Europe.
The Audubon sanctuary at Corkscrew Swamp in southwest Florida has a marked seasonality in observations. Most tourists come in winter and few venture to the swamp during summer with its abundant mosquitos, high heat and humidity, and higher water levels. Use the slider to see the difference in all iNaturalist bird observations between March (left) and August (right). There are 413 observations by 64 observers in March and only 15 observations by 7 observers in August. Note that there are many more eBird than iNaturalist observations for this location.

Most citizen science participants come from developed countries

Use of eBird or iNaturalist requires access to a smart phone or a personal computer. Though these are widely available in many urban parts of the world today, they are still less frequent in much of Africa and rural parts of developing countries than they are in the US or Europe. There may also be a language barrier, though iNaturalist has many regional nodes and translation is often available on personal computers.

Even if a person in a developing country participates in iNaturalist they may have difficulty traveling far from their home. The least expensive travel in much of the world is via bus, but this usually involves travel between population centers. Access to nature is much more difficult without personal vehicles. Rental vehicles or taxis can be expensive to most people. And a reality is that people in developing countries with the financial means to travel are often not the members of society with the strongest interest in nature.

Population and eBird checklist observations for select countries. The last columns are the calculated “people per eBird checklist” and the people per iNaturalist observation for the country. A column between these two is the average iNaturalist observation per observer. This value doesn’t vary nearly as much as the other quantities- the average is 40 people per observation. Countries with relatively good participation rates in eBird are in Yellow and those relatively poor are in red. Such a simple statistic, along with the country’s area and bird diversity, could point to countries where initial emphasis might be placed.

In some countries iNaturalist or eBird observations may be dominated by foreign tourists; such countries may show a strong seasonality for certain species when if fact there may be little. The frequency of observations may depend more on the vacation periods for the foreign tourists than the optimal time for observing nature in the destination country.

Some types of nature observations require specialized tools to be most effective

Although most common birds can be readily identified by “birders” a few tools are essential to accurately identify many birds. A field guide, whether a book or an app on one’s smart phone, is a basic requirement for most birders. Hard-copy field guides are often unavailable in many developing countries because there is no widespread demand for them. And very few birders travel without binoculars. These are also not common among the residents of many countries.

A serious problem for birders with only a smart phone is that the photographic capability of these is quite limited. While they can be excellent for close-up photography and for landscapes, most don’t have sufficient telephoto capability for birds. Thus, unusual bird observations (especially range extensions or out-of-season observations) that would benefit from good photographs cannot be supported by smart phones. Although birders frequently travel with better cameras with telephoto lenses these tend to be expensive. In developing countries these are less frequent among locals and an observer with them may stand out.

Birders are perhaps the most common type of iNaturalist contributor that can benefit from specialized equipment. However, consider the situation with underwater observations. What is required to make iNaturalist observations underwater? An underwater-capable camera, the ability to swim well, and a face mask and snorkel are near-minimum requirements. For anything deeper than about 5-10 meters scuba gear is likely needed – along with its attendant expense and proficiency requirements. And to get to any location other than routine tourist diving locations you will need a boat. A small boat will get you a few miles from shore in calm weather but to get far away you will want a big (i.e., expensive) boat. In a nutshell, underwater citizen science observations are relatively rare.

Ways to improve citizen science sampling for spatial mapping of biodiversity

The current iNaturalist and eBird bias towards urban areas and nature preserves is good for describing temporal variations in the presence or absence of species at specific locations. For example, daily observations at backyard feeders, carried out in many yards across a large city, allows one to identify relationships between daily weather fluctuations and bird abundance or to see inter-annual variations in migration timing. If carried out over many years subtle changes in migration patterns or bird abundances can be detected. The key is sampling frequently and over a large array of sites so that individual site biases can be accounted for.

Let’s consider some practical possibilities to improve the spatial mapping of biota. Where are iNaturalist or eBird observations needed? While every country has data voids, some are more important than others. A multi-pronged strategy to fill such voids might start with educational outreach to locals within the area/country. To start, this might require a website that shows the current observations, outlines key areas that are missing observations, and then suggests a strategy to increase observations there. Identify groups of people willing to jointly survey the area (safety in numbers and some specialists to help). Suggest positive reinforcements for helpers – inexpensive, but visible, rewards for helping. Identify areas where a short, intensive campaign by locals could make an initial survey. Ideally with a one-day effort. This is impractical for remote locations and most islands but might be feasible for mountainous areas near population centers.

A major issue with citizen science observations is that less conspicuous biota are not as readily observed as more obvious ones. The most commonly observed lichen species in Oklahoma (Common Green Shield) has 89 observations, whereas the Northern Cardinal has 1207 observations. The westernmost county in Oklahoma, Cimarron County, has 40 observations of “common lichens”. Most of these observations were made on one day – by one observer! Fewer people have a knowledge of lichens and are not trained to see their diversity as readily as recognizing different bird species. Many, if not most biota have few citizen science observations precisely because many people don’t have an interest in making observations of them, don’t appreciate the diversity of the group, or are unaware of the need for such observations.

How to stimulate interest in citizen science observations?

To stimulate interest at the national level it will be useful to Identify key contacts in different countries. This is, in principle, straightforward with iNaturalist because the observers are listed by number of observations they have made. One could select some of the more productive observers from each country and send them messages via iNaturalist asking what are the most serious issues limiting citizen science observations in their countries. To complement this, iNaturalist observation maps can be generated for each country and the data voids (by major taxa) depicted. These areas can then be publicized so that local observers can focus on the areas to help fill observation gaps.

Identifying the data gaps by taxa is crucial. There may be sufficient bird observations, but too few observations of fungi, insects, or other important groups. There should be frequent feedback between scientists and local observers to motivate the expansion of observations, both spatially and taxonomically.

Crucial to expanding citizen science observations would be Zoom-type short courses on how to use eBird and iNaturalist. Although explanatory material is available online from the very thorough eBird and iNaturalist websites, it may be difficult to find. Talks, whether live or virtual, can often be more effective in motivating observers. Downloadable posters may be useful to help to stimulate people who cannot attend Zoom sessions. These could be posted in schools or universities in any country.

It should be noted that citizen science efforts aren’t only about generating more observations for scientists. In fact, this objective probably isn’t even the most important aspect of the effort. It is primarily about generating interest among the public in science and nature.

The eastern part of the island Sumbawa showing all iNaturalist observations. The visual depiction from Google Earth imagery is on the left and the topographic shaded relief depiction is on the right. Move the slider to compare the images. The point of these images is to show that major volcanic edifices with associated dense forest are barely sampled on this island. The region with more observations to the extreme right is part of the Komodo National Park with its large tourist visitation (at least relative to surrounding islands). The large volcanic crater in the upper left is Tambora, whose eruption in 1815 was the largest in the past millennia. Its crater is 6 to 7 km across. The entire scene shown above is about 168 km (~104 mi) across.
All iNaturalist plant observations for the Costa Rica region (part of Panama and Nicaragua is included). The areas with least observations are the Caribbean slope forests (dark green) without easy access. Click on the image for a much larger view. Notable is the relative lack of observations in Nicaragua and western Panama.
A similar (to the figure above) iNaturalist view of the plants of the Costa Rica region but with some underlying geographical details. To see these you must click on the image to see a larger version.
All iNaturalist observations of snakes in the Big Bend area of Texas. Big Bend National Park and other parks in Texas and Mexico are in light green. The Davis Mountains are in the upper left part of the map; click to see a larger image with some labels. The main point of the map is to show that snake reports (either dead or alive) are from the main roads traversing the region. The “data voids” are mostly large ranches. The light blue circles are observations without public positions – the positions in iNaturalist have been randomly smeared to avoid giving the precise locations. The actual positions are very likely to lie along the main roads. The north-south distance on the map is roughly 220 km (~140 mi).

Misleading impressions from citizen science data

There can be misleading impressions derived from basic iNaturalist statistics. For example, there are 442 species of amphibians identified from Colombia, making it among the most diverse country in the World for such fauna. But examining the statistics for individual species one sees that about 260 species, or 59% have 5 or fewer observations and 117 species (26%) have only one observation.

The example of Colombia is not an anomaly – virtually every country shows similar statistics, with a few species dominating the observations and most species having very few observations. Although more (good) observations are always better than fewer ones, citizen scientist observers can benefit from knowing which species need additional observations and which ones are already well-sampled.

Example of a strategy to improve iNaturalist observations

Here we consider an example of how one might proceed to improve iNaturalist observations in a biodiverse region where such observations are seriously lacking. We consider the island of Sumbawa in Indonesia. This island is large – about 165 mi east-west in extent and with more than 10 volcanic mountains in various stages of erosion. These mountains are separated by low-altitude areas of (formerly) seasonal dry forests. In contrast the volcanic peaks have evergreen forest supported by frequent cloudiness even in the dry season. See the figures below for the geographical and climatic situation. Because Google Photos and WordPress don’t have “no-transition” options, I have chosen to display the relief and vegetation relationships via the image-comparisons below.

Topographic shaded relief (left) and imagery from Google Earth (right). Much of Sumbawa still has forest, despite a population of 5 million. The large volcanic crater near the middle is Tambora, whose eruption in 1815 was the largest in recorded history.
Same area as above images except now for vegetation cover with seasonality of cloudiness at 1030AM (from Terra satellite imagery). Red areas are greater cloudiness in dry season (May-Oct) and blue areas are greater cloudiness in Nov-Apr period. White areas are those with similar cloudiness in both seasons. Results are normalized by annual mean cloudiness. Mean winds near surface are from southeast in dry season (May-Oct), hence more cloudiness during this period on the south side of the island.
Closer view of eastern part of Sumbawa showing relief (left) and Terra (1030AM local time) mean cloudiness in dry season (May-Oct). Red is greater cloudiness, white is near zero. Pixel resolution of MODIS is 250m. It is challenging to guess the mean cloudiness pattern from the topography alone. Graphic scale in lower left is 39km.
Same as above except vegetation (visible imagery from Google Earth) and Terra dry season (May-Oct) cloudiness. Mean dry season cloudiness is related to forest areas, but not closely. Cloudiness during the dry season might be a good surrogate for cloud forest environments and related biota. Note that greatest cloudiness is on the west side of Tambora – on the lee side relative to the mean southeasterly winds. Why?
All iNaturalist observations on the island of Sumbawa. The many observations just to the east of Sumbawa are around the Komodo islands – a major touristic attraction. Green dots are plants, blue are vertebrates and red are invertebrates. Apparent is the lack of observations from the forested regions (dark green) of Sumbawa; most observations are from low-altitude, human-modified areas. Click on the image for a larger view.

What is clear from the above imagery comparisons is that the cloudiest regions during the dry season are very poorly sampled by iNaturalist observations. Also, the regions of maximum dry season daytime cloudiness are not easily predictable from the topography or vegetation patterns alone.

Some obvious biogeographical questions arise from the imagery shown above. Do these mountains have similar biota? Or has speciation occurred among the biota that are unable to migrate easily across the intervening lowlands. Are these mountains effectively “sky islands” on a larger island? How much biodiversity is being missed by the undersampling of the mountainous and forested areas of the island? These are general non-technical biogeography questions; specific questions might relate to individual groups of organisms or individual species. All would require many more observations than currently exist. (This discussion assumes no non-iNaturalist observations exist – this is certainly not true and many specimens from the island must exist in museums around the world. Whether they well-sample the various isolated mountains on Sumbawa is another matter.)

To devise an effective sampling strategy for the highest priority areas on the island would be a logical next step. This might include mounting a few expeditions with many observers to remote mountain locations (possibly costly and time-intensive) or to sample more frequently the easily accessed sites at lower elevation. The latter might be more feasible, but also more likely to sample human-altered landscapes and to observe species already observed. The remote expedition sampling strategy would be more complex to arrange but would likely produce more novel observations – and provide a more motivational experience for those who participate.

How to identify local iNaturalists for the survey work

A straightforward way to identify active iNaturalist individuals is to search a region for the top iNaturalist observers. An example is shown for the country of Belize below (iNaturalist observations from the island of Sumbawa could not be separated cleanly from other areas/islands). Perusing the observer’s online summary will allow local observers to be identified and then contacted. If a number of such individuals can be contacted they can continue the process of identifying other locals to help with “expedition” planning. The local iNaturalist’s can also train other observers to participant in the expedition.

Top iNaturalist’s making Belize observations. The list can be made as long as needed. The residence of these observers cannot be identified from this list, but often this information is available for many observers.

As with iNaturalist observations, observers reporting on eBird also can also be stratified by observations (checklists) for any country. These require more scrutiny, since many are tourists or birding tour guides to popular birdwatching countries. High-count eBirders are often also frequent iNaturalist contributors as well.

Top eBird contributors making observations in Belize. The list can be as long as needed. Note that the actual country of residence isn’t easy to discern from this list alone.

An actual expedition to an isolated location would benefit from a number of participants, each specialized to a certain degree. For example, in some countries, binoculars might not be common, nor cameras with good telephoto lenses. A “birding” subgroup might use the available binoculars and telephoto-equipped cameras to locate and document birds. Another subgroup might locate invertebrates under logs, along tree trunks or in foliage. Smartphone cameras would suffice for such observations (though best-practice procedures should be used to document key features of such biota). A plant subgroup might collect herbarium specimens, after photographing them in the field. Together, the group should be able to describe a great many biota.

There would be an iterative process of improving iNaturalist expeditions with time. But such expeditions, carried out perhaps every few months, would be able to eventually sample many of the current data voids on Sumbawa.

Perhaps the most important by-product of the iNaturalist expeditions would be the building of a cadre of citizen scientists capable of instilling this interest in others. The best teachers will be those locals who have a deep understanding of how iNaturalist works and who see the benefit of making the observations. For this, they will need feedback from scientists that use their observations.